CN110991911A - User load specificity-oriented thermoelectric cooperative scheduling system and method - Google Patents
User load specificity-oriented thermoelectric cooperative scheduling system and method Download PDFInfo
- Publication number
- CN110991911A CN110991911A CN201911244900.XA CN201911244900A CN110991911A CN 110991911 A CN110991911 A CN 110991911A CN 201911244900 A CN201911244900 A CN 201911244900A CN 110991911 A CN110991911 A CN 110991911A
- Authority
- CN
- China
- Prior art keywords
- user
- heat
- storage device
- energy storage
- power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000004146 energy storage Methods 0.000 claims abstract description 87
- 230000033228 biological regulation Effects 0.000 claims abstract description 43
- 238000005338 heat storage Methods 0.000 claims abstract description 27
- 238000010248 power generation Methods 0.000 claims description 62
- 238000010438 heat treatment Methods 0.000 claims description 49
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 34
- 238000004891 communication Methods 0.000 claims description 11
- 238000007619 statistical method Methods 0.000 claims description 5
- NCQKSUNJAAZVJW-UKTHLTGXSA-N (2e)-2-(2-phenylethylhydrazinylidene)propanoic acid Chemical compound OC(=O)C(/C)=N/NCCC1=CC=CC=C1 NCQKSUNJAAZVJW-UKTHLTGXSA-N 0.000 claims description 4
- RZZGGSCKACYXBQ-UHFFFAOYSA-N 3,5,6,7,8,9-hexahydro-2h-cyclohepta[c]pyridazin-3-ylhydrazine Chemical compound C1CCCCC2=CC(NN)NN=C21 RZZGGSCKACYXBQ-UHFFFAOYSA-N 0.000 claims description 4
- RZGZMLICFFEUIQ-UHFFFAOYSA-N 5-[(1-phenylcyclohexyl)amino]pentanoic acid Chemical compound C=1C=CC=CC=1C1(NCCCCC(=O)O)CCCCC1 RZGZMLICFFEUIQ-UHFFFAOYSA-N 0.000 claims description 3
- 238000007599 discharging Methods 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims description 3
- 241001652065 Trigonopeltastes delta Species 0.000 claims description 2
- 238000010521 absorption reaction Methods 0.000 abstract description 3
- 230000001276 controlling effect Effects 0.000 description 7
- 230000006399 behavior Effects 0.000 description 6
- 238000005265 energy consumption Methods 0.000 description 3
- 230000020169 heat generation Effects 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- DYVFBWXIOCLHPP-UHFFFAOYSA-N chembl368427 Chemical compound N#CC=1C(N)=NC(C=2C(=CC=CC=2O)OCC2CC2)=CC=1C1CCNCC1 DYVFBWXIOCLHPP-UHFFFAOYSA-N 0.000 description 2
- 230000007274 generation of a signal involved in cell-cell signaling Effects 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 101001011668 Homo sapiens Muscular LMNA-interacting protein Proteins 0.000 description 1
- 102100030176 Muscular LMNA-interacting protein Human genes 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Heat-Pump Type And Storage Water Heaters (AREA)
Abstract
The invention discloses a thermoelectric cooperative scheduling system facing to user load specificity, which comprises: a cogeneration unit and a wind generating set; a user dispersed heat storage unit; a user heat consumption unit connected with the cogeneration unit through a centralized heat supply network; the first energy storage device is used for storing heat at the source end; a user dispersed heat storage unit; the first remote centralized controller and the second remote centralized controller are respectively used for controlling and managing the cogeneration unit and the wind generating set; the third remote centralized controller is used for controlling and managing the user scattered heat storage units and the user heat consumption units; according to the method, the user load specificity is considered to the dispatching system, different dispatching controls are carried out on users under different conditions, the system control precision is improved, the potential power regulation capacity provided by the user load difference is fully excavated, and the maximum consumption of wind power is realized. The flexibility of cogeneration and the absorption capacity of renewable energy sources are improved.
Description
Technical Field
The invention relates to the technical field of power system analysis, in particular to a user load specificity-oriented thermoelectric cooperative scheduling system and method.
Background
With the rapid development of economy, the gradual exhaustion of primary energy and the outstanding satisfaction of environmental pollution problems, green renewable energy is more and more concerned by various countries. The installed capacity and grid-connected scale of wind power in China are increased year by year, but the wind power grid-connected scale also faces a serious wind abandon phenomenon. Relevant researches show that the multi-wind period and the heating peak period in the three north areas of China coincide, and the rapid reduction of the peak regulation capacity of the system caused by heating in the heating period of a thermal power plant is a main reason for wind abandonment.
The traditional 'electricity utilization for heat determination' operation mode limits the electricity output adjusting range of the cogeneration unit, so that the peak load regulation capacity of the system is reduced, the wind power resource receiving capacity of the system is further reduced, and a large amount of wind is abandoned; meanwhile, the existing peak regulation system can also participate in the provided potential power regulation capability by neglecting the difference of different users, so that the flexibility of cogeneration and the consumption capability of renewable energy sources are improved.
In view of the foregoing, it is desirable to provide a method and system for optimizing the coordination of load and energy storage caused by user variability.
Disclosure of Invention
In order to solve the above technical problem, the technical solution adopted by the present invention is to provide a thermoelectric cooperative scheduling system facing user load specificity, including:
a cogeneration unit and a wind generating set connected by a power cable network;
the user dispersed heat storage unit is connected with the cogeneration unit and the wind generating set in parallel through a power cable network;
a user heat consumption unit connected with the cogeneration unit through a centralized heat supply network;
the first energy storage device is used for storing heat at the source end;
the user scattered heat storage unit F comprises a user heat pump remote control switch, a heat pump, a second energy storage device and a meter, wherein the user heat pump remote control switch and the heat pump are connected in series;
the user heat consumption unit comprises a radiator remote control switch, a hot water type heating radiator and a hot water consumption meter, wherein the radiator remote control switch, the hot water type heating radiator and the hot water consumption meter are connected in series;
the first remote centralized controller and the second remote centralized controller are respectively used for controlling and managing the cogeneration unit and the wind generating set;
the third remote centralized controller is used for controlling and managing the user scattered heat storage units and the user heat consumption units;
the first remote centralized controller, the second remote centralized controller, the third remote centralized controller and the mobile terminal are in wireless communication connection with the comprehensive scheduling control device;
the first remote centralized controller collects the heat and power generation information of the cogeneration unit and the heat of the first energy storage device and transmits the heat and power to the comprehensive scheduling control device; the second remote centralized controller collects the power generation information of the wind generating set and transmits the power generation information to the comprehensive dispatching control device; the third remote centralized controller collects the non-heating power consumption of each user, the hot water inflow amount detected by the hot water consumption meter, the position and the quantity of the user and the indoor and outdoor temperature of each user, and respectively transmits the information to the comprehensive dispatching control device;
the comprehensive dispatching control device receives information such as the position, the number, the indoor and outdoor temperatures, the remote control switch state and the like of a terminal user, is connected with the computer service system through a communication cable, drives the computer service system to calculate, and determines that dispatching control signals are respectively transmitted to the first remote centralized controller and the third remote centralized controller; the first remote centralized controller controls the generated energy and the heat supply of the cogeneration unit and the heat storage and release of the first energy storage device according to the scheduling control signal; and the third remote centralized controller respectively drives the radiator remote control switch, the user heat pump remote control switch and the heat storage and release of the second energy storage device according to the scheduling control signal.
In the scheme, the comprehensive scheduling control device positions the position state of the mobile terminal in real time through the wireless communication base station and acquires whether a user is in an indoor state;
the target temperature set by the user through the mobile terminal when the user is indoors and the target temperature set by the user when the user is not indoors have temperature thresholds respectively.
In the above scheme, the user sets the user mode through the mobile terminal, including
Intelligent mode: the comprehensive regulation and control device controls the generated energy and the heat supply quantity of the cogeneration unit, the heat accumulation and the heat discharge of the first energy storage device and the second energy storage device, controls the radiator remote control switch and the user heat pump remote control switch according to the switching states of the radiator remote control switch and the user heat pump remote control switch, whether the user is in an indoor state and the reference temperature corresponding to the indoor state, controls the generated energy and the heat supply quantity of the cogeneration unit according to the user type, and realizes the indoor temperature regulation by the heat accumulation and the heat discharge of the first energy storage device and the.
A normal mode: the user sets the indoor temperature to be a fixed value, no people are in the room, the comprehensive regulation and control device controls the heat generation amount and the heat supply amount of the cogeneration unit according to the switch states of the heat radiator remote control switch and the user heat pump remote control switch according to the user type, the heat storage and the heat release of the first energy storage device and the second energy storage device are used for controlling the heat radiator remote control switch and the user heat pump remote control switch, the user type controls the heat generation amount and the heat supply amount of the cogeneration unit, and the heat storage and the heat release of the first energy storage device and the second energy storage device are used for realizing the adjustment of the indoor temperature.
In the above scheme, the mobile terminal user setting includes a general account and a plurality of sub-accounts, and the general account can set a user mode and a reference temperature.
In the above scheme, the specific control signal generation process of the integrated scheduling control device is as follows:
a1, the comprehensive scheduling control device receives variables collected by each controller;
a2, predicting the total output of the wind generating set and the total heat demand of a user in a future period of time;
a3, establishing a scheduling model by taking the minimum difference value of the wind power generation output before and after adjustment as a target, solving the model, and determining to obtain each variable as a regulation signal;
and A4, generating a regulation signal by the comprehensive dispatching control device according to the change of the user behavior data and the operation result of the step A3, and sending the regulation signal to a corresponding controller for thermoelectric regulation.
The invention also provides a user load specificity-oriented thermoelectric cooperative scheduling method based on the system, which comprises the following steps:
s1, the comprehensive scheduling control system receives variables acquired by each controller, and the variables comprise:
after a user i sets a required reference temperature, a collector collects heating power of a hot water type heating heat exchanger, a heat pump and a tail end energy storage device and sends the heating power to a comprehensive dispatching control system;
collecting 0 to delta tcIn the time period, the generated output and the hot output of the cogeneration unit and the output of the source end energy storage device are sent to the comprehensive dispatching control system;
collecting 0 to delta tcIn the time period, the power generation output of the wind generating set is sent to the comprehensive dispatching control system;
s2, predicting the total output of the wind generating set and the total heat demand of a user in a future period of time;
s3, establishing a scheduling model by taking the minimum difference value of the wind power generation output before and after adjustment as a target, solving the model, and determining to obtain each variable as a regulation signal;
s4, according to the change of the user behavior data and the operation result of the step S3, the comprehensive dispatching control system generates a regulation signal and sends the regulation signal to a corresponding controller for thermoelectric regulation, and the thermoelectric regulation method specifically comprises the following steps:
in the above method, the step S2 includes the steps of:
s21, calculating 0 to delta tcIn the time period, the total output of the wind generating set is as follows:
in the formula, M represents the number of wind power generators,
the power is generated and output by the wind generating set;
predicting total output of wind generating set in future period of time by utilizing statistical analysis method
According to PCHP(t) and HCHP(t) predicting the generated output of a cogeneration unit for a period of time in the future
And thermal output
S22, calculating the heat demand of the user i:
in the formula, Tset，iReference temperature, T, set for user iin，iIndoor air temperature, T, for user ioutIs the outdoor air temperature, hi，h(t-ΔT)、hi，e(T-. DELTA.T) and hi，ts(t- Δ T) are the heating power of the hot water type heating heat exchanger, the heating power of the heat pump and the heating power of the terminal energy storage device, respectively;
the total heat demand of the user is as follows:
Q(t)＝∑Qi(t) (3)
in the above method, the step S3 specifically includes the steps of:
establishing a dispatching model by taking the minimum difference value of the wind power generation output before and after regulation as a target, and further acquiring each variable as a regulation signal;
the objective function is:
Minimum：
in the formula, ppv(t) is the adjusted wind power generation output,
generating output for the target wind power;
in the formula, pCHP(t) adjusting the power generation output of the cogeneration unit; p is a radical ofEHP(t) is the sum of the heat pump power consumption of N users i at the moment t;
predicting the total output of the wind generating set in a future period of time;
constraint conditions are as follows:
① Heat Pump constraints:
EERi＝hi，e(t)/pi，e(t) (6)
in the formula, EERiFor the heat pump heating energy efficiency ratio of the user i,
the heating power of the heat pump of the user i at the moment t is shown;
the sum of the heat pump power consumptions of the users at the moment t is as follows:
PEHP(t)＝∑pi，e(t) (7)
② heat supply balance condition
The total heat demand of the heat consumer is the total heat supply:
in the formula, HTS(t) the output of the source end energy storage device;
the demand of each heat consumer is the sum of the heat supply of each end:
③ Cogeneration set constraints:
lower limit of power generation output:
lower limit of power generation output:
and (3) limiting the generated output:
combined heat and power generation heat and power ratio constraint:
hCHP(t)＝RDB·pCHP(t) (13)
in the formula, PCHPThe capacity of the cogeneration unit;
the minimum generated output of the adjusted cogeneration unit is obtained; p is a radical ofCHP(t) adjusting the power generation output of the cogeneration unit;
for adjusting the maximum power output of the combined heat and power generation unit, RDB is the heat-power ratio of the combined heat and power generation unit, ηCHP(t) efficiency of the cogeneration unit; h isCHP(t) the thermal output of the cogeneration unit; f. ofCHP(t) is the combined heat and power consumption;
④ heat source energy storage device constraint condition:
maximum power limit:
capacity limitation of the energy storage device:
⑤ end energy storage device constraint condition:
maximum power limit:
capacity limitation of the energy storage device:
in the above method, the step S4 includes:
generating output p of cogeneration unitCHP(t) and Heat output hCHP(t) power H from the source energy storage deviceTS(t), user's on-off state
And
end energy storage device storing and discharging power hi，ts(t), electric power consumption h of the Heat Pumpi，eAnd (t) sending the power to a controller, and controlling and adjusting the generated output and the hot water flow of the cogeneration unit, a hot water heating radiator switch, a user heat pump switch and a tail end energy storage device in a future period by the controller.
According to the method, the user load specificity is considered to the dispatching system, different dispatching controls are carried out on users under different conditions, the system control precision is improved, the potential power regulation capacity provided by the user load difference is fully excavated, and the maximum consumption of wind power is realized. The flexibility of cogeneration and the absorption capacity of renewable energy sources are improved.
Drawings
FIG. 1 is a block diagram of a system provided in the present invention;
fig. 2 is a flow chart provided in the present invention.
Detailed Description
In the description of the present application, it should be noted that the terms "vertical", "upper", "lower", "horizontal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present application. The invention is described in detail below with reference to specific embodiments and the accompanying drawings.
As shown in fig. 1, the present invention provides a thermoelectric cooperative scheduling system facing user load specificity, comprising:
a cogeneration unit a and a wind power generator unit B connected by a power cable network 201;
and a user dispersed heat storage unit F connected in parallel with the cogeneration unit a and the cogeneration unit B through the power cable network 201;
a user heat consumption unit G connected with the cogeneration unit A through the centralized heat supply network 101;
a first energy storage device C1 for source end heat storage;
the user scattered heat storage unit F comprises a user heat pump remote control switch 202, a heat pump 203, a second energy storage device C2 for storing heat at the tail end in a scattered manner and a meter 204 for detecting the power consumption of the heat pump 203 and the heat input and output of the second energy storage device C2 which are connected in series;
the user heat consumption unit G comprises a radiator remote control switch 102, a hot water type heating radiator 103, and a hot water consumption meter 104 for detecting the hot water consumption of the hot water type heating radiator 103, which are connected in series;
a first remote centralized controller 1121 and a second remote centralized controller 1122 for controlling and managing the cogeneration unit a and the cogeneration unit B, respectively;
a third remote centralized controller 1123 for controlling and managing the user distributed heat storage unit F and the user heat consumption unit G;
in this embodiment, the first remote centralized controller 1121, the second remote centralized controller 1122, the third remote centralized controller 1123, and the mobile terminal D are all in wireless communication connection with the integrated scheduling control device 1124 via the wireless communication base station E.
The first remote centralized controller 1121 acquires the heat and power generation information of the cogeneration unit a and the heat of the first energy storage device C1 and transmits the heat and power to the integrated scheduling control device 1124; meanwhile, the first remote centralized controller 1121 also receives a scheduling control signal sent by the comprehensive scheduling control device 1124, and controls the generated energy and the heat supply of the cogeneration unit a and the heat storage and release of the first energy storage device C1 according to the scheduling control signal;
the second remote centralized controller 1122 collects power generation information of the cogeneration unit B and transmits the power generation information to the integrated scheduling control device 1124;
the third remote centralized controller 1123 collects the non-heating power consumption of each user, the inflow amount of hot water detected by the hot water consumption meter 104, the position and quantity of the user, and the indoor and outdoor temperature of each user, and transmits the information to the integrated scheduling control device 1124 respectively; the third remote centralized controller 1123 further receives a scheduling control signal sent by the integrated scheduling control device 1124, and respectively drives the heat storage and release of the radiator remote control switch 102, the user heat pump remote control switch 202 and the second energy storage device C2 according to the scheduling control signal;
the integrated scheduling controller 1124 receives information about the location, number, indoor and outdoor temperature, and remote switch status of the end user, connects to the computer service system 205 via a communication cable, drives the computer service system 205 to determine a scheduling control signal, and then transmits the scheduling control signal to the first remote centralized controller 1121 and the third remote centralized controller 1123 via the communication cable.
In this embodiment, the number of users may be determined according to the user information bound to the mobile terminal D.
In this embodiment, the integrated scheduling control device 1124 locates the position status of the mobile terminal D in real time through the wireless communication base station E, and needs to acquire whether the user is in an indoor status;
the target temperature set by the user through the mobile terminal D when the user is indoors and the target temperature set by the user when the user is not indoors have temperature thresholds respectively; at the same time, a user mode can be optionally set, wherein,
the user mode comprises an intelligent mode (A-type user) or a common mode (B-type user);
smart mode (class a user): the comprehensive dispatching control device 1124 controls the heat storage and release of the first energy storage device C1 and the second energy storage device C2, controls the heat radiator remote control switch 102 and the user heat pump remote control switch 202 according to the switching states of the heat radiator remote control switch 102 and the user heat pump remote control switch 202, whether the user is in the indoor state and the reference temperature corresponding to the state, and controls the heat generation amount and the heat supply amount of the cogeneration unit A according to the user type, controls the heat storage and release of the first energy storage device C1 and the second energy storage device C2, and realizes the adjustment of the indoor temperature.
Normal mode (class B user): the user sets the indoor temperature to be a fixed value, no people are in the room, the comprehensive scheduling control device 1124 controls the generated energy and the heat supply quantity of the cogeneration unit A according to the switch states of the radiator remote control switch 102 and the user heat pump remote control switch 202 by the user type, the heat storage and the heat release of the first energy storage device C1 and the second energy storage device C2 control the radiator remote control switch 102 and the user heat pump remote control switch 202 by the user type, the generated energy and the heat supply quantity of the cogeneration unit A are controlled by the user type, and the heat storage and the heat release of the first energy storage device C1 and the second energy storage device C2 realize the adjustment of the indoor temperature.
In this embodiment, since a user may include a plurality of users, the user setting of the mobile terminal D includes a main account and a plurality of sub-accounts, the main account can set user mode selection and reference temperature, and the setting of each sub-account is convenient for more intelligently determining and adjusting the indoor temperature according to whether someone is in the room.
According to the embodiment, the user load specificity is considered to the dispatching system, different dispatching controls are carried out on users under different conditions, the system control precision is improved, the potential power adjusting capacity which can be provided by the user load difference is fully excavated, and the maximum consumption of wind power is realized. The flexibility of cogeneration is improved, and the absorption capacity of renewable energy is improved.
The above embodiments are described below in detail.
After the user sets the required reference temperature, the third remote centralized controller 1123 collects the heating power of the hot water type heating radiator 103, the heat pump 203, the first energy storage device C1 and the second energy storage device C2;
with the delta T as a sampling period, the comprehensive scheduling control device 1124 collects the entrance and exit behaviors of the user, records the sampling times T when the entrance/exit behaviors of the user are collected, and predicts the total energy consumption information of a period of time in the future;
at 0 to delta tcIn the time period, the integrated scheduling control device 1124 predicts the capacity information of a future time period by using a statistical analysis method according to the received capacity information of the cogeneration unit a and the cogeneration unit B; Δ tc＝T×ΔT；
According to the predicted capacity information and energy consumption information, under the condition that energy consumption and capacity are equal and the user intention are met is guaranteed, the comprehensive scheduling control device 1124 sends a regulation signal to the user smart phone D and the third remote controller 1123, controls the on-off states of the radiator remote control switch 102 and the user heat pump remote control switch 202 of the user, sends a regulation signal to the third remote controller 1123, sends the storage and discharge output of the second energy storage device C2 to the first remote controller 1121, regulates the power generation output and the hot water flow of the cogeneration unit A and the storage and discharge output of the first energy storage device C1, and achieves maximum wind power consumption.
In this embodiment, the integrated scheduling control device 1124 specifically controls the signal generation process as follows:
a1, receiving variables collected by each controller by the integrated scheduling control device 1124, including:
after the user i sets the desired reference temperature, the third remote controller 1123 collects the heating power h of the hot water type heat exchanger 103, the heat pump 203 and the second energy storage device C2i，h(t)、hi，e(t) and hi，ts(t) and sends it to the integrated scheduling control unit 1124;
collecting 0 to delta tcIn the time period, the power generation output p of the cogeneration unit ACHP(t) and Heat output hCHP(t), and a first energy storage device C1 output HTS(t) and transmits it to the integrated scheduling control apparatus 1124;
collecting 0 to delta tcIn the time period, the power generation output of the cogeneration unit B
And sent to the integrated scheduling control device 1124;
a2, predicting the total output of the cogeneration unit B and the total heat demand of users in a future period of time;
a21, calculating 0-delta tcIn the time period, the total output of the cogeneration unit B:
in the formula, M represents the number of wind driven generators;
predicting the total output of the combined heat and power generation unit B in a future period of time by utilizing a statistical analysis method
According to pCHP(t) and hCHP(t) predicting the power output of the cogeneration unit A for a future period of time
And thermal output
A22, calculating the heat demand of the user i:
in the formula, Tset，iReference temperature, T, set for user iin，iIndoor air temperature, T, for user ioutIs the outdoor air temperature.
The total heat demand of the user is as follows:
Q(t)＝∑Qi(t) (3)
a3, establishing an objective function, performing iterative solution on the objective function, and determining to obtain each variable as a regulation signal;
in the embodiment, a dispatching model is established by taking the minimum difference value of the wind power generation output before and after adjustment as a target, and then each variable is obtained to be used as a regulation signal;
the objective function is:
Minimum：
in the formula, ppv(t) is the adjusted wind power generation output,
generating output for the target wind power;
in the formula, pCHP(t) the regulated power generation output of the combined heat and power generation unit A; p is a radical ofEHP(t) heat of each user i at time tThe sum of the power consumed by the pump;
constraint conditions are as follows:
① Heat Pump constraints:
EERi＝hi，e(t)/pi，e(t) (6)
in the formula, EERiThe heat pump heating energy efficiency ratio h of the user ii，e(t) Heat Pump heating Power, p, for user i at time ti，e(t) is the heat pump power consumption of the user i at the moment t;
the sum of the heat pump power consumptions of the users at the moment t is as follows:
PEHP(t)＝∑pi，e(t) (7)
② heat supply balance condition
The total heat demand of the heat consumer is the total heat supply:
the demand of each heat consumer is the sum of the heat supply of each end:
in the formula,
a switch signal (0-1) of the user electric heat pump at time i,
for the maximum heating power of the i users,
maximum heating power of heating heat exchanger for i-user
A switching signal (0-1) of a user heating heat exchanger at time i;
③ Cogeneration set constraints:
lower limit of power generation output:
lower limit of power generation output:
and (3) limiting the generated output:
combined heat and power generation heat and power ratio constraint:
hCHP(t)＝RDB·pCHP(t) (13)
in the formula, PCHPThe capacity of the cogeneration unit a;
the minimum power generation output of the combined heat and power generation unit A is adjusted; p is a radical ofCHP(t) the regulated power generation output of the combined heat and power generation unit A;
for adjusting the maximum generated output of the combined heat and power generation unit A, RDB is the heat-to-electricity ratio of the combined heat and power generation unit A, ηCHP(t) efficiency of the cogeneration unit a; h isCHP(t) the heat output of the cogeneration unit A; f. ofCHP(t) is the combined heat and power consumption;
④ heat source energy storage device constraint condition:
maximum power limit:
capacity limitation of the energy storage device:
⑤ end energy storage device constraint condition:
maximum power limit:
capacity limitation of the energy storage device:
in this embodiment, the model can be solved by linear programming or MLIP.
And A4, generating a regulation signal by the comprehensive dispatching control device 1124 according to the change of the user behavior data and the operation result of the step A3, and sending the regulation signal to a corresponding controller for thermoelectric regulation.
Switching state of user
And
sending the power consumption h of the heat pump to a user mobile phone D and a third remote controller 1123i，e(t) the second energy storage device C2 stores and releases power hi，ts(t) sending to the third remote controller 1123, and changing the working states of the hot-water heating radiator remote control switch 102 and the user heat pump remote control switch 202 and the storage power of the second energy storage device C2 through the third remote controller 1123;
the generated power p of the cogeneration unit ACHP(t) and Heat output hCHP(t) and the first energy storage device C1 output HTS(t) is sent to the first remote controller 1121 to adjust the power generation output and the hot water flow of the cogeneration unit a in a future period of time.
The invention also provides a thermoelectric cooperative scheduling method facing user load specificity based on the system, which comprises the following steps:
s1, the comprehensive scheduling control system receives variables acquired by each controller, and the variables comprise:
after a user i sets a required reference temperature, a collector collects the heating power h of the hot water type heating heat exchanger, the heat pump and the tail end energy storage devicei，h(t)、hi，e(t) and hi，ts(t) and sending to the comprehensive scheduling control system;
collecting 0 to delta tcGenerating output P of cogeneration unit in time periodCHP(t) and Heat output HCHP(t), and source energy storage device output HTS(t) and sending to the comprehensive scheduling control system;
collecting 0 to delta tcIn the time period, the wind generating set generates power
And sending the data to a comprehensive dispatching control system;
s2, predicting the total output of the wind generating set and the total heat demand of a user in a future period of time;
s21, calculating 0 to delta tcIn the time period, the total output of the wind generating set is as follows:
in the formula, M represents the number of wind driven generators;
predicting total output of wind generating set in future period of time by utilizing statistical analysis method
According to PCHP(t) and HCHP(t) predicting the generated output of a cogeneration unit for a period of time in the future
And thermal output
S22, calculating the heat demand of the user i:
in the formula, Tset，iReference temperature, T, set for user iin，iIndoor air temperature, T, for user ioutIs the outdoor air temperature.
The total heat demand of the user is as follows:
Q(t)＝∑Qi(t)；
s3, establishing a scheduling model by taking the minimum difference value of the wind power generation output before and after adjustment as a target, solving the model, and determining to obtain each variable as a regulation signal;
in the embodiment, the minimum value of the target function is obtained, and then each variable is obtained to be used as a regulation signal;
the objective function is:
Minimum：
in the formula, ppv(t) is the adjusted wind power generation output,
generating output for the target wind power;
in the formula, pCHP(t) adjusting the power generation output of the cogeneration unit; p is a radical ofEHP(t) is the sum of the heat pump power consumption of N users i at the moment t;
constraint conditions are as follows:
① Heat Pump constraints:
EERi＝hi，e(t)/pi，e(t)
the sum of the heat pump power consumptions of the users at the moment t is as follows:
PEHP(t)＝∑pi，e(t)
② heat supply balance condition
The total heat demand of the heat consumer is the total heat supply:
the demand of each heat consumer is the sum of the heat supply of each end:
③ Cogeneration set constraints:
lower limit of power generation output:
lower limit of power generation output:
and (3) limiting the generated output:
combined heat and power generation heat and power ratio constraint:
hCHP(t)＝RDB·pCHP(t)
in the formula, PCHPThe capacity of the cogeneration unit;
the minimum generated output of the adjusted cogeneration unit is obtained; p is a radical ofCHP(t) adjusting the power generation output of the cogeneration unit;
for adjusting the maximum power output of the combined heat and power generation unit, RDB is the heat-power ratio of the combined heat and power generation unit, ηCHP(t) efficiency of the cogeneration unit; h isCHP(t) the thermal output of the cogeneration unit; f. ofCHP(t) is the combined heat and power consumption;
④ heat source energy storage device constraint condition:
maximum power limit:
capacity limitation of the energy storage device:
⑤ end energy storage device constraint condition:
maximum power limit:
capacity limitation of the energy storage device:
and S4, generating a regulation and control signal by the comprehensive dispatching control system according to the change of the user behavior data and the operation result of the step S3, and sending the regulation and control signal to a corresponding controller for thermoelectric regulation.
Generating output p of cogeneration unitCHP(t) and Heat output hCHP(t) power H from the source energy storage deviceTS(t), user's on-off state
And
end energy storage device storing and discharging powerhi，ts(t), electric power consumption h of the Heat Pumpi，eAnd (t) sending the power to a controller, and controlling and adjusting the generated output and the hot water flow of the cogeneration unit, a hot water heating radiator switch, a user heat pump switch and a tail end energy storage device in a future period by the controller.
The present invention is not limited to the above-mentioned preferred embodiments, and any structural changes made under the teaching of the present invention shall fall within the protection scope of the present invention, which has the same or similar technical solutions as the present invention.
Claims (9)
1. A user load-specific oriented thermoelectric co-scheduling system, comprising:
a cogeneration unit (A) and a wind power generator unit (B) connected by a power cable network (201);
and a user dispersed heat storage unit (F) connected in parallel with the cogeneration unit (A) and the wind generating set (B) through a power cable network (201);
a consumer heat consumption unit G connected with the cogeneration unit A through a concentrated heat network 101;
a first energy storage device (C1) for source side heat storage;
the user distributed heat storage unit F comprises a user heat pump remote control switch (202), a heat pump (203), a second energy storage device (C2) and a meter (204), wherein the user heat pump remote control switch (202), the heat pump (203), the second energy storage device (C2) and the meter are connected in series, and the meter is used for detecting the power consumption of the heat pump (203) and the heat input and output of the second energy storage device (C2);
the user heat consumption unit (G) comprises a radiator remote control switch (102), a hot water type heating radiator (103) and a hot water consumption meter (104) for detecting the hot water consumption of the hot water type heating radiator (103) which are connected in series;
a first remote centralized controller (1121) and a second remote centralized controller (1122) which are respectively used for controlling and managing the cogeneration unit (A) and the wind generating unit (B);
a third remote centralized controller (1123) for controlling and managing the user distributed heat storage unit (F) and the user heat consumption unit (G);
the first remote centralized controller (1121), the second remote centralized controller (1122), the third remote centralized controller (1123) and the mobile terminal (D) are in wireless communication connection with the comprehensive scheduling control device (1124);
the method comprises the steps that a first remote centralized controller (1121) collects heat and power generation information of a combined heat and power generation unit (A) and heat entering and exiting from a first energy storage device (C1) and transmits the heat and power to a comprehensive dispatching control device (1124); the second remote centralized controller (1122) collects power generation information of the wind generating set (B) and transmits the power generation information to the comprehensive dispatching control device (1124); a third remote centralized controller (1123) collects the non-heating electricity consumption of each user, the hot water inflow amount detected by a hot water consumption meter (104), the position and the number of the users and the indoor and outdoor temperatures of each user, and respectively transmits the information to a comprehensive scheduling control device (1124);
the comprehensive dispatching control device (1124) receives information such as the position, the number, the indoor temperature, the outdoor temperature, the remote control switch state and the like of an end user, is connected with the computer service system (205) through a communication cable, drives the computer service system (205) to calculate, and determines that dispatching control signals are respectively transmitted to the first remote centralized controller (1121) and the third remote centralized controller (1123); the first remote centralized controller (1121) controls the power generation and heat supply of the cogeneration unit (A) and the heat storage and release of the first energy storage device (C1) according to the scheduling control signal; and the third remote centralized controller (1123) respectively drives the radiator remote control switch (102), the user heat pump remote control switch (202) and the second energy storage device (C2) to store and release heat according to the dispatching control signal.
2. The system of claim 1, wherein said integrated scheduling control means (1124) locates the position status of the mobile terminal (D) in real time through the wireless communication base station (E), and collects the status of whether the user is indoors;
the target temperature set by the user through the mobile terminal (D) when the person is indoors and the target temperature set by the user when the person is not indoors have temperature thresholds respectively.
3. The system of claim 1, wherein the user sets a user mode via the mobile terminal (D), including
Intelligent mode: the comprehensive control device (1124) controls the generated energy and the heat supply quantity of the cogeneration unit (A) according to the on-off states of the radiator remote switch (102) and the user heat pump remote switch (202), whether a user is in an indoor state or not and the reference temperature corresponding to the state, the user type controls the generated energy and the heat supply quantity of the cogeneration unit (A), the heat storage and release of the first energy storage device (C1) and the second energy storage device (C2) controls the radiator remote switch (102), the user heat pump remote switch (202), the user type controls the generated energy and the heat supply quantity of the cogeneration unit (A), and the heat storage and release of the first energy storage device (C1) and the second energy storage device (C2) realize the adjustment of the indoor temperature.
A normal mode: the user sets the indoor temperature to be a fixed value, no people are in the room, the comprehensive regulation and control device (1124) controls the generated energy and the heat supply of the cogeneration unit (A) according to the switch states of the radiator remote switch (102) and the user heat pump remote switch (202), the user type controls the generated energy and the heat supply of the cogeneration unit (A), the heat of the first energy storage device (C1) and the second energy storage device (C2) is accumulated and released, the radiator remote switch (102) is controlled, the user heat pump remote switch (202) controls the generated energy and the heat supply of the cogeneration unit (A), and the heat of the first energy storage device (C1) and the second energy storage device (C2) is accumulated and released to realize the adjustment of the indoor temperature.
4. The system according to claim 1, characterized in that the mobile terminal (D) user profile comprises a general account and a plurality of sub-accounts, the general account being configured for user mode and reference temperature.
5. The system of claim 1, wherein said integrated schedule control means (1124) is configured to generate specific control signals as follows:
a1, receiving variables collected by each controller by a comprehensive scheduling control device (1124);
a2, predicting the total output and the total heat demand of a user of a wind generating set (B) in a future period of time;
a3, establishing a scheduling model by taking the minimum difference value of the wind power generation output before and after adjustment as a target, solving the model, and determining to obtain each variable as a regulation signal;
and A4, generating a regulation signal by the comprehensive dispatching control device (1124) according to the change of the user behavior data and the operation result of the step A3, and sending the regulation signal to a corresponding controller for thermoelectric regulation.
6. A user load specificity-oriented thermoelectric cooperative scheduling method based on the system of any one of claims 1 to 5, comprising the following steps:
s1, the comprehensive scheduling control system receives variables acquired by each controller, and the variables comprise:
after a user i sets a required reference temperature, a collector collects heating power of a hot water type heating heat exchanger, a heat pump and a tail end energy storage device and sends the heating power to a comprehensive dispatching control system;
collection 0 to △ tcIn the time period, the generated output and the hot output of the cogeneration unit and the output of the source end energy storage device are sent to the comprehensive dispatching control system;
collection 0 to △ tcIn the time period, the power generation output of the wind generating set is sent to the comprehensive dispatching control system;
s2, predicting the total output of the wind generating set and the total heat demand of a user in a future period of time;
s3, establishing a scheduling model by taking the minimum difference value of the wind power generation output before and after adjustment as a target, solving the model, and determining to obtain each variable as a regulation signal;
and S4, generating a regulation and control signal by the comprehensive dispatching control system according to the change of the user behavior data and the operation result of the step S3, and sending the regulation and control signal to a corresponding controller for thermoelectric regulation.
7. The method of claim 6, wherein the step S2 includes the steps of:
s21, calculating 0 to delta tcIn the time period, the total output of the wind generating set is as follows:
wherein M represents the number of wind power generators, Pi pv(t) generating output power of the wind generating set;
predicting total output of wind generating set in future period of time by utilizing statistical analysis method
According to PCHP(t) and HCHP(t) predicting the generated output of a cogeneration unit for a period of time in the future
And thermal output
S22, calculating the heat demand of the user i:
in the formula, Tset，iReference temperature, T, set for user iin，iIndoor air temperature, T, for user ioutIs the outdoor air temperature, hi，h(t-ΔT)、hi，e(T-. DELTA.T) and hi，ts(T-delta T) is respectively the heating power of the hot water type heating heat exchanger, the heating power of the heat pump and the heating power of the tail end energy storage device;
the total heat demand of the user is as follows:
Q(t)＝∑Qi(t) (3) 。
8. the method according to claim 7, wherein the step S3 specifically includes the steps of:
establishing a dispatching model by taking the minimum difference value of the wind power generation output before and after regulation as a target, and acquiring each variable as a regulation signal;
the objective function is:
in the formula, ppv(t) is the adjusted wind power generation output,
generating output for the target wind power;
in the formula, pCHP(t) adjusting the power generation output of the cogeneration unit; p is a radical ofEHP(t) is the sum of the heat pump power consumption of N users i at the moment t;
predicting the total output of the wind generating set in a future period of time;
constraint conditions are as follows:
① Heat Pump constraints:
EERi＝hi，e(t)/pi，e(t) (6)
in the formula, EERiThe heat pump heating energy efficiency ratio h of the user ii，e(t) is the heat pump heating power of the user i at the moment t; p is a radical ofi，e(t) is the heat pump electric power of user i at time t;
the sum of the heat pump power consumptions of the users at the moment t is as follows:
PEHP(t)＝∑pi，e(t) (7)
② heat supply balance condition
The total heat demand of the heat consumer is the total heat supply:
in the formula, HTS(t) the output of the source end energy storage device;
the demand of each heat consumer is the sum of the heat supply of each end:
wherein,
a switching signal of the electric heat pump of the user at the time i,
for the maximum heating power of the i users,
maximum heating power of heating heat exchanger for i-user
A switching signal of a user heating heat exchanger at time i;
③ Cogeneration set constraints:
lower limit of power generation output:
lower limit of power generation output:
and (3) limiting the generated output:
combined heat and power generation heat and power ratio constraint:
hCHP(t)＝RDB·pCHP(t) (13)
in the formula, PCHPFor combined heat and power unitsAn amount;
the minimum generated output of the adjusted cogeneration unit is obtained; p is a radical ofCHP(t) adjusting the power generation output of the cogeneration unit;
for adjusting the maximum power output of the combined heat and power generation unit, RDB is the heat-power ratio of the combined heat and power generation unit, ηCHP(t) efficiency of the cogeneration unit; h isCHP(t) the thermal output of the cogeneration unit; f. ofCHP(t) is the combined heat and power consumption;
④ heat source energy storage device constraint condition:
maximum power limit:
capacity limitation of the energy storage device:
⑤ end energy storage device constraint condition:
maximum power limit:
capacity limitation of the energy storage device:
9. the method of claim 8, wherein the step S4 includes:
generating output p of cogeneration unitCHP(t) and Heat output hCHP(t) source energy storage device outForce HTS(t), user's on-off state
And
end energy storage device storing and discharging power hi，ts(t), electric power consumption h of the Heat Pumpi，eAnd (t) sending the power to a controller, and controlling and adjusting the generated output and the hot water flow of the cogeneration unit, a hot water heating radiator switch, a user heat pump switch and a tail end energy storage device in a future period by the controller.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911244900.XA CN110991911A (en) | 2019-12-06 | 2019-12-06 | User load specificity-oriented thermoelectric cooperative scheduling system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911244900.XA CN110991911A (en) | 2019-12-06 | 2019-12-06 | User load specificity-oriented thermoelectric cooperative scheduling system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110991911A true CN110991911A (en) | 2020-04-10 |
Family
ID=70091026
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911244900.XA Pending CN110991911A (en) | 2019-12-06 | 2019-12-06 | User load specificity-oriented thermoelectric cooperative scheduling system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110991911A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102437645A (en) * | 2011-10-23 | 2012-05-02 | 西安交通大学 | Wind power output scheduling system and method for combined control of cogeneration and heating load |
| US20130270353A1 (en) * | 2011-10-23 | 2013-10-17 | Hongyu LONG | Joint heating system of gas combined cycle and solar power and dispatching method thereof |
| CN108062025A (en) * | 2017-12-15 | 2018-05-22 | 西南大学 | Electric, hot coordination scheduling system and its method based on the non-uniform properties of terminal thermic load |
| CN108131722A (en) * | 2017-12-15 | 2018-06-08 | 西南大学 | A kind of terminal user's refrigeration behavior towards peak load regulation network adaptively regulates and controls |
| CN208075106U (en) * | 2017-12-26 | 2018-11-09 | 西南大学 | Thermic load uniformity measurement analysis towards peak load regulation network and regulator control system |
-
2019
- 2019-12-06 CN CN201911244900.XA patent/CN110991911A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102437645A (en) * | 2011-10-23 | 2012-05-02 | 西安交通大学 | Wind power output scheduling system and method for combined control of cogeneration and heating load |
| US20130270353A1 (en) * | 2011-10-23 | 2013-10-17 | Hongyu LONG | Joint heating system of gas combined cycle and solar power and dispatching method thereof |
| CN108062025A (en) * | 2017-12-15 | 2018-05-22 | 西南大学 | Electric, hot coordination scheduling system and its method based on the non-uniform properties of terminal thermic load |
| CN108131722A (en) * | 2017-12-15 | 2018-06-08 | 西南大学 | A kind of terminal user's refrigeration behavior towards peak load regulation network adaptively regulates and controls |
| CN208075106U (en) * | 2017-12-26 | 2018-11-09 | 西南大学 | Thermic load uniformity measurement analysis towards peak load regulation network and regulator control system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109063925B (en) | Optimized operation method for regional comprehensive energy system considering load aggregators | |
| CN102591276B (en) | Intelligent electric meter system for residents for intelligent smart grid | |
| EP2420745A2 (en) | Heat pump heating system | |
| EP2420747A2 (en) | Heat pump | |
| EP2494736B1 (en) | Method of controlling network system | |
| CN103363585A (en) | Regulating method of center heating system in urban area | |
| CN102967004A (en) | Temperature area method based heat metering allocation device and allocation method | |
| CN106127337A (en) | Unit Combination method based on the modeling of convertible frequency air-conditioner virtual robot arm | |
| CN111351123B (en) | Electrified multifunctional heating system and method based on network load interaction | |
| CN110896224A (en) | Thermoelectric cooperative scheduling system and method considering user difference and building thermal inertia | |
| CN101604160A (en) | Large area heat supply running automatic monitoring system device | |
| CN105928052A (en) | Water outlet temperature control method of heating heat pump unit | |
| CN108131722A (en) | A kind of terminal user's refrigeration behavior towards peak load regulation network adaptively regulates and controls | |
| JP2001296904A (en) | Energy control system | |
| KR101811426B1 (en) | Integrated power management system using solar photovoltaic | |
| CN110474370B (en) | Cooperative control system and method for air conditioner controllable load and photovoltaic energy storage system | |
| CN112413702B (en) | Method and system for matching heat accumulating type electric heating load with distribution network area | |
| CN115857348A (en) | Distributed energy system capacity optimization method considering comfortable energy supply of two-combined heat pump | |
| CN108062025B (en) | Electricity and heat cooperative scheduling system and method based on non-uniform characteristic of terminal heat load | |
| KR20130074045A (en) | A control method for controlling energy of building based ob microgrid and system for same | |
| CN112737122A (en) | Power grid peak regulation control system and method based on multi-energy complementation | |
| CN210801358U (en) | New energy consumption heating system using electricity price lever | |
| Lu et al. | The potential of thermostatically controlled appliances for intra-hour energy storage applications | |
| CN112856571B (en) | Combined heating system with complementation of electric heating and hot water heating and regulation and control method | |
| CN110991911A (en) | User load specificity-oriented thermoelectric cooperative scheduling system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200410 |