CN107248751B - A kind of energy storage station dispatch control method for realizing distribution network load power peak load shifting - Google Patents
A kind of energy storage station dispatch control method for realizing distribution network load power peak load shifting Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The present invention relates to intelligent power grid technology fields, in particular to a kind of energy storage station dispatch control method for realizing distribution network load power peak load shifting, the following steps are included: 1, according to power demand historical data second day power demand of power grid is predicted, obtain the predicted value of power demand a few days ago；2, energy storage station scheduling model a few days ago is established, requirement forecasting value will input scheduling model a few days ago a few days ago, solution obtains the operation plan a few days ago of energy storage station；3, according to the real-time condition of second day power demand, power demand historical data is replaced with the real time data of last time, and inputs energy storage station scheduling model a few days ago, solution obtains the operation plan after energy storage station real time correction.The peak load shifting function of energy storage station follow load variation had not only may be implemented in the control method, but also can be to avoid operation plan is unreasonable a few days ago caused by prediction error, the charge-discharge electric power of energy storage station in scientific arrangement power grid.Data requirements amount is small, calculates simply, easily operated.
Description
Technical field
The invention belongs to intelligent power grid technology field more particularly to a kind of storages for realizing distribution network load power peak load shifting
Can stand dispatch control method.
Background technique
From the high capacity cell energy storage of water-storage till now, scientific and technical development is so that more and more high density, big
Capacity, the energy storage material of low cost and energy storage technology are by development and application.Energy-storage system is adjusted by its fast throughput ability, flexibly
The characteristic of energy saving power and charge and discharge one can effectively carry out electric system demand side management, eliminate peak of power consumption and trough period
Between peak-valley difference, smooth load improves the utilization rate and service life of equipment.Energy-storage system is gradually introduced in electric system
In, as the important means of compensation load fluctuation, become the important component of smart grid and energy internet.
Compensation load fluctuation realizes that electricity consumption side peak load shifting is the important content of electric system demand side management.Reduce load
Peak value improves service life of equipment, it is significant to reduce spare capacity cost for delaying device upgrade to be transformed.Compensate load
Valley plays an important role for reducing electricity power enterprise's start and stop slewing cost to reduce power supply cost.
Traditional regulating measure has excitation electrovalence policy: by implementing time-of-use tariffs, excitation user's low-valley interval, which improves, to be used
Electricity demanding, peak period reduce power demand.And this regulating measure has passivity, user is difficult to the responsiveness of electricity price
Estimation, peak valley regulating power is limited, and time-of-use tariffs are difficult to formulate.Furthermore it is horizontal that power demand can be adjusted by controllable burden,
User, by the controllable burdens such as air-conditioning, water heater object in response, responds the peak valley of power supply by signing an agreement with power supply enterprise
It adjusts.But this regulating measure can sacrifice user to the satisfaction of electric service.
Large-scale energy storage system charges in low-valley interval, discharges, can be very good in the peak of power consumption period
At the task of electric system peak load shifting, and compensation electricity is controllable, and the compensation time is controllable, does not sacrifice the power demand of user,
There is great advantage in terms of peak load shifting.It puts into operation there are many energy storage facility both at home and abroad.The country is with south electric network
It takes the lead in having carried out MW grades of energy-storage system demonstration projects headed by the Baoqing energy storage station of Shenzhen.
But the dispatching method after energy-storage system access electric system is still the field for being worth probing into.In application number
For in 201610916198.7 " the energy storage dispatching methods and device of smart grid ", with blower, load, electric vehicle in smart grid
The uncertainty of charge and discharge is Consideration, by establishing Optimized model, optimizes energy storage scheduling scheme to inhibit these uncertain
Sexual factor makes power network safety operation.Application No. is the 201610604889.3 " distributed photovoltaics based on energy storage scheduling method
Two stages multiple target on-site elimination method " it is main control variable with energy storage scheduling strategy and cooperates unit output, light in a distributed manner
Volt consumption rate is up to priority target, and with the minimum by-end of system operation cost, meter and storage energy operation constraint etc. are necessary about
Beam condition is modeled, and while optimizing photovoltaic consumption rate, preferably takes into account the target of system operation cost minimum.Application
" a kind of micro-capacitance sensor and its energy storage dispatching method " solves rotary load starting and impacts to micro-capacitance sensor number for 201210588833.5
Influence, the problems such as power supply reliability is poor；Clean reproducible energy is made full use of, and avoids the wave of clean reproducible energy
Take；While the power supply reliability for having ensured user, the service life of micro-capacitance sensor entirety is increased.But all without being directed to energy storage
System balance load, the energy storage dispatching method for serving electric system peak load shifting.
Based on the above analysis and published technical data, the consumption of the new energy such as scene is concentrated on to the scheduling research of energy storage
Cost of investment etc. is run with microgrid is reduced, there has been no the variations of energy-storage system follow load, realize electric system peak load shifting
Dispatching method.
Summary of the invention
The object of the present invention is to provide a kind of real-time power demand variations of tracking, and schedule ahead operation plan is power distribution network
The energy storage station dispatch control method of load power peak load shifting.
To achieve the above object, the technical solution adopted by the present invention is that: a kind of realization distribution network load power peak load shifting
Energy storage station dispatch control method, comprising the following steps:
Step 1 predicts second day power demand of power grid that obtaining electricity consumption a few days ago needs according to power demand historical data
The predicted value asked；
Step 2 establishes energy storage station scheduling model a few days ago, requirement forecasting value will input scheduling model a few days ago a few days ago, and solve
To the operation plan a few days ago of energy storage station；
Step 3, according to the real-time condition of second day power demand, replace power demand with the real time data of last time
Historical data, and energy storage station scheduling model a few days ago is inputted, solution obtains the operation plan after energy storage station real time correction.
In the energy storage station dispatch control method of above-mentioned realization distribution network load power peak load shifting, built described in step 2
Scheduling model comprises the concrete steps that a few days ago for vertical energy storage station:
Step 2.1 establishes the objective function of scheduling model a few days ago；
(1), in (2) formula, Pt ESSIt is the power of energy storage station t moment, STAtIt is charging and discharging state of the energy storage station in t moment,
Pt LoadIt is predicted value of the load in the power of t moment,It is the average value of daily load power, is divided into N sections within one day, N is
Section of total scheduling time in one day；
Step 2.2 determines the constraint condition of scheduling model a few days ago；
1. energy storage station charge-discharge electric power constrains:
(3) in formula, Pt ESSIt is the power of energy storage station t moment,It is the rated power of energy storage station manufacturer calibration；
2. energy storage station operating status constrains:
Indicate that energy storage station is in charged state with 1,0 expression energy storage station is in floating charge state, and -1 expression energy storage station, which is in, to be put
Electricity condition, then:
STAt∈{-1,0,1} (4)
(4) in formula, STAtIndicate energy storage station in the operating status of t moment；
3. energy storage station state-of-charge constrains:
The state-of-charge of energy storage station is calculated by following formula:
(5) in formula, SOCtIndicate the state-of-charge of t moment energy storage station,Indicate the remaining capacity of energy storage station t moment,Indicate the maximum capacity of energy storage station；
Requirement of the energy storage station for the remaining capacity of energy storage material:
SOCmin≤SOCt≤SOCmax (6)
(6) in formula, SOCtIndicate the state-of-charge of t moment energy storage station, SOCminAnd SOCmaxRespectively indicate energy storage station most
Small carrying capacity and maximum carrying capacity；
4. energy storage station energy balance constrains:
(7) in formula, SOCtAnd SOCt+1Energy storage station is respectively indicated in the state-of-charge at t and t+1 moment, η indicates energy storage station
Charge-discharge electric power, Pt ESSIndicate the power of energy storage station t moment, STAtIndicate operating status of the energy storage station in t moment, TsIndicate t and
Time interval between the t+1 moment,Indicate the maximum capacity of energy storage station.
In the energy storage station dispatch control method of above-mentioned realization distribution network load power peak load shifting, step 3 it is specific
Realization includes:
Step 3.1 carries out real time correction to the operation plan after the m+1 moment m-th of moment, and the moment has occurred by m
Real-time electricity consumption data fill vacancies in the proper order the predicted value of replacement power demand a few days ago；
The real time correction process of the m+1 moment regulation goal of step 3.2 is described with following mathematical formulae:
(8), in (9) formula, Pt ESSIt is the power of energy storage station t moment, STAtIt is charging and discharging state of the energy storage station in t moment,
Pt LoadIt is power of the load in t moment,It is the average value of daily load power, is divided within one day N sections, it is total in N i.e. one day
Scheduling time section, at the time of m will carry out real time correction after being.
Beneficial effects of the present invention: dispatching method data requirements amount is small, calculates simply, easily operated, stores up to reasonable arrangement
The charge and discharge plan that can be stood has directive function.Meanwhile the initiative ability of power distribution network peak valley adjusting is enhanced, delay distribution net equipment
Upgrading work, improves the utilization rate of power supply unit, has saved the investment and operating cost of power grid.Both energy storage may be implemented
The peak load shifting function of follow load of standing variation, and can be to avoid operation plan is unreasonable a few days ago caused by prediction error, science
Arrange the charge-discharge electric power of energy storage station in distribution.
Detailed description of the invention
Fig. 1 is the operational flowchart of one embodiment of the invention dispatching method；
Fig. 2 is the predicted value and actual value of second day load power demand of one embodiment of the invention；
Fig. 3 is the second day charge-discharge electric power of energy storage station and shape that one embodiment of the invention is solved by scheduling model a few days ago
State arrangement
Fig. 4 is the actual value of second day load power demand of one embodiment of the invention, does not correct only energy storage a few days ago in real time
The load value of scheduling and plus the real-time load value corrected after storage energy operation.
Specific embodiment
Embodiments of the present invention are described in detail with reference to the accompanying drawing.
The present embodiment adopts the following technical solutions to realize, a kind of storage for realizing distribution network load power peak load shifting
Can stand dispatch control method, comprising the following steps:
Step 1 predicts second day power demand of power grid that obtaining electricity consumption a few days ago needs according to power demand historical data
The predicted value asked；
Step 2 establishes energy storage station scheduling model a few days ago, requirement forecasting value will input scheduling model a few days ago a few days ago, and solve
To the operation plan a few days ago of energy storage station；
Step 3, according to the real-time condition of second day power demand, replace power demand with the real time data of last time
Historical data, and energy storage station scheduling model a few days ago is inputted, solution obtains the operation plan after energy storage station real time correction.
Further, energy storage station is established described in step 2, and scheduling model comprises the concrete steps that a few days ago:
Step 2.1 establishes the objective function of scheduling model a few days ago；
(1), in (2) formula, Pt ESSIt is the power of energy storage station t moment, STAtIt is charging and discharging state of the energy storage station in t moment,
Pt LoadIt is predicted value of the load in the power of t moment,It is the average value of daily load power, is divided into N sections within one day, N is
Section of total scheduling time in one day；
Step 2.2 determines the constraint condition of scheduling model a few days ago；
1. energy storage station charge-discharge electric power constrains:
(3) in formula, Pt ESSIt is the power of energy storage station t moment,It is the rated power of energy storage station manufacturer calibration；
2. energy storage station operating status constrains:
Indicate that energy storage station is in charged state with 1,0 expression energy storage station is in floating charge state, and -1 expression energy storage station, which is in, to be put
Electricity condition, then:
STAt∈{-1,0,1} (13)
(4) in formula, STAtIndicate energy storage station in the operating status of t moment；
3. energy storage station state-of-charge constrains:
The state-of-charge of energy storage station is calculated by following formula:
(5) in formula, SOCtIndicate the state-of-charge of t moment energy storage station,Indicate the remaining capacity of energy storage station t moment,Indicate the maximum capacity of energy storage station；
Requirement of the energy storage station for the remaining capacity of energy storage material:
SOCmin≤SOCt≤SOCmax (15)
(6) in formula, SOCtIndicate the state-of-charge of t moment energy storage station, SOCminAnd SOCmaxRespectively indicate energy storage station most
Small carrying capacity and maximum carrying capacity；
4. energy storage station energy balance constrains:
(7) in formula, SOCtAnd SOCt+1Energy storage station is respectively indicated in the state-of-charge at t and t+1 moment, η indicates energy storage station
Charge-discharge electric power, Pt ESSIndicate the power of energy storage station t moment, STAtIndicate operating status of the energy storage station in t moment, TsIndicate t and
Time interval between the t+1 moment,Indicate the maximum capacity of energy storage station.
Further, the specific implementation of step 3 includes:
Step 3.1 carries out real time correction to the operation plan after the m+1 moment m-th of moment, and the moment has occurred by m
Real-time electricity consumption data fill vacancies in the proper order the predicted value of replacement power demand a few days ago；
The real time correction process of the m+1 moment regulation goal of step 3.2 is described with following mathematical formulae:
(8), in (9) formula, Pt ESSIt is the power of energy storage station t moment, STAtIt is charging and discharging state of the energy storage station in t moment,
Pt LoadIt is power of the load in t moment,It is the average value of daily load power, is divided within one day N sections, it is total in N i.e. one day
Scheduling time section, at the time of m will carry out real time correction after being.
Embodiment 1, a kind of energy storage station dispatch control method for realizing distribution network load power peak load shifting, as shown in Figure 1,
Based on scheduling and real time correction a few days ago, the dynamic optimization model of energy storage station charge and discharge operation plan a few days ago is established.The meter of the model
The operation plan arrangement a few days ago of energy storage station may be implemented in calculation method, determines that the power output of second day energy storage station is horizontal, and by real-time
The dynamic programming method of correction reaches the real-time power demand of tracking, is the purpose of distribution network load power peak load shifting.
The following steps are included:
1. obtaining power demand historical data, operation of power networks department is based on these historical datas to second day power demand
It is predicted, the predicted value of second day power demand is reported to the traffic department of power grid, traffic department is facilitated to arrange to adjust a few days ago
Degree plan.
2. the Optimal Operation Model a few days ago of energy storage station
For the dispatching of power netwoks demand of peak load shifting, the service condition met required for energy storage station self-characteristic is considered, use
Mathematical formulae is described, and establishes scheduling model a few days ago, and the predicted value of power demand is input in model, asks by traffic department
The operation plan a few days ago after optimization can be obtained in solution model.
The objective function of scheduling model and constraint condition are as follows a few days ago:
(1) objective function of scheduling model a few days ago:
A few days ago the target of schedule energy storage station power output level be can follow load variation, realize peak load shifting: with
During electric peak value, schedule ahead energy storage station discharges to cut down peak of power consumption, the spare capacity of level power supply in reduction, improves power supply matter
Amount；During load low power consumption, arranges energy storage station charging to increase load power demand, prevent the frequent start-stop of level power supply
Machine reduces cost of electricity-generating.A kind of such schedule plan can be expressed with following mathematical formulae:
In formula, Pt ESSIt is the power of energy storage station t moment, STAtIt is charging and discharging state of the energy storage station in t moment, Pt LoadIt is negative
Lotus the power of t moment predicted value,It is the average value of daily load power, is divided within one day N sections, it is total in N i.e. one day
Scheduling time section.
(2) constraint condition of scheduling model a few days ago:
1. energy storage station charge-discharge electric power constrains:
The energy storage station rated value that charge-discharge electric power is demarcated no more than energy storage station manufacturer at various moments, this item
Part can be used to lower mathematical formulae description:
In formula, Pt ESSIt is the power of energy storage station t moment,It is the rated power of energy storage station manufacturer calibration.
2. energy storage station operating status constrains:
After energy storage station is grid-connected, there are three kinds of charging, electric discharge, floating charge operating statuses, use 1 indicates that energy storage station is in charged state, 0
It indicates that energy storage station be in floating charge state, i.e., does not charge and also do not discharge, -1 indicates that energy storage station is in discharge condition, this condition can be with
It is described with following mathematical formulae:
STAt∈{-1,0,1} (22)’
In formula, STAtIndicate energy storage station in the operating status of t moment.
3. energy storage station state-of-charge constrains:
The state-of-charge of energy storage station can be calculated by following formula:
In formula, SOCtIndicate the state-of-charge of t moment energy storage station,Indicate the remaining capacity of energy storage station t moment,
Indicate the maximum capacity of energy storage station.
Whether the energy storage station for using which kind of energy storage mode, all requires the remaining capacity of energy storage material: can neither
Electric discharge is excessively lower than certain lower limit, can not be overcharged with electricity higher than certain upper limit.Otherwise, energy storage material can be caused to damage
Wound.This condition can be described with following mathematical formulae:
SOCmin≤SOCt≤SOCmax (24)’
In formula, SOCtIndicate the state-of-charge of t moment energy storage station, SOCminAnd SOCmaxRespectively indicate the minimum lotus of energy storage station
Electricity and maximum carrying capacity.
4. energy storage station energy balance constrains:
After energy storage station completes a charge and discharge, the electric energy of storage can accumulate or regressive, that is, the remaining lotus of energy storage station
Electricity condition is determined by the state-of-charge and charge-discharge electric power of last moment.From the point of view of mathematics, i.e. the residue of energy storage station
Electricity cannot mutate at any time, can only be by last moment consecutive variations.This condition can use following mathematical formulae
Expression:
In formula, SOCtAnd SOCt+1Energy storage station is respectively indicated in the state-of-charge at t and t+1 moment, η indicates filling for energy storage station
Discharge power, Pt ESSIndicate the power of energy storage station t moment, STAtIndicate operating status of the energy storage station in t moment, TsIndicate t and t+
Time interval between 1 moment,Indicate the maximum capacity of energy storage station.
3. the energy storage station power real-time calibration model filled vacancies in the proper order based on equal dimension information
In the Optimal Operation Model a few days ago of step 1, dispatching of power netwoks department can obtain second day according to history electricity consumption data
Load electricity consumption data predicted value, arrange second day each moment energy storage station charge-discharge electric power and charging and discharging state, thus
Second day power demand is adjusted, realizes the purpose of peak load shifting.But due to load have randomness, history power demand with
There are errors for practical power demand, are arranged the charge and discharge plan of second day energy storage station can not be complete according to history power demand
Power demand is tracked, meeting and actual conditions generate deviation.This just needs to carry out real time correction: root to the operation plan arranged a few days ago
Factually border electricity consumption situation adjusts future time instance operation plan in time, preferably tracks the situation of change of power demand, completes peak clipping
Valley-fill regulation goal.
It needs to carry out real time correction to the operation plan after the m+1 moment m-th of moment, particularly as being to have sent out m
The real-time electricity consumption data at raw moment fills vacancies in the proper order the prediction data for replacing history electricity consumption.
The real time correction process of the m+1 moment regulation goal can be used following mathematical formulae to describe:
In formula, Pt ESSIt is the power of energy storage station t moment, STAtIt is charging and discharging state of the energy storage station in t moment, Pt LoadIt is negative
Lotus t moment power,It is the average value of daily load power, is divided within one day N sections, in N i.e. one day when total scheduling
Between section, at the time of m will carry out real time correction after being.
4. by the acquisition of the above three steps content power demand prediction data, a few days ago operation plan and real time correction a few days ago,
Complete energy storage station Two-phases Scheduling plan arrangement and adjustment, the operation plan of the energy storage station can make energy storage station preferably with
The situation of change of track power demand carries out charge and discharge in due course to compensate load fluctuation, achievees the effect that peak load shifting.
Embodiment 2, firstly, by operation of power networks department, obtain the load based on power demand historical data and predict a few days ago
Value；Secondly, being filled out based on load producer's calibrating parameters of predicted value and energy storage station a few days ago with energy storage station follow load power peak clipping
Paddy effect is optimal, establishes Optimized model, solves the operation plan a few days ago of energy storage station；When further according to operation in second day, load electricity consumption
The actual value of power establishes real-time correction model, the operation plan a few days ago that roll correction is formulated, to track actual load and prediction
The situation of change that value is not inconsistent.The specific implementation process is as follows:
1) predicted value of second day power demand, second day power demand such as Fig. 2 of prediction are obtained from operation of power networks department
Shown in the data that dotted line indicates；
2) the above predicted value is input to energy storage station a few days ago in scheduling model.
These predicted values have been used in objective function, i.e., replace algebra P with occurrencet Load.It is divided within one day 96 tune
The moment is spent, is once dispatched within energy storage station every 15 minutes, adjusts its charging and discharging state and power, i.e. N=96.Can be passed through
The predicted value of two days power demands acquires, and is the average value of second day power consumption prediction value, i.e.,
In constraint condition, the maximum charge-discharge electric power of energy storage station is 200kW in the present embodiment 1, i.e.,
Energy storage station maximum capacity is 5000kWh, i.e.,The maximum carrying capacity of energy storage station and minimum carrying capacity point
It Wei not 0% and 100%, i.e. SOCmin=0 and SOCmax=1.Efficiency for charge-discharge η=90% of energy storage station.Scheduling time inter 60
Minute is equal to 1 hour, i.e. Ts=1.
Unknown quantity is removed in this way, and the parameter input of model finishes.Using the solution software of mathematical programming problem to above excellent
Change model to be solved, the present embodiment 1 can obtain unknown quantity P using the software of Matlab after solutiont ESSAnd STAt, this two unknown
Amount is the operation plan scheduling value of second day energy storage station each moment charge-discharge electric power and charging and discharging state.Second day energy storage station
Operation plan arrange it is as shown in Figure 3: y-axis is that positive value indicates charge power, and y-axis is that negative value indicates discharge power.
3) after completing operation plan a few days ago, the energy storage station in embodiment 1 carries out charge and discharge according to the plan, at the 2nd
Scheduling instance is illustrated real time correction process for being corrected.The actual value of second day load power demand such as Fig. 2 is real
Shown in the data that line indicates, the power demand actual value of preceding 2 scheduling instances is then replaced into scheduling model target letter a few days ago
The predicted value of 2 power demands in number.Other model parameter values all remain unchanged.The Optimized model is solved again, is still used
Matlab is solved.Replacement is circuited sequentially from second moment to the 24th moment according to the process of 1 step 3 of embodiment, is solved
23 times, until second day, whole traffic controls were completed.
4) the real time correction value of 23 moment energy storage station charge-discharge electric power next is obtained in this way, is stored up in next scheduling instance
Can stand will run according to the charge-discharge electric power after correction.Add only with operation plan a few days ago and using scheduling a few days ago modified in real time
Operation plan contrast effect is as shown in Figure 4: comparison energy storage is only by dispatching the dotted line of peak load shifting effect and plus repairing in real time a few days ago
Dotted line after just, it can be deduced that the operation plan after energy storage station real time correction is obvious to the peak load shifting effect of load.
It should be understood that the part that this specification does not elaborate belongs to the prior art.
Although being described in conjunction with the accompanying a specific embodiment of the invention above, those of ordinary skill in the art should
Understand, these are merely examples, various deformation or modification can be made to these embodiments, without departing from original of the invention
Reason and essence.The scope of the present invention is only limited by the claims that follow.
Claims (1)
1. a kind of energy storage station dispatch control method for realizing distribution network load power peak load shifting, characterized in that including following step
It is rapid:
Step 1 predicts second day power demand of power grid according to power demand historical data, obtains power demand a few days ago
Predicted value；
Step 2 establishes energy storage station scheduling model a few days ago, requirement forecasting value will input scheduling model a few days ago a few days ago, solution is stored up
The operation plan a few days ago that can be stood；
Step 3, according to the real-time condition of second day power demand, replace power demand history with the real time data of last time
Data, and energy storage station scheduling model a few days ago is inputted, solution obtains the operation plan after energy storage station real time correction；
Energy storage station is established described in step 2, and scheduling model comprises the concrete steps that a few days ago:
Step 2.1 establishes the objective function of scheduling model a few days ago；
(1), in (2) formula, parameter PESSFor the power of energy storage station, parameter STA is the charging and discharging state of energy storage station；Pt ESSIt is energy storage station
The power of t moment, STAtIt is charging and discharging state of the energy storage station in t moment, Pt LoadIt is predicted value of the load in the power of t moment, P
It is the average value of daily load power, is divided within one day N sections, section of total scheduling time in N i.e. one day；
Step 2.2 determines the constraint condition of scheduling model a few days ago；
1. energy storage station charge-discharge electric power constrains:
(3) in formula, Pt ESSIt is the power of energy storage station t moment,It is the rated power of energy storage station manufacturer calibration；
2. energy storage station operating status constrains:
Indicate that energy storage station is in charged state with 1,0 expression energy storage station is in floating charge state, and -1 indicates that energy storage station is in electric discharge shape
State, then:
STAt∈{-1,0,1} (4)
(4) in formula, STAtIndicate energy storage station in the charging and discharging state of t moment；
3. energy storage station state-of-charge constrains:
The state-of-charge of energy storage station is calculated by following formula:
(5) in formula, SOCtIndicate the state-of-charge of t moment energy storage station,Indicate the remaining capacity of energy storage station t moment,Table
Show the maximum capacity of energy storage station；
Requirement of the energy storage station for the remaining capacity of energy storage material:
SOCmin≤SOCt≤SOCmax (6)
(6) in formula, SOCtIndicate the state-of-charge of t moment energy storage station, SOCminAnd SOCmaxThe minimum for respectively indicating energy storage station is charged
Amount and maximum carrying capacity；
4. energy storage station energy balance constrains:
(7) in formula, SOCtAnd SOCt+1Energy storage station is respectively indicated in the state-of-charge at t and t+1 moment, η indicates the charge and discharge of energy storage station
Electrical power, Pt ESSIndicate the power of energy storage station t moment, STAtIndicate charging and discharging state of the energy storage station in t moment, TsIndicate t and t+
Time interval between 1 moment,Indicate the maximum capacity of energy storage station；
The specific implementation of step 3 includes:
Step 3.1 carries out real time correction to the operation plan after the m+1 moment m-th of moment, m has been occurred the reality at moment
When electricity consumption data fill vacancies in the proper order the predicted value of replacement power demand a few days ago；
The real time correction process of the m+1 moment regulation goal of step 3.2 is described with following mathematical formulae:
(8), in (9) formula, Pt ESSIt is the power of energy storage station t moment, STAtIt is charging and discharging state of the energy storage station in t moment, Pt LoadIt is
For load in the power of t moment, P is the average value of daily load power, is divided within one day N sections, in N i.e. one day when total scheduling
Between section, at the time of m will carry out real time correction after being；STAreal,tWithIt is illustrated respectively in the m moment for needing to correct
Before, load power, energy storage station charging and discharging state and the energy storage station power of t moment are actually occurred at.
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| CN201710620246.2A CN107248751B (en) | 2017-07-26 | 2017-07-26 | A kind of energy storage station dispatch control method for realizing distribution network load power peak load shifting |
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| CN104795829B (en) * | 2015-04-29 | 2018-03-30 | 中国电力科学研究院 | A kind of energy-storage system dispatching method based on peak load shifting |
| CN106451510B (en) * | 2016-11-11 | 2018-11-30 | 国家电网公司 | It is a kind of adapt to peak load shifting energy storage station capacity and charge-discharge electric power configuration method |
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