CN105894122A - Electric equipment operation scheduling method for home energy management system - Google Patents

Abstract

The invention relates to an electric equipment operation scheduling method for a home energy management system. The electric equipment operation scheduling method comprises the following steps: S1) dividing the scheduling time slot, and collecting the data required by scheduling; S2) establishing a model for schedulable equipment; S3) establishing a scheduling model which takes economical efficiency and degree of satisfaction for electricity utilization as the comprehensive optimization target; and S4) solving the scheduling model to realize scheduling of the electric equipment. Compared with the prior art, the electric equipment operation scheduling method for a home energy management system can preferably satisfy the requirement for economical efficiency and the requirement for degree of satisfaction for users at the same time, and can be applied to a home energy management system to perform operation scheduling on the electric equipment.

Description

A kind of electrical equipment traffic control method for household energy management system

Technical field

The present invention relates to intelligent power technical field, especially relate to a kind of electricity consumption for household energy management system and set Received shipment row dispatching method.

Background technology

Household energy management system is the extension in resident side of the intelligent grid demand response project, uses except to realize improving Electrical efficiency, energy-saving and emission-reduction basic function outside, resident side to be demand response project implementation, distribution type renewable energy connect Enter electrical network, reduce user with expense providing support.

The traffic control of household electricity equipment is the key problem in home energy management.Have at present scholar's research based on The power generation dispatching model that user side is interactive, but do not relate to the electricity consumption task arrangement of the concrete equipment in user side；There is scholar Based on household electricity equipment being carried out classification model construction to realize the electrically optimized traffic control of family, reach to avoid the mesh of electrical network demand peaks , but proposed model does not all account for the application of regenerative resource and energy storage device；Also have scholar consider distributed can Establish model on the basis of the renewable sources of energy and batteries to store energy respectively the electricity consumption arrangement of household load is optimized, but its Optimization aim simply solely minimizes user power utilization expense, does not consider the satisfaction of user.

Summary of the invention

Defect that the purpose of the present invention is contemplated to overcome above-mentioned prior art to exist and provide a kind of for home energy The electrical equipment traffic control method of management system, is uniformly coordinated tune by household electricity equipment, energy storage device and regenerative resource Degree, under Spot Price system, consider electricity consumption economy and the satisfaction of user, set up more novel, comprehensive, meet reality The household electricity equipment traffic control model on border, for studying the intelligent power technology of power system.

The purpose of the present invention can be achieved through the following technical solutions: a kind of electricity consumption for household energy management system Equipment traffic control method, comprises the following steps:

(S1) divide time slot scheduling, collect scheduling desired data；

(S2) model of schedulable equipment is set up；

(S3) setting up the scheduling model being complex optimum target with electricity consumption economy and electricity consumption satisfaction, wherein electricity consumption is satisfied Degree comprises again Time-satisfaction degree and temperature satisfaction；

(S4) solve described scheduling model and obtain the operation period of electrical equipment so that within this period electricity consumption save most and Users'comfort is optimal, it is achieved the scheduling to electrical equipment.

In described step (S1), the division methods of time slot scheduling was, was divided into H continuous print time slot by one day, each The length Δ h of time slot_step=24/H hour.

Described scheduling desired data include Spot Price information, family's roof photovoltaic output, equipment operating time, Equipment rated power and user's desired equipment task time region etc..

In described step (S2), schedulable device model is:

$P_{DEFE}\left(h\right)={\mathrm{\Σ}}_{a=1}^A{s}_a\left(h\right)\·P_a$

${\mathrm{\Σ}}_{h={\mathrm{\α}}_a}^{{\mathrm{\β}}_a}{s}_a\left(h\right)=d_a$

s_a(h)=0, h ∈ H [α_a,β_a]

Wherein, a=1,2 ..., A is schedulable device numbering, and A represents the quantity of schedulable equipment, P_DEFEH () represents institute There is the schedulable equipment total power consumption at time slot h；s_aH () is binary number, represent the equipment a duty at time slot h, s_a(h) =1 represents that a is in running order at time slot h, s_aH ()=0 represents that equipment a is in idle state, P at time slot h_aExpression equipment Rated power, in order to simplify calculating, all with respective rated power P during all devices load work_aRun, [α_a,β_a] represent user The working time region of desired equipment a, d_aExpression equipment a completes the operating time that a certain required by task is wanted.

When temperature equipment is air-conditioning, its mathematical model is:

T_in(h+1)=ε T_in(h)+(1-ε)·(T_out(h)-η·P_TM(h)/A)

$T_{in}^{\min }\≤T_{in}\left(h\right)\≤T_{in}^{\max }$

$0\≤P_{TM}\left(h\right)\≤P_{TM}^{\max }$

Wherein, T_outH () represents outdoor temperature, T_inH () represents the indoor temperature under air-conditioning effect, P_TMH () represents sky Adjusting the electricity consumed, ε, A and η represent system inertia, the coefficient of heat conduction and air conditioning system efficiency factor respectively, and they are and house The parameter relevant with air conditioning system self-characteristic.WithRepresent user's desired indoor temperature bound respectively, Represent the maximum allowable power consumption of air-conditioning in a time slot, the nameplate data of air-conditioning determine.

When energy storage device is accumulator, its mathematical model is:

$SOC(h+1)=SOC\left(h\right)+\[P_{batt}^{ch}\left(h\right)-P_{batt}^{dch}\left(h\right)\]\·{\mathrm{\Δh}}_{step}/E_{batt}$

SOC^min≤SOC(h)≤SOC^max

$0\≤P_{batt}^{ch}\left(h\right)/{\mathrm{\η}}_{ch}\≤s_{batt}\left(h\right)\·P_{ch}^{\max }$

$0\≤P_{batt}^{dch}\left(h\right)\·{\mathrm{\η}}_{dch}\≤\[1-s_{batt}\left(h\right)\]\·P_{dch}^{\max }$

$P_{batt}\left(h\right)=P_{batt}^{ch}\left(h\right)/{\mathrm{\η}}_{ch}-P_{batt}^{dch}\left(h\right)\·{\mathrm{\η}}_{dch}$

Wherein, SOC (h) represents the state-of-charge of accumulator, SOC^maxAnd SOC^minRepresent storage battery charge state respectively Upper and lower bound, when battery discharging to SOC^minWould not allow for continuing electric discharge, when accumulator charges to SOC^maxWould not allow for continuing Continuous charging；WithIt is illustrated respectively in time slot h and is filled with electric energy and the electric energy of accumulator release of accumulator；WithIt is respectively accumulator charge volume and the maximum of discharge capacity；E_battRepresent the rated capacity of accumulator, s_battH () is two to enter Variable processed, represents the charging and discharging state of accumulator, at time slot h, if accumulator is in charged state, then s_battH ()=1, if storing Battery is in discharge condition, then s_batt(h)=0；P_battH () represents the accumulator output at time slot h, on the occasion of representing charging, Negative value represents electric discharge；η_chAnd η_dchRepresent the efficiency of the charging and discharging of accumulator respectively.

Described schedulable equipment includes interrupting equipment and can not interrupt equipment, i.e. powers point by the need of persistence For equipment can be interrupted and can not interrupt equipment, equipment can be interrupted and can open or suspend in allowing working range, therefore its work State can be 1 or 0；Equipment can not be interrupted once running it is necessary that between start time and finish time once Property completes work requirements.

Described interrupted equipment meets: s_a(h)={ 0,1}, h ∈ [α_a,β_a],

The described equipment that can not interrupt meets:Wherein, τ is middle Variable.

The described scheduling model in step (S3) is:

min[γ·Cost_elec+(1-γ)·(Cost_wait+Cost_temp)]

Wherein, γ is the user preference factor, 0≤γ≤1, and γ is set by the user, and γ value the least user of showing more pay attention to Satisfaction index, γ value shows that the most greatly user more payes attention to economic index；Cost_elec、Cost_waitAnd Cost_tempRepresent respectively User needs the electricity charge, the Time-satisfaction degree index of user and the temperature Satisfaction index paid.

$\begin{array}{c}{\mathrm{Cost}}_{elec}={\Σ}_{h=1}^H\[RTP\left(h\right)\·P_{GRID}\left(h\right)\]\\ ={\Σ}_{h=1}^H\[RTP\left(h\right)\·\left(P_{MS}\right(h)+P_{batt}(h)+P_{DEFE}(h)+P_{TM}(h)-P_{PV}(h\left)\right)\]\end{array}$

Wherein, P_GRIDH () represents the charge value that the single family of each timeslice buys to bulk power grid or sells, on the occasion of expression The electricity bought from bulk power grid, negative value represents the electricity sold to bulk power grid, and it is equal, all with the price selling electricity to buy electricity in the present invention The Spot Price that Utilities Electric Co. issues, P is represented for RTP (h), RTP (h)_MS(h)、P_DEFE(h) and P_TMH () represents non-adjustable respectively Degree equipment, schedulable equipment and the electric power consumption of temperature equipment, P_battH () represents the accumulator output at time slot h, just Value represents charging, and negative value represents electric discharge, P_PVH () represents the PV module output at time slot h.

Wherein, x_aH () represents the equipment a power consumption at time slot h, ρ_a H () represents the priority that equipment a runs, its value is the biggest, and priority is the highest, is set by the user.Time-satisfaction degree index Cost_wait The Time-satisfaction degree of the biggest then user is the lowest.

Wherein, T_inH () represents the indoor temperature under air-conditioning effect, T_set Represent the temperature value that user sets, temperature Satisfaction index Cost_tempIt is worth the biggest then user the lowest to the satisfaction of temperature.

Compared with prior art, the present invention propose scheduling model by family schedulable interrupt equipment, can not in Disconnected equipment, temperature equipment and non-scheduling equipment are unified to be considered, is simultaneously used family's photovoltaic generation and energy storage device, and permits Permitted dump power to sell to bulk power grid；Macroeconomic effect can be strengthened for middle control measures with the discharge and recharge decision-making of energy storage device Benefit, reduces system electricity consumption peak to average；The introducing of user satisfaction makes scheduling model better meet user's request.

Accompanying drawing explanation

Fig. 1 is the flow chart of a kind of electrical equipment traffic control method for household energy management system of the present invention；

Fig. 2 is the result of random arrangement electricity consumption task；

Fig. 3 is to minimize the electricity charge for scheduling result during target；

Fig. 4 is to minimize the electricity charge for the discharge and recharge of accumulator during target and state-of-charge；

Fig. 5 is with electricity consumption economy and electricity consumption satisfaction for indoor temperature curve during complex optimum target.

Detailed description of the invention

The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention Premised on implement, give detailed embodiment and concrete operating process, but protection scope of the present invention be not limited to Following embodiment.

As it is shown in figure 1, a kind of electrical equipment traffic control method for household energy management system, including following step Rapid:

(S1) divide time slot scheduling, collect scheduling desired data, including Spot Price information, family's roof photovoltaic output work Rate, equipment operating time, equipment rated power and user's desired equipment task time region etc.；The division methods of time slot scheduling For, one day is divided into H continuous print time slot, the length Δ h of each time slot_step=24/H hour.

(S2) model of schedulable equipment is set up；

The model of schedulable equipment is:

$P_{DEFE}\left(h\right)={\mathrm{\Σ}}_{a=1}^A{s}_a\left(h\right)\·P_a$

${\mathrm{\Σ}}_{h={\mathrm{\α}}_a}^{{\mathrm{\β}}_a}{s}_a\left(h\right)=d_a$

s_a(h)=0, h ∈ H [α_a,β_a]

Wherein, a=1,2 ..., A is schedulable device numbering, and A represents the quantity of schedulable equipment, P_DEFEH () represents institute There is the schedulable equipment total power consumption at time slot h；s_aH () is binary number, represent the equipment a duty at time slot h, s_a(h) =1 represents that a is in running order at time slot h, s_aH ()=0 represents that equipment a is in idle state, P at time slot h_aExpression equipment Rated power, in order to simplify calculating, all with respective rated power P during all devices load work_aRun, [α_a,β_a] represent user The working time region of desired equipment a, d_aExpression equipment a completes the operating time that a certain required by task is wanted.

Schedulable equipment includes interrupting equipment and can not interrupt equipment, be i.e. divided into by powering the need of persistence can in Break equipment and equipment can not be interrupted, equipment can be interrupted and can open or suspend in allowing working range, therefore its duty can Think 1 or 0；Equipment can not be interrupted once running it is necessary that disposably complete between start time and finish time Work requirements.

Equipment can be interrupted meet: s_a(h)={ 0,1}, h ∈ [α_a,β_a],

Equipment can not be interrupted meet:Wherein, τ is intermediate variable.

When temperature equipment is air-conditioning, its mathematical model is:

T_in(h+1)=ε T_in(h)+(1-ε)·(T_out(h)-η·P_TM(h)/A)

$T_{in}^{\min }\≤T_{in}\left(h\right)\≤T_{in}^{\max }$

$0\≤P_{TM}\left(h\right)\≤P_{TM}^{\max }$

Wherein, T_outH () represents outdoor temperature, T_inH () represents the indoor temperature under air-conditioning effect, P_TMH () represents sky Adjusting the electricity consumed, ε, A and η represent system inertia, the coefficient of heat conduction and air conditioning system efficiency factor respectively, and they are and house The parameter relevant with air conditioning system self-characteristic.WithRepresent user's desired indoor temperature bound respectively, Represent the maximum allowable power consumption of air-conditioning in a time slot, the nameplate data of air-conditioning determine.

When energy storage device is accumulator, its mathematical model is:

$SOC(h+1)=SOC\left(h\right)+\[P_{batt}^{ch}\left(h\right)-P_{batt}^{dch}\left(h\right)\]\·{\mathrm{\Δh}}_{step}/E_{batt}$

SOC^min≤SOC(h)≤SOC^max

$0\≤P_{batt}^{ch}\left(h\right)/{\mathrm{\η}}_{ch}\≤s_{batt}\left(h\right)\·P_{ch}^{\max }$

$0\≤P_{batt}^{dch}\left(h\right)\·{\mathrm{\η}}_{dch}\≤\[1-s_{batt}\left(h\right)\]\·P_{dch}^{\max }$

$P_{batt}\left(h\right)=P_{batt}^{ch}\left(h\right)/{\mathrm{\η}}_{ch}-P_{batt}^{dch}\left(h\right)\·{\mathrm{\η}}_{dch}$

Wherein, SOC (h) represents the state-of-charge of accumulator, SOC^maxAnd SOC^minRepresent storage battery charge state respectively Upper and lower bound, when battery discharging to SOC^minWould not allow for continuing electric discharge, when accumulator charges to SOC^maxWould not allow for continuing Continuous charging；WithIt is illustrated respectively in time slot h and is filled with electric energy and the electric energy of accumulator release of accumulator；WithIt is respectively accumulator charge volume and the maximum of discharge capacity；E_battRepresent the rated capacity of accumulator, s_battH () is two to enter Variable processed, represents the charging and discharging state of accumulator, at time slot h, if accumulator is in charged state, then s_battH ()=1, if storing Battery is in discharge condition, then s_batt(h)=0；P_battH () represents the accumulator output at time slot h, on the occasion of representing charging, Negative value represents electric discharge；η_chAnd η_dchRepresent the efficiency of the charging and discharging of accumulator respectively.

(S3) setting up the scheduling model being complex optimum target with electricity consumption economy and electricity consumption satisfaction, wherein electricity consumption is satisfied Degree comprises again Time-satisfaction degree and temperature satisfaction；Scheduling model is:

min[γ·Cost_elec+(1-γ)·(Cost_wait+Cost_temp)]

Wherein, γ is the user preference factor, 0≤γ≤1, and γ is set by the user, and γ value the least user of showing more pay attention to Satisfaction index, γ value shows that the most greatly user more payes attention to economic index；Cost_elec、Cost_waitAnd Cost_tempRepresent respectively User needs the electricity charge, the Time-satisfaction degree index of user and the temperature Satisfaction index paid.

$\begin{array}{c}{\mathrm{Cost}}_{elec}={\Σ}_{h=1}^H\[RTP\left(h\right)\·P_{GRID}\left(h\right)\]\\ ={\Σ}_{h=1}^H\[RTP\left(h\right)\·\left(P_{MS}\right(h)+P_{batt}(h)+P_{DEFE}(h)+P_{TM}(h)-P_{PV}(h\left)\right)\]\end{array}$

Wherein, P_GRIDH () represents the charge value that the single family of each timeslice buys to bulk power grid or sells, on the occasion of expression The electricity bought from bulk power grid, negative value represents the electricity sold to bulk power grid, and it is equal, all with the price selling electricity to buy electricity in the present invention The Spot Price that Utilities Electric Co. issues, P is represented for RTP (h), RTP (h)_MS(h)、P_DEFE(h) and P_TMH () represents non-adjustable respectively Degree equipment, schedulable equipment and the electric power consumption of temperature equipment, P_battH () represents the accumulator output at time slot h, just Value represents charging, and negative value represents electric discharge, P_PVH () represents the PV module output at time slot h.

Wherein, x_aH () represents the equipment a power consumption at time slot h, ρ_a H () represents the priority that equipment a runs, its value is the biggest, and priority is the highest, is set by the user.Time-satisfaction degree index Cost_wait The Time-satisfaction degree of the biggest then user is the lowest.

Wherein, T_inH () represents the indoor temperature under air-conditioning effect, T_set Represent the temperature value that user sets, temperature Satisfaction index Cost_tempIt is worth the biggest then user the lowest to the satisfaction of temperature.

(S4) solve scheduling model and obtain the operation period of electrical equipment so that electricity consumption saves most and user is relaxed within this period Appropriateness is optimal, it is achieved the scheduling to electrical equipment.

The present embodiment combines simulation example and is further detailed technical scheme and effect.

Simulation example is optimized scheduling, when being divided into 48 continuous print one day 24 hours to the electricity consumption task of following a day Between sheet, each timeslice duration Δ h_step=30min.Spot Price data acquisition energy market operator of Australia provides NSW state on August 26th, 2015 Spot Price data (unit:), as shown in dashed line in figure 2, room The output power curve of top photovoltaic generation is as shown in the chain-dotted line in Fig. 2.Schedulable device-dependent message is given by table 1, has 9 Kind of schedulable equipment, wherein 3 kinds for can not interrupt equipment, 6 kinds for equipment can be interrupted, the former uses * labelling.For having in one day The equipment of multiple tasks, can be by each task as different equipment.2 can be regarded as such as the dish-washing machine in table 1 to set Standby, by that analogy, altogether need to arrange the operation time of 20 equipment.For non-scheduling equipment, it was interior electricity consumption in 24 hours Power demand is as shown in the dark cylindrical region of Fig. 2, and needing to be added to total electricity consumption as the part consuming electric power resource needs In asking.Air-conditioning parameter is: ε=0.93, A=2.5, η=0.45,The indoor temperature that user sets as 24 DEG C, Indoor temperature need to maintain 23 DEG C～25 DEG C.Accumulator parameter is: E_batt=6.68kWh, η_ch=η_dch =0.9, SOC^min=0.3, SOC^max=0.9.Within assuming that the electric energy that each time slot and electrical network exchange is limited in 5kWh.This example Lingo 11.0 programming evaluation device is modeled and solves.

Table 1

As seen from Figure 3, when according to the electricity consumption task of equipment electricity consumption constraints random arrangement equipment, the period at high noon deposits In the phenomenon of photovoltaic power supply serious waste, and night photovoltaic output almost nil when have a lot of electrical equipment fortune OK, needing the electricity charge paid is 310.6 cents.

Fig. 4 be γ=1 i.e. to minimize the electricity charge for optimum results during target, can obtain in conjunction with Fig. 5 analysis, electricity price is relatively Time low, the electricity required for equipment operation is bought from electrical network, and the charging of accumulator section the most at this moment；When electricity price is of a relatively high, in order to Meet need for electricity and discharge, although now photovoltaic output is a lot, it is contemplated that whole economic efficiency, so unnecessary Electricity is sold to bulk power grid, obtains profit.Whole day only need to pay 108.8 cents to electrical network altogether, saves the electricity of 65% than Fig. 3 Take.

By Fig. 5 it can also be seen that the state-of-charge SOC of battery increases along with battery charging process, subtracts along with discharge process Few, and maintain between the 30% to 90% of setting.And can be seen that when storage battery charge state reaches 30% or 90%, store Discharge and recharge action abandoned by battery, and the discharge and recharge of this period is 0.Visible energy storage device can also in " the lowest point " of electricity needs from Electrical network draws electric energy, supplies household electricity load period in peak of power consumption and uses, or sells to electrical network to obtain economic benefit, fall The electricity cost of low user.

Table 2 is the γ (≠ 1) electricity cost, Time-satisfaction degree index and temperature Satisfaction index when taking different values.? Indoor temperature curve when this takes preference heterogeneity γ=0.1, family, 0.5 and 0.9 is analyzed, as it is shown in figure 5, under Three models Indoor temperature is all in the range of user allows, the least user of showing of γ more payes attention to comfort level index, it is seen that γ takes temperature when 0.1 Line of writing music only has less fluctuation around the preferred temperature 24 DEG C of user, and when γ takes 0.5,0.9, temperature curve fluctuation is relatively big, And the preferred temperature of deviation user's setting is the biggest.When being in refrigeration mode due to air-conditioning, its temperature is the lowest, and the electricity consumed is more Many, therefore combining Spot Price information analysis can obtain, and scheduling controller selects to reduce air-conditioner temperature in the period that electricity price is relatively low, right Room plays the effect of pre-cooling, and at high rate period elevated temperature in user's permissible range, to reduce high rate period Power consumption.

Table 2

Claims (9)

1. the electrical equipment traffic control method for household energy management system, it is characterised in that comprise the following steps:

(S1) divide time slot scheduling, collect scheduling desired data；

(S2) model of schedulable equipment is set up；

(S3) scheduling model being complex optimum target with electricity consumption economy and electricity consumption satisfaction is set up；

(S4) solve described scheduling model and obtain the operation period of electrical equipment so that electricity consumption saves most and user within this period Comfort level is optimal, it is achieved the scheduling to electrical equipment.

A kind of electrical equipment traffic control method for household energy management system the most according to claim 1, it is special Levying and be, in described step (S1), the division methods of time slot scheduling was, was divided into H continuous print time slot, Mei Geshi by one day The length Δ h of gap_step=24/H hour.

A kind of electrical equipment traffic control method for household energy management system the most according to claim 1, it is special Levy and be, described scheduling desired data include Spot Price information, family's roof photovoltaic output, equipment operating time, Equipment rated power and user's desired equipment task time region.

A kind of electrical equipment traffic control method for household energy management system the most according to claim 1, it is special Levying and be, in described step (S2), the model of schedulable equipment is:

$P_{DEFE}\left(h\right)={\mathrm{\Σ}}_{a=1}^A{s}_a\left(h\right)\·P_a$

${\mathrm{\Σ}}_{h={\mathrm{\α}}_a}^{{\mathrm{\β}}_a}{s}_a\left(h\right)=d_a$

s_a(h)=0, h ∈ H [α_a,β_a]

Wherein, a=1,2 ..., A is schedulable device numbering, and A represents the quantity of schedulable equipment, P_DEFEH () represents all adjustable Degree equipment is at the total power consumption of time slot h；s_aH () is binary number, represent the equipment a duty at time slot h, s_a(h)=1 table Show that a is in running order at time slot h, s_aH ()=0 represents that equipment a is in idle state, P at time slot h_aThe specified merit of expression equipment Rate, [α_a,β_a] represent user desired equipment a working time region, d_aExpression equipment a completes the work that a certain required by task is wanted Make duration.

A kind of electrical equipment traffic control method for household energy management system the most according to claim 4, it is special Levying and be, described schedulable equipment includes to interrupt equipment and can not interrupting equipment,

Described interrupted equipment meets: s_a(h)={ 0,1}, h ∈ [α_a,β_a],

The described equipment that can not interrupt meets:Wherein, τ is intermediate variable.

A kind of electrical equipment traffic control method for household energy management system the most according to claim 1, it is special Levying and be, the described scheduling model in step (S3) is:

min[γ·Cost_elec+(1-γ)·(Cost_wait+Cost_temp)]

Wherein, γ is the user preference factor, 0≤γ≤1, and γ is set by the user, Cost_elec、Cost_waitAnd Cost_tempTable respectively Show that user needs the electricity charge, the Time-satisfaction degree index of user and the temperature Satisfaction index paid.

A kind of electrical equipment traffic control method for household energy management system the most according to claim 6, it is special Levy and be,

$\begin{array}{c}{\mathrm{Cost}}_{elec}={\mathrm{\Σ}}_{h=1}^H\[RTP\left(h\right)\·P_{GRID}\left(h\right)\]\\ ={\mathrm{\Σ}}_{h=1}^H\[RTP\left(h\right)\·\left(P_{MS}\right(h)+P_{batt}\left(h\right)+P_{DEFE}\left(h\right)+P_{TM}\left(h\right)-P_{PV}\left(h\right))\]\end{array}$

Wherein, P_GRIDH () represents the charge value that the single family of each timeslice buys to bulk power grid or sells, on the occasion of representing from greatly The electricity that electrical network is bought, negative value represents the electricity sold to bulk power grid, and RTP (h) represents the Spot Price that Utilities Electric Co. issues, P_MS (h)、P_DEFE(h) and P_TMH () represents non-scheduling equipment, schedulable equipment and the electric power consumption of temperature equipment, P respectively_batt H () represents the accumulator output at time slot h, on the occasion of representing charging, negative value represents electric discharge, P_PV(h) represent PV module time The output of gap h.

A kind of electrical equipment traffic control method for household energy management system the most according to claim 6, it is special Levy and be,Wherein, x_aH () represents the equipment a power consumption at time slot h, ρ_a(h) The priority that expression equipment a runs, is set by the user.

A kind of electrical equipment traffic control method for household energy management system the most according to claim 6, it is special Levy and be,Wherein, T_inH () represents the indoor temperature under air-conditioning effect, T_setTable Show the temperature value that user sets.