CN117833290A - New energy fluctuation stabilization-oriented energy storage configuration method and system - Google Patents
New energy fluctuation stabilization-oriented energy storage configuration method and system Download PDFInfo
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Abstract
The invention discloses an energy storage configuration method and system for new energy fluctuation stabilization, belonging to the field of electrical engineering, wherein the method comprises the following steps: establishing a relation between the net cost of unit capacity and an energy storage physical parameter and a relation between the net cost of unit power and the energy storage physical parameter, wherein the energy storage physical parameter comprises the SOC, the service life and the efficiency of energy storage; establishing energy storageThe optimization configuration model participates in the fluctuation stabilization of the new energy output, and comprises an objective function and constraint conditions, wherein the objective function is to enable the energy storage cost C bs Electricity limiting punishment cost C for new energy a And new energy output out-of-limit punishment cost C flu Minimizing constraint conditions including energy storage charge-discharge power constraint and energy storage SOC constraint; and solving the optimal configuration model to obtain the energy storage type selection configuration scheme. The invention realizes the rapid and accurate assessment of the energy storage value, avoids the one-sided performance of energy storage type selection, improves the actual engineering efficiency, and ensures the technical and economical efficiency of the energy storage system configuration under the stabilization of new energy fluctuation.
Description
Technical Field
The invention belongs to the field of electrical engineering, and particularly relates to an energy storage configuration method and system for new energy fluctuation stabilization.
Background
The continuous exhaustion of traditional energy and the increasing ecological protection demands make the development of new energy industry very rapid. Under the strategic background of pushing the construction of the double-carbon targets, high-proportion new energy grid connection becomes one of important measures for constructing a novel power system. However, the new energy power generation has extremely strong randomness and volatility, and large-scale new energy grid connection brings a series of threats and challenges to the safe operation of a power grid, and has higher requirements on aspects of flexibility adjustment, load matching degree, capital investment and the like of a power system. In order to stabilize the output of the new energy station and improve the electric energy quality and the system operation efficiency, the energy storage system with flexible adjustment capability is configured in the new energy station, so that the fluctuation of new energy power generation can be effectively reduced, and the overall operation performance of the system is improved.
With the high-speed development of novel energy storage systems in recent years, the energy storage systems are various in variety and complex in parameters, and each energy storage system has different configuration schemes and application effects in different scenes. Therefore, how to select the energy storage system is very important for application in practical scenes, and proper energy storage can effectively ensure the safety and stability of power grid operation, reduce the system operation cost and improve the practical engineering efficiency.
Disclosure of Invention
Aiming at the defects and improvement demands of the prior art, the invention provides an energy storage configuration method and system for stabilizing fluctuation of new energy, which aims to establish an energy storage configuration method comprehensively considering physical parameters and economic cost of energy storage, avoid dependence on actual scenes during energy storage configuration, solve the problem of one-sided selection of energy storage, and realize rapid and accurate evaluation of energy storage value.
In order to achieve the above object, according to an aspect of the present invention, there is provided an energy storage configuration method for new energy wave stabilization, including:
establishing a relation between the net cost of unit capacity and an energy storage physical parameter and a relation between the net cost of unit power and the energy storage physical parameter, wherein the energy storage physical parameter comprises the SOC, the service life and the efficiency of energy storage;
establishing an optimal configuration model for stabilizing energy storage participation new energy output fluctuation, wherein the optimal configuration model comprises an objective function and constraint conditions, and the objective function is to enable energy storage cost C bs Electricity limiting punishment cost C for new energy a And new energy output out-of-limit punishment cost C flu Minimizing the energy storage cost C bs The method comprises the steps of including capacity cost and power cost, wherein the capacity cost is the product of the net cost of unit capacity and rated capacity, the power cost is the product of the net cost of unit power and rated power, the rated capacity and rated power are to-be-decided quantities, and the constraint conditions comprise energy storage charging and discharging power constraint and energy storage SOC constraint;
and solving the optimal configuration model, and outputting rated capacity and rated power to obtain an energy storage selective configuration scheme.
In one embodiment, the net cost per unit capacity versus SOC is:
wherein B is e To the original unit capacity cost of energy storage, B e_soc The net cost per unit capacity of the stored energy after SOC conversion.
In one embodiment, the net cost per unit capacity is related to the lifetime of the stored energy by:
the relation between the net cost of unit power and the service life of stored energy is as follows:
wherein B is e ,B p For storingThe original cost of unit capacity and unit power, delta is the discount rate, y is the life of energy storage, B e_life Net cost per unit capacity for energy storage after life conversion, B p_life The net cost per unit power of the stored energy after life conversion.
In one embodiment, the net cost per unit capacity versus efficiency is:
the net cost per unit power versus efficiency relationship:
wherein B is e_η Net cost per unit capacity for energy storage after efficiency conversion, B p_η Net cost per unit power, η, of energy storage after efficiency conversion c_base As reference efficiency eta c For energy storage efficiency, B e ,B p The original unit capacity cost and unit power cost are the energy storage.
In one embodiment, establishing a relation between the net cost per unit capacity and the physical parameters of the stored energy and a relation between the net cost per unit power and the physical parameters of the stored energy includes converting the SOC, lifetime, and efficiency parameters of the stored energy to a comprehensive conversion model of the stored energy, the comprehensive conversion model being:
wherein B is e ,B p For storing original singleBit capacity cost and unit power cost, B' e 、B' p The cost of unit capacity and the cost of unit power after the conversion of the physical parameters of energy storage are respectively, beta is the fund conversion coefficient, eta c_base As reference efficiency eta c Delta is the discount rate, and y is the service life of energy storage.
In one embodiment, the energy storage charge-discharge power constraint is:
the energy storage SOC constraint is:
wherein,marking the charge and discharge state of the energy storage system, +.>Charging/discharging power of the energy storage system, +.>Maximum charge and discharge power for energy storage system E bes (t) is the current capacity of the stored energy,maximum and minimum capacities available for energy storage.
According to another aspect of the present invention, there is provided an energy storage configuration system for new energy wave stabilization, comprising:
the first building module is used for building a relation between the net cost of unit capacity and the physical parameters of energy storage and a relation between the net cost of unit power and the physical parameters of energy storage, wherein the physical parameters of energy storage comprise the SOC, the service life and the efficiency of energy storage;
a second building module for building an optimal configuration model for energy storage to participate in the fluctuation stabilization of the new energy output, wherein the optimal configuration model comprises an objective function and constraint conditions, and the objective function is to enable the energy storage cost C bs Electricity limiting punishment cost C for new energy a And new energy output out-of-limit punishment cost C flu Minimizing the energy storage cost C bs The method comprises the steps of including capacity cost and power cost, wherein the capacity cost is the product of the net cost of unit capacity and rated capacity, the power cost is the product of the net cost of unit power and rated power, the rated capacity and rated power are to-be-decided quantities, and the constraint conditions comprise energy storage charging and discharging power constraint and energy storage SOC constraint;
and the solving module is used for solving the optimal configuration model and outputting rated capacity and rated power to obtain an energy storage type selection configuration scheme.
In one embodiment, the net cost per unit capacity is related to SOC by:
wherein B is e To the original unit capacity cost of energy storage, B e_soc The net cost per unit capacity of the stored energy after SOC conversion.
In one embodiment, the net cost per unit capacity is related to the lifetime of the stored energy by:
the relation between the net cost of unit power and the service life of stored energy is as follows:
wherein B is e ,B p The original unit capacity cost and unit power cost of the energy storage are shown, delta is the discount rate, y is the service life of the energy storage, and B e_life Net cost per unit capacity for energy storage after life conversion, B p_life The net cost per unit power of the stored energy after life conversion.
In one embodiment, the net cost per unit capacity versus efficiency is expressed as:
the net cost per unit power versus efficiency relationship:
wherein B is e_η Net cost per unit capacity for energy storage after efficiency conversion, B p_η Net cost per unit power, η, of energy storage after efficiency conversion c_base As reference efficiency eta c For energy storage efficiency, B e ,B p The original unit capacity cost and unit power cost are the energy storage.
In general, through the above technical solutions conceived by the present invention, the following beneficial effects can be obtained:
(1) The energy storage multi-parameter equivalent conversion type selection method is provided, an equivalent mapping relation between the physical parameters of the energy storage and the economic cost is established, the energy storage can be quantitatively analyzed and screened, and the rapid and accurate evaluation of the energy storage value is realized;
(2) The multi-scale energy storage optimization configuration method for the new energy fluctuation stabilization scene is provided, the energy storage multi-parameter equivalent conversion method is embedded into the configuration model to perform energy storage rapid type selection and capacity optimization, the problem of one-sided energy storage type selection caused by improper scene selection in the scene method configuration method is solved, and the configuration scheme has more universality in application;
(3) The configuration of the energy storage system in the new energy fluctuation stabilization scene has obvious advantages, the participation of energy storage enables the output of the combined system to be smoother, the running cost of the system is reduced, and the capacity of the system for absorbing new energy is improved.
Drawings
FIG. 1 is a flow chart of an energy storage configuration method for new energy fluctuation stabilization provided by an embodiment of the invention;
FIG. 2 is a general idea of converting multiple physical parameters of energy storage into cost according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a photovoltaic historical output curve according to an embodiment of the present invention;
FIG. 4 is a graph showing the net capacity cost and net power cost range for different energy storage equivalent conversion provided by an embodiment of the present invention;
fig. 5 is a block diagram of an energy storage multiparameter equivalent conversion configuration system for new energy fluctuation stabilization provided by an embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
In the present invention, the terms "first," "second," and the like in the description and in the drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order.
Fig. 1 is a flowchart of an energy storage configuration method for new energy fluctuation stabilization provided by an embodiment of the present invention. Referring to fig. 1, in conjunction with fig. 2 to fig. 4, a detailed description is given of an energy storage configuration method facing to new energy fluctuation stabilization in this embodiment, and the method includes operations S1 to S3. The method is used for a combined system consisting of new energy and stored energy.
Operation S1, a relation between the net cost of unit capacity and the physical parameters of energy storage and a relation between the net cost of unit power and the physical parameters of energy storage are established, wherein the physical parameters of energy storage comprise SOC, service life and efficiency of energy storage.
According to the embodiment of the invention, the method for converting the SOC of the stored energy is as follows:
the SOC of an energy storage system determines the relationship between the energy it stores and the actual available energy transferred to the grid. The actual meaning of the energy storage system Δsoc is understood to mean that when an electrical quantity of 1kw·h is allocated to the energy storage side, the actual available electrical quantity when it is connected to the power grid is Δsoc kw·h. The larger Δsoc of the energy storage system means the larger the effective electric quantity range that it can actually use on the grid side, so that when the energy storage system is configured, the smaller capacity of the energy storage system can be configured to meet the grid side demand, and the mapping to the unit cost angle can be equivalently the actual net cost reduction of the energy storage per unit capacity.
Therefore, the net cost per unit capacity of the energy storage configuration obtained by equivalent conversion of the SOC of the energy storage is:
wherein B is e To the original unit capacity cost of energy storage, B e_soc The net cost per unit capacity of the stored energy after SOC conversion.
According to the embodiment of the invention, the method for converting the service life of the stored energy is as follows:
the investment cost of the energy storage is converted into the average daily investment cost in the whole life cycle of the energy storage by using a fund discount mode to represent the influence of the life of the energy storage. The shorter life energy storage system will share the same investment cost into the average daily cost of the operating phase, whereas the longer life energy storage will bear the smaller average daily cost. The lifetime of the stored energy affects both the power cost of the stored energy and the capacity cost of the stored energy.
Therefore, the net cost per unit capacity and the net cost per unit power of the energy storage configuration are obtained by equivalent conversion of the energy storage life as follows:
wherein B is e ,B p The cost per unit capacity and the cost per unit power that are not funded for storing energy. Delta is the discount rate, y is the service life of energy storage, B e_life Net cost per unit capacity for energy storage after life conversion, B p_life The net cost per unit power of the stored energy after life conversion.
According to the embodiment of the invention, the energy storage efficiency conversion method comprises the following steps:
the upper and lower thresholds for obtaining the equivalent conversion of efficiency to the net cost of energy storage are as follows:
wherein B is e_η Net cost per unit capacity for energy storage after efficiency conversion, B p_η Net cost per unit power, η, of energy storage after efficiency conversion c_base As the reference efficiency, 1 may be set.
The comprehensive conversion model for converting the SOC, service life and efficiency parameters of the stored energy into the stored energy is as follows:
wherein, beta is a fund discount coefficient, namely:
s2, establishing an optimal configuration model for stabilizing energy storage participation new energy output fluctuation, wherein the optimal configuration model comprises an objective function and constraint conditions, and the objective function is to enable energy storage cost C bs Electricity limiting punishment cost C for new energy a And new energy output out-of-limit punishment cost C flu Minimizing, the constraint conditions include an energy storage charge-discharge power constraint and an energy storage SOC constraint.
Wherein the energy storage cost C bs The method comprises the steps of including capacity cost and power cost, wherein the capacity cost is the product of the net cost of the unit capacity and rated capacity, the power cost is the product of the net cost of the unit power and rated power, and the rated capacity and rated power are to-be-decided quantities.
According to the embodiment of the invention, the indexes of the new energy fluctuation condition under different time scales comprise fluctuation indexes of two time scales of 1min and 10 min:
wherein r is 1 (t) is the output fluctuation index under the scale of 1min, r 10 (t) is the output fluctuation index under the scale of 10min, P t And (T) represents the output of a combined system formed by the new energy source and the hybrid energy storage system, and T is the total stabilization period.
According to the embodiment of the invention, the objective function of the optimal configuration model for energy storage participation new energy output fluctuation stabilization is that the total cost of the energy storage participation fluctuation stabilization period is minimum; the constraint conditions of the model comprise system output balance constraint, new energy output constraint and energy storage system related constraint.
The objective function is energy storage cost C bs Electricity limiting punishment cost C for new energy a And new energy output out-of-limit punishment cost C flu Minimization:
f＝min{C bs +C a +C flu }
in the related constraint of the energy storage system, the energy storage charging and discharging power constraint is as follows:
among the energy storage system related constraints, the energy storage SOC constraint is:
wherein,marking the charge and discharge state of the energy storage system, +.>Charging/discharging power of the energy storage system, +.>Maximum charge and discharge power for energy storage system E bes (t) is the current capacity of the stored energy,maximum and minimum capacities available for energy storage.
And S3, solving the optimal configuration model, and outputting rated capacity and rated power to obtain an energy storage type selection configuration scheme.
According to the embodiment of the invention, the energy storage configuration of the electrochemical energy storage, the physical energy storage and the hydrogen energy storage which are mature in technical development and participate in the new energy fluctuation stabilizing scene is selected, and the unit capacity net cost and the unit power net cost of each energy storage are obtained after the selected energy storage is subjected to parameter equivalent conversion according to the comprehensive calculation of the energy storage, so that the most suitable and economical energy storage is intuitively selected for optimal configuration.
In this embodiment, the effectiveness and practicality of the proposed method is verified with a photovoltaic power plant example. The photovoltaic output curve is shown in fig. 3, the installed capacity of the photovoltaic power station is 30MW, and the effective output time per day is 14 hours. The data sampling frequency was sampled every 1min, and the total stabilization period was 5 days.
In the embodiment, a lithium iron phosphate battery, a lead-acid battery, an all-vanadium redox flow battery, a super capacitor, compressed air and hydrogen energy storage which are relatively mature in the development of the prior art are selected, each energy storage is converted and analyzed based on a parameter conversion net cost model of the energy storage, and the technical and economic parameters of each energy storage are shown in a table 1.
TABLE 1
With the above operations S1-S3, the stored energy in this example is subjected to parameter equivalence conversion and analysis. Specifically, after the above stored energy is subjected to parameter equivalent conversion according to the comprehensive calculation formula in the energy storage parameter conversion model, the net cost per unit capacity and the net cost per unit power of each stored energy are obtained as shown in the following table 2.
TABLE 2
The net capacity cost and net power cost ranges obtained by the parametric conversion of each energy storage are shown in fig. 4. The chart can intuitively show that the converted net capacity cost and net power cost of the lithium iron phosphate battery are low, and the best comprehensive performance of the lithium iron phosphate battery can be estimated in advance, so that the lithium iron phosphate battery is the best choice for energy storage configuration when planning the energy storage type participating in stabilizing new energy fluctuation.
Applying the selected lithium iron phosphate battery energy storage to a new energy fluctuation stabilization scene, wherein an objective function of an energy storage optimal configuration model comprises energy cost C of the lithium iron phosphate battery bs Electricity limiting punishment cost C for new energy a And new energy output out-of-limit punishment cost C flu 。
f＝min{C bs +C a +C flu }
The energy storage cost comprises the investment cost C of the energy storage system inv And operating maintenance cost C op The specific calculation formula is as follows:
C bs ＝C inv +C op
the system output balance constraint is:
P t (t)＝P s (t)+P bes (t)
the new energy output constraint is as follows:
0＜＝P s (t)＜＝P s_max (t)
the energy storage system related constraints are:
wherein P is s (t) represents new energy output, P bes (t) represents the output of the stored energy of the lithium iron phosphate battery, P s_max And (t) is the upper limit of the new energy output.
By executing the method in the embodiment, the rated capacity and rated power configuration conditions of the lithium iron phosphate battery in the photovoltaic power station and the fluctuation out-of-limit conditions of the photovoltaic power station under the conditions of energy storage configuration and non-energy storage configuration can be obtained, and further the technical and economical improvement of the energy storage configuration to the system is analyzed.
Fig. 5 is a block diagram of an energy storage multiparameter equivalent conversion configuration system for new energy fluctuation stabilization provided by an embodiment of the invention. Referring to fig. 5, the energy storage multi-parameter equivalent conversion configuration system 500 for new energy fluctuation stabilization includes a first establishing module 510, a second establishing module 520 and a solving module 530.
The first establishing module 510, for example, performs operation S1 for establishing a relation between the net cost per unit capacity and the physical parameters of the stored energy, including SOC, lifetime and efficiency of the stored energy, and a relation between the net cost per unit power and the physical parameters of the stored energy.
The second building module 520, for example, performs operation S2 for building an optimal configuration model for energy storage to participate in the new energy output fluctuation stabilization, the optimal configuration model including objective functions and constraints, the objective functions being to make the energy storage cost C bs Electricity limiting punishment cost C for new energy a And new energy output out-of-limit punishment cost C flu Minimizing the constraint conditionsIncluding energy storage charge-discharge power constraints and energy storage SOC constraints.
Wherein the energy storage cost C bs The method comprises the steps of including capacity cost and power cost, wherein the capacity cost is the product of the net cost of the unit capacity and rated capacity, the power cost is the product of the net cost of the unit power and rated power, and the rated capacity and rated power are to-be-decided quantities.
The solving module 530 performs, for example, operation S3, to solve the optimal configuration model, and output the rated capacity and the rated power to obtain the energy storage type selection configuration scheme.
In one embodiment, the net cost per unit capacity versus SOC is as follows:
wherein B is e To the original unit capacity cost of energy storage, B e_soc The net cost per unit capacity of the stored energy after SOC conversion.
In a specific embodiment, the relationship between the net cost per unit capacity and the lifetime of the stored energy is:
the relation between the net cost of unit power and the service life of stored energy is as follows:
wherein B is e ,B p The original unit capacity cost and unit power cost of the energy storage are shown, delta is the discount rate, y is the service life of the energy storage, and B e_life Net cost per unit capacity for energy storage after life conversion, B p_life The net cost per unit power of the stored energy after life conversion.
In a specific embodiment, the net cost per unit capacity versus efficiency relationship:
the net cost per unit power versus efficiency relationship:
wherein B is e_η Net cost per unit capacity for energy storage after efficiency conversion, B p_η Net cost per unit power, η, of energy storage after efficiency conversion c_base As reference efficiency eta c For energy storage efficiency, B e ,B p The original unit capacity cost and unit power cost are the energy storage.
In a specific embodiment, establishing a relation between the net cost per unit capacity and the physical parameters of the stored energy and a relation between the net cost per unit power and the physical parameters of the stored energy includes converting the SOC, lifetime and efficiency parameters of the stored energy to a comprehensive conversion model of the stored energy, the comprehensive conversion model being:
wherein B is e ,B p For the original unit capacity cost and unit power cost of energy storage, B' e 、B' p The cost of unit capacity and the cost of unit power after the conversion of the physical parameters of energy storage are respectively, beta is the fund conversion coefficient, eta c_base As reference efficiency eta c Delta is the discount rate, and y is the service life of energy storage.
In a specific embodiment, the energy storage charge-discharge power constraint is:
the energy storage SOC constraint is:
wherein,marking the charge and discharge state of the energy storage system, +.>Charging/discharging power of the energy storage system, +.>Maximum charge and discharge power for energy storage system E bes (t) is the current capacity of the stored energy,maximum and minimum capacities available for energy storage.
The new energy fluctuation stabilization oriented energy storage configuration system 500 is used to execute the new energy fluctuation stabilization oriented energy storage configuration method in the embodiments shown in fig. 1-4. For details of this embodiment, please refer to the energy storage configuration method for new energy fluctuation stabilization in the embodiments shown in fig. 1-4, which is not described herein.
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. The energy storage configuration method for new energy fluctuation stabilization is characterized by comprising the following steps of:
establishing a relation between the net cost of unit capacity and an energy storage physical parameter and a relation between the net cost of unit power and the energy storage physical parameter, wherein the energy storage physical parameter comprises the SOC, the service life and the efficiency of energy storage;
establishing an optimal configuration model for stabilizing energy storage participation new energy output fluctuation, wherein the optimal configuration model comprises an objective function and constraint conditions, and the objective function is to enable energy storage cost C bs Electricity limiting punishment cost C for new energy a And new energy output out-of-limit punishment cost C flu Minimizing the energy storage cost C bs The method comprises the steps of including capacity cost and power cost, wherein the capacity cost is the product of the net cost of unit capacity and rated capacity, the power cost is the product of the net cost of unit power and rated power, the rated capacity and rated power are to-be-decided quantities, and the constraint conditions comprise energy storage charging and discharging power constraint and energy storage SOC constraint;
and solving the optimal configuration model, and outputting rated capacity and rated power to obtain an energy storage selective configuration scheme.
2. The energy storage configuration method for new energy fluctuation stabilization according to claim 1, wherein the relation between the net cost per unit capacity and the SOC is:
wherein B is e To the original unit capacity cost of energy storage, B e_soc Unit capacity net formation for energy storage after SOC conversionThe cost is high.
3. The energy storage configuration method for new energy fluctuation stabilization according to claim 1, wherein,
the relation between the net cost of unit capacity and the service life of stored energy is as follows:
the relation between the net cost of unit power and the service life of stored energy is as follows:
wherein B is e ,B p The original unit capacity cost and unit power cost of the energy storage are shown, delta is the discount rate, y is the service life of the energy storage, and B e_life Net cost per unit capacity for energy storage after life conversion, B p_life The net cost per unit power of the stored energy after life conversion.
4. The energy storage configuration method for new energy fluctuation stabilization according to claim 1, wherein,
the net cost per unit capacity versus efficiency relationship:
the net cost per unit power versus efficiency relationship:
wherein B is e_η Net cost per unit capacity for energy storage after efficiency conversion, B p_η Net cost per unit power, η, of energy storage after efficiency conversion c_base As reference efficiency eta c For energy storage efficiency, B e ,B p The original unit capacity cost and unit power cost are the energy storage.
5. The new energy wave stabilization-oriented energy storage configuration method of claim 1, wherein establishing a relation between a net cost per unit capacity and an energy storage physical parameter and a relation between a net cost per unit power and an energy storage physical parameter includes converting SOC, lifetime and efficiency parameters of energy storage into a comprehensive conversion model of energy storage, the comprehensive conversion model being:
wherein B is e ,B p For the original unit capacity cost and unit power cost of energy storage, B e '、B' p The cost of unit capacity and the cost of unit power after the conversion of the physical parameters of energy storage are respectively, beta is the fund conversion coefficient, eta c_base As reference efficiency eta c Delta is the discount rate, and y is the service life of energy storage.
6. The energy storage configuration method for new energy fluctuation stabilization according to claim 1, wherein,
the energy storage charge-discharge power constraint is as follows:
the energy storage SOC constraint is:
wherein,marking the charge and discharge state of the energy storage system, +.>Charging/discharging power of the energy storage system, +.>Maximum charge and discharge power for energy storage system E bes (t) is the current capacity of the stored energy,maximum and minimum capacities available for energy storage.
7. An energy storage configuration system for new energy wave stabilization, comprising:
the first building module is used for building a relation between the net cost of unit capacity and the physical parameters of energy storage and a relation between the net cost of unit power and the physical parameters of energy storage, wherein the physical parameters of energy storage comprise the SOC, the service life and the efficiency of energy storage;
a second building module for building an optimal configuration model for energy storage to participate in the fluctuation stabilization of the new energy output, wherein the optimal configuration model comprises an objective function and constraint conditions, and the objective function is to enable the energy storage cost C bs Electricity limiting punishment cost C for new energy a And new energy output out-of-limit punishment cost C flu Minimizing the energy storage cost C bs The method comprises the steps of including capacity cost and power cost, wherein the capacity cost is the product of the net cost of unit capacity and rated capacity, the power cost is the product of the net cost of unit power and rated power, the rated capacity and rated power are to-be-decided quantities, and the constraint conditions comprise energy storage charging and discharging power constraint and energy storage SOC constraint;
and the solving module is used for solving the optimal configuration model and outputting rated capacity and rated power to obtain an energy storage type selection configuration scheme.
8. The new energy surge-oriented energy storage configuration system of claim 7 wherein the net cost per unit capacity versus SOC is:
wherein B is e To the original unit capacity cost of energy storage, B e_soc The net cost per unit capacity of the stored energy after SOC conversion.
9. The new energy surge-oriented energy storage configuration system of claim 7 wherein the net cost per unit capacity versus the life of the stored energy is:
the relation between the net cost of unit power and the service life of stored energy is as follows:
wherein B is e ,B p The original unit capacity cost and unit power cost of the energy storage are shown, delta is the discount rate, y is the service life of the energy storage, and B e_life Net cost per unit capacity for energy storage after life conversion, B p_life The net cost per unit power of the stored energy after life conversion.
10. The new energy wave-stabilizing oriented energy storage configuration system of claim 7, wherein the net cost per unit capacity versus efficiency relationship:
the net cost per unit power versus efficiency relationship:
wherein B is e_η Net cost per unit capacity for energy storage after efficiency conversion, B p_η Net cost per unit power, η, of energy storage after efficiency conversion c_base As reference efficiency eta c For energy storage efficiency, B e ,B p The original unit capacity cost and unit power cost are the energy storage.
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