CN109472394A - A kind of economic optimization method and system of energy storage costs and benefits - Google Patents
A kind of economic optimization method and system of energy storage costs and benefits Download PDFInfo
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Abstract
The present invention provides a kind of economic optimization method of energy storage costs and benefits, comprising: obtains energy storage cost of investment and avail information；The energy storage cost of investment and avail information that will acquire using particle swarm algorithm bring preset energy storage into life cycle management in optimization object function and constraint condition, it is calculated, obtains energy storage Optimum Economic benefit in life cycle management in photovoltaic application；The optimization object function and constraint condition are based on energy storage cost of investment and income constructs.Technical solution provided by the invention is up to target with net profit total in energy-storage system life cycle management, analyze the income and expenditure of the energy-storage system in photovoltaic power grid, based on energy storage cost of investment and income, the life cycle management maximization of economic benefit that energy storage is applied in photovoltaic power generation is realized.
Description
Technical field
The present invention relates to power system automation technology fields, and in particular to a kind of economic optimization of energy storage costs and benefits
Method and system.
Background technique
Solar energy large-scale development and is utilized as reply energy crisis and environmental pollution is opened as renewable energy
New approach.But randomness, intermittence as possessed by photovoltaic and can not Accurate Prediction, output be difficult keep stablize,
Configuration energy-storage system is able to achieve effective inhibition to photovoltaic output power, to improve the schedulability of photovoltaic；But current energy storage
Initial outlay is larger, is difficult cost-recovering in a short time, obtains significant profits, so in the long run considering that energy-storage system is complete
Income and cost in life cycle have practical significance.
At present for the research of stored energy application, the configuration of energy-storage system and two side of optimization of operation reserve are mainly concentrated on
Face is determined the operation reserve of energy storage device by incomes such as energy storage arbitrage, stand-by heat and participation frequency modulation；But it is existing to consider that energy storage participates in
Goods marketing, the research for considering that both energy storage construction investment subsidy and photovoltaic power generation subsidy optimize simultaneously are still seldom.
Energy-storage system is at high cost, and there are income unstructured problem in photovoltaic power generation, at the same renewable energy intrinsic intermittence and
The life damage of the uncertain factors such as randomness and energy storage device in the process of running can income and branch to energy-storage system
It impacts out, current research can not also solve net profit and energy storage device operation total in energy-storage system life cycle management
Equilibrium problem between strategy is unable to fully make its maximum revenue in life cycle management using energy-storage system.
Summary of the invention
To solve the above problems, the present invention provides a kind of economic optimization method and system of energy storage costs and benefits, pass through
Based on energy storage cost of investment and income, the optimization object function of costs and benefits and constraint item in energy storage life cycle management are determined
Part realizes the life cycle management maximization of economic benefit that energy storage is applied in photovoltaic power generation using particle swarm optimization algorithm.
A kind of economic optimization method of energy storage costs and benefits, it is improved in that the described method includes:
Obtain energy storage cost of investment and avail information；
The energy storage cost of investment and avail information that will acquire using particle swarm algorithm bring preset energy storage into the full longevity
It in the life period in optimization object function and constraint condition, is calculated, obtains the energy storage in photovoltaic application in week life-cycle
Optimum Economic benefit in phase；
The optimization object function and constraint condition are based on energy storage cost of investment and income constructs.
Preferably, energy storage building of the optimization object function of costs and benefits in life cycle includes:
Based on energy storage cost of investment and income, the microgrid and stock that electricity price subsidy income, photovoltaic and energy storage are constituted are calculated
Income, energy storage profit gained and energy storage cost of investment in life cycle management obtained by marketing；
The microgrid and spot market exchange constituted based on electricity price subsidy income, photovoltaic and energy storage must be taken in, store up
Can in life cycle management profit gained and energy storage cost of investment, determine the optimization mesh of costs and benefits in energy storage life cycle management
Scalar functions.
Preferably, the optimization object function is shown below:
Max f=f1+f2+f3-f4
In formula, f1: electricity price subsidy income；f2: the microgrid that photovoltaic is constituted with energy storage must be taken in spot market exchange；
f3: energy storage profit gained in life cycle management,；f4For energy storage cost of investment.
Preferably, the electricity price subsidy takes in f1It is calculated as the following formula:
In formula, the locating period in m: one day, m=1,2 ... 24；T: energy storage uses the time；T is the energy storage service life；csub:
Government's perquisite electricity price；Pdis(m): energy-storage battery m period discharge power；Udis(m): the charged state variable of energy storage m period；
Y1: energy storage is discharged number of days in 1 year；ir: inflation rate；dr: discount rate；
Preferably, the microgrid and spot market exchange that the photovoltaic and energy storage are constituted must take in f2It is counted as the following formula
It calculates:
In formula, csell: sale of electricity electricity price；Ppv(m): m period photovoltaic power generation output power；Pbat: the specified function of energy-storage battery
Rate；Pload(m): workload demand power；ωt: microgrid and spot market transaction control variable；cbuy: energy storage is to spot market power purchase
Electricity price；Y2: one spot market Nian Zhongyu of energy storage transaction number of days；
Preferably, energy storage profit gained f in life cycle management3, it is calculated as the following formula:
In formula, cprice: energy storage interacts electricity price with spot market；Pch(m): energy-storage battery m period charge power；Uch(m):
The discharge condition variable of energy storage m period；Y3: one spot market Nian Zhongyu of energy storage transaction arbitrage number of days；
The energy storage cost input f4Including energy storage fixed investment cost and operation expense, calculated as the following formula:.
In formula, cm: the year operation expense of energy storage unit charge-discharge electric power；Pbat: the rated power of energy-storage battery；
Ebat: energy storage rated capacity；η: energy storage transfer efficiency, 0≤η≤1；Government subsidizes energy storage construction investment；ce: energy storage
Unit capacity cost of investment.
Preferably, the constraint condition includes: power-balance constraint condition, energy storage charge and discharge constraint condition, subsidy electricity price
Constraint condition and photovoltaic output power range；
Wherein, the power-balance constraint condition is shown below:
Pload(m)=Ppv(m)+Pbat(m)+Pbos(m)
In formula, Pload(m): workload demand power；Ppv(m): m period photovoltaic power generation output power；Pbat: energy-storage battery
Rated power；Pbos(m): the microgrid that m period photovoltaic and energy storage are constituted is to spot market power purchase or sale of electricity power, sale of electricity power
It is negative, power purchase is positive.
Wherein, the energy storage charge and discharge constraint condition is as follows:
In formula,Energy storage discharge power minimum value；Energy storage charge power minimum value；Ebat: energy storage rated capacity；
Ebat(m): energy storage m period memory capacity；Energy storage discharge power maximum value；Energy storage charge power minimum value；Pdis
(m): energy-storage battery m period discharge power；Udis(m): the charged state variable of energy storage m period；Pch(m): the energy-storage battery m period
Charge power；Uch(m): the discharge condition variable of energy storage m period；ηD: energy-storage battery discharging efficiency；ηC: energy-storage battery charging effect
Rate；N: charge and discharge limited number of times in energy storage device life cycle management.
Wherein, the subsidy electricity tariff constraint condition is as follows:
In formula,Government is for energy storing and electricity generating perquisite electricity price minimum value；Government is additional for energy storing and electricity generating
Subsidize electricity price maximum value；Minimum value is subsidized in energy storage construction investment；Maximum value is subsidized in energy storage construction investment；csub: political affairs
Mansion perquisite electricity price；Energy storage construction investment is subsidized for government.
Preferably, the energy storage cost of investment that will acquire using particle swarm algorithm and avail information are brought into preset
Energy storage in optimization object function and constraint condition, is calculated in life cycle management, obtains the energy storage in photovoltaic application
Optimum Economic benefit includes: in life cycle management
According to the optimization object function of costs and benefits in energy storage life cycle management, setting particle swarm algorithm initializes ginseng
Number；
Based on the initiation parameter, the position and speed of particle in random initializtion population is evaluated each in the population
The fitness of a particle；
The speed of each particle and position in the population are updated using more new algorithm, by the fitness of each particle
The desired positions lived through with it compare, and replace if being better than history most preferably, otherwise keep, until meeting iteration stopping item
Part terminates iteration, obtains population global optimum and its position；
The population global optimum and its position are that the energy storage is optimal in life cycle in photovoltaic application
Economic benefit.
A kind of economic optimization system of energy storage costs and benefits, comprising: obtain module and computing module；
Obtain module: for obtaining energy storage cost of investment and avail information；
Computing module: energy storage cost of investment and avail information for will acquire using particle swarm algorithm are brought into and are preset
Energy storage in optimization object function and constraint condition, calculated in life cycle management, obtain the energy storage in photovoltaic application
In in life cycle management Optimum Economic benefit.
Preferably, in the computing module, the optimization object function is shown below:
Maxf=f1+f2+f3-f4
In formula, f1: electricity price subsidy income；f2: the microgrid that photovoltaic is constituted with energy storage must be taken in spot market exchange；
f3: energy storage profit gained in life cycle management,；f4For energy storage cost of investment；
The constraint condition includes: power-balance constraint condition, energy storage charge and discharge constraint condition, subsidy electricity tariff constraint condition
With photovoltaic output power range.
With immediate prior art ratio, technical solution provided by the invention is had the advantages that
Technical solution provided by the invention, by analyzing the microgrid and show that electricity price subsidy income, photovoltaic and energy storage are constituted
Income, energy storage obtained by goods marketing in the mutual restricting relation in life cycle management between profit gained, energy storage cost of investment,
Between guarantee energy storage, user, spot market three in the case where optimal scheduling state, realize energy-storage system in photovoltaic application
Maximization of economic benefit in life cycle management.
Technical solution provided by the invention, establish in energy storage life cycle management the optimization object function of costs and benefits and
Constraint condition, using particle swarm optimization algorithm, it is easy to accomplish, can fast convergence, optimization precision it is high.
Detailed description of the invention
Fig. 1 is the schematic diagram of the economic optimization method of energy storage costs and benefits of the present invention；
Fig. 2 is the economic optimization block diagram in photovoltaic power grid of the present invention based on energy storage overall life cycle cost and income；
Fig. 3 is the schematic diagram of the economic optimization system of energy storage costs and benefits of the present invention.
Specific embodiment
For a better understanding of the present invention, following will be combined with the drawings in the embodiments of the present invention, in the embodiment of the present invention
Technical solution be clearly and completely described.
Embodiment one,
The schedulability and utilization rate of photovoltaic power generation can be improved in the introducing of energy-storage system, in actual operation, for same
For one photovoltaic power generation field, stored energy capacitance is bigger, and the corresponding depth of discharge of same discharge capacity is more shallow, caused by the energy storage service life
Damage smaller, operation expense is also just smaller, but energy storage investment construction cost also will increase；Further, since stored energy capacitance
Increase, the abandoning light rate of photovoltaic generating system also can decrease, also will increase to spot market electricity sales amount, be conducive to improve light
Utilization rate is lied prostrate, to improve photovoltaic DC field economic benefit.Therefore, optimal from economic cost under the conditions of same charge and discharge
From the point of view of angle, battery capacity increases, and cost of investment increases, and operation expense reduces, selling between energy storage and spot market
Electric income also increased, and vice versa.
In photovoltaic power generation application, there are restricting relations between energy-storage system each section revenue and costs, therefore, to target
In the searching process of function, correlation between the two is considered, obtain energy storage in life cycle management when economic benefit maximum
Capacity configuration result and the optimal discharge and recharge of energy storage and charge and discharge opportunity.
A kind of economic optimization method of energy storage costs and benefits, as shown in Figure 1, which comprises
Step 1: obtaining energy storage cost of investment and avail information；
Step 2: the energy storage cost of investment and avail information that will acquire using particle swarm algorithm bring preset energy storage into
It in life cycle management in optimization object function and constraint condition, is calculated, obtains the energy storage in photovoltaic application complete
Optimum Economic benefit in life cycle；
The optimization object function and constraint condition are based on energy storage cost of investment and income constructs.
Step 1: obtaining energy storage cost of investment and avail information；
Step 2: the energy storage cost of investment and avail information that will acquire using particle swarm algorithm bring preset energy storage into
It in life cycle management in optimization object function and constraint condition, is calculated, obtains the energy storage in photovoltaic application complete
Optimum Economic benefit in life cycle, as shown in Figure 2, comprising:
Specifically, it is determined that the optimization object function of costs and benefits includes: in energy storage life cycle management
Based on energy storage cost of investment and income, the microgrid and stock that electricity price subsidy income, photovoltaic and energy storage are constituted are calculated
Income, energy storage profit gained and energy storage cost of investment in life cycle management obtained by marketing；
The microgrid and spot market exchange constituted based on electricity price subsidy income, photovoltaic and energy storage must be taken in, store up
Can in life cycle management profit gained and energy storage cost of investment, determine the optimization mesh of costs and benefits in energy storage life cycle management
Scalar functions.
Specifically, the optimization object function is shown below:
Maxf=f1+f2+f3-f4
In formula, f1: electricity price subsidy income；f2: the microgrid that photovoltaic is constituted with energy storage must be taken in spot market exchange；
f3: energy storage profit gained in life cycle management；f4For energy storage cost of investment.
Wherein, the electricity price subsidy takes in f1It is calculated as the following formula:
In formula, the locating period in m: one day, m=1,2 ... 24；T: energy storage uses the time；T is the energy storage service life；csub:
Government's perquisite electricity price；Pdis(m): energy-storage battery m period discharge power；Udis(m): the charged state variable of energy storage m period；
Y1: energy storage is discharged number of days in 1 year；ir: inflation rate；dr: discount rate；
The microgrid and spot market exchange that the photovoltaic and energy storage are constituted must take in f2It is calculated as the following formula:
In formula, csell: sale of electricity electricity price；Ppv(m): m period photovoltaic power generation output power；Pbat: the specified function of energy-storage battery
Rate；Pload(m): workload demand power；ωt: microgrid and spot market transaction control variable；cbuy: energy storage is to spot market power purchase
Electricity price；Y2: one spot market Nian Zhongyu of energy storage transaction number of days；
Energy storage profit gained f in life cycle management3, it is calculated as the following formula:
In formula, cprice: energy storage interacts electricity price with spot market；Pch(m): energy-storage battery m period charge power；Uch(m):
The discharge condition variable of energy storage m period；Y3: one spot market Nian Zhongyu of energy storage transaction arbitrage number of days；
The energy storage cost input f4Including energy storage fixed investment cost and operation expense, calculated as the following formula:.
In formula, cm: the year operation expense of energy storage unit charge-discharge electric power；Pbat: the rated power of energy-storage battery；
Ebat: energy storage rated capacity；η: energy storage transfer efficiency, 0≤η≤1；Government subsidizes energy storage construction investment；ce: energy storage
Unit capacity cost of investment.
Specifically, the constraint condition includes: power-balance constraint condition, energy storage charge and discharge constraint condition, subsidy electricity price
Constraint condition and photovoltaic output power range.
Wherein, the power-balance constraint condition is shown below:
Pload(m)=Ppv(m)+Pbat(m)+Pbos(m)
In formula, Pload(m): workload demand power；Ppv(m): m period photovoltaic power generation output power；Pbat: energy-storage battery
Rated power；Pbos(m): the microgrid that m period photovoltaic and energy storage are constituted is to spot market power purchase or sale of electricity power, sale of electricity power
It is negative, power purchase is positive.
The energy storage charge and discharge constraint condition is as follows:
In formula,Energy storage discharge power minimum value；Energy storage charge power minimum value；Ebat: energy storage rated capacity；
Ebat(m): energy storage m period memory capacity；Energy storage discharge power maximum value；Energy storage charge power minimum value；Pdis
(m): energy-storage battery m period discharge power；Udis(m): the charged state variable of energy storage m period；Pch(m): the energy-storage battery m period
Charge power；Uch(m): the discharge condition variable of energy storage m period；ηD: energy-storage battery discharging efficiency；ηC: energy-storage battery charging effect
Rate；N: charge and discharge limited number of times in energy storage device life cycle management.
The subsidy electricity tariff constraint condition is as follows:
In formula,Government is for energy storing and electricity generating perquisite electricity price minimum value；Government is additional for energy storing and electricity generating
Subsidize electricity price maximum value；Minimum value is subsidized in energy storage construction investment；Maximum value is subsidized in energy storage construction investment；csub: political affairs
Mansion perquisite electricity price；Energy storage construction investment is subsidized for government.
Specifically, energy storage optimal warp in life cycle management in photovoltaic application is obtained using particle swarm algorithm
Ji benefit include:
According to the optimization object function of costs and benefits in energy storage life cycle management, setting particle swarm algorithm initializes ginseng
Number；
It is initial according to the objective function of the optimization of costs and benefits in the energy storage life cycle management and constraint condition random
The position and speed for changing particle in population, the adaptation of each particle in population described in the Distance evaluation based on particle and each powder
Degree；
The speed of each particle and position in the population are updated using more new algorithm, by the fitness of each particle and its
The desired positions lived through compare, and replace if being better than history most preferably, otherwise keep, until meeting iteration stopping condition, eventually
Only iteration obtains population global optimum and its corresponding position；
The population global optimum and its corresponding position be the energy storage in photovoltaic application in life cycle
Optimum Economic benefit.
Specifically, described, population initiation parameter includes: energy storage charge-discharge electric power, sells power purchase power, population, most
Big speed, Studying factors, inertial factor and iteration stopping condition；The iteration stopping condition includes: default operational precision or most
Big the number of iterations.
Specifically, the more new algorithm is shown below:
In formula, ω: inertia weight；c1: the first positive Studying factors；c2: the second positive Studying factors；r1、r2: between 0 to 1
The random number of even distribution；vi,j(t+1): i-th of particle j ties up speed when t+1 iteration；xi,j(t+1): i-th of particle j ties up t+
Position when 1 iteration；pi,j: the individual of i-th of particle j dimension；pg,j: the global optimum of i-th of particle j dimension.
Embodiment two,
A kind of economic optimization system of energy storage costs and benefits, as shown in figure 3, comprising determining that module and computing module；
Obtain module: for obtaining energy storage cost of investment and avail information；
Computing module: energy storage cost of investment and avail information for will acquire using particle swarm algorithm are brought into and are preset
Energy storage in optimization object function and constraint condition, calculated in life cycle management, obtain the energy storage in photovoltaic application
In in life cycle management Optimum Economic benefit.
Specifically, in the determining module, it is based on energy storage cost of investment and income, determines cost in energy storage life cycle management
Optimization object function with income includes:
Based on energy storage cost of investment and income, the microgrid and stock that electricity price subsidy income, photovoltaic and energy storage are constituted are calculated
Income, energy storage profit gained and energy storage cost of investment in life cycle management obtained by marketing；
The microgrid and spot market exchange constituted based on electricity price subsidy income, photovoltaic and energy storage must be taken in, store up
Can in life cycle management profit gained and energy storage cost of investment, determine the optimization mesh of costs and benefits in energy storage life cycle management
Scalar functions.
Specifically, the optimization object function of costs and benefits is shown below in the energy storage life cycle management:
Maxf=f1+f2+f3-f4
In formula, f1: electricity price subsidy income；f2: the microgrid that photovoltaic is constituted with energy storage must be taken in spot market exchange；
f3: energy storage profit gained in life cycle management,；f4For energy storage cost of investment.
Specifically, the electricity price subsidy takes in f1It is calculated as the following formula:
In formula, the locating period in m: one day, m=1,2 ... 24；T: energy storage uses the time；T is the energy storage service life；csub:
Government's perquisite electricity price；Pdis(m): energy-storage battery m period discharge power；Udis(m): the charged state variable of energy storage m period；
Y1: energy storage is discharged number of days in 1 year；ir: inflation rate；dr: discount rate；
Specifically, the microgrid and spot market exchange that the photovoltaic and energy storage are constituted must take in f2It is counted as the following formula
It calculates:
In formula, csell: sale of electricity electricity price；Ppv(m): m period photovoltaic power generation output power；Pbat: the specified function of energy-storage battery
Rate；Pload(m): workload demand power；ωt: microgrid and spot market transaction control variable；cbuy: energy storage is to spot market power purchase
Electricity price；Y2: one spot market Nian Zhongyu of energy storage transaction number of days；
Specifically, energy storage profit gained f in life cycle management3, it is calculated as the following formula:
In formula, cprice: energy storage interacts electricity price with spot market；Pch(m): energy-storage battery m period charge power；Uch(m):
The discharge condition variable of energy storage m period；Y3: one spot market Nian Zhongyu of energy storage transaction arbitrage number of days；
The energy storage cost input f4Including energy storage fixed investment cost and operation expense, calculated as the following formula:.
In formula, cm: the year operation expense of energy storage unit charge-discharge electric power；Pbat: the rated power of energy-storage battery；
Ebat: energy storage rated capacity；η: energy storage transfer efficiency, 0≤η≤1；Government subsidizes energy storage construction investment；ce: energy storage
Unit capacity cost of investment.
In the determining module, the constraint condition of costs and benefits includes: power-balance constraint in energy storage life cycle management
Condition, energy storage charge and discharge constraint condition, subsidy electricity tariff constraint condition and photovoltaic output power range.
Specifically, the power-balance constraint condition is shown below:
Pload(m)=Ppv(m)+Pbat(m)+Pbos(m)
In formula, Pload(m): workload demand power；Ppv(m): m period photovoltaic power generation output power；Pbat: energy-storage battery
Rated power；Pbos(m): the microgrid that m period photovoltaic and energy storage are constituted is to spot market power purchase or sale of electricity power, sale of electricity power
It is negative, power purchase is positive.
Wherein, the energy storage charge and discharge constraint condition is as follows:
In formula,Energy storage discharge power minimum value；Energy storage charge power minimum value；Ebat: energy storage rated capacity；
Ebat(m): energy storage m period memory capacity；Energy storage discharge power maximum value；Energy storage charge power minimum value；Pdis
(m): energy-storage battery m period discharge power；Udis(m): the charged state variable of energy storage m period；Pch(m): the energy-storage battery m period
Charge power；Uch(m): the discharge condition variable of energy storage m period；ηD: energy-storage battery discharging efficiency；ηC: energy-storage battery charging effect
Rate；N: charge and discharge limited number of times in energy storage device life cycle management.
Wherein, the subsidy electricity tariff constraint condition is as follows:
In formula,Government is for energy storing and electricity generating perquisite electricity price minimum value；Government is additional for energy storing and electricity generating
Subsidize electricity price maximum value；Minimum value is subsidized in energy storage construction investment；Maximum value is subsidized in energy storage construction investment；csub: political affairs
Mansion perquisite electricity price；Energy storage construction investment is subsidized for government.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, although referring to above-described embodiment pair
The present invention is described in detail, those of ordinary skill in the art still can to a specific embodiment of the invention into
Row modification perhaps equivalent replacement these without departing from any modification of spirit and scope of the invention or equivalent replacement, applying
Within pending claims of the invention.
Claims (10)
1. a kind of economic optimization method of energy storage costs and benefits, which is characterized in that the described method includes:
Obtain energy storage cost of investment and avail information；
The energy storage cost of investment and avail information that will acquire using particle swarm algorithm bring preset energy storage into week life-cycle
It in phase in optimization object function and constraint condition, is calculated, obtains the energy storage in photovoltaic application in life cycle management
Optimum Economic benefit；
The optimization object function and constraint condition are based on energy storage cost of investment and income constructs.
2. method as described in claim 1, which is characterized in that the optimization aim of energy storage costs and benefits in life cycle
The building of function includes:
Based on energy storage cost of investment and income, the microgrid and spot market that electricity price subsidy income, photovoltaic and energy storage are constituted are calculated
Exchange must take in, energy storage profit gained and energy storage cost of investment in life cycle management；
The microgrid that is constituted based on electricity price subsidy income, photovoltaic and energy storage and spot market exchange must take in, energy storage exists
Profit gained and energy storage cost of investment in life cycle management, determine the optimization aim letter of costs and benefits in energy storage life cycle management
Number.
3. method as claimed in claim 2, it is characterised in that: the optimization object function is shown below:
Maxf=f1+f2+f3-f4
In formula, f1: electricity price subsidy income；f2: the microgrid that photovoltaic is constituted with energy storage must be taken in spot market exchange；f3: storage
Can in life cycle management profit gained,；f4For energy storage cost of investment.
4. method as claimed in claim 3, which is characterized in that the electricity price subsidy takes in f1It is calculated as the following formula:
In formula, the locating period in m: one day, m=1,2 ... 24；T: energy storage uses the time；T is the energy storage service life；csub: government
Perquisite electricity price；Pdis(m): energy-storage battery m period discharge power；Udis(m): the charged state variable of energy storage m period；Y1:
Energy storage is discharged number of days in 1 year；ir: inflation rate；dr: discount rate；
5. method as claimed in claim 3, which is characterized in that the microgrid and spot market that the photovoltaic is constituted with energy storage are traded
Gained takes in f2It is calculated as the following formula:
In formula, csell: sale of electricity electricity price；Ppv(m): m period photovoltaic power generation output power；Pbat: the rated power of energy-storage battery；Pload
(m): workload demand power；ωt: microgrid and spot market transaction control variable；cbuy: energy storage is to spot market purchase electricity price；Y2:
One spot market Nian Zhongyu of energy storage transaction number of days；
6. method as claimed in claim 3, which is characterized in that energy storage profit gained f in life cycle management3, as the following formula into
Row calculates:
In formula, cprice: energy storage interacts electricity price with spot market；Pch(m): energy-storage battery m period charge power；Uch(m): energy storage m
The discharge condition variable of period；Y3: one spot market Nian Zhongyu of energy storage transaction arbitrage number of days；
The energy storage cost input f4Including energy storage fixed investment cost and operation expense, calculated as the following formula:.
In formula, cm: the year operation expense of energy storage unit charge-discharge electric power；Pbat: the rated power of energy-storage battery；Ebat: energy storage
Rated capacity；η: energy storage transfer efficiency, 0≤η≤1；Government subsidizes energy storage construction investment；ce: energy storage unit capacity
Cost of investment.
7. economic optimization method as described in claim 1, which is characterized in that the constraint condition includes: power-balance constraint item
Part, energy storage charge and discharge constraint condition, subsidy electricity tariff constraint condition and photovoltaic output power range；
Wherein, the power-balance constraint condition is shown below:
Pload(m)=Ppv(m)+Pbat(m)+Pbos(m)
In formula, Pload(m): workload demand power；Ppv(m): m period photovoltaic power generation output power；Pbat: energy-storage battery it is specified
Power；Pbos(m): the microgrid that m period photovoltaic and energy storage are constituted to spot market power purchase or sale of electricity power, sale of electricity power is negative,
Power purchase is positive.
Wherein, the energy storage charge and discharge constraint condition is as follows:
In formula,Energy storage discharge power minimum value；Energy storage charge power minimum value；Ebat: energy storage rated capacity；Ebat
(m): energy storage m period memory capacity；Energy storage discharge power maximum value；Energy storage charge power minimum value；Pdis(m):
Energy-storage battery m period discharge power；Udis(m): the charged state variable of energy storage m period；Pch(m): the energy-storage battery m period charges
Power；Uch(m): the discharge condition variable of energy storage m period；ηD: energy-storage battery discharging efficiency；ηC: energy-storage battery charge efficiency；N:
Charge and discharge limited number of times in energy storage device life cycle management.
Wherein, the subsidy electricity tariff constraint condition is as follows:
In formula,Government is for energy storing and electricity generating perquisite electricity price minimum value；Government is for energy storing and electricity generating perquisite
Electricity price maximum value；Minimum value is subsidized in energy storage construction investment；Maximum value is subsidized in energy storage construction investment；csub: government's volume
Outer subsidy electricity price；Energy storage construction investment is subsidized for government.
8. economic optimization method as described in claim 1, which is characterized in that the energy storage that will acquire using particle swarm algorithm is thrown
Money costs and benefits information brings preset energy storage into life cycle management in optimization object function and constraint condition, carries out
It calculates, obtaining the energy storage, Optimum Economic benefit includes: in life cycle management in photovoltaic application
According to the optimization object function of costs and benefits in energy storage life cycle management, particle swarm algorithm initiation parameter is set；
Based on the initiation parameter, the position and speed of particle, evaluates each grain in the population in random initializtion population
The fitness of son；
The speed of each particle and position in the population are updated using more new algorithm, by the fitness of each particle and its
The desired positions lived through compare, and replace if being better than history most preferably, otherwise keep, until meeting iteration stopping condition, eventually
Only iteration obtains population global optimum and its position；
The population global optimum and its position are Optimum Economic of the energy storage in photovoltaic application in life cycle
Benefit.
9. a kind of economic optimization system of energy storage costs and benefits characterized by comprising obtain module and computing module；
Obtain module: for obtaining energy storage cost of investment and avail information；
Computing module: energy storage cost of investment and avail information for will acquire using particle swarm algorithm bring preset storage into
Can be calculated in life cycle management in optimization object function and constraint condition, obtain the energy storage in photovoltaic application
Optimum Economic benefit in life cycle management.
10. the economic optimization system as described in power 9, which is characterized in that in the computing module, the optimization object function such as following formula
It is shown:
Maxf=f1+f2+f3-f4
In formula, f1: electricity price subsidy income；f2: the microgrid that photovoltaic is constituted with energy storage must be taken in spot market exchange；f3: storage
Can in life cycle management profit gained,；f4For energy storage cost of investment；
The constraint condition includes: power-balance constraint condition, energy storage charge and discharge constraint condition, subsidy electricity tariff constraint condition and light
Lie prostrate output power range.
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