CN117726190A - Shared energy storage economical evaluation method and system based on full life cycle - Google Patents
Shared energy storage economical evaluation method and system based on full life cycle Download PDFInfo
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Abstract
The invention discloses a shared energy storage economical evaluation method and system based on a full life cycle, and belongs to the technical field of power system planning and configuration. The method comprises the following steps: s1, determining an energy storage type and determining system parameters of the energy storage type; s2, constructing a shared energy storage optimal configuration model based on the system parameters, and carrying out capacity optimal configuration on the energy storage type based on the shared energy storage optimal configuration model; and evaluating the method of the optimal configuration to obtain an evaluation result. The model adopts a full life cycle cost theory, and allows the whole energy storage system to maximize economic benefit in the full life cycle.
Description
Technical Field
The invention belongs to the technical field of power system planning and configuration, and particularly relates to a shared energy storage economical evaluation method and system based on a full life cycle.
Background
Along with the implementation of the support policy of the reform of the electric power system in China, the application value and the commercialization development of the energy storage of the power grid are gradually focused and accepted by the market. Energy storage is an important supporting technology for constructing a novel power system mainly based on new energy. The method has become an important means for constructing a new energy and energy storage application mode and solving the problem of new energy consumption. In actual operation, the new energy source supports energy storage, the traditional energy storage mode has short energy storage time and lacks a mature and stable profit mode, and the investment cost of the new energy power station is greatly increased. The shared energy storage provides a new path for energy storage development. The 'sharing' of shared energy storage breaks the limit of the original energy storage application, provides a new path for energy storage development, improves project profitability and shortens investment recovery period. However, the commercial operation mode of the shared energy storage is still in an exploration stage, but the energy storage industry policy of China is still imperfect at present, the risk of the problems born by investors is high, the commercialization process is relatively slow, and therefore, the research of the economic benefit evaluation element of the shared energy storage is also of great significance.
Disclosure of Invention
The invention aims to solve the defects of the prior art, and provides a shared energy storage economical evaluation method and a system based on a full life cycle, which are used for configuration optimization, helping a decision maker determine whether an energy storage system needs to be introduced or not, and determining the optimal selection and construction scale cost of the energy storage system.
In order to achieve the above object, the present invention provides the following solutions: a shared energy storage economical evaluation method based on a full life cycle comprises the following steps:
s1, determining an energy storage type and determining system parameters of the energy storage type;
s2, constructing a shared energy storage optimal configuration model based on the system parameters, and carrying out capacity optimal configuration on the energy storage type based on the shared energy storage optimal configuration model; and evaluating the method of the optimal configuration to obtain an evaluation result.
Further preferably, the energy storage type includes: lithium ion batteries, pumped storage, compressed air storage, carbon lead batteries and vanadium redox flow batteries;
the system parameters include: initial investment cost, annual operation maintenance cost, life, residual value, operation times, discharge depth, cycle efficiency and electricity cost.
Further preferably, the shared energy storage optimizing configuration model includes: objective function and constraint conditions;
the objective function takes the maximum of net profit, including: sharing the full life cycle investment cost of the energy storage power station and sharing the benefits of the energy storage power station;
the constraint conditions include: equality constraints and inequality constraints.
Further preferably, the shared energy storage power station full life cycle investment cost includes: initial investment cost, operation and maintenance cost in a whole life cycle and residual value of the shared energy storage power station;
the initial investment costs include:
C inv ＝C p P+C e E，
wherein C is inv Representing initial investment costs, C p Representing the charge/discharge power cost of a shared energy storage unit, P represents the rated power value of the shared energy storage, C e Representing the unit capacity cost of the shared energy storage, E representing the rated capacity of the shared energy storage;
the operation and maintenance cost in the whole life cycle comprises the following steps:
C ope ＝k r C m P，
wherein C is ope Representing the running maintenance cost, k in the whole life cycle r Representing the calculation coefficient of the whole life cycle, C m Representing annual operation maintenance cost of unit charge and discharge power of shared energy storage;
the shared energy storage power station residual value comprises:
C Rec ＝C inv ×K Rec ，
wherein C is Rec Representing the residual value, K, of a shared energy storage power station Rec Representing the ratio of the plant residual to the initial investment.
Further preferably, the equation convention condition includes: the system balances constraint, energy storage state of charge continuity constraint and energy storage start and end state of charge consistency constraint;
the system balancing constraint includes:
P grid (t)＝P ch (t)+P load (t)-P dis (t)，
wherein P is grid (t) represents the power supply power of the power grid in the period t, P dis (t) represents the discharge power of the shared energy storage to the distribution network in the period t, P ch (t) represents the charging power of the shared energy storage to the distribution network in the period t, P load (t) represents the power load of the distribution network in the period t;
the stored state of charge continuity constraint includes:
wherein S is soc,t+1 Representing the state of charge of the stored energy at time t+1, S soc,t Representing the state of charge of the stored energy at time t; η (eta) c 、η d Respectively representing the charge and discharge efficiency of the energy storage, wherein E represents the rated capacity of the shared energy storage, and delta t represents the state duration time at the moment t;
the energy storage start-end state of charge consistency constraint comprises:
S soc (1)＝S soc (T)，
wherein S is soc (1) And the energy storage initial charge state is represented, and T represents the total period number of one charge and discharge period.
Further preferably, the inequality constraint includes: energy storage charge/discharge state constraints, energy storage charge/discharge power constraints, and energy storage state of charge constraints;
the energy storage charge/discharge state constraint includes:
S dis,t +S ch,t ≤1，
wherein S is ch,t 、S dis,t Respectively representing actual charging and discharging states of the energy storage at the time t, wherein the actual charging and discharging states are 0-1 variable, and 1 represents a charging state; 0 represents a discharge state;
the energy storage charge/discharge power constraint includes:
wherein P is dis Represents the energy storage discharge power, P ch Representing stored charge power;
the energy storage state of charge upper and lower limit constraints include:
0.1E＝S min ≤S soc ≤S max ＝0.9E
wherein E represents the rated capacity of the energy storage power station, S min 、S max Respectively representing the minimum value and the maximum value of the charge state of the stored energy, S soc Representing the stored state of charge.
Further preferably, the method for optimizing configuration is evaluated, and the method for obtaining the evaluation result includes:
and evaluating the method of the optimal configuration by adopting the net gain, the dynamic investment recovery period and the internal gain rate as evaluation indexes to obtain the evaluation result.
The invention also provides a shared energy storage economical evaluation system based on the whole life cycle, which is used for realizing the evaluation method, and comprises the following steps: a first evaluation unit and a second evaluation unit;
the first evaluation unit is used for determining an energy storage type and determining system parameters of the energy storage type;
the second evaluation unit is used for constructing a shared energy storage optimal configuration model based on the system parameters and carrying out capacity optimal configuration on the energy storage type based on the shared energy storage optimal configuration model; and evaluating the method of the optimal configuration to obtain an evaluation result.
Further preferably, the shared energy storage optimizing configuration model includes: objective function and constraint conditions;
the objective function takes the maximum of net profit, including: sharing the full life cycle investment cost of the energy storage power station and sharing the benefits of the energy storage power station;
the constraint conditions include: equality constraints and inequality constraints.
Further preferably, the method for obtaining the evaluation result by the second evaluation unit includes:
and evaluating the method of the optimal configuration by adopting the net gain, the dynamic investment recovery period and the internal gain rate as evaluation indexes to obtain the evaluation result.
Compared with the prior art, the invention has the beneficial effects that:
(1) The model adopts a full life cycle cost theory, and allows the whole energy storage system to maximize economic benefit in the full life cycle.
(2) The model has wide application range and general applicability, is particularly suitable for shared energy storage configuration links, is also suitable for operation optimization links, and particularly only needs to convert cost-effective constitution to a certain operation year/day.
(3) Aiming at the problems of imperfect policy, higher risk bearing by the investor and the like in the energy storage industry in China at present, the model can provide a certain reference on benefit evaluation, and is beneficial to promoting the commercialization process of the energy storage industry.
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In order to more clearly illustrate the technical solutions of the present invention, the drawings that are needed in the embodiments are briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a shared energy storage economical evaluation method based on a full life cycle according to an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Embodiment one:
the shared energy storage economic benefit model thought, mode and model based on the full life cycle cost theory adopted by the invention are described as follows
(1) Planning ideas:
to assess the profitability of a shared energy storage integrated configuration system, the selection of appropriate new energy permeabilities and return on investment for different types of energy storage is critical to profitability. And the new energy power station is considered to increase the power generation quantity and the new energy consumption proportion, so that the net benefit of the shared energy storage is finally maximized. The peak shaving capacity of the power grid can be further enhanced by introducing adjustable resources, namely, sharing the energy storage system. The shared energy storage integrated configuration system stabilizes fluctuation of the power grid load by utilizing reasonable new energy to give permeability, and improves flexibility and stability of the system by reasonably configuring capacity and type of energy storage, reduces total cost of a planning scheme on the premise of simultaneously meeting energy conveying and flexible regulation requirements, and improves net profits of the planning scheme.
(2) Planning mode
The integrated shared energy storage system benefit evaluation model under the long-term planning time scale, namely under the whole life cycle is mainly studied.
Because of considering the distribution characteristics of the regulation capability demands in the novel power system in multiple time scales, a multi-type shared energy storage integrated configuration method for coping with the regulation demands is needed. Considering that the cost benefits of the shared energy storage under different configurations are different, the benefits of the shared energy storage system are also different, so that the benefits of the shared energy storage system of different schemes can be visually seen, and therefore, whether the shared energy storage system is profitable or not is taken as a judgment scheme, and it is important to establish a unified benefit evaluation model of the shared energy storage system.
Specifically, as shown in fig. 1, the embodiment provides a method for evaluating the economical efficiency of shared energy storage based on a full life cycle, which includes the following steps:
s1, determining an energy storage type and determining system parameters of the energy storage type.
Shared energy storage power stations are a flexible energy storage solution that can be tailored to different application scenarios, such as: peak Gu Dianjia utilization, renewable energy smoothing, backup power, power system stability improvement, etc., different schemes are selected according to different energy storage types.
Wherein, energy storage type includes: lithium ion batteries, pumped storage, compressed air storage, carbon-lead batteries, vanadium redox flow batteries and the like; the system parameters include: initial investment cost, annual operation maintenance cost, life, residual value, operation times, discharge depth, cycle efficiency, electricity metering cost and the like.
TABLE 1
The partial system parameters for the different energy storage types are shown in table 1.
S2, constructing a shared energy storage optimal configuration model based on system parameters, and carrying out capacity optimal configuration on the energy storage type based on the shared energy storage optimal configuration model; and evaluating the method of the optimal configuration to obtain an evaluation result.
The shared energy storage optimizing configuration model comprises the following steps: objective function and constraint conditions; to maximize the configured benefit, the benefit is most pronounced, and the objective function takes the maximum of net profit, including: sharing the full life cycle investment cost of the energy storage power station and sharing the benefits of the energy storage power station; the constraint conditions include: equality constraints and inequality constraints.
In this embodiment, the model is expressed as:
maxF 1 ＝f 1 +f 2 +f 3 +C Rec -C inv -C ope ，
wherein f 1 、f 2 、f 3 Respectively representing peak valley arbitrage, shared energy storage power station service management benefits and absorbed new energy benefits; c (C) inv Representing initial investment costs, C ope Representing the running maintenance cost in the whole life cycle, C Rec Representing shared energy storage power plant residuals.
Sharing energy storage power station benefits includes: peak Gu Taoli, shared energy storage power station service management benefits and absorption new energy benefits.
Specifically, the peak Gu Taoli benefit can be estimated by respectively estimating the actual charge and discharge power of the stored energy at the time i, and the estimation modes include:
f 1 ＝DS 1 k r ，
wherein D represents the number of days of operation of the energy storage year, k r Representing the full life cycle calculation coefficient, S 1 Representing peak valley fill benefit.
Wherein,
wherein N is T Represents the number of scheduling periods, P ch,t 、P dis,t Respectively representing the actual charge and discharge power of the stored energy at the time t, S ch,t 、S dis,t Respectively represent the actual charge and discharge states of the stored energy at the time t, P time The electricity rate at time t is represented, and Δt represents the state duration at time t.
Wherein T represents the total time period number of one charge and discharge cycle, T r Represents the inflation rate, d r Representing the rate of discount.
The shared energy storage power station service management benefits comprise frequency modulation auxiliary service benefits and peak shaving auxiliary service benefits; the frequency modulation auxiliary service income is obtained through peak regulation reporting capacity calculation; the frequency modulation auxiliary service income is obtained through frequency modulation mileage calculation. The service management benefits of the shared energy storage power station can be evaluated by actually purchasing and selling electric power of the energy storage at the moment i respectively, and the evaluation modes comprise:
f 2 ＝DS 2 k r ，
wherein,
wherein θ (t) represents the unit price of service charge charged by the energy storage power station in the period t, and P ess,b Representing the electricity purchasing power of the energy storage power station in the period t, P ess,s And (5) indicating the electricity selling power of the energy storage power station in the period t.
The absorption of new energy benefits can be evaluated through energy storage charging and discharging efficiency and new energy standby capacity electricity price, and the evaluation modes comprise:
f 3 ＝DS 3 k r ，
wherein,
wherein m represents the electricity price of the new energy Internet surfing contract, and P t new And (5) representing the electric power discarding of the new energy of the shared energy storage power station at the time t.
The total life cycle investment cost of the shared energy storage power station comprises the following steps: initial investment costs, operational maintenance costs over the life cycle, and shared energy storage power plant residuals.
The initial investment costs include:
C inv ＝C p P+C e E，
wherein C is inv Representing initial investment costs, C p Represents the cost of charge/discharge power of a contributing energy storage unit, P represents the rated power value of shared energy storage, C e Representing the cost per unit capacity of the shared storage, E represents the rated capacity of the shared storage.
The operation and maintenance costs in the whole life cycle include:
C ope ＝k r C m P，
wherein C is ope Representing the running maintenance cost, k in the whole life cycle r Representing the calculation coefficient of the whole life cycle, C m Representing the annual operation maintenance cost of unit charge and discharge power of the shared energy storage.
The residual value of the shared energy storage power station can be estimated through the initial investment cost and the ratio coefficient of the residual value of the power station to the initial investment, and the estimation mode comprises the following steps:
C Rec ＝C inv ×K Rec ，
wherein C is Rec Representing the residual value, K, of a shared energy storage power station Rec Representing the ratio of the plant residual to the initial investment.
The equality convention conditions include: system balance constraint, energy storage state of charge continuity constraint, energy storage start-end state of charge consistency constraint and the like.
The system balancing constraints include:
P grid (t)＝P ch (t)+P load (t)-P dis (t)，
wherein P is grid (t) represents the power supply power of the power grid in the period t, P dis (t) represents the discharge power of the shared energy storage to the distribution network in the period t, P ch (t) represents the charging power of the shared energy storage to the distribution network in the period t, P load And (t) represents the power load of the distribution network in the period t.
The stored state of charge continuity constraints include:
wherein S is soc,t+1 Representing the state of charge of the stored energy at time t+1, S soc,t The charge state of the energy storage at the time t is represented, namely the state of the system at the time t+1 is related to the charge and discharge state at the time t; η (eta) c 、η d Respectively representing the charge and discharge efficiency of the energy storage, wherein E represents the rated capacity of the shared energy storage, and delta t represents the state duration time at the moment t;
the energy storage start-end state of charge consistency constraint includes:
S soc (1)＝S soc (T)，
wherein S is soc (1) And the energy storage initial charge state is represented, and T represents the total period number of one charge and discharge period.
Inequality constraints include: energy storage charge/discharge state constraints, energy storage charge/discharge power constraints, and energy storage state of charge constraints;
the energy storage charge/discharge state constraints include:
S dis,t +S ch,t ≤1，
wherein S is ch,t 、S dis,t Respectively representing the actual charge and discharge states of the stored energy at the time t; is a 0-1 variable, wherein 1 represents a state of charge; 0 represents a discharge state.
The energy storage charge/discharge power constraints include:
wherein P is dis Represents the energy storage discharge power, P ch Representing the stored charge power.
The energy storage state of charge upper and lower limit constraints include:
0.1E＝S min ≤S soc ≤S max ＝0.9E
wherein E represents the rated capacity of the energy storage power station, S min 、S max Respectively representing the minimum value and the maximum value of the charge state of the stored energy, S soc Representing the stored state of charge.
In this embodiment, capacity configuration optimization is performed on the shared energy storage system, a cplex solver is called to solve, and a solution result, that is, the energy storage configuration power, capacity, net gain in the shared energy storage life cycle, dynamic investment recovery period and internal gain ratio are used as evaluation indexes to perform benefit evaluation on the method of optimizing configuration, so as to obtain an evaluation result.
Wherein the net benefit comprises:
F 1 ＝S 1 +S 2 +S 3 -C inv -C ope +C rec 。
the dynamic investment recovery period includes:
wherein P is t Indicating dynamic investment recovery period, CI n Represents the inflow of cash in the nth year, CO n The cash outflow amount of the nth year is indicated, and BY indicates the reference yield.
The evaluation criteria were: the dynamic investment recovery period P is calculated t And standard investment recovery period P s A comparison is made. If P t <P s Prescription ofThe scheme is feasible, and the smaller the T is, the better the scheme is; otherwise the solution is not feasible.
The internal profitability includes:
wherein N represents the operation age of the energy storage power station, IRR represents the internal yield, and C n Expressed as net cash flow in the nth year.
The evaluation criteria were: compared with the reference yield BY, if IRR is more than BY, the project scheme is economically feasible; if IRR < BY, the project scheme is not economically viable.
Based on the multi-type shared energy storage integrated application scene, substituting the shared energy storage standby scheme into the system model to obtain a result, carrying out single evaluation or joint evaluation on the obtained result through the shared energy storage economic evaluation index, and screening out the optimal economic scheme based on the evaluation result.
Embodiment two:
the embodiment provides a shared energy storage economical evaluation system based on a full life cycle, which comprises the following components: a first evaluation unit and a second evaluation unit;
the first evaluation unit is used for determining the energy storage type and determining system parameters of the energy storage type.
Shared energy storage power stations are a flexible energy storage solution that can be tailored to different application scenarios, such as: peak Gu Dianjia utilization, renewable energy smoothing, backup power, power system stability improvement, etc., different schemes are selected according to different energy storage types.
Wherein, energy storage type includes: lithium ion batteries, pumped storage, compressed air storage, carbon-lead batteries, vanadium redox flow batteries and the like; the system parameters include: initial investment cost, annual operation maintenance cost, life, residual value, operation times, discharge depth, cycle efficiency, electricity metering cost and the like.
The second evaluation unit is used for constructing a shared energy storage optimal configuration model based on system parameters and carrying out capacity optimal configuration on the energy storage type based on the shared energy storage optimal configuration model; and evaluating the method of the optimal configuration to obtain an evaluation result.
The shared energy storage optimizing configuration model comprises the following steps: objective function and constraint conditions; to maximize the configured benefit, the benefit is most pronounced, and the objective function takes the maximum of net profit, including: sharing the full life cycle investment cost of the energy storage power station and sharing the benefits of the energy storage power station; the constraint conditions include: equality constraints and inequality constraints.
In this embodiment, the model is expressed as:
maxF 1 ＝f 1 +f 2 +f 3 +C Rec -C inv -C ope ，
wherein f 1 、f 2 、f 3 Respectively representing peak valley arbitrage, shared energy storage power station service management benefits and absorbed new energy benefits; c (C) inv Representing initial investment costs, C ope Representing the running maintenance cost in the whole life cycle, C Rec Representing shared energy storage power plant residuals.
Sharing energy storage power station benefits includes: peak Gu Taoli, shared energy storage power station service management benefits and absorption new energy benefits.
Specifically, the peak Gu Taoli benefit can be estimated by respectively estimating the actual charge and discharge power of the stored energy at the time i, and the estimation modes include:
f 1 ＝DS 1 k r ，
wherein D represents the number of days of operation of the energy storage year, k r Representing the full life cycle calculation coefficient, S 1 Representing peak valley fill benefit.
Wherein,
wherein N is T Represents the number of scheduling periods, P ch,t 、P dis,t Respectively representing the actual charge and discharge power of the stored energy at the time t, S ch,t 、S dis,t Respectively represent the actual charge and discharge states of the stored energy at the time t, P time Indicating the electricity price at the time t, delta tThe state duration at time t is indicated.
Wherein T represents the total time period number of one charge and discharge cycle, T r Represents the inflation rate, d r Representing the rate of discount.
The shared energy storage power station service management benefits comprise frequency modulation auxiliary service benefits and peak shaving auxiliary service benefits; the frequency modulation auxiliary service income is obtained through peak regulation reporting capacity calculation; the frequency modulation auxiliary service income is obtained through frequency modulation mileage calculation. The service management benefits of the shared energy storage power station can be evaluated by actually purchasing and selling electric power of the energy storage at the moment i respectively, and the evaluation modes comprise:
f 2 ＝DS 2 k r ，
wherein,
wherein θ (t) represents the unit price of service charge charged by the energy storage power station in the period t, and P ess,b Representing the electricity purchasing power of the energy storage power station in the period t, P ess,s And (5) indicating the electricity selling power of the energy storage power station in the period t.
The absorption of new energy benefits can be evaluated through energy storage charging and discharging efficiency and new energy standby capacity electricity price, and the evaluation modes comprise:
f 3 ＝DS 3 k r ，
wherein,
wherein m represents the electricity price of the new energy Internet surfing contract, and P t new And (5) representing the electric power discarding of the new energy of the shared energy storage power station at the time t.
The total life cycle investment cost of the shared energy storage power station comprises the following steps: initial investment costs, operational maintenance costs over the life cycle, and shared energy storage power plant residuals.
The initial investment costs include:
C inv ＝C p P+C e E，
wherein C is inv Representing initial investment costs, C p Represents the cost of charge/discharge power of a contributing energy storage unit, P represents the rated power value of shared energy storage, C e Representing the cost per unit capacity of the shared storage, E represents the rated capacity of the shared storage.
The operation and maintenance costs in the whole life cycle include:
C ope ＝k r C m P，
wherein C is ope Representing the running maintenance cost, k in the whole life cycle r Representing the calculation coefficient of the whole life cycle, C m Representing the annual operation maintenance cost of unit charge and discharge power of the shared energy storage.
The residual value of the shared energy storage power station can be estimated through the initial investment cost and the ratio coefficient of the residual value of the power station to the initial investment, and the estimation mode comprises the following steps:
C Rec ＝C inv ×K Rec ，
wherein C is Rec Representing the residual value, K, of a shared energy storage power station Rec Representing the ratio of the plant residual to the initial investment.
The equality convention conditions include: system balance constraint, energy storage state of charge continuity constraint, energy storage start-end state of charge consistency constraint and the like.
The system balancing constraints include:
P grid (t)＝P ch (t)+P load (t)-P dis (t)，
wherein P is grid (t) represents the power supply power of the power grid in the period t, P dis (t) represents the discharge power of the shared energy storage to the distribution network in the period t, P ch (t) represents the charging power of the shared energy storage to the distribution network in the period t, P load And (t) represents the power load of the distribution network in the period t.
The stored state of charge continuity constraints include:
wherein S is soc,t+1 Representing the state of charge of the stored energy at time t+1, S soc,t The charge state of the energy storage at the time t is represented, namely the state of the system at the time t+1 is related to the charge and discharge state at the time t; η (eta) c 、η d Respectively representing the charge and discharge efficiency of the energy storage, wherein E represents the rated capacity of the shared energy storage, and delta t represents the state duration time at the moment t;
the energy storage start-end state of charge consistency constraint includes:
S soc (1)＝S soc (T)，
wherein S is soc (1) And the energy storage initial charge state is represented, and T represents the total period number of one charge and discharge period.
Inequality constraints include: energy storage charge/discharge state constraints, energy storage charge/discharge power constraints, and energy storage state of charge constraints;
the energy storage charge/discharge state constraints include:
S dis,t +S ch,t ≤1，
wherein S is ch,t 、S dis,t Respectively representing actual charging and discharging states of the energy storage at the time t, wherein the actual charging and discharging states are 0-1 variable, and 1 represents a charging state; 0 represents a discharge state.
The energy storage charge/discharge power constraints include:
wherein P is dis Represents the energy storage discharge power, P ch Representing the stored charge power.
The energy storage state of charge upper and lower limit constraints include:
0.1E m ＝S min ≤S soc ≤S max ＝0.9E m
wherein E is m Representing the storage capacity of an energy storage power station, S min 、S max Respectively representing the minimum value and the maximum value of the charge state of the stored energy, S soc Representing the stored state of charge.
In this embodiment, capacity configuration optimization is performed on the shared energy storage system, a cplex solver is called to solve, and a solution result, that is, the energy storage configuration power, capacity, net gain in the shared energy storage life cycle, dynamic investment recovery period and internal gain ratio are used as evaluation indexes to perform benefit evaluation on the method of optimizing configuration, so as to obtain an evaluation result.
Wherein the net benefit comprises:
F 1 ＝S 1 +S 2 +S 3 -C inv -C ope +C Rec 。
the dynamic investment recovery period includes:
wherein P is t Indicating dynamic investment recovery period, CI n Represents the inflow of cash in the nth year, CO n The cash outflow amount of the nth year is indicated, and BY indicates the reference yield.
The evaluation criteria were: the dynamic investment recovery period P is calculated t And standard investment recovery period P s A comparison is made. If P t <P s The scheme is feasible, and the smaller the T, the better the scheme; otherwise the solution is not feasible.
The internal profitability includes:
wherein N represents the operation age of the energy storage power station, IRR represents the internal yield, and C n Expressed as net cash flow in the nth year.
The evaluation criteria were: compared with the reference yield BY, if IRR is more than BY, the project scheme is economically feasible; if IRR < BY, the project scheme is not economically viable.
Based on the multi-type shared energy storage integrated application scene, substituting the shared energy storage standby scheme into the system model to obtain a result, carrying out single evaluation or joint evaluation on the obtained result through the shared energy storage economic evaluation index, and screening out the optimal economic scheme based on the evaluation result.
The above embodiments are merely illustrative of the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, but various modifications and improvements made by those skilled in the art to which the present invention pertains are made without departing from the spirit of the present invention, and all modifications and improvements fall within the scope of the present invention as defined in the appended claims.
Claims (10)
1. The shared energy storage economical evaluation method based on the whole life cycle is characterized by comprising the following steps of:
s1, determining an energy storage type and determining system parameters of the energy storage type;
s2, constructing a shared energy storage optimal configuration model based on the system parameters, and carrying out capacity optimal configuration on the energy storage type based on the shared energy storage optimal configuration model; and evaluating the method of the optimal configuration to obtain an evaluation result.
2. The full life cycle based shared energy storage economy assessment method of claim 1, wherein the energy storage type comprises: lithium ion batteries, pumped storage, compressed air storage, carbon lead batteries and vanadium redox flow batteries;
the system parameters include: initial investment cost, annual operation maintenance cost, life, residual value, operation times, discharge depth, cycle efficiency and electricity cost.
3. The method for evaluating the economy of shared energy storage based on the whole life cycle according to claim 1, wherein the shared energy storage optimizing configuration model comprises: objective function and constraint conditions;
the objective function takes the maximum of net profit, including: sharing the full life cycle investment cost of the energy storage power station and sharing the benefits of the energy storage power station;
the constraint conditions include: equality constraints and inequality constraints.
4. A shared energy storage economy assessment method based on a full life cycle according to claim 3, wherein said shared energy storage power station full life cycle investment costs comprise: initial investment cost, operation and maintenance cost in a whole life cycle and residual value of the shared energy storage power station;
the initial investment costs include:
C inv ＝C p P+C e E，
wherein C is inv Representing initial investment costs, C p Representing the charge/discharge power cost of a shared energy storage unit, P represents the rated power value of the shared energy storage, C e Representing the unit capacity cost of the shared energy storage, E representing the rated capacity of the shared energy storage;
the operation and maintenance cost in the whole life cycle comprises the following steps:
C ope ＝k r C m P，
wherein C is ope Representing the running maintenance cost, k in the whole life cycle r Representing the calculation coefficient of the whole life cycle, C m Representing annual operation maintenance cost of unit charge and discharge power of shared energy storage;
the shared energy storage power station residual value comprises:
C Rec ＝C inv ×K Rec ，
wherein C is Rec Representing the residual value, K, of a shared energy storage power station Rec Representing the ratio of the plant residual to the initial investment.
5. A method of evaluating shared energy storage economy based on a full life cycle as claimed in claim 3 wherein said equality contract conditions include: the system balances constraint, energy storage state of charge continuity constraint and energy storage start and end state of charge consistency constraint;
the system balancing constraint includes:
P grid (t)＝P ch (t)+P load (t)-P dis (t)，
wherein P is grid (t) represents the power supply power of the power grid in the period t, P dis (t) represents the discharge power of the shared energy storage to the distribution network in the period t, P ch (t) represents the charging power of the shared energy storage to the distribution network in the period t, P load (t) represents the power load of the distribution network in the period t;
the stored state of charge continuity constraint includes:
wherein S is soc,t+1 Representing the state of charge of the stored energy at time t+1, S soc,t Representing the state of charge of the stored energy at time t; η (eta) c 、η d Respectively representing the charge and discharge efficiency of the energy storage, wherein E represents the rated capacity of the shared energy storage, and delta t represents the state duration time at the moment t;
the energy storage start-end state of charge consistency constraint comprises:
S soc (1)＝S soc (T)，
wherein S is soc (1) And the energy storage initial charge state is represented, and T represents the total period number of one charge and discharge period.
6. A shared energy storage economy assessment method based on a full life cycle according to claim 3, wherein said inequality constraint comprises: energy storage charge/discharge state constraints, energy storage charge/discharge power constraints, and energy storage state of charge constraints;
the energy storage charge/discharge state constraint includes:
S dis,t +S ch,t ≤1，
wherein S is ch,t 、S dis,t Respectively representing actual charging and discharging states of the energy storage at the time t, wherein the actual charging and discharging states are 0-1 variable, and 1 represents a charging state; 0 represents a discharge state;
the energy storage charge/discharge power constraint includes:
wherein P is dis Represents the energy storage discharge power, P ch Representing stored charge power;
the energy storage state of charge upper and lower limit constraints include:
0.1E＝S min ≤S soc ≤S max ＝0.9E
wherein E represents the rated capacity of the energy storage power station, S min 、S max Respectively representing the minimum value and the maximum value of the charge state of the stored energy, S soc Representing the stored state of charge.
7. The method for evaluating the economic efficiency of the shared energy storage based on the whole life cycle according to claim 3, wherein the method for evaluating the optimal configuration comprises the following steps:
and evaluating the method of the optimal configuration by adopting the net gain, the dynamic investment recovery period and the internal gain rate as evaluation indexes to obtain the evaluation result.
8. A shared energy storage economy evaluation system based on a full life cycle for implementing the evaluation method of any one of claims 1-7, comprising: a first evaluation unit and a second evaluation unit;
the first evaluation unit is used for determining an energy storage type and determining system parameters of the energy storage type;
the second evaluation unit is used for constructing a shared energy storage optimal configuration model based on the system parameters and carrying out capacity optimal configuration on the energy storage type based on the shared energy storage optimal configuration model; and evaluating the method of the optimal configuration to obtain an evaluation result.
9. The full life cycle based shared energy storage economy assessment system of claim 8, wherein the shared energy storage optimization configuration model comprises: objective function and constraint conditions;
the objective function takes the maximum of net profit, including: sharing the full life cycle investment cost of the energy storage power station and sharing the benefits of the energy storage power station;
the constraint conditions include: equality constraints and inequality constraints.
10. The shared energy storage economy evaluation system based on a full life cycle according to claim 8, wherein the method for obtaining the evaluation result by the second evaluation unit includes:
and evaluating the method of the optimal configuration by adopting the net gain, the dynamic investment recovery period and the internal gain rate as evaluation indexes to obtain the evaluation result.
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