CN106026145A - Planned output tracking-based energy storage configuration optimization method - Google Patents

Planned output tracking-based energy storage configuration optimization method Download PDF

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Publication number
CN106026145A
CN106026145A CN201610368121.0A CN201610368121A CN106026145A CN 106026145 A CN106026145 A CN 106026145A CN 201610368121 A CN201610368121 A CN 201610368121A CN 106026145 A CN106026145 A CN 106026145A
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power
energy storage
gsh
gsl
capacity
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刘波
袁智强
曹哲
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Shanghai Electric Power Design Institute Co Ltd
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Shanghai Electric Power Design Institute Co Ltd
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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
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00—Integration of renewable energy sources in buildings
    • Y02B10/10—Photovoltaic [PV]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00—Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a planned output tracking-based energy storage configuration optimization method. A control target of the optimization method is to set upper and lower limits GSH and GSL of a power generation plan; when output power of a wind farm/photovoltaic power station exceeds the GSH, an energy storage battery begins to be charged to track the power generation plan to the greatest extent, and meanwhile, wind/light can be abandoned; when the output power is lower than the GSL, the energy storage battery begins to be discharged to track the power generation plan to the greatest extent; and when the output power is higher than the GSL and lower than the GSH, the energy storage battery is kept in an un-charged or un-discharged state. According to the optimization algorithm, optimization solution is carried out by employing the abandoned power (wind power and photovoltaic) rate and the deep charge/discharge frequency as the examination target; the energy storage configuration optimization method disclosed by the invention is beneficial to comprehensive grasp of the fluctuation characteristics of wind power generation or photovoltaic power generation; full mining of the matching relationships of wind power and energy storage, photovoltaic and energy storage, and wind power, photovoltaic and energy storage and building of a reasonable matching mode are achieved; and the acceptable capacity of a power grid on renewable energy sources is greatly improved.

Description

The energy storage method for optimizing configuration exerted oneself based on tracking plan
Technical field
The present invention relates to electric energy management technique field, be specifically related to a kind of energy storage exerted oneself based on tracking plan and configure excellent Change method.
Background technology
World today's energy-consuming is based on coal and oil, and the production of Fossil fuel and use have impact on global climate and become Change, cause environmental pollution and ecological disruption, and create energy security problem.According to statistics, the carbon emission that energy-consuming produces Amount accounts for more than the 60% of Global Carbon total emission volumn.The gas that combustion of fossil fuel produces accelerates global warming, defines Haze, and cause the destruction of ozone layer.Dust that energy products produce in its combustion process, harmful gas and therein micro- Amount heavy metal all will eventually affect the health of human body.The cooling water of coal fired power generation discharge and high-temperature flue gas, be to cause water body heat One of major reason that pollution and air themperature raise.
Along with improving constantly of environmental requirement, the more manpower of input and fund are alleviated exploitation and the profit of the energy by the mankind With pollution on the environment, necessarily cause the increase of energy cost.Additionally, due to verified and be prone to the energy money of exploitation The quantity in source reduces, and growing energy-consuming demand forces people to look for new resource, and this allows for energy Exploration and the exploitation difficulty of source resource are increasing, and cost is more and more higher.The early 21st century, along with nuclear energy industrial development environment Improving and the enhancing of engineering reliability, the development of nuclear energy enters brand-new period, and nuclear energy is shared in energy supply total amount Proportion incrementally increases.In March, 2011, the Fukushima nuclear power plant accident that Earthquakes in Japan causes shaken the whole world energy market, European Union, The country such as the U.S. and China reappraises the safety of nuclear power industry respectively, adjusts the developing direction that energy industry is following.After China The continuous examination and approval work that stopped nuclear power, the substitute is and significantly substitute former with wind-force, waterpower and solar energy equal energy source mode Some nuclear power developments are planned.European Union member countries also take similar measure, and German Government the most tentatively shows weakening nuclear power development Purpose, it is contemplated that will comprehensively stop the use of nuclear energy in 2022.Switzerland call time nuclear power development planning, Italian and Polish Government also illustrates that the nuclear energy policy by rethinking country.
At present, power system, in addition to the conventional energy resource such as thermoelectricity, water power, accepts wind energy, the sun the most more and more The new forms of energy such as energy.Wind energy and solar energy as reproducible clean energy resource, its power generation process except necessary investment with safeguard into Outside Ben, being not required to any fuel cost, it is more more long-range compared with thermoelectricity can be that Electrical Power System Dynamic economic load dispatching is brought Environment and income economically, and wind energy and solar energy are as green energy resource, by substituting a part of fired power generating unit capacity, Fuel cost, beneficially environmental conservation can be saved.But, different from conventional Power Generation Mode, wind power output and photovoltaic are exerted oneself tool There is the feature of randomness and undulatory property, can not be capable of accurately controlling and regulating as conventional Power Generation Mode.In installation Scale account for total installation of generating capacity ratio less time, power system will not be made a big impact by these problems, but along with grid-connected scale Be significantly increased, bring series of problems can to the management and running of system and peak regulation.Therefore, in order to ensure safe operation of electric network and Improve power supply quality, need to install at wind energy turbine set or photovoltaic plant the energy-storage system of certain capacity, dissolve to reach to improve electrical network The ability of new forms of energy.But energy-storage system cost intensive now, energy storage system capacity configuration is the most reasonable, stablizes system and warp Ji influence on system operation is the biggest.If Capacity Selection is less than normal, waste and the shortage of energy can be caused；Capacity selects bigger than normal, then can increase throwing Money.In wind-powered electricity generation/photovoltaic, the configuration of rational stored energy capacitance can be effectively improved the quality of power supply, stabilizes power swing.Therefore, how Under conditions of possessing again certain economy while meeting system requirements, reasonably configure the capacity of energy storage device, have weight The theoretical and practical significance wanted.
Summary of the invention
Because the drawbacks described above of prior art, the present invention provides a kind of energy storage configuration optimization exerted oneself based on tracking plan Method, the method is from the mathematical model of wind-powered electricity generation, photovoltaic and energy storage, in conjunction with electrical network for the actual requirement of new forms of energy, by wind Electric field, the control characteristic going out fluctuation and energy storage device of photovoltaic plant combine together, exert oneself in satisfied tracking electrical network plan Under requirement, optimize the capacity configuration size obtaining energy storage device.
For achieving the above object, the invention provides a kind of energy storage method for optimizing configuration exerted oneself based on tracking plan, its It is characterised by, comprises the following steps:
S1, setting generation schedule bound GSH and GSL, read wind energy turbine set/photovoltaic plant output Pw (N) simultaneously, electricity Pond rated capacity E0, the rated power P of energy storage battery0, it is judged that Pw (N) and the magnitude relationship of GSH, GSL；
S2, in n-hour, if wind energy turbine set/photovoltaic plant output Pw (N) less than GSH more than GSL, then energy storage electric power storage Pond need not work, neither charges and does not discharges, and this state is calculated as CASE3；
S3, in n-hour, if wind energy turbine set/photovoltaic plant output Pw (N) is more than GSH, then accumulator starts to charge up, tool Body is divided into two kinds of situations:
(3) if PW(N) ＞ GSH+P0, i.e. wind energy turbine set/photovoltaic plant output adds the volume of energy storage battery more than GSH Determining power, now accumulator can be with P0Charging, it may be assumed that P (N)=P0；
(4) if PW(N)≤GSH+P0, i.e. wind energy turbine set/photovoltaic plant output adds energy storage battery less than or equal to GSH Rated power, now accumulator can be with PW(N)-GSH charging, it may be assumed that P (N)=PW(N)-GSH；
S4, in n-hour, if Power Output for Wind Power Field Pw (N) is less than GSL, then accumulator starts electric discharge, abandons electricity EDIS (N)=0, specifically it is divided into two kinds of situations:
(3) if PW(N) ＜ GSL-P0, wind energy turbine set/photovoltaic plant output deducts the specified of energy storage battery less than GSL Power, now accumulator can be with P0Electric discharge, it may be assumed that P (N)=P0；
(4) if PW(N)≥GSL-P0, Power Output for Wind Power Field deducts the rated power of energy storage battery more than or equal to GSL, Now accumulator can be with GSL-PW(N) electric discharge, it may be assumed that P (N)=GSL-PW(N)；
S5, after completing the calculating of all 8760 hours, it can be deduced that abandon electricity WDIS and abandon electricity rate RDIS, wherein
S6, calculate deep charge and discharge number of times TDIS.
Further, the first situation P in described step S3W(N) ＞ GSH+P0It is divided into again two kinds of situations:
CASE1:E (N-1)+P (N) dt ＞ E0, i.e. go up the battery capacity power plus this period accumulator in a moment Be multiplied by time interval sum and exceed rated capacity, then n-hour residual capacity: E (N)=E0, abandoning electricity expression formula is: EDIS (N) =(PW(N)-GSH)·dt-(E0-E(N-1))；
CASE2:E (N-1)+P (N) dt≤E0, the battery capacity in a upper moment is taken advantage of plus the power of this period accumulator With time interval sum not less than rated capacity, then n-hour residual capacity: E (N)=E (N-1)+P (N) dt, abandons electricity and expresses Formula is: EDIS (N)=(PW(N)-GSH-P(N))·dt。
Further, the second situation P in described step S3W(N)≤GSH+P0It is divided into again two kinds of situations:
CASE1:E (N-1)+P (N) dt ＞ E0, i.e. go up the battery capacity power plus this period accumulator in a moment Be multiplied by time interval sum and exceed rated capacity, then n-hour residual capacity: E (N)=E0, abandoning electricity expression formula is:
EDIS (N)=(PW(N)-GSH)·dt-(E0-E(N-1))；
CASE2:E (N-1)+P (N) dt≤E0, i.e. go up the battery capacity power plus this period accumulator in a moment Be multiplied by time interval sum not less than rated capacity, then n-hour residual capacity: E (N)=E (N-1)+P (N) dt, abandons voltameter Reaching formula is: EDIS (N)=(PW(N)-GSH-P(N))·dt。
Further, the first situation P in described step S4W(N) ＜ GSL-P0It is divided into again two kinds of situations:
CASE4:E (N-1)-P (N) dt≤0, i.e. goes up the battery capacity in a moment and deducts the power of this period accumulator and take advantage of Being less than or equal to 0, then n-hour residual capacity: E (N)=0 with the difference of time interval, abandoning electricity is: EDIS (N)=0；
CASE5:E (N-1)-P (N) dt ＞ 0, i.e. goes up the battery capacity in a moment and deducts the power of this period accumulator and take advantage of With time interval sum not less than rated capacity, then n-hour residual capacity: E (N)=E (N-1)-P (N) dt, abandoning electricity is: EDIS (N)=0.
Further, the second situation P in described step S4W(N)≥GSL-P0It is divided into again two kinds of situations:
CASE4:E (N-1)-P (N) dt≤0, i.e. goes up the battery capacity in a moment and deducts the power of this period accumulator and take advantage of Being less than or equal to 0, then n-hour residual capacity: E (N)=0 with the difference of time interval, abandoning electricity is: EDIS (N)=0；
CASE5:E (N-1)-P (N) dt ＞ 0, i.e. goes up the battery capacity in a moment and deducts the power of this period accumulator and take advantage of With time interval sum not less than rated capacity, then n-hour residual capacity: E (N)=E (N-1)-P (N) dt, abandoning electricity is: EDIS (N)=0.
Further, described step S6 calculates the method for deep charge and discharge number of times TDIS and is: definition state-of-charge SOC, charged shape The expression formula of state is:Defining deep charge and discharge number of times TDIS, i.e. energy storage battery from SOC is 0 to SOC to be 1 Process is denoted as once deep charge and discharge process, and deep charge and discharge number of times TDIS calculation procedure is as follows:
(1) set vector L1, extract the most in order 0 and the 1 of SOC and deposit in L1；
(2) XOR is sought in L1 pointwise, result is deposited in vector L2；
(3) to vector L2 summation, result is deep charge and discharge number of times, it may be assumed that
Further, in described step S2, the residual capacity of CASE3 state is: E (N)=E (N-1), abandons electricity expression formula For: EDIS (N)=0.
Further, described generation schedule upper limit GSH is the 70% of wind energy turbine set/photovoltaic plant rated power, generation schedule Lower limit GSL is the 30% of wind energy turbine set/photovoltaic plant rated power.
Beneficial effects of the present invention:
1, the calculation optimization method of the present invention is from the mathematical model of wind-powered electricity generation, photovoltaic and energy storage, in conjunction with electrical network for newly The actual requirement of the energy, combines together the control characteristic going out fluctuation and energy storage device of wind energy turbine set, photovoltaic plant, is meeting Follow the tracks of under the requirement that electrical network plan is exerted oneself, optimize the capacity configuration size obtaining energy storage device, engineering has higher practicality It is worth, is conducive to grasping wind-powered electricity generation or the wave characteristic of photovoltaic generation comprehensively；
2, the calculation optimization method of the present invention can fully excavate wind-powered electricity generation+energy storage, photovoltaic+energy storage and wind-powered electricity generation+photovoltaic+storage The matching relationship of energy, builds rational wind-powered electricity generation+energy storage, photovoltaic+energy storage and the proportioning mode of wind-powered electricity generation+photovoltaic+energy storage, thus is big Power promotes electrical network and lays a good foundation the receiving ability of regenerative resource.
Below with reference to accompanying drawing, the technique effect of design, concrete structure and the generation of the present invention is described further, with It is fully understood from the purpose of the present invention, feature and effect.
Accompanying drawing explanation
Fig. 1 is the optimized algorithm flow chart of the present invention.
Fig. 2 is the deep charge and discharge number of times explanation schematic diagram of the present invention.
Fig. 3 is that the different stored energy capacitance condition leeward electricity storage stations of the present invention abandon wind rate analysis chart.
Fig. 4 be the present invention different stored energy capacitances under the conditions of energy-accumulating power station deep discharge and recharge number of times figure.
Detailed description of the invention
As it is shown in figure 1, the invention provides a kind of energy storage method for optimizing configuration exerted oneself based on tracking plan, first, originally Invention is based on following mathematical model:
(1) wind-power electricity generation model
Influence factor suffered by the output of wind-driven generator is numerous, ignores secondary cause, is only attributed to by wind The impact of speed, then the expression formula that Wind turbines is exerted oneself is as follows:
In formula: PWActivity of force is gone out for Wind turbines；
viFor incision wind speed；
voFor cut-out wind speed；
VRFor rated wind speed；
PRFor rated power.
(2) solar energy power generating model
For ease of engineer applied, the output of photovoltaic module can use simplified model as described below, it is believed that photovoltaic cell Exert oneself only with solar radiation value is relevant with ambient temperature, formula is as follows:
In formula: PPVFor the output power from photovoltaic cells；
GACFor intensity of illumination；
PstdFor the full test power under standard test condition；
GstdFor the intensity of illumination under standard test condition；
K is temperature power coefficient；
Tc is photovoltaic cell operating temperature；
Tr is reference temperature.
(3) energy storage device model
Energy storage device in dump energy and the accumulator of t in the dump energy in t-1 moment, [t-1, t] period electric power storage Charge-discharge electric power and the electricity attenuation of self in pond are relevant.Its charging and discharging process mathematic(al) representation is expressed as follows:
During charging, PS(t) >=0, E (t)=(1-σ) E (t-1)+ηcPS(t)Δt (3)
During electric discharge,
In formula: E (t) is accumulator dump energy at the end of the t period；
PST () is the charge-discharge electric power of accumulator [t-1, t] period；
σ is its self-discharge rate；
ηcFor its charge efficiency；
ηdFor its discharging efficiency；
Δ t is time interval.
For making to simplify, it is considered to ideal situation, i.e. self-discharge rate σ are taken as 0, and efficiency for charge-discharge is taken as 100%.Therefore, charging Can be as follows with Unified Expression with discharge process:
E (t)=E (t-1)+PS(t)Δt (5)
According to above-mentioned formula it is found that after having done some idealizations and having assumed, the model of energy storage device is the most clear Understand, present period terminate after dump energy only terminated with a upper period after dump energy and the discharge and recharge of present period Power is relevant, it is therefore necessary to rely on wind energy turbine set and photovoltaic plant meritorious go out force data, battery power and capacity are joined Put and be optimized, to meet requirement of generating electricity by way of merging two or more grid systems.
The restrictive condition of this optimization is as described below:
Constraints includes the constraints of accumulator self and the different constraints controlling target.Accumulator self Constraints has:
(1) restriction of energy storage device charge-discharge electric power,
-PR≤PS(t)≤PR (6)
Wherein-PRNegative sign represent discharge condition.
(2) restriction of energy storage device state-of-charge (state of charge is called for short SOC), state-of-charge (SOC) represents Be the ratio of residual capacity and rated capacity of energy storage device, conventional percent represents, its span is [0,1].Charged The expression formula of state can be designated as:
Wherein, PST () is the charge-discharge electric power of accumulator [t-1, t] period；
SOC is the state-of-charge of energy storage device；
SOCiniInitial state-of-charge for energy storage device；
ERRated capacity for energy storage device.
Energy storage device state-of-charge limits to be had:
SOCmin≤SOC≤SOCmax (8)
The control target of the optimization method of the present invention is wind energy turbine set/light for setting generation schedule bound GSH and GSL, GSH The 70% of overhead utility rated power, GSL is the 30% of wind energy turbine set/photovoltaic plant rated power.When wind energy turbine set/photovoltaic plant is exerted oneself When power is more than GSH, for following the tracks of generation schedule as far as possible, energy-storage battery starts to charge up, but the most likely abandons wind/light；Exert oneself merit When rate is less than GSL, for following the tracks of generation schedule as far as possible, energy-storage battery starts electric discharge；Go out activity of force higher than GSL during GSH, energy storage electricity Chi Ze keeps not charging the state do not discharged.This optimized algorithm is to abandon electricity (wind-powered electricity generation, photovoltaic) rate and deep charge and discharge number of times for examination Target, is optimized and solves.Optimization method details is as follows:
Representing the remaining battery capacity at the end of n-hour with E (N), what EDIS (N) represented this period abandons electricity, abandons electricity The value of amount can be restricted by accumulator rated power and rated capacity.
At the end of n-hour, the SOC expression formula of accumulator is:
SOC (N)=E (N)/E0 (9)
In n-hour, if wind energy turbine set/photovoltaic plant output Pw (N) is more than GSL less than GSH, then energy storage battery is not Need work, neither charge and do not discharge, be CASE3:
N-hour residual capacity is:
E (N)=E (N-1) (10)
Abandoning electricity expression formula is: EDIS (N)=0 (11)
In n-hour, if wind energy turbine set/photovoltaic plant output Pw (N) is more than GSH, then accumulator starts to charge up, and specifically divides Become two kinds of situations:
(1) if PW(N) ＞ GSH+P0
Wind energy turbine set/photovoltaic plant output is more than GSH plus the rated power of energy storage battery, and now accumulator can be with P0Charging, it may be assumed that P (N)=P0 (12)
And can be divided into two kinds of situations:
CASE1:E (N-1)+P (N) dt ＞ E0
The battery capacity in a upper moment adds that the power of this period accumulator is multiplied by time interval sum and exceedes rated capacity, Then n-hour residual capacity:
E (N)=E0 (13)
Abandoning electricity expression formula is: EDIS (N)=(PW(N)-GSH)·dt-(E0-E(N-1)) (14)
CASE2:E (N-1)+P (N) dt≤E0
The battery capacity in a upper moment is multiplied by time interval sum not less than specified appearance plus the power of this period accumulator Amount, then n-hour residual capacity: E (N)=E (N-1)+P (N) dt (15)
Abandoning electricity expression formula is: EDIS (N)=(PW(N)-GSH-P(N))·dt (16)
(2)PW(N)≤GSH+P0
Wind energy turbine set/photovoltaic plant output adds the rated power of energy storage battery, now accumulator less than or equal to GSH Can be with PW(N)-GSH charging, it may be assumed that P (N)=PW(N)-GSH (17)
And can be divided into two kinds of situations:
CASE1:E (N-1)+P (N) dt ＞ E0
The battery capacity in a upper moment adds that the power of this period accumulator is multiplied by time interval sum and exceedes rated capacity, Then n-hour residual capacity:
E (N)=E0 (18)
Abandoning electricity expression formula is: EDIS (N)=(PW(N)-GSH)·dt-(E0-E(N-1)) (19)
CASE2:E (N-1)+P (N) dt≤E0
The battery capacity in a upper moment is multiplied by time interval sum not less than specified appearance plus the power of this period accumulator Amount, then n-hour residual capacity: E (N)=E (N-1)+P (N) dt (20)
Abandoning electricity expression formula is: EDIS (N)=(PW(N)-GSH-P(N))·dt (21)
In n-hour, if Power Output for Wind Power Field Pw (N) is less than GSL, then accumulator starts electric discharge, abandon electricity EDIS (N)= 0.Specifically it is divided into two kinds of situations:
(1)PW(N) ＜ GSL-P0
Wind energy turbine set/photovoltaic plant output deducts the rated power of energy storage battery less than GSL, and now accumulator can be with P0Electric discharge, it may be assumed that
P (N)=P0 (22)
And can be divided into two kinds of situations:
CASE4:E (N-1)-P (N) dt≤0.
The battery capacity in a upper moment deducts the power of this period accumulator and is multiplied by the difference of time interval less than or equal to 0, then N Moment residual capacity:
E (N)=0 (23)
Abandoning electricity is:
EDIS (N)=0 (24)
CASE5:E (N-1)-P (N) dt ＞ 0
The battery capacity in a upper moment deducts the power of this period accumulator and is multiplied by time interval sum not less than specified appearance Amount, then n-hour residual capacity: E (N)=E (N-1)-P (N) dt (25)
Abandoning electricity is:
EDIS (N)=0 (26)
(2)PW(N)≥GSL-P0
Power Output for Wind Power Field deducts the rated power of energy storage battery more than or equal to GSL, and now accumulator can be with GSL- PW(N) electric discharge, it may be assumed that
P (N)=GSL-PW(N) (27)
And can be divided into two kinds of situations:
CASE4:E (N-1)-P (N) dt≤0.
The battery capacity in a upper moment deducts the power of this period accumulator and is multiplied by the difference of time interval less than or equal to 0, then N Moment residual capacity:
E (N)=0 (28)
Abandoning electricity is:
EDIS (N)=0 (29)
CASE5:E (N-1)-P (N) dt ＞ 0
The battery capacity in a upper moment deducts the power of this period accumulator and is multiplied by time interval sum not less than specified appearance Amount, then n-hour residual capacity: E (N)=E (N-1)-P (N) dt (30)
Abandoning electricity is: EDIS (N)=0 (31)
After completing the calculating of all 8760 hours, it can be deduced that abandon electricity WDIS and abandon electricity rate RDIS:
Definition and the calculating of deep charge and discharge number of times need to use state-of-charge SOC, and the expression formula of state-of-charge is:
The definition of deep charge and discharge number of times is, energy storage battery from SOC be 0 to SOC be 1 process be denoted as once deep charge and discharge Journey, but shape as from SOC be 0 to SOC be 0.5 then disregard to the process that SOC is 0 again including.It is briefly described with schematic diagram 2, though So battery has that repeatedly to reach SOC be 0 and SOC to be the state of 1, but deep charge and discharge number of times only has 2 times.
The calculation procedure of deep charge and discharge number of times is as follows:
1, if vector L1, extract the most in order 0 and the 1 of SOC and deposit in L1；
2, XOR is sought in L1 pointwise, result is deposited in vector L2；
3, to vector L2 summation, result is deep charge and discharge number of times.That is:
The concrete application example of the one of the present invention is as follows:
The situation of exerting oneself that wind-powered electricity generation according to certain wind energy turbine set 99MW is installed 1 year, carries out stored energy capacitance proportioning analysis and calculating. In 1 year, if not considering to abandon wind measure, current period wind energy turbine set exert oneself as 318946MWh, be converted into year generating hourage about 3222h.It is calculated energy-storage battery according to above-mentioned optimization method under different capabilities and power condition, abandons the curve of electricity, such as figure Shown in 3.
By Fig. 3, available to draw a conclusion:
(1) under conditions of not configuring energy-storage system, the wind rate of abandoning of wind energy turbine set is about 16.7%, abandons electricity and is about 53264MWh。
(2) under conditions of same stored energy capacitance, along with the increase of energy-storage system power, abandon wind rate and progressively decline, finally Tend towards stability.
(3) along with the increase of energy storage system capacity, corresponding the stablizing of wind energy turbine set is abandoned wind rate and is gradually reduced.Considering 100MWh Under the conditions of the energy storage of capacity, the wind rate of abandoning of system drops to 11.6%, about declines 5 percentage points, and fall is relatively limited.
On the other hand, the life-span of energy-storage battery is decided by repeated charge number of times, and the configuration of energy storage system capacity power should While wind rate is abandoned in reduction, guarantee that system deep discharge and recharge number of times is in the range of reasonably.Calculate energy-storage battery at different capabilities and The curve of deep discharge and recharge number of times under power condition, as shown in Figure 4.
By Fig. 4, available to draw a conclusion:
(1) under conditions of same stored energy capacitance, along with the increase of energy-storage system power, deep discharge and recharge number of times increases, Tend to a certain stationary value eventually.
(2) along with the increase of energy storage system capacity, what energy-accumulating power station was corresponding stablize deep discharge and recharge number of times progressively reduces.Consider The energy storage device of 10MWh, 50MWh, 100MWh capacity, the year deep discharge and recharge number of times of system stability respectively may be about 510 times, 280 times, 200 times.
(3), under conditions of energy-storage battery capacity is 25MW × 1.2h, the year deep discharge and recharge number of times of energy-storage battery is about 210 Secondary, reduce about 60% under relatively 10MWh capacity conditions.
The above analysis, owing to the undulatory property of wind power output is relatively big, system is abandoned electricity rate and is subtracted by the increase of stored energy capacitance Few effect is limited, and the capacity configuration of energy-storage battery is unsuitable too high.After proposed arrangement energy storage device, the wind rate of abandoning of wind energy turbine set is less than 15%, according to curve result of calculation, 20MWh or 30MWh stored energy capacitance can be used.By stored energy capacitance with abandon wind rate relation curve The curve of corresponding 20MWh, 30MWh, it can be seen that energy-storage battery power flex point occurs at about 25MW, is abandoned wind rate downward trend and is become In stable, energy-storage battery power takes 25MW and can get preferable technical specification benefit, and therefore the capacity of this engineering energy-storage battery takes Value can be 25MW*0.8h (20MWh) or 25MW*1.2h (30MWh).But according to stored energy capacitance and energy-storage battery deep discharge and recharge number of times Curve understands, and 20MWh scheme deep discharge and recharge number of times is close to 300 times/year, much larger than 30MWh scheme (210 times/year), from energy storage electricity The pond life-span considers, it is proposed that the capacity value 25MW × 1.2h (30MWh) of energy-storage battery.
According to above-mentioned optimized algorithm and sample calculation analysis, it can be seen that the present invention based on wind-powered electricity generation, photovoltaic and energy storing and electricity generating model, Proposing a kind of energy storage method for optimizing configuration exerted oneself based on tracking plan, the method considers energy-storage battery power and the pact of capacity Bundle condition, abandons electricity rate and discharge and recharge number of times using energy storage and obtains abandoning of correspondence respectively as object function, use pointwise enumerative technique The indexs such as electricity, battery deep charge and discharge number of times, finally draw energy storage power and the optimal value of capacity of recommendation.This calculation optimization method In engineering, there is higher practical value, be conducive to grasping wind-powered electricity generation or the wave characteristic of photovoltaic generation, this software energy simultaneously comprehensively Enough fully excavate wind-powered electricity generation+energy storage, photovoltaic+energy storage and the matching relationship of wind-powered electricity generation+photovoltaic+energy storage, build rational wind-powered electricity generation+storage Energy, photovoltaic+energy storage and the proportioning mode of wind-powered electricity generation+photovoltaic+energy storage, thus be to promote the electrical network receiving energy to regenerative resource energetically Power is laid a good foundation.
The preferred embodiment of the present invention described in detail above.Should be appreciated that those of ordinary skill in the art without Need creative work just can make many modifications and variations according to the design of the present invention.Therefore, all technology in the art Personnel are available by logical analysis, reasoning, or a limited experiment the most on the basis of existing technology Technical scheme, all should be in the protection domain being defined in the patent claims.

Claims (8)

1. the energy storage method for optimizing configuration exerted oneself based on tracking plan, it is characterised in that comprise the following steps:
S1, setting generation schedule bound GSH and GSL, read wind energy turbine set/photovoltaic plant output Pw (N), battery volume simultaneously Constant volume E0, the rated power P of energy storage battery0, it is judged that Pw (N) and the magnitude relationship of GSH, GSL；
S2, in n-hour, if wind energy turbine set/photovoltaic plant output Pw (N) less than GSH more than GSL, then energy storage battery is not Needing work, neither charge and do not discharge, this state is calculated as CASE3；
S3, in n-hour, if wind energy turbine set/photovoltaic plant output Pw (N) is more than GSH, then accumulator starts to charge up, and specifically divides Become two kinds of situations:
(1) if PW(N) ＞ GSH+P0, i.e. wind energy turbine set/photovoltaic plant output adds the specified merit of energy storage battery more than GSH Rate, now accumulator can be with P0Charging, it may be assumed that P (N)=P0；
(2) if PW(N)≤GSH+P0, i.e. wind energy turbine set/photovoltaic plant output adds the volume of energy storage battery less than or equal to GSH Determining power, now accumulator can be with PW(N)-GSH charging, it may be assumed that P (N)=PW(N)-GSH；
S4, in n-hour, if Power Output for Wind Power Field Pw (N) is less than GSL, then accumulator starts electric discharge, abandon electricity EDIS (N)= 0, specifically it is divided into two kinds of situations:
(1) if PW(N) ＜ GSL-P0, wind energy turbine set/photovoltaic plant output deducts the rated power of energy storage battery less than GSL, Now accumulator can be with P0Electric discharge, it may be assumed that P (N)=P0；
(2) if PW(N)≥GSL-P0, Power Output for Wind Power Field deducts the rated power of energy storage battery more than or equal to GSL, now Accumulator can be with GSL-PW(N) electric discharge, it may be assumed that P (N)=GSL-PW(N)；
S5, after completing the calculating of all 8760 hours, it can be deduced that abandon electricity WDIS and abandon electricity rate RDIS, wherein
S6, calculate deep charge and discharge number of times TDIS.
A kind of energy storage method for optimizing configuration exerted oneself based on tracking plan the most according to claim 1, it is characterised in that institute State the first situation P in step S3W(N) ＞ GSH+P0It is divided into again two kinds of situations:
CASE1:E (N-1)+P (N) dt ＞ E0, i.e. go up the battery capacity in a moment and add when the power of this period accumulator is multiplied by Between be spaced sum exceed rated capacity, then n-hour residual capacity: E (N)=E0, abandoning electricity expression formula is: EDIS (N)=(PW (N)-GSH)·dt-(E0-E(N-1))；
CASE2:E (N-1)+P (N) dt≤E0, the battery capacity in a upper moment is multiplied by the time plus the power of this period accumulator Interval sum not less than rated capacity, then n-hour residual capacity: E (N)=E (N-1)+P (N) dt, abandoning electricity expression formula is: EDIS (N)=(PW(N)-GSH-P(N))·dt。
A kind of energy storage method for optimizing configuration exerted oneself based on tracking plan the most according to claim 1, it is characterised in that institute State the second situation P in step S3W(N)≤GSH+P0It is divided into again two kinds of situations:
CASE1:E (N-1)+P (N) dt ＞ E0, i.e. go up the battery capacity in a moment and add when the power of this period accumulator is multiplied by Between be spaced sum exceed rated capacity, then n-hour residual capacity: E (N)=E0, abandoning electricity expression formula is:
EDIS (N)=(PW(N)-GSH)·dt-(E0-E(N-1))；
CASE2:E (N-1)+P (N) dt≤E0, i.e. go up the battery capacity in a moment and add when the power of this period accumulator is multiplied by Between be spaced sum not less than rated capacity, then n-hour residual capacity: E (N)=E (N-1)+P (N) dt, abandon electricity expression formula For: EDIS (N)=(PW(N)-GSH-P(N))·dt。
A kind of energy storage method for optimizing configuration exerted oneself based on tracking plan the most according to claim 1, it is characterised in that institute State the first situation P in step S4W(N) ＜ GSL-P0It is divided into again two kinds of situations:
CASE4:E (N-1)-P (N) dt≤0, i.e. goes up the battery capacity in a moment and deducts the power of this period accumulator when being multiplied by Between the difference at interval less than or equal to 0, then n-hour residual capacity: E (N)=0, abandoning electricity is: EDIS (N)=0；
CASE5:E (N-1)-P (N) dt ＞ 0, i.e. goes up the battery capacity in a moment and deducts the power of this period accumulator when being multiplied by Between be spaced sum not less than rated capacity, then n-hour residual capacity: E (N)=E (N-1)-P (N) dt, abandoning electricity is: EDIS (N)=0.
A kind of energy storage method for optimizing configuration exerted oneself based on tracking plan the most according to claim 1, it is characterised in that institute State the second situation P in step S4W(N)≥GSL-P0It is divided into again two kinds of situations:
CASE4:E (N-1)-P (N) dt≤0, i.e. goes up the battery capacity in a moment and deducts the power of this period accumulator when being multiplied by Between the difference at interval less than or equal to 0, then n-hour residual capacity: E (N)=0, abandoning electricity is: EDIS (N)=0；
CASE5:E (N-1)-P (N) dt ＞ 0, i.e. goes up the battery capacity in a moment and deducts the power of this period accumulator when being multiplied by Between be spaced sum not less than rated capacity, then n-hour residual capacity: E (N)=E (N-1)-P (N) dt, abandoning electricity is: EDIS (N)=0.
A kind of energy storage method for optimizing configuration exerted oneself based on tracking plan the most according to claim 1, it is characterised in that institute The method stating the step S6 deep charge and discharge number of times TDIS of calculating is: definition state-of-charge SOC, and the expression formula of state-of-charge is:Define deep charge and discharge number of times TDIS, i.e. energy storage battery from SOC be 0 to SOC be 1 process be denoted as once Deep charge and discharge process, deep charge and discharge number of times TDIS calculation procedure is as follows:
(1) set vector L1, extract the most in order 0 and the 1 of SOC and deposit in L1；
(2) XOR is sought in L1 pointwise, result is deposited in vector L2；
(3) to vector L2 summation, result is deep charge and discharge number of times, it may be assumed that
T D I S = Σ n = 1 l e n g t h ( L 2 ) L 2 ( n ) .
A kind of energy storage method for optimizing configuration exerted oneself based on tracking plan the most according to claim 1, it is characterised in that institute Stating the residual capacity of CASE3 state in step S2 is: E (N)=E (N-1), and abandoning electricity expression formula is: EDIS (N)=0.
A kind of energy storage method for optimizing configuration exerted oneself based on tracking plan the most according to claim 1, it is characterised in that institute State that generation schedule upper limit GSH is wind energy turbine set/photovoltaic plant rated power 70%, generation schedule lower limit GSL is wind energy turbine set/photovoltaic The 30% of power station rated power.
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CN107425540A (en) * 2017-06-29 2017-12-01 国网上海市电力公司 A kind of three battery coupled mode integrated energy systems and its Optimization Design
CN108376991A (en) * 2018-02-09 2018-08-07 中国电力科学研究院有限公司 A kind of the complex energy management method and system of new energy power station energy-storage system
CN108376991B (en) * 2018-02-09 2022-07-22 中国电力科学研究院有限公司 Comprehensive energy management method and system for new energy power station energy storage system
CN108879796A (en) * 2018-08-10 2018-11-23 广东电网有限责任公司 Electric power ahead market goes out clear calculation method, system, device and readable storage medium storing program for executing
CN108879796B (en) * 2018-08-10 2021-07-23 广东电网有限责任公司 Electric power day-ahead market clearing calculation method, system, device and readable storage medium
CN109861292A (en) * 2019-03-28 2019-06-07 国网辽宁省电力有限公司经济技术研究院 One kind improving clean energy resource based on multiple-energy-source energy-storage system and dissolves method
CN109861292B (en) * 2019-03-28 2022-05-03 国网辽宁省电力有限公司经济技术研究院 Method for improving clean energy consumption based on multi-energy storage system
CN112288119A (en) * 2019-07-25 2021-01-29 陈盛博 High-granularity energy control algorithm and device of energy storage system
CN110417053A (en) * 2019-07-29 2019-11-05 重庆大学 Meter and the multi-energy system reliability estimation method of integration requirement response
CN113452057A (en) * 2021-08-05 2021-09-28 华北电力大学 Energy storage system optimization method and system based on wind-solar-energy storage combined power station

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