CN109217293A - A kind of light storage micro-grid system capacity collocation method - Google Patents

A kind of light storage micro-grid system capacity collocation method Download PDF

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CN109217293A
CN109217293A CN201811023139.2A CN201811023139A CN109217293A CN 109217293 A CN109217293 A CN 109217293A CN 201811023139 A CN201811023139 A CN 201811023139A CN 109217293 A CN109217293 A CN 109217293A
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grid
capacity
micro
energy
storage system
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樊晓磊
许洪华
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Beijing Corona Science and Technology Co Ltd
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Beijing Corona Science and Technology Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • H02J3/383
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/62The condition being non-electrical, e.g. temperature
    • H02J2310/64The condition being economic, e.g. tariff based load management
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225Demand response systems, e.g. load shedding, peak shaving
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20End-user application control systems
    • Y04S20/222Demand response systems, e.g. load shedding, peak shaving

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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

A kind of light storage micro-grid system capacity collocation method, the capacity collocation method including photovoltaic generating system and energy-storage system.The present invention is first according to micro-grid system application and grid condition, it determines that micro-grid system is self micro-grid system or grid type micro-grid system, different capacity configuration targets is then formulated according to the characteristic that self light stores up micro-grid system and grid type light storage micro-grid system respectively;Stability and reliability are mainly considered for self micro-grid system, economy is mainly considered for grid type micro-grid system, capacity configuration is carried out based on the energy-storage system under 4 kinds of peak load shifting economic model, two-part rate system price economic model, ancillary service economic model and Demand Side Response economic model economic operation models to the sum of photovoltaic system respectively.The invention can ensure that self light storage micro-grid system capacity meets reliable and stable service condition, grid type light storage micro-grid system capacity meets economical operation condition.

Description

A kind of light storage micro-grid system capacity collocation method
Technical field
The present invention relates to a kind of light to store up micro-grid system capacity collocation method.
Background technique
With the large-scale application of distributed energy, since it has the characteristics that intermittent and fluctuation, to the shadow of power grid Sound increasingly can not be ignored.The appearance of micro-capacitance sensor has well solved the contradiction between distributed energy and power grid, makes distribution Energy output power is controllable, effectively inhibits power rapid fluctuations.With power grid friendly, can flexibly be run with grid-connected off-network it is micro- Network system is using more and more extensive.Micro-grid system is by distributed generation resource, power load, monitoring, protection and automatic makeup It the composition such as sets, contains energy storage device when necessary, be the small size power supplying system that can realize internal power balance substantially.
Micro-grid system is divided into grid type micro-grid system and self micro-grid system according to whether with Power System Interconnection.Self Micro-grid system mainly solve the problems, such as island, remote districts without electric;Grid type micro-grid system can grid-connected and off-grid operation, power grid Micro-grid system operates in grid-connect mode when normal, and electric network fault time storage micro-grid system is switched to off-network mode, provides micro- The voltage and frequency of network system guarantee system internal loading electricity consumption reliability.Due to grid type micro-grid system and self microgrid System has different applicable scenes, therefore has different capacity configuration schemes.Light storage micro-grid system be comprising photovoltaic system and The micro-grid system of energy-storage system.
For self micro-grid system, Guo Li etc. is delivered on 2 5th, 2014 Proceedings of the CSEEs paper " the multi-objection optimization planning design method of independent microgrid system " proposes It unites the Optimization Solution of capacity, but its calculating process is complicated, condition variation fluctuation will lead to calculated result mistake when project actual motion Difference is larger.For grid type micro-grid system, it is dynamic that patent 201510254034.8 proposes light storage micro-grid system stored energy capacitance State optimization method adjusts the ratio of energy storage spare capacity and flat volatility capacity according to photovoltaic and load power prediction, It is the operational management after light-preserved system capacity configuration to energy storage, some other patent and paper in matter for grid type microgrid system The dominant eigenvalues of spare capacity and embodying goodwill property when the capacity configuration of system is mainly in view of electric network fault control, without needle The capacity collocation method of different economic models is proposed to different usage scenarios.
Summary of the invention
The purpose of the present invention is overcoming the prior art, a kind of light storage micro-grid system capacity collocation method is proposed.
Light storage micro-grid system of the present invention includes photovoltaic generating system and energy-storage system, stores up micro-capacitance sensor system for light System carries out photovoltaic capacity and stored energy capacitance configuration.First according to micro-grid system application and grid condition, micro-capacitance sensor is determined System is self micro-grid system or grid type micro-grid system, then stores up micro-grid system and grid type according to self light The characteristic of light storage micro-grid system formulates different capacity configuration targets respectively.
Self micro-grid system needs voluntarily to maintain electric power in micro-grid system flat in real time due to not having bulk power grid support Weighing apparatus and electric quantity balancing, capacity configuration mainly consider the stability and reliability of micro-grid system operation.Grid type light stores up micro- electricity Net system is able to maintain that power balance and electric quantity balancing in micro-grid system, therefore grid type light due to there is the support of bulk power grid The capacity configuration of storage system mainly considers the economy of operation.The storage of the light of self micro-grid system and grid type micro-grid system Capacity collocation method difference is as follows:
(1) capacity collocation method of self light storage micro-grid system
1) energy storage system capacity is configured first
Energy storage system capacity configuration needs to consider power balance and electric quantity balancing.
Power balance needs to meet:
cE≥Ploadmax
Electric quantity balancing needs to meet:
DOD×E≥Eex
Wherein, E is energy storage system capacity, and c is energy storage system discharges multiplying power, PloadmaxFor load maximum power, DOD is storage Energy system discharge depth, EexFor load electricity consumption under extreme case.
2) photovoltaic system capacity is then configured
The capacity configuration of photovoltaic system mainly considers electric quantity balancing, needs to meet:
Ppvt≥Etotal
Wherein, PpvFor photovoltaic installed capacity, t is that photovoltaic completely sends out hourage, EtotalIt is micro-grid system internal loading at one Whole electricity consumptions in calculating cycle, calculating cycle are generally 1 day.
(2) grid type light stores up micro-grid system capacity collocation method
Grid type micro-grid system due to there is a support of bulk power grid, photovoltaic system can " remaining electricity online of generating power for their own use ", because The capacity of this photovoltaic system is mainly limited by ground resource condition, transformer capacity and initial outlay.
Therefore, the capacity configuration target of photovoltaic system are as follows:
Ppv=min { A/Apv, 25% × S, Ct/E}
Wherein, PpvFor photovoltaic system capacity, A is that photovoltaic system can utilize area, ApvFor unit capacity photovoltaic system footprint Area, S are upper level transformer capacity, CtFor photovoltaic system initial outlay, E is unit capacity photovoltaic system cost.
The capacity configuration target of energy-storage system be mainly system operation economy, have based on peak load shifting economic model, Based on two-part rate system price economic model, based on ancillary service economic model and based on 4 kinds of capacity such as Demand Side Response economic models Configuration mode.
Refer to that energy-storage system charges in electricity price low-valley interval based on peak load shifting economic model, discharges in electricity price peak period It is used for load, realizes that load enjoys low-valley interval electricity price in electricity price peak period electricity consumption by the electricity transfer of energy-storage system, The economic model of using electricity wisely cost.Referred to based on two-part rate system price economic model and is subtracted using energy-storage system in peak of power consumption electric discharge Few maximum demand, saves the economic model of basic charge as per installed capacity.Economic model based on ancillary service refers to energy-storage system according to electric power Mechanism scheduling provides ancillary service and the economic model of compensation income that obtains.Refer to user based on Demand Side Response economic model Demand Side Response is participated in, load energy demand is met by energy-storage system according to agreement abatement load, grid company is to user It is subsidized, obtains the economic model of power grid subsidy.
1) it is based on peak load shifting economic model
Energy storage system capacity configuration should meet under this mode:
E=(E1-αPpvTpv)/DOD
Wherein, E is energy storage system capacity, E1For user's peak period electricity consumption, PpvFor photovoltaic system installed capacity, TpvFor Local illumination resource peak value is completely sent out in hourage (day), and α is that corresponding photovoltaic power generation quantity accounts for whole day generated energy in electricity price peak period Ratio, DOD be energy storage system discharges depth.
2) it is based on two-part rate system price economic model, under this mode:
f2=aPL-Em
f2To work as f based on two-part rate system price energy storage income2When value maximum, corresponding energy storage system capacity is to meet two The energy-storage system optimum capacity of electricity price economic model processed.
E=max { P/C, Pt/DOD }
Wherein, E is energy storage system capacity, and P is the load maximum demand for needing to cut down, and C is energy storage system discharges multiplying power, t For maximum demand duration (h) in monthly load, a is local maximum demand electricity price, and L is energy-storage system cycle life (moon), m are energy-storage system unit capacity cost (member/kWh).
3) it is based on ancillary service economic model, under this mode:
f3=aE1-Em
f3For the energy-storage system economic well-being of workers and staff based on electric power ancillary service.Work as f3When value maximum, corresponding energy-storage system holds Amount is the energy-storage system optimum capacity for meeting ancillary service economic model.
E1=E × DOD × L × η
Wherein, E1For the electricity stored in energy-storage system lifetime, E is energy storage system capacity, and L is that energy-storage system recycles the longevity It orders (secondary), η is energy-storage system efficiency.
4) it is based on Demand Side Response economic model, under this mode:
f4=akP4-Em
f4For Demand Side Response income.Work as f4Corresponding energy storage system capacity is meet demand side response warp when value maximum The energy-storage system optimum capacity of Ji mode.
P4=max { C2E,E×DOD×η/t4}
Wherein, P4Cut down load power, C for Demand Side Response2For maximum discharge-rate, t4When for each Demand Side Response Between.
The present invention can meet storage capacity configuration of the micro-capacitance sensor based on different economic goals of grid type light, meet the storage of self light Capacity configuration of the micro-grid system based on stability requirement.
Detailed description of the invention
Fig. 1 light stores up micro-grid system topological diagram;
Fig. 2 self light stores up micro-grid system capacity configuration flow chart;
Fig. 3 grid type light stores up micro-grid system capacity configuration flow chart.
Specific embodiment
The present invention is further illustrated below in conjunction with the drawings and specific embodiments.
As shown in Figure 1, including photovoltaic generating system, energy-storage system and load using light storage micro-grid system of the invention. The present invention stores up micro-grid system for light and provides capacity collocation method, includes photovoltaic capacity configuration and stored energy capacitance configuration.
Light of the present invention stores up micro-grid system capacity collocation method are as follows:
First according to micro-grid system application and grid condition, determine that micro-grid system is self micro-grid system Or grid type micro-grid system, it is then proposed respectively according to the characteristic of self micro-grid system and grid type micro-grid system solely The different capabilities of vertical type light storage micro-grid system and grid type light storage micro-grid system configure target.
1, self micro-grid system capacity configuration
Self micro-grid system needs to maintain power balance in micro-grid system in real time due to not having bulk power grid to support And electric quantity balancing, capacity configuration mainly consider the stability and reliability of micro-grid system operation.
(1) capacity configuration of energy-storage system
1) power balance
Consider extreme case, when such as night, photovoltaic generation power is zero in micro-grid system, and energy-storage system is individually for load Power supply, therefore energy-storage system maximum discharge power should be greater than equal to load maximum power, and the maximum discharge power of energy-storage system Equal to energy storage system capacity multiplied by energy-storage system maximum discharge-rate:
cE≥Ploadmax (1-1)
Wherein, E is energy storage system capacity;C is energy-storage system maximum discharge-rate;PloadmaxFor load maximum power.
2) electric quantity balancing
Consider under extreme case, such as night, energy storage system discharges amount is greater than equal to load electricity consumption under extreme case:
DOD×E≥Eex (1-2)
Wherein, DOD is energy storage system discharges depth, and E is energy-storage system configuration capacity, EexFor under energy-storage system extreme case Electricity consumption.
(2) photovoltaic system capacity configuration
1) power balance
Due to having been contemplated that energy-storage system individually meets peak load, photovoltaic capacity is not constrained by power balance.
2) electric quantity balancing
In self light storage micro-grid system, power unit has load, and generator unit only has photovoltaic system, energy-storage system For energy-storage units, ideally energy-storage system neither generates electricity nor power consumption.Therefore self light storage micro-grid system considers electricity When amount balance, photovoltaic power generation quantity is equal to load electricity consumption in a calculating cycle, and calculating cycle may be considered as 1 day.
Ppvt≥Etotal (1-3)
Wherein, PpvFor photovoltaic installed capacity, t is that photovoltaic completely sends out hourage, EtotalIt is micro-grid system internal loading at one Whole electricity consumptions in calculating cycle.
Composite type (1-1), (1-2), (1-3) obtain the photovoltaic and the energy storage that meet self light storage micro-grid system demand Minimal configuration capacity.
2, grid type micro-grid system capacity configuration
Micro-grid system is stored up for grid type light, due to there is the support of bulk power grid that can maintain power balance and electricity in system Amount balance, therefore grid type light-preserved system mainly considers economy.In conjunction with current electricity prices policy and related industry policy, light at present Storage micro-capacitance sensor economic operation model has: based on peak load shifting economic model, being based on two-part rate system price economic model, based on auxiliary clothes Be engaged in economic model and be based on Demand Side Response economic model.
Micro-grid system is stored up for grid type light, photovoltaic system can use the mode of " remaining electricity online of generating power for their own use ", light Volt system installed capacity is mainly limited by ground resource condition, transformer capacity and initial outlay.Therefore,
The capacity configuration target of photovoltaic system are as follows:
Ppv=min { A/Apv, 25% × S, Ct/E} (2-1)
Wherein, PpvFor photovoltaic system capacity, A is that photovoltaic system can utilize area, ApvFor unit capacity photovoltaic system footprint Area, S are upper level transformer capacity, CtFor photovoltaic system initial outlay, E is unit capacity photovoltaic system cost.
The capacity configuration goal setting method that the present invention is directed to energy-storage system under above-mentioned 4 kinds of economic models is as follows:
(1) it is based on peak load shifting economic model
Big commercial power carries out time-of-use tariffs system more at present, is divided into peak period electricity price according to the different electricity consumption periods, puts down Section electricity price and low-valley interval electricity price.Peak load shifting economic operation model is that energy-storage system is made to charge in electricity price low-valley interval, in electricity The electric discharge of valence peak period is used for load.It is shifted by energy-storage system electricity, realizes that load is enjoyed in electricity price peak period electricity consumption Low-valley interval electricity price, using electricity wisely cost, peak load shifting economic model income are that peak period electricity price and low-valley interval electricity price are poor.
Based on peak load shifting economic model capacity configuration, first have to judge that peak load shifting income and energy storage degree electricity cost are closed System, when electricity price between peak and valley, which is less than, spends electric cost, local peak load shifting economic model is invalid.When electricity price between peak and valley is greater than degree electricity When cost, energy storage system capacity is configured shown in target such as formula (2-2).
E=(E1-αPpvTpv)/DOD (2-2)
Wherein, E is energy storage system capacity, E1For user's peak period electricity consumption, PpvFor photovoltaic installed capacity, TpvFor locality Illumination resource peak value is completely sent out in hourage (day), and α is the ratio that corresponding photovoltaic power generation quantity accounts for whole day generated energy in electricity price peak period Value, DOD are energy storage system discharges depth.
(2) it is based on two-part rate system price economic model
Two-part rate system price is that the corresponding basic electricity price of capacity and the corresponding electricity price of electricity consumption are combined to decision electricity The system of valence.Two-part rate system price is by the electricity electricity charge, basic charge as per installed capacity, power factor adjustment charge and withholds fund and additional four parts It constitutes, refers to discharge in peak of power consumption using energy-storage system based on two-part rate system price economic model and reduce maximum demand, save base This electricity charge.
Energy storage system capacity configuration target based on two-part rate system price should meet the maximum demand of abatement and cut down maximum need The maximum value for the electricity that the amount duration is put.
E=max { P/C, Pt/DOD } (2-3)
Wherein, E is energy storage system capacity, and P is the load maximum demand for needing to cut down, and C is energy storage system discharges multiplying power, t For the monthly load maximum demand duration (h), DOD is energy storage system discharges depth, is received based on two-part rate system price economic model Shown in benefit such as formula (2-3), f2For based on two-part rate system price energy storage income.Work as f2Corresponding energy storage system capacity is when being maximized Meet the optimum capacity of two-part rate system price economic model.
f2=cPL-Em (2-4)
Wherein, c is local maximum demand electricity price, and L is energy-storage system cycle life (moon), and m is energy-storage system unit capacity Cost.
(3) it is based on ancillary service economic model
Light-preserved system economic model based on ancillary service refers to that light storage energy storage micro-grid system is dispatched according to electric power mechanism The compensation income that ancillary service is provided and is obtained.Such as " southern region electrochemical energy storage electric station grid connection operational management and auxiliary clothes It is engaged in management implementation detailed rules and regulations (tentative) " provide that energy-accumulating power station enters charged state according to power dispatching station instruction, by its offer Charge peak regulation Service Statistics, compensates to charge capacity, and specific compensation standard is 0.05 ten thousand yuan/megawatt hour.
The electricity stored in unit capacity energy-storage system life cycle:
E1=E × DOD × L × η (2-5)
Wherein, E1For the electricity stored in energy-storage system lifetime, E is energy storage system capacity, and L is that energy-storage system recycles the longevity It orders (secondary), η is energy-storage system efficiency.
Energy-storage system economic well-being of workers and staff based on electric power ancillary service is f shown in formula (2-6)3Corresponding storage when being maximized Energy power system capacity is the light-preserved system energy-storage system optimum capacity for meeting ancillary service.
f3=aE1-Em (2-6)
Wherein, f3For the energy-storage system economic well-being of workers and staff based on electric power ancillary service, E1For what is stored in energy-storage system lifetime Electricity, a are the compensation standard (member/kWh) for participating in ancillary service.
(4) it is based on Demand Side Response economic model
Refer to that user participates in Demand Side Response based on Demand Side Response economic model, cuts down load according to agreement, power grid is public Department subsidizes user, stores up energy-storage system in micro-grid system by light and meets load energy demand, obtains power grid subsidy.With For " Jiangsu Province's electricity needs response implementation detailed rules and regulations ", to by the peak load of the provisional reduction of demand response, every thousand Watt subsidy 100 yuan.
Configuration capacity is that the energy-storage system of E can cut down load power under the premise of not influencing load electricity consumption are as follows:
Pdis=max { CE, E × DOD × η/t } (2-7)
Wherein: PdisCutting down load power for Demand Side Response, E is energy storage system capacity, and C is energy storage system discharges multiplying power, DOD is energy storage system discharges depth, and η is energy-storage system efficiency, and t is each Demand Side Response time.
It is the f as shown in formula (2-8) that energy-storage system, which participates in Demand Side Response income,4Corresponding energy-storage system when being maximized Capacity is the light-preserved system optimum capacity of meet demand side response.
f4=akP-Em (2-8)
Wherein: f4For Demand Side Response income, a is different regions Demand Side Response income (member/kWh), and k is year Demand-side Response times, m are energy-storage system unit capacity cost.

Claims (5)

1. a kind of light stores up micro-grid system capacity collocation method, it is characterised in that: the light stores up micro-grid system capacity configuration Method determines that micro-grid system is self micro-grid system or simultaneously first according to micro-grid system application and grid condition Then net type micro-grid system is made respectively according to the characteristic that self light stores up micro-grid system and grid type light storage micro-grid system Fixed different capacity configuration target;Self micro-grid system needs voluntarily to maintain micro- electricity in real time due to not having bulk power grid support Power balance and electric quantity balancing in net system, capacity configuration mainly consider the stability and reliability of micro-grid system operation; Grid type light stores up micro-grid system due to there is the support of bulk power grid, is able to maintain that in micro-grid system that power balance and electricity are flat Weighing apparatus, therefore the capacity configuration of grid type light-preserved system mainly considers the economy of operation.
2. light according to claim 1 stores up micro-grid system capacity collocation method, it is characterised in that: the self light Store up the capacity collocation method of micro-grid system are as follows:
1) energy storage system capacity is configured first
Energy storage system capacity configuration needs to consider power balance and electric quantity balancing;
Power balance needs to meet:
cE≥Ploadmax
Electric quantity balancing needs to meet:
DOD×E≥Eex
Wherein, E is energy storage system capacity, and c is energy storage system discharges multiplying power, PloadmaxFor load maximum power, DOD is energy storage system System depth of discharge, EexFor load electricity consumption under extreme case;
2) photovoltaic system capacity is then configured
The capacity configuration of photovoltaic system mainly considers electric quantity balancing, needs to meet:
Ppvt≥Etotal
Wherein, PpvFor photovoltaic installed capacity, t is that photovoltaic completely sends out hourage, EtotalIt is calculated for micro-grid system internal loading at one Whole electricity consumptions in period, calculating cycle are generally 1 day.
3. light according to claim 1 stores up micro-grid system capacity collocation method, it is characterised in that: the grid type light Micro-grid system is stored up due to having the support of bulk power grid, photovoltaic system " remaining electricity online of generating power for their own use ", therefore the capacity of photovoltaic system Mainly limited by ground resource condition, transformer capacity and initial outlay;The capacity configuration target of energy-storage system predominantly be The economy of system operation has based on peak load shifting economic model, is based on two-part rate system price economic model, based on ancillary service economy Mode and be based on 4 kinds of capacity configuration modes of Demand Side Response economic model;
Refer to that energy-storage system charges in electricity price low-valley interval based on peak load shifting economic model, in the electric discharge of electricity price peak period for negative Lotus uses, and realizes that load enjoys low-valley interval electricity price in electricity price peak period electricity consumption by the electricity transfer of energy-storage system, saves The economic model of electric cost;Referred to based on two-part rate system price economic model and is reduced most using energy-storage system in peak of power consumption electric discharge Big requirement saves the economic model of basic charge as per installed capacity;Economic model based on ancillary service refers to energy-storage system according to electric power mechanism Scheduling provides ancillary service and the economic model of compensation income that obtains;Refer to that user participates in based on Demand Side Response economic model Demand Side Response meets load energy demand by energy-storage system according to agreement abatement load, and grid company carries out user Subsidy obtains the economic model of power grid subsidy.
4. light according to claim 3 stores up micro-grid system capacity collocation method, it is characterised in that: the grid type light It stores up in micro-grid system, the capacity configuration target of photovoltaic system are as follows:
Ppv=min { A/Apv, 25% × S, Ct/E}
Wherein, PpvFor photovoltaic system capacity, A is that photovoltaic system can utilize area, ApvFor unit capacity photovoltaic system footprint area, S is upper level transformer capacity, CtFor photovoltaic system initial outlay, E is unit capacity photovoltaic system cost.
5. light according to claim 3 stores up micro-grid system capacity collocation method, it is characterised in that: the grid type light It stores up in micro-grid system, the capacity collocation method of energy-storage system are as follows:
1) should be met based on energy storage system capacity configuration under peak load shifting economic model:
E=(E1-αPpvTpv)/DOD
Wherein, E is energy storage system capacity, E1For user's peak period electricity consumption, PpvFor photovoltaic system installed capacity, TpvFor locality Illumination resource peak value is completely sent out in hourage (day), and α is the ratio that corresponding photovoltaic power generation quantity accounts for whole day generated energy in electricity price peak period Value, DOD are energy storage system discharges depth;
2) based under two-part rate system price economic model:
f2=aPL-Em
f2To work as f based on two-part rate system price energy storage income2When value maximum, corresponding energy storage system capacity is to meet two -part system electricity The energy-storage system optimum capacity of valence economic model;
E=max { P/C, Pt/DOD }
Wherein, E is energy storage system capacity, and P is the load maximum demand for needing to cut down, and C is energy storage system discharges multiplying power, and t is every Maximum demand duration (h) in month load, a are local maximum demand electricity price, and L is energy-storage system cycle life (moon), and m is Energy-storage system unit capacity cost (member/kWh);
3) based under ancillary service economic model:
f3=aE1-Em
f3For the energy-storage system economic well-being of workers and staff based on electric power ancillary service;Work as f3When value maximum, corresponding energy storage system capacity is Meet the energy-storage system optimum capacity of ancillary service economic model;
E1=E × DOD × L × η
Wherein, E1For the electricity stored in energy-storage system lifetime, E is energy storage system capacity, and L is energy-storage system cycle life (secondary), η are energy-storage system efficiency;
4) based under Demand Side Response economic model:
f4=akP4-Em
f4For Demand Side Response income;Work as f4Corresponding energy storage system capacity is that meet demand side responds economic mould when value maximum The energy-storage system optimum capacity of formula;
P4=max { C2E,E×DOD×η/t4}
Wherein, P4Cut down load power, C for Demand Side Response2For maximum discharge-rate, t4For each Demand Side Response time.
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CN112086978B (en) * 2019-06-13 2023-07-21 苏州震旦科技有限公司 Energy scheduling and control system based on demand side response
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