[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN102723785A - Electric power load prediction method and electric power load prediction system based on collection of larger user intelligent terminal - Google Patents

Electric power load prediction method and electric power load prediction system based on collection of larger user intelligent terminal Download PDF

Info

Publication number
CN102723785A
CN102723785A CN2012102289661A CN201210228966A CN102723785A CN 102723785 A CN102723785 A CN 102723785A CN 2012102289661 A CN2012102289661 A CN 2012102289661A CN 201210228966 A CN201210228966 A CN 201210228966A CN 102723785 A CN102723785 A CN 102723785A
Authority
CN
China
Prior art keywords
load
user
power
intelligent terminal
information
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.)
Granted
Application number
CN2012102289661A
Other languages
Chinese (zh)
Other versions
CN102723785B (en
Inventor
曾瑞江
余南华
陈炯聪
黄曙
杨占杰
李传健
黄嘉健
周克林
张晓平
陈辉
郑文杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Electric Power Research Institute of Guangdong Power Grid Co Ltd
Original Assignee
Electric Power Research Institute of Guangdong Power Grid Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Electric Power Research Institute of Guangdong Power Grid Co Ltd filed Critical Electric Power Research Institute of Guangdong Power Grid Co Ltd
Priority to CN201210228966.1A priority Critical patent/CN102723785B/en
Publication of CN102723785A publication Critical patent/CN102723785A/en
Application granted granted Critical
Publication of CN102723785B publication Critical patent/CN102723785B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20End-user application control systems
    • Y04S20/242Home appliances

Landscapes

  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an electric power load prediction method and an electric power load prediction system based on the collection of a large user intelligent terminal. The method comprises the steps of collecting real-time distributed power generation and user power consumption information; establishing a power consumption analysis model according to the power generation, the power consumption information and user historical power consumption information, and acquiring a controllable load list and a load control sequence of the user; and predicting the distributed power generation and the power consumption of the load according to the controllable load list and the load control sequence. The method and the system can help power supply companies to establish a distributed power generation plan and enterprise users to establish a power consumption plan, main reference can be provided for the establishment of the load control plan of the power supply companies, a power distribution dispatching center can precisely predict the distributed power generation and the power consumption of the load according to the information, and strategies and evidences for optimizing the scheduling can be provided for a power distribution network.

Description

Load forecast method and system based on the collection of large user's intelligent terminal
Technical field
The present invention relates to the electric power load monitoring and control technology, particularly relate to the load forecast method and system of gathering based on large user's intelligent terminal.
Background technology
The total load of electric power system is exactly the summation that all power consumption equipments consume gross power in the system; With industry, agricultural, post and telecommunications, traffic, municipal administration, commerce and power addition that urban and rural residents consumed, comprehensive power load that must electric power system; The power that comprehensive power load adds the network loss is exactly the power that each power plant should be supplied in the system, is called the supply load (amount of power supply) of electric power system; Supply load adds the power (being the station-service electric weight) that each power plant itself consumes again, is exactly the power that each generator should be sent out in the system, is called the generation load (energy output) of system.
Current domestic load management for the enterprise customer is to realize the real-time monitoring to large user's power load through negative control and management system, also possesses (most cases) implemented long-range power cuts to limit consumption to the large user function simultaneously basically.Yet; During the peak regulation in every year; All be through load limit, the administrative classification isotype work of avoiding the peak hour of rationing the power supply, can't be through the need for electricity of user side itself urgent degree, electricity consumption economic benefit wait and carry out scientific and reasonable load prediction and peak regulation work.
Summary of the invention
Based on this; Be necessary to the problems referred to above; The load forecast method and system of gathering based on large user's intelligent terminal is provided; Can participate in through the user, with the monitor and predict of the synthetic load of Utilities Electric Co.'s two-way interaction, realize rational utilization of electricity, science electricity consumption, avoid the electricity consumption excess load and the problem that breaks down.
A kind of load forecast method of gathering based on large user's intelligent terminal comprises:
Gather real-time distributed power generation amount and user power utilization information;
According to the historical power information of said energy output, said power information and user, set up the electrical energy consumption analysis model, obtain this user's controllable burden inventory and load control sequence;
Carry out the prediction of distributed power generation amount and the prediction of load power consumption according to said control load inventory, said load control sequence.
Correspondingly, a kind of load forecast system of gathering based on large user's intelligent terminal comprises large user's intelligent terminal and coupled control centre's distribution system, wherein,
Said large user's intelligent terminal comprises information acquisition unit, is used to gather real-time distributed power generation amount and user power utilization information; The customer charge acquiring unit that links to each other with said information collecting device is used for the historical power information according to said energy output, said power information and user, sets up the electrical energy consumption analysis model, obtains this user's controllable burden inventory and load control sequence;
Said control centre distribution system comprises the user's distribution predicting unit that links to each other with said customer charge acquiring unit, is used for carrying out the prediction of distributed power generation amount and the prediction of load power consumption according to said control load inventory, said load control sequence.
Embodiment of the present invention has following beneficial effect:
The present invention accurately grasps the enterprises controllable burden through to monitoring and the data analysis in real time of enterprises power information, carries out precisely control of load.The real-time distributed generating and the user power utilization information of gathering according to intelligent terminal; Combine the historical power information of enterprise and other basic data again; Carry out information analysis and computing, dynamically produce enterprise's controllable burden inventory, load control sequence etc. based on model; Formulate distributed power generation plan and user power utilization plan; For Utilities Electric Co.'s load control plan formulation provides main reference, the distribution control centre carries out the distributed power generation amount and the accurately predicting of the power consumption of loading according to these information, and the strategy and the foundation of optimized dispatching is provided for power distribution network.
Description of drawings
Fig. 1 is the flow chart that the present invention is based on the load forecast method of large user's intelligent terminal collection;
Fig. 2 is the embodiment flow chart that the present invention is based on the load forecast method of large user's intelligent terminal collection;
Fig. 3 is the structural representation that the present invention is based on the load forecast system of large user's intelligent terminal collection;
Fig. 4 the present invention is based on the load forecast system implementation example structural representation that large user's intelligent terminal is gathered.
Embodiment
For making the object of the invention, technical scheme and advantage clearer, will combine accompanying drawing that the present invention is done to describe in detail further below.
Fig. 1 is the flow chart that the present invention is based on the load forecast method of large user's intelligent terminal collection, comprising:
S101: gather real-time distributed power generation amount and user power utilization information;
S102: according to the historical power information of said energy output, said power information and user, set up the electrical energy consumption analysis model, obtain this user's controllable burden inventory and load control sequence;
S103: carry out the prediction of distributed power generation amount and the prediction of load power consumption according to said control load inventory, said load control sequence.
Large user's intelligent terminal of the present invention has abundant interface, can with being connected of power consumption equipment, intelligent electric meter, intelligent measuring equipment, distributed energy, Intranet and wide area network, gather real-time distributed power generation amount and user power utilization information.Realization helps further to realize the control to user's intelligent electric meter, distributed energy, power consumption equipment to power information collection, the storage of the various power consumption equipments of user.
Through to monitoring and the data analysis in real time of user's enterprises power information, accurately grasp the inner controllable burden of enterprise customer, carry out precisely control of load.The real-time distributed generating and the user power utilization information of being gathered according to large user's intelligent terminal; In conjunction with the historical power information of user enterprise and other basic data; Carry out information analysis and computing based on model; Dynamically produce the controllable burden inventory of user enterprise, load control sequence etc. are for Utilities Electric Co.'s load control plan formulation provides main reference; The distribution control centre carries out the distributed power generation amount and the accurately predicting of the power consumption of loading according to these information, and the strategy and the foundation of optimized dispatching is provided for power distribution network.
Can also realize the interaction of user enterprise and Utilities Electric Co. through large user's intelligent terminal, and mutual with intelligent grid.Can customized production plan in large user's intelligent terminal (comprising information such as the following usage quantity of input power consumption equipment, electric power, load nature of electricity consumed, service time) such as: user enterprise; The user power utilization information of production schedule that user enterprise makes a report on etc. can be gathered by system; In conjunction with history and real time data, carry out load prediction more accurately.Utilities Electric Co. also can own power supply plan with oneself send to the user through large user's intelligent terminal, and user enterprise can produce according to the power supply plan tissue of Utilities Electric Co..
According to the historical power information of said energy output, said power information and user, set up the electrical energy consumption analysis model, obtain the energy charge prediction.Said energy charge prediction comprises the prediction of distributed power generation amount and the prediction of load power consumption.Wherein, the prediction of said distributed power generation amount comprises: distributed energy energy output, quality of power supply real-time information collection and analysis, quality of power supply prediction; The prediction of said load power consumption comprises: electric weight, quality of power supply real-time information collection and analysis, quality of power supply prediction.Further, according to the span of time, can also further be subdivided into: the 1 hour energy output and the electricity demand forecasting of loading; Day energy output and load electricity demand forecasting; All energy output and load electricity demand forecasting; Month energy output and load electricity demand forecasting; Annual energy output and load electricity demand forecasting etc.
Fig. 2 is the embodiment flow chart that the present invention is based on the load forecast method of large user's intelligent terminal collection.Compared to Figure 1, Fig. 2 is the flow chart of specific embodiment.
S201: gather real-time distributed power generation amount and user power utilization information;
S202: according to the historical power information of said energy output, said power information and user, set up the electrical energy consumption analysis model, obtain this user's controllable burden inventory and load control sequence;
S203: carry out the prediction of distributed power generation amount and the prediction of load power consumption according to said control load inventory, said load control sequence;
S204: obtain this user's internal load balance scheme, this scheme comprises the balance electricity consumption quota between each workshop, the production equipment;
S205: the power consumption to the power consumption equipment of user inside is monitored.
Step S201 is identical to step S103 with above-mentioned steps S101 to step S203, repeats no more at this.What need supplementary notes is, dynamically produces the controllable burden inventory of user enterprise, after the load control sequence, can formulate distributed power generation plan and user power utilization plan in view of the above, obtains this user's internal load balance scheme.Particularly, this scheme comprises balance electricity consumption quota between each workshop, the production equipment etc.
The present invention is to the enterprise customer, through large user's intelligent terminal and electricity consumption collecting device, usefulness ability acquisition terminal, transducer and corresponding watch-dog, the communication network of the main station system of foundation and control centre.The enterprises communication network can adopt wireless and wired two kinds of connected modes according to enterprises characteristics and actual environment.
Through large user's intelligent terminal and management and monitoring main website, set up communication network between the center at the large user of enterprise intelligent terminal and negative keyholed back plate reason information system, auxiliary tone; Between electric company, enterprise customer, set up a data channel based on ICP/IP protocol.Network layer adopts multiple communication mode, is mainly optical fiber communication, also can be by the Internet, and when internet usage inserted, data access was carried out with mutual in the actual outer barrier that is linked into electric company's side network of user under the protection of strong spacer assembly.
The real-time distributed generating and the user power utilization information of being gathered according to large user's intelligent terminal and garden intelligent terminal; In conjunction with the historical power information of enterprise and other basic data; Carry out information analysis and computing, dynamically produce enterprise's controllable burden inventory, load control sequence etc. based on model; Formulate distributed power generation plan and user power utilization plan; For Utilities Electric Co.'s load control plan formulation provides main reference, the distribution control centre carries out the distributed power generation amount and the accurately predicting of the power consumption of loading according to these information, and the strategy and the foundation of optimized dispatching is provided for power distribution network.Utilities Electric Co. precisely controls through the load to the user; Avoid no plan power cuts to limit consumption; Guarantee that electric power netting safe running and supply order are stable; Improve the client electricity consumption level, improve the quality of power supply and grid equipment utilance, adverse effect seasonal, that period imbalance between power supply and demand brings for society and enterprise is reduced to minimum level.
Aspect accurate load management and control, the distribution control centre can monitor and analyze the enterprises load through the grasp to the business electrical customized information, realizes the supervision to enterprises load balancing implementation of the plan.Simultaneously electric company also can combine policy excitation enterprise such as national time-of-use tariffs to carry out initiatively demand response, and effectively the electricity needs in the integration management district power supply area improves regional load balancing ability.
Management organization can exercise supervision to enterprises load balancing implementation of the plan.Obtain the enterprises optimum load balance scheme that system generates automatically, comprise the balanced combination scheme between each workshop of enterprises, the production equipment operation.Based on this scheme, it is collaborative that electric company and enterprise carry out interaction, confirms execution level enterprise load balancing scheme, plan.Under scheme instructs, realize the tranquilization of enterprise's load curve, realize disappearing peak load, improve the electric energy service efficiency.
Each enterprises load reaches under the EQUILIBRIUM CONDITION in directorial area; The analysis according to each business electrical situation, production law, part throttle characteristics, load balancing scheme in the garden is followed by management organization; Generation is the load balancing plan of unit with the directorial area, and accomplishing with the directorial area is the peak load shifting of unit.When arriving on the supply load peak, electric company in conjunction with enterprise's controllable burden, assigns the load control plan to enterprise, and the implementation status of enterprise is assessed and added up according to the ordered electric scheme of formulating.
In sum, the advantage of large user's intelligent terminal of the present invention comprises:
1) data acquisition, storage, management;
2) power consumption equipment power information monitoring;
3) distributed power source monitoring: comprise that photovoltaic generation monitoring, wind power generation monitoring, energy-storage system monitoring, electric automobile discharge and recharge monitoring etc.;
4) interactive service: comprise information customization and issue, electricity charge service, online service, other information etc.;
5) load prediction: comprise power consumption equipment load prediction, distributed power source generating prediction, electric power customization etc.;
6) efficiency management: comprise efficiency analysis, electricity consumption analysis of strategies, energy exception monitoring and alarm, electricity price response plan, load balancing etc.
Fig. 3 is the structural representation that the present invention is based on the load forecast system of large user's intelligent terminal collection, comprises large user's intelligent terminal and coupled control centre's distribution system, wherein,
Said large user's intelligent terminal comprises information acquisition unit, is used to gather real-time distributed power generation amount and user power utilization information; The customer charge acquiring unit that links to each other with said information collecting device is used for the historical power information according to said energy output, said power information and user, sets up the electrical energy consumption analysis model, obtains this user's controllable burden inventory and load control sequence;
Said control centre distribution system comprises the user's distribution predicting unit that links to each other with said customer charge acquiring unit, is used for carrying out the prediction of distributed power generation amount and the prediction of load power consumption according to said control load inventory, said load control sequence.
Fig. 3 is corresponding with Fig. 1, identical among the figure in the operational mode of each unit and the method.
What need supplementary notes is that said intelligent terminal adopts the intel high-performance processor, supports floating-point operation; More than the internal memory 2G, more than the hard disk 500G, adopt 17 cun liquid crystal display screens; Use the single-point touches screen, Dual-Ethernet is supported in integrated design; Take the intranet and extranet isolation method, support 3 road RS-485/232 to insert built-in camera, microphone and stereo loudspeaker; Support 4 road USB interfaces, internal battery keeps system clock and when outage, can in time store significant data, and the EMC4 level is anti-interference, the IP65 degree of protection.
Fig. 4 the present invention is based on the load forecast system implementation example structural representation that large user's intelligent terminal is gathered.
As shown in Figure 4, said control centre distribution system also comprises:
With the scheme of electric power acquiring unit that said user's distribution predicting unit links to each other, be used to obtain this user's internal load balance scheme, this scheme comprises the balance electricity consumption quota between each workshop, the production equipment.
As shown in Figure 4, said large user's intelligent terminal also comprises:
With the information monitoring unit that said scheme of electric power acquiring unit links to each other, be used for the power consumption of the power consumption equipment of user inside is monitored.
Fig. 4 is corresponding with Fig. 2, identical among the figure in the operational mode of each unit and the method.
The above embodiment has only expressed several kinds of execution modes of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to claim of the present invention.Should be pointed out that for the person of ordinary skill of the art under the prerequisite that does not break away from the present invention's design, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with accompanying claims.

Claims (6)

1. a load forecast method of gathering based on large user's intelligent terminal is characterized in that, comprising:
Gather real-time distributed power generation amount and user power utilization information;
According to the historical power information of said energy output, said power information and user, set up the electrical energy consumption analysis model, obtain this user's controllable burden inventory and load control sequence;
Carry out the prediction of distributed power generation amount and the prediction of load power consumption according to said control load inventory, said load control sequence.
2. load forecast method of gathering according to claim 1 based on large user's intelligent terminal; It is characterized in that; Carry out according to said control load inventory, said load control sequence comprising after the step of prediction of prediction and load power consumption of distributed power generation amount:
Obtain this user's internal load balance scheme, this scheme comprises the balance electricity consumption quota between each workshop, the production equipment.
3. load forecast method of gathering based on large user's intelligent terminal according to claim 2 is characterized in that, obtains after this user's the step of internal load balance scheme, comprising:
Power consumption to the power consumption equipment of user inside is monitored.
4. a load forecast system of gathering based on large user's intelligent terminal comprises large user's intelligent terminal and coupled control centre's distribution system, it is characterized in that, wherein,
Said large user's intelligent terminal comprises information acquisition unit, is used to gather real-time distributed power generation amount and user power utilization information; The customer charge acquiring unit that links to each other with said information collecting device is used for the historical power information according to said energy output, said power information and user, sets up the electrical energy consumption analysis model, obtains this user's controllable burden inventory and load control sequence;
Said control centre distribution system comprises the user's distribution predicting unit that links to each other with said customer charge acquiring unit, is used for carrying out the prediction of distributed power generation amount and the prediction of load power consumption according to said control load inventory, said load control sequence.
5. load forecast system of gathering based on large user's intelligent terminal according to claim 4 is characterized in that said control centre distribution system also comprises:
With the scheme of electric power acquiring unit that said user's distribution predicting unit links to each other, be used to obtain this user's internal load balance scheme, this scheme comprises the balance electricity consumption quota between each workshop, the production equipment.
6. load forecast system of gathering based on large user's intelligent terminal according to claim 5 is characterized in that said large user's intelligent terminal also comprises:
With the information monitoring unit that said scheme of electric power acquiring unit links to each other, be used for the power consumption of the power consumption equipment of user inside is monitored.
CN201210228966.1A 2012-07-03 2012-07-03 The Methods of electric load forecasting gathered based on large user's intelligent terminal and system Active CN102723785B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210228966.1A CN102723785B (en) 2012-07-03 2012-07-03 The Methods of electric load forecasting gathered based on large user's intelligent terminal and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210228966.1A CN102723785B (en) 2012-07-03 2012-07-03 The Methods of electric load forecasting gathered based on large user's intelligent terminal and system

Publications (2)

Publication Number Publication Date
CN102723785A true CN102723785A (en) 2012-10-10
CN102723785B CN102723785B (en) 2015-10-21

Family

ID=46949482

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210228966.1A Active CN102723785B (en) 2012-07-03 2012-07-03 The Methods of electric load forecasting gathered based on large user's intelligent terminal and system

Country Status (1)

Country Link
CN (1) CN102723785B (en)

Cited By (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102903035A (en) * 2012-10-19 2013-01-30 华北电力大学 Energy-saving power generation dispatching system based on smart power grid and dispatching method thereof
CN102969720A (en) * 2012-11-01 2013-03-13 北京交通大学 Load dynamic control and analysis method capable of being applied in smart power grids
CN103248042A (en) * 2013-04-27 2013-08-14 国家电网公司 Peak shifting and avoiding method for electric management system
CN103971204A (en) * 2014-05-09 2014-08-06 中国联合网络通信集团有限公司 Enterprise power dispatching and distributing method and system and virtual power storage station system
CN103997044A (en) * 2014-05-29 2014-08-20 中冶京诚工程技术有限公司 Power load control method and system
CN104184214A (en) * 2014-09-12 2014-12-03 四川省科本哈根能源科技有限公司 Monitoring method for building electrical loads
CN104184145A (en) * 2014-09-12 2014-12-03 四川省科本哈根能源科技有限公司 Intelligent power distribution system for building
CN104239670A (en) * 2014-03-06 2014-12-24 国家电网公司 Automatic demand response control method based on resources and time constraints
CN104269940A (en) * 2014-10-29 2015-01-07 四川慧盈科技有限责任公司 Building air conditioning equipment load monitoring system
CN104682391A (en) * 2015-03-19 2015-06-03 国网上海市电力公司 Extra-high voltage alternating current and direct current hybrid cross-grid power transmission system and method
CN105048457A (en) * 2015-08-18 2015-11-11 济南大陆机电股份有限公司 Electric energy management system of intelligent microgrid
CN105260803A (en) * 2015-11-06 2016-01-20 国家电网公司 Power consumption prediction method for system
CN106159998A (en) * 2016-07-18 2016-11-23 南京中节涛创能源科技有限公司 Regenerative resource micro-capacitance sensor Optimal Scheduling
CN106682763A (en) * 2016-11-25 2017-05-17 云南电网有限责任公司昆明供电局 Power load optimization and prediction method for massive sample data
CN106789563A (en) * 2016-12-02 2017-05-31 国网山东省电力公司武城县供电公司 Electricity consumption business prompting method and device
CN106786789A (en) * 2016-11-18 2017-05-31 国网江苏省电力公司涟水县供电公司 Microgrid generated energy real-time control system and method
CN107528347A (en) * 2017-08-29 2017-12-29 上海交通大学 A kind of power demand side's management system and method for high permeability intermittent new energy access power distribution network
WO2018227707A1 (en) * 2017-06-16 2018-12-20 深圳市盛路物联通讯技术有限公司 Power adjustment method and device
CN109683483A (en) * 2018-11-23 2019-04-26 国网辽宁省电力有限公司电力科学研究院 A kind of electric heating optimization operation control system based on smart home
WO2019097546A1 (en) * 2017-11-18 2019-05-23 Playsolar Systems Private Limited System and method for predicting energy utilization and load consumption of home, agricultural and industrial appliances
CN110138082A (en) * 2019-05-15 2019-08-16 国网江苏省电力有限公司常州供电分公司 Power distribution control method and power distribution control system
CN110310046A (en) * 2019-07-09 2019-10-08 珠海格力电器股份有限公司 Power supply method, equipment, device, system and computer readable storage medium
CN112072635A (en) * 2019-06-11 2020-12-11 上海芯联芯智能科技有限公司 Intelligent power supply and utilization system and method and intelligent power utilization system
CN112257913A (en) * 2020-10-16 2021-01-22 广东电网有限责任公司 Medium-voltage line load value prediction method, device, equipment and storage medium
CN113159496A (en) * 2021-02-23 2021-07-23 广东电网有限责任公司 Non-industrial electrical appliance scheduling method and system based on platform area electrical load
CN113762225A (en) * 2021-11-09 2021-12-07 博兴兴业精细化工产业发展有限公司 Automatic monitoring alarm system for chemical workshop
CN115276007A (en) * 2022-09-27 2022-11-01 江苏永鼎股份有限公司 Digital power integration visual scheduling management method and system
CN116090679A (en) * 2023-04-12 2023-05-09 国网山东省电力公司利津县供电公司 Power distribution network load prediction method
CN116316635A (en) * 2023-03-16 2023-06-23 国网信通亿力科技有限责任公司 Electric power cooperative control method and system based on measurement information

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101895115A (en) * 2010-06-30 2010-11-24 周锡卫 Method for constructing distributed power supply smart grid with hierarchy structure
JP2011101539A (en) * 2009-11-06 2011-05-19 Panasonic Electric Works Co Ltd Power distribution system
CN102280935A (en) * 2011-06-24 2011-12-14 中国科学院电工研究所 Intelligent power grid management system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011101539A (en) * 2009-11-06 2011-05-19 Panasonic Electric Works Co Ltd Power distribution system
CN101895115A (en) * 2010-06-30 2010-11-24 周锡卫 Method for constructing distributed power supply smart grid with hierarchy structure
CN102280935A (en) * 2011-06-24 2011-12-14 中国科学院电工研究所 Intelligent power grid management system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
陈辉等: "探讨智能用电技术的应用", 《广东电力》 *

Cited By (45)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102903035A (en) * 2012-10-19 2013-01-30 华北电力大学 Energy-saving power generation dispatching system based on smart power grid and dispatching method thereof
CN102903035B (en) * 2012-10-19 2016-02-24 华北电力大学 Based on energy-saving power generation dispatching system and the dispatching method thereof of intelligent grid
CN102969720B (en) * 2012-11-01 2016-01-20 北京交通大学 A kind of load Dynamic controlling that can apply in intelligent grid and analytical method
CN102969720A (en) * 2012-11-01 2013-03-13 北京交通大学 Load dynamic control and analysis method capable of being applied in smart power grids
CN103248042A (en) * 2013-04-27 2013-08-14 国家电网公司 Peak shifting and avoiding method for electric management system
CN104239670A (en) * 2014-03-06 2014-12-24 国家电网公司 Automatic demand response control method based on resources and time constraints
CN103971204A (en) * 2014-05-09 2014-08-06 中国联合网络通信集团有限公司 Enterprise power dispatching and distributing method and system and virtual power storage station system
CN103997044A (en) * 2014-05-29 2014-08-20 中冶京诚工程技术有限公司 Power load control method and system
CN104184214A (en) * 2014-09-12 2014-12-03 四川省科本哈根能源科技有限公司 Monitoring method for building electrical loads
CN104184145A (en) * 2014-09-12 2014-12-03 四川省科本哈根能源科技有限公司 Intelligent power distribution system for building
CN104184214B (en) * 2014-09-12 2016-05-18 四川省科本哈根能源科技有限公司 A kind of building power load method for supervising
CN104184145B (en) * 2014-09-12 2015-12-09 四川省科本哈根能源科技有限公司 A kind of building intelligent distribution system
CN104269940B (en) * 2014-10-29 2016-03-02 四川慧盈科技有限责任公司 A kind of building air-conditioner machine utilization supervisory control system
CN104269940A (en) * 2014-10-29 2015-01-07 四川慧盈科技有限责任公司 Building air conditioning equipment load monitoring system
CN104682391A (en) * 2015-03-19 2015-06-03 国网上海市电力公司 Extra-high voltage alternating current and direct current hybrid cross-grid power transmission system and method
CN104682391B (en) * 2015-03-19 2016-11-09 国网上海市电力公司 Across the grid power transmission system and method for a kind of extra-high voltage alternating current-direct current mixing
CN105048457A (en) * 2015-08-18 2015-11-11 济南大陆机电股份有限公司 Electric energy management system of intelligent microgrid
CN105260803A (en) * 2015-11-06 2016-01-20 国家电网公司 Power consumption prediction method for system
CN105260803B (en) * 2015-11-06 2019-04-19 国家电网公司 A kind of system power consumption prediction technique
CN106159998A (en) * 2016-07-18 2016-11-23 南京中节涛创能源科技有限公司 Regenerative resource micro-capacitance sensor Optimal Scheduling
CN106786789B (en) * 2016-11-18 2019-05-07 国网江苏省电力公司涟水县供电公司 Microgrid generated energy real-time control system and method
CN106786789A (en) * 2016-11-18 2017-05-31 国网江苏省电力公司涟水县供电公司 Microgrid generated energy real-time control system and method
CN106682763B (en) * 2016-11-25 2020-12-29 云南电网有限责任公司昆明供电局 Power load optimization prediction method for large amount of sample data
CN106682763A (en) * 2016-11-25 2017-05-17 云南电网有限责任公司昆明供电局 Power load optimization and prediction method for massive sample data
CN106789563A (en) * 2016-12-02 2017-05-31 国网山东省电力公司武城县供电公司 Electricity consumption business prompting method and device
CN106789563B (en) * 2016-12-02 2019-10-08 国网山东省电力公司武城县供电公司 Electricity consumption business prompting method and device
WO2018227707A1 (en) * 2017-06-16 2018-12-20 深圳市盛路物联通讯技术有限公司 Power adjustment method and device
CN107528347B (en) * 2017-08-29 2020-12-08 上海交通大学 High-permeability intermittent new energy access power distribution network demand side management system and method
CN107528347A (en) * 2017-08-29 2017-12-29 上海交通大学 A kind of power demand side's management system and method for high permeability intermittent new energy access power distribution network
WO2019097546A1 (en) * 2017-11-18 2019-05-23 Playsolar Systems Private Limited System and method for predicting energy utilization and load consumption of home, agricultural and industrial appliances
CN109683483B (en) * 2018-11-23 2022-05-31 国网辽宁省电力有限公司电力科学研究院 Electric heating optimization operation control system based on smart home
CN109683483A (en) * 2018-11-23 2019-04-26 国网辽宁省电力有限公司电力科学研究院 A kind of electric heating optimization operation control system based on smart home
CN110138082A (en) * 2019-05-15 2019-08-16 国网江苏省电力有限公司常州供电分公司 Power distribution control method and power distribution control system
CN110138082B (en) * 2019-05-15 2022-08-30 国网江苏省电力有限公司常州供电分公司 Power distribution control method and power distribution control system
CN112072635A (en) * 2019-06-11 2020-12-11 上海芯联芯智能科技有限公司 Intelligent power supply and utilization system and method and intelligent power utilization system
CN110310046B (en) * 2019-07-09 2021-02-09 珠海格力电器股份有限公司 Power supply method, equipment, device, system and computer readable storage medium
CN110310046A (en) * 2019-07-09 2019-10-08 珠海格力电器股份有限公司 Power supply method, equipment, device, system and computer readable storage medium
CN112257913A (en) * 2020-10-16 2021-01-22 广东电网有限责任公司 Medium-voltage line load value prediction method, device, equipment and storage medium
CN113159496B (en) * 2021-02-23 2023-01-20 广东电网有限责任公司 Non-industrial electrical appliance scheduling method and system based on platform area electrical load
CN113159496A (en) * 2021-02-23 2021-07-23 广东电网有限责任公司 Non-industrial electrical appliance scheduling method and system based on platform area electrical load
CN113762225A (en) * 2021-11-09 2021-12-07 博兴兴业精细化工产业发展有限公司 Automatic monitoring alarm system for chemical workshop
CN115276007A (en) * 2022-09-27 2022-11-01 江苏永鼎股份有限公司 Digital power integration visual scheduling management method and system
CN116316635A (en) * 2023-03-16 2023-06-23 国网信通亿力科技有限责任公司 Electric power cooperative control method and system based on measurement information
CN116316635B (en) * 2023-03-16 2024-01-30 国网信通亿力科技有限责任公司 Electric power cooperative control method and system based on measurement information
CN116090679A (en) * 2023-04-12 2023-05-09 国网山东省电力公司利津县供电公司 Power distribution network load prediction method

Also Published As

Publication number Publication date
CN102723785B (en) 2015-10-21

Similar Documents

Publication Publication Date Title
CN102723785B (en) The Methods of electric load forecasting gathered based on large user's intelligent terminal and system
CN101944772B (en) Multi-network integrated intelligent power grid system
CN100501794C (en) Online visualized energy consumption audit management system
CN102684305A (en) Method and terminal for realizing household-side intelligent power consumption policy
CN102299555B (en) Electric energy management system in administrative district
CN102509162A (en) Intelligent resident electricity utilization management method and management system
CN104216358B (en) A kind of Intelligent Community based on two-stage energy management low-carbon energy management system
CN102999975A (en) Intelligent power consumption payment management system
KR20130067678A (en) Micro-grid simulation apparatus and power management system
CN109038678A (en) Garden distributed energy intelligence managing and control system based on big data
Ma et al. Investigation of smart home energy management system for demand response application
CN202907195U (en) Communication base station energy consumption management system
CN104201780A (en) Load data collecting, transmitting and analyzing device used for rural power distribution area
Bragatto et al. Innovative tools for demand response strategies: a real-life experience
CN201717676U (en) Administrative territory electric energy management system
CN102299553B (en) Electricity service effect support system
CN202737585U (en) Energy management system
CN204190487U (en) For the load data collect and transmit analytical equipment in rural power dispensing table district
CN201690276U (en) Multi-network convergent intelligent grid system
Pei et al. Optimal operation of microgrid with photovoltaics and gas turbines in demand response
CN108399728B (en) Energy supply data acquisition system and method for communities
CN102930404A (en) Very important person (VIP) service management platform of customer service center
CN109919501A (en) The operation of community's distributed power grid based on block chain and transaction settlement method
CN202421844U (en) Monitoring and managing system for oil engine
Li et al. Planning method and principles of the cloud energy storage applied in the power grid

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C56 Change in the name or address of the patentee
CP01 Change in the name or title of a patent holder

Address after: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8

Patentee after: ELECTRIC POWER RESEARCH INSTITUTE, GUANGDONG POWER GRID CO., LTD.

Address before: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8

Patentee before: Electrical Power Research Institute of Guangdong Power Grid Corporation