New energy power station energy storage and static synchronous compensator configuration optimization method and device

Abstract

The invention provides a new energy power station energy storage and static synchronous compensator configuration optimization method and device, which can be applied to the technical field of new energy power system planning and optimization operation. The method comprises the steps of determining power station operation and maintenance resources of a to-be-optimized new energy power station based on respective system parameters of a plurality of power grid subsystems in the to-be-optimized new energy power station and operation and maintenance parameters of the to-be-optimized new energy power station; constructing constraint conditions based on the configuration parameters of the energy storage system, the configuration parameters of the static synchronous compensation system, the response time of the to-be-optimized new energy power station to the disturbance and the injection harmonic level of the to-be-optimized new energy power station; based on the constraint condition, performing iterative optimization on the configuration parameters of the energy storage system and the static synchronous compensation system to obtain an iterative optimization result; and based on an iterative optimization result, determining a configuration optimization scheme for the energy storage system and the static synchronous compensation system.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of new energy power system planning and optimal operation, in particular to a configuration optimization method and device for energy storage and static synchronous compensator of a new energy power station. BACKGROUND

[0002] In the construction and operation of a new energy power station, the reasonable configuration of an energy storage system (ESS) and a static synchronous compensation system is crucial to guarantee the stability of a power grid and improve power quality. At present, when configuring a new energy power station, multiple factors need to be considered. On the one hand, the system parameters of the power grid subsystem and the operation and maintenance parameters of the power station are used to calculate the operation and maintenance resources of the power station to ensure that the configuration scheme is feasible in the economic aspect. On the other hand, the response time of the power grid to disturbance, the harmonic injection level and other technical indicators constitute the constraint conditions of the configuration, and it is necessary to ensure that the system after configuration can meet the requirements of power quality and transient stability.

[0003] In the implementation of the present disclosure, it is found that the related art ignores the synergistic optimization effect of the energy storage system and the static synchronous compensation system on the new energy power station, so in the parameter optimization iteration process, it is difficult to effectively balance the global search and local fine adjustment, and it is easy to fall into local optimization, resulting in a poor optimization scheme and causing waste of power station resources. SUMMARY

[0004] In view of the above problems, the present disclosure provides a configuration optimization method and device for energy storage and static synchronous compensator of a new energy power station.

[0005] According to a first aspect of the present disclosure, a configuration optimization method for energy storage and static synchronous compensator of a new energy power station is provided, comprising: determining the operation and maintenance resources of the new energy power station to be optimized based on the system parameters of each power grid subsystem in the new energy power station to be optimized and the operation and maintenance parameters of the new energy power station to be optimized, wherein the power grid subsystem at least includes an energy storage system and a static synchronous compensation system, and the static synchronous compensation system includes at least one static synchronous compensator; constructing a constraint condition based on the configuration parameters of the energy storage system, the configuration parameters of the static synchronous compensation system, the response time of the new energy power station to be optimized to disturbance and the harmonic injection level of the new energy power station to be optimized; based on the constraint condition, iteratively optimizing the configuration parameters of the energy storage system and the static synchronous compensation system to obtain an iterative optimization result, wherein the optimization strategy of each iteration optimization includes an optimization direction and an optimization step, the optimization step is determined according to the iteration round of the iteration optimization, the optimization step decreases with the increase of the iteration round, and the iteration optimization result makes the operation and maintenance resources meet the configuration optimization target; based on the iteration optimization result, determining a configuration optimization scheme for the energy storage system and the static synchronous compensator.

[0006] The second aspect of the present disclosure provides a configuration optimization device for energy storage and static synchronous compensator of a new energy power station, comprising: a resource determination module configured to determine power station operation and maintenance resources of a new energy power station to be optimized based on system parameters of a plurality of power grid subsystems in the new energy power station to be optimized and operation and maintenance parameters of the new energy power station to be optimized, wherein the power grid subsystems at least include an energy storage system and a static synchronous compensation system, and the static synchronous compensation system includes at least one static synchronous compensator; a constraint construction module configured to construct constraint conditions based on configuration parameters of the energy storage system, configuration parameters of the static synchronous compensation system, response time of the new energy power station to be optimized to disturbance, and injection harmonic level of the new energy power station to be optimized; a configuration optimization module configured to perform iterative optimization on the configuration parameters of the energy storage system and the static synchronous compensation system based on the constraint conditions to obtain an iterative optimization result, wherein an optimization strategy of each iteration optimization includes an optimization direction and an optimization step, the optimization step is determined according to an iteration round of the iterative optimization, the optimization step decreases with an increase of the iteration round, and the iterative optimization result makes the power station operation and maintenance resources meet a configuration optimization target; and a scheme determination module configured to determine a configuration optimization scheme for the energy storage system and the static synchronous compensation system based on the iterative optimization result.

[0007] According to the embodiments of the present disclosure, the operation and maintenance resources are determined based on the system parameters and the power station operation and maintenance parameters of the power grid subsystems such as the energy storage system and the static synchronous compensation system in the new energy power station to be optimized, the constraint conditions are constructed in combination with the configuration parameters such as the charge and discharge parameters, energy capacity of the energy storage system, and reactive power of the static synchronous compensation system, and the response time of the system to disturbance and the injection harmonic level, the iterative optimization strategy with the optimization step decreasing with the increase of the iteration round is used to make the power station operation and maintenance resources meet the configuration optimization target, and finally the configuration optimization scheme is determined, which can realize the multi-dimensional parameter fusion to improve the configuration accuracy, cover the core technical indexes in the constraint conditions to guarantee the system stability and power quality, and dynamically optimize the step to avoid the local optimal and further improve the global optimization ability, so as to ensure that the operation efficiency of the new energy power station to be optimized is improved and the operation and maintenance resources are saved after the optimization based on the configuration optimization scheme. BRIEF DESCRIPTION OF DRAWINGS

[0008] The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of the embodiments of the present disclosure taken with reference to the accompanying drawings, in which:

[0009] Figure 1 An application scenario diagram of a configuration optimization method and device for energy storage and static synchronous compensator of a new energy power station according to an embodiment of the present disclosure is schematically shown;

[0010] Figure 2 A flowchart of a configuration optimization method for energy storage and static synchronous compensator of a new energy power station according to an embodiment of the present disclosure is schematically shown;

[0011] Figure 3 A comparison chart of new energy consumption before and after configuration optimization by the configuration optimization method of the new energy power station energy storage and static synchronous compensator according to the embodiment of the present disclosure is schematically shown;

[0012] Figure 4 A comparison chart of wind and light curtailment power of the new energy power station to be optimized before and after configuration optimization by the configuration optimization method of the new energy power station energy storage and static synchronous compensator according to the embodiment of the present disclosure is schematically shown;

[0013] Figure 5A A comparison chart of active power before and after configuration optimization by the configuration optimization method of the new energy power station energy storage and static synchronous compensator according to the embodiment of the present disclosure is schematically shown;

[0014] Figure 5B A comparison chart of reactive power before and after configuration optimization by the configuration optimization method of the new energy power station energy storage and static synchronous compensator according to the embodiment of the present disclosure is schematically shown;

[0015] Figure 6 A comparison chart of system frequency response before and after configuration optimization by the configuration optimization method of the new energy power station energy storage and static synchronous compensator according to the embodiment of the present disclosure is schematically shown;

[0016] Figure 7 A structure block diagram of the configuration optimization device of the new energy power station energy storage and static synchronous compensator according to the embodiment of the present disclosure is schematically shown; and

[0017] Figure 8 A block diagram of an electronic device suitable for implementing the configuration optimization method of the new energy power station energy storage and static synchronous compensator according to the embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0018] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood, however, that the description which follows is merely exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description of embodiments of the present disclosure, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure. However, it would be apparent to one skilled in the art that one or more embodiments of the present disclosure can be practiced without these specific details. In other instances, descriptions of well-known structures and techniques have been omitted in order to avoid obscuring the concepts of the present disclosure.

[0019] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the present disclosure. As used herein, the term "including" or "comprising" means the inclusion of the stated features, steps, operations, and / or elements but not to the exclusion of one or more other features, steps, operations, and / or elements.

[0020] All terms used herein, including technical and scientific terms, have the meanings as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be further noted that the use of terms such as "first", "second" and the like can be used in this disclosure to describe various elements, but these elements should not be construed as being limited to the above-referenced terms. Such terms are only used to distinguish one element from another. Terms in the singular sense can include the plural, and vice versa, unless otherwise specified. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs. The terminology used herein should be interpreted as having a meaning that is consistent with the context of this disclosure and not in an idealized or overly formal sense unless otherwise specified.

[0021] In the case of using expressions similar to "at least one of A, B, and C, etc.", it should generally be interpreted that the expression includes any of one, two, or all of the elements mentioned in the list (e.g., "a system having at least one of A, B, and C" should include a system having A alone, a system having B alone, a system having C alone, a system having A and B together, a system having A and C together, a system having B and C together, and / or a system having A, B, and C together, etc.).

[0022] Figure 1 An application scenario diagram of a configuration optimization method and device of a new energy power station energy storage and static synchronous compensator according to an embodiment of the disclosure is schematically shown.

[0023] As shown in Figure 1 The application scenario 100 according to the embodiment can include a first new energy power station 101, a second new energy power station 102, an energy storage system 103, a static synchronous compensation system 104, and an information processing system 105.

[0024] The first new energy power station 101 can be a photovoltaic field station using photovoltaic power generation, which includes a plurality of DC-DC converters (shown as "DC / DC" in the figure) for stabilizing the DC power output by the photovoltaic panel to stabilize the output DC voltage to meet the subsequent equipment requirements.

[0025] The second new energy power station 102 can be a wind power field station using wind power generation, which includes a plurality of rectifiers (shown as "AC / DC" in the figure) and inverters (shown as "DC / AC" in the figure), the rectifiers are used to convert the AC power generated by the wind turbine in the wind power field into DC power, and the inverters are used to invert the DC power obtained by the rectifiers to obtain AC power meeting the requirements of the power grid.

[0026] The energy storage system 103 includes an energy storage converter, and the energy storage system 103 is connected with the first new energy power station 101 and the second new energy power station 102 through the energy storage converter. The energy storage system 103 is responsible for storing or releasing the power generated in the power grid from the energy storage converter according to the actual power generation of the first new energy power station 101 and the second new energy power station 102, so as to maintain the balance of the active power of the new energy power station.

[0027] The static synchronous compensator system 104 includes a converter, and the static synchronous compensator system 104 is connected in parallel to the power grid through the converter to adjust the reactive power of the power grid to maintain the balance of the reactive power of the new energy power station.

[0028] The information processing system 105 is connected with the first new energy power station 101, the second new energy power station 102, the energy storage system 103, and the static synchronous compensator system 104, and is configured to acquire the power generation conditions of the first new energy power station 101 and the second new energy power station 102, and to calculate the power generation conditions, and to control the energy storage system 103 and the static synchronous compensator system 104 to work according to the calculation results to maintain the power stability of the entire new energy power station.

[0029] It should be noted that the method for optimizing the configuration of the energy storage and the static synchronous compensator of the new energy power station provided in the embodiments of the present disclosure can generally be executed by the information processing system 105. Accordingly, the device for optimizing the configuration of the energy storage and the static synchronous compensator of the new energy power station provided in the embodiments of the present disclosure can generally be arranged in the information processing system 105. The method for optimizing the configuration of the energy storage and the static synchronous compensator of the new energy power station provided in the embodiments of the present disclosure can also be executed by an information processing system or a cluster of information processing systems different from the information processing system 105 and capable of communicating with the first new energy power station 101, the second new energy power station 102, the energy storage system 103, the static synchronous compensator system 104, and / or the information processing system 105. Accordingly, the device for optimizing the configuration of the energy storage and the static synchronous compensator of the new energy power station provided in the embodiments of the present disclosure can also be arranged in an information processing system or a cluster of information processing systems different from the information processing system 105 and capable of communicating with the first new energy power station 101, the second new energy power station 102, the energy storage system 103, the static synchronous compensator system 104, and / or the information processing system 105.

[0030] It should be understood that Figure 1 The number of the new energy power stations, the energy storage systems, the static synchronous compensator systems, and the information processing systems in the system 100 is only illustrative. According to the implementation needs, there can be any number of new energy power stations, energy storage systems, static synchronous compensator systems, and information processing systems.

[0031] The method for optimizing the configuration of the energy storage and the static synchronous compensator of the new energy power station provided in the embodiments of the present disclosure will be described in detail below based on the scenario described above. Figure 1 The method for optimizing the configuration of the energy storage and the static synchronous compensator of the new energy power station provided in the embodiments of the present disclosure will be described in detail below based on the scenario described above. Figures 2-4 Figure 5A Figure 5B Figure 6 The method for optimizing the configuration of the energy storage and the static synchronous compensator of the new energy power station provided in the embodiments of the present disclosure will be described in detail below based on the scenario described above.

[0032] Figure 2 The flowchart of the method for optimizing the configuration of the energy storage and the static synchronous compensator of the new energy power station according to the embodiments of the present disclosure is schematically shown. The flowchart of the method for optimizing the configuration of the energy storage and the static synchronous compensator of the new energy power station according to the embodiments of the present disclosure is schematically shown.​​

[0033] As Figure 2 shown, the configuration optimization method of the new energy power station energy storage and static synchronous compensator of this embodiment includes operation S210~operation S240.

[0034] In operation S210, based on the system parameters of each of the plurality of power grid subsystems in the new energy power station to be optimized and the operation and maintenance parameters of the new energy power station to be optimized, the power station operation and maintenance resources of the new energy power station to be optimized are determined.

[0035] According to embodiments of the present disclosure, in the new energy power station to be optimized, due to fluctuations in wind power, photovoltaic power and the like, the new energy power station to be optimized is prone to voltage instability and the like. The new energy power station to be optimized includes a plurality of power grid subsystems. Among them, the energy storage system can adjust the active power of the new energy power station to be optimized through charging and discharging and the like to alleviate the output fluctuation of the new energy power station to be optimized. The static synchronous compensation system can use the static synchronous compensator to adjust the reactive power in real time through the voltage source converter, thereby supporting the voltage stability of the new energy power station to be optimized. However, the cost required for using the above-mentioned energy storage system and static synchronous compensation system for stabilization is high.

[0036] Therefore, the configuration of the energy storage system and the static synchronous compensation system can be optimized to ensure the stable and safe operation of the new energy power station to be optimized, while controlling the operation and maintenance cost of the new energy power station to be optimized. Therefore, the power grid subsystems that need to be configured and optimized at least include an energy storage system and a static synchronous compensation system, the energy storage system includes at least one energy storage device, and the static synchronous compensation system includes at least one static synchronous compensator (STATCOM).

[0037] According to embodiments of the present disclosure, the system parameters of the power grid subsystems can include the rated power, rated capacity, purchase cost and the like of each of the energy storage system and the static synchronous compensation system. The operation and maintenance parameters of the new energy power station to be optimized can include the operation and maintenance cost generated in the process of using the above-mentioned power grid subsystems.

[0038] According to embodiments of the present disclosure, according to the system parameters of the power grid subsystems and the operation and maintenance parameters of the new energy power station to be optimized, the power station operation and maintenance resources required in the process of using the power grid subsystems to stabilize the new energy power station to be optimized can be determined.

[0039] In operation S220, based on the configuration parameters of the energy storage system, the configuration parameters of the static synchronous compensation system, the response time of the new energy power station to be optimized to the disturbance, and the harmonic injection level of the new energy power station to be optimized, the constraint condition is constructed.

[0040] According to an embodiment of the present disclosure, the response time of the new energy power station to be optimized to the disturbance and the injection harmonic level of the new energy power station to be optimized can be determined according to relevant regulations in the field of power systems, and the relevant regulations can further include frequency deviation specifications, voltage deviation specifications, and the like of the power system.

[0041] According to an embodiment of the present disclosure, the configuration parameters of the energy storage system can include rated parameters of each energy storage device in the energy storage system.

[0042] According to an embodiment of the present disclosure, the configuration parameters of the static synchronous compensator system can include rated parameters of each static synchronous compensator included in the static synchronous compensator system.

[0043] According to an embodiment of the present disclosure, by obtaining the above information, it can be determined that under the premise that the new energy power station to be optimized meets the performance requirements and safety requirements, the required output and other constraint conditions of the energy storage system and the static synchronous compensator system are determined.

[0044] In operation S230, the configuration parameters of the energy storage system and the static synchronous compensator system are iteratively optimized based on the constraint conditions, and an iterative optimization result is obtained.

[0045] According to an embodiment of the present disclosure, the configuration parameters of the energy storage system and the static synchronous compensator system can be iteratively optimized within the constraint range of the constraint conditions, thereby completing step-by-step optimization, so that the iterative optimization result corresponds to the optimal configuration parameters.

[0046] According to an embodiment of the present disclosure, the optimization strategy of each iteration optimization includes an optimization direction and an optimization step, the optimization step is determined according to the iteration round of the iteration optimization, the optimization step decreases with the increase of the iteration round, and the iteration optimization result makes the power station operation and maintenance resources meet the configuration optimization target.

[0047] In operation S240, based on the iterative optimization result, a configuration optimization scheme for the energy storage system and the static synchronous compensator system is determined.

[0048] According to an embodiment of the present disclosure, the iterative optimization result corresponds to the optimal adjustment scheme of the configuration parameters of the energy storage system and the static synchronous compensator system, and therefore, the configuration optimization scheme can be generated based on the optimal adjustment scheme.

[0049] According to an embodiment of the present disclosure, the operation and maintenance resources are determined based on system parameters of a power grid subsystem such as an energy storage system and a static synchronous compensation system in a new energy power station to be optimized and operation and maintenance parameters of the power station, constraint conditions are constructed in combination with configuration parameters such as charge and discharge parameters, energy capacity of the energy storage system and reactive power of the static synchronous compensation system, and response time of the system to disturbance and injection harmonic level, and the operation and maintenance resources of the power station meet the configuration optimization target through an iterative optimization strategy in which an optimization step decreases with an increase in iteration rounds, and finally a configuration optimization scheme is determined, which can realize multi-dimensional parameter fusion to improve configuration accuracy, cover core technical indexes in constraint conditions to ensure system stability and power quality, and dynamically optimize steps to avoid local optimization and further improve global optimization capability, so as to ensure that the operation efficiency of the new energy power station to be optimized is improved and operation and maintenance resources are saved after optimization based on the configuration optimization scheme.

[0050] According to an embodiment of the present disclosure, the configuration parameters of the energy storage system include charge and discharge parameters and energy capacity, and the configuration parameters of the static synchronous compensation system include reactive power.

[0051] According to an embodiment of the present disclosure, based on the configuration parameters of the energy storage system, the configuration parameters of the static synchronous compensation system, the response time of the new energy power station to be optimized to disturbance, and the injection harmonic level of the new energy power station to be optimized, the process of constructing constraint conditions is as follows:

[0052] According to an embodiment of the present disclosure, the charge power , the discharge power , and the energy capacity of the energy storage device in the energy storage system are obtained. According to related regulations in the field of power systems, a first constraint sub-condition is constructed, as shown in formula (1):

[0053] (1)

[0054] wherein, is the minimum value of the charge power of the energy storage device, is the maximum value of the charge power, is the minimum value of the discharge power of the energy storage device, is the maximum value of the discharge power, is the minimum energy capacity of the energy storage device, is the maximum energy capacity.

[0055] According to an embodiment of the present disclosure, the output reactive power , the DC voltage value , the response time of the new energy power station to be optimized to change disturbance , and the injection harmonic level of the static synchronous compensation system are obtained. According to related regulations in the field of power systems, a second constraint sub-condition is constructed, as shown in formula (2):

[0056] (2)

[0057] wherein, is the maximum value of the reactive power and is the minimum value of the reactive power, is the minimum value of the DC voltage, is the maximum value of the DC voltage, is the minimum value of the response time, is the maximum value of the response time, is the maximum injection harmonic level allowed by the relevant regulations.

[0058] According to an embodiment of the present disclosure, the new energy power station to be optimized needs to maintain real-time energy supply and demand balance, and therefore, a third constraint sub-condition can be constructed, as shown in formula (3):

[0059] (3)

[0060] wherein, P demand is the real-time power demand of the new energy power station to be optimized, is the real-time power output of the new energy power station to be optimized, is the system loss, is the actual power provided by the energy storage system.

[0061] According to an embodiment of the present disclosure, for the power generation system of the new energy power station to be optimized, a fourth constraint sub-condition can be constructed, as shown in formula (4):

[0062] (4)

[0063] wherein, is the actual wind turbine power generation power, P PV (t) is the actual photovoltaic power generation power, is the minimum value of the wind turbine power generation power, is the maximum value of the wind turbine power generation power, is the minimum value of the photovoltaic power generation power, is the maximum value of the photovoltaic power generation power.

[0064] According to an embodiment of the present disclosure, the state of charge and the number of charge and discharge cycles in the energy storage system need to be controlled to ensure the safe operation of the energy storage system, and therefore, a fifth constraint sub-condition can be constructed, as shown in formula (5):

[0065] (5)

[0066] wherein, is the actual state of charge of the energy storage system, a minimum value of a state of charge of the energy storage system, a maximum value of the state of charge of the energy storage system, a number of charge-discharge cycles of the energy storage system, a maximum number of charge-discharge cycles allowed for the energy storage system.

[0067] According to an embodiment of the present disclosure, the power grid flow constraint can be used to describe the power balance in the new energy power station to be optimized and the relationship between the voltage and the current, and a sixth constraint sub-condition can be constructed according to the power grid flow constraint, as shown in formulas (6)-(8):

[0068] (6)

[0069] (7)

[0070] (8)

[0071] wherein, is a set of all branch starting nodes with j node as a terminal node, is a set of terminal nodes of the branch with j node as a starting node, is an active power injected into node i, is a reactive power injected into node i, wherein the node represents an energy storage device or a static synchronous compensator in the new energy power station to be optimized. is a maximum value of the active power injected into node i, is a maximum value of the reactive power injected into node i. is a current flowing through node i, is a maximum value of the current flowing through node i, is a minimum value of the current flowing through node i. is a resistance of node i, is a reactance of node i. is a net active power injected into node j, is a net reactive power injected into node j. is a voltage of node j, is a maximum value of the voltage of node j, is a minimum value of the voltage of node j.

[0072] According to an embodiment of the present disclosure, in the process of solving (6)-(8), since the original constraint of the sixth constraint sub-condition is a non-convex function, it is difficult to solve directly, and therefore, by introducing a second-order cone constraint, the non-convex problem can be converted into a convex optimization problem, as shown in formula (9):

[0073] (9)

[0074] According to embodiments of this disclosure, a seventh constraint sub-condition can be constructed based on the relevant regulations constraining the penetration rate of renewable energy, as shown in formula (10):

[0075] (10)

[0076] in, For renewable energy penetration rate, This represents the minimum penetration rate of renewable energy.

[0077] According to the embodiments of this disclosure, the constraint conditions can be constructed based on the first to seventh constraint conditions, i.e. formulas (1) to (8) and (10).

[0078] According to embodiments of this disclosure, based on the system parameters of each of the multiple grid subsystems in the new energy power plant to be optimized and the operation and maintenance parameters of the new energy power plant to be optimized, the power plant operation and maintenance resources of the new energy power plant to be optimized are determined, including: determining the energy storage operation and maintenance resources of the energy storage system based on the rated parameters and operating parameters of the energy storage system, wherein the energy storage operation and maintenance resources represent the resources consumed to maintain the normal operation of the energy storage system; determining the synchronization compensation operation and maintenance resources of the static synchronous compensation system based on the rated parameters and operating parameters of the static synchronous compensation system, wherein the synchronization compensation operation and maintenance resources represent the resources consumed to maintain the normal operation of the static synchronous compensation system; determining the operation and maintenance losses of the new energy power plant to be optimized based on the operation and maintenance parameters, wherein the operation and maintenance losses include the equipment wear and tear costs and maintenance costs caused by the normal operation of the new energy power plant to be optimized; and determining the power plant operation and maintenance resources based on the energy storage operation and maintenance resources, the synchronization compensation operation and maintenance resources, and the operation and maintenance losses.

[0079] According to embodiments of this disclosure, the rated parameters of the energy storage system may include preset parameters such as the purchase cost, rated capacity, and rated power of the energy storage system, while the operating parameters of the energy storage system may include actual parameters during operation, such as the expected number of charge-discharge cycles.

[0080] Among them, based on the discount rate r of the energy storage system and the service life T ESS Rated capacity E max Rated power P max Investment per unit capacity C α Investment coefficient per unit power C β The annualized investment cost C of the energy storage system can be determined. ESS,b As shown in formula (11):

[0081] (11)

[0082] Based on the expected number of charge-discharge cycles n of the energy storage system cycles The cost C required for each charge-discharge cyclecycle , maintenance cost C of the charge-discharge management system BMS , maintenance frequency n of the charge-discharge management system m , the operation and maintenance cost C of the energy storage system can be determined ESS,on , as shown in formula (12):

[0083] (12)

[0084] According to an embodiment of the present disclosure, the rated parameters of the static synchronous compensation system can include the purchase cost, the expected service life and other preset parameters of the static synchronous compensation system, and the operation parameters of the static synchronous compensation system can include the maintenance frequency of the cooling system of the static synchronous compensation system and other real parameters in the operation process.

[0085] , the unit power investment cost C of the static synchronous compensation system can be determined according to the output reactive power of the static synchronous compensation system STATCOM,b , as shown in formula (13):

[0086] (13)

[0087] , λ, a, b, c are hyperparameters.

[0088] According to the maintenance cost C of the power generation equipment in the static synchronous compensation system electronics , the maintenance cost C of the cooling system in the static synchronous compensation system cooling , and the maintenance frequency n of the cooling system c , the operation and maintenance cost C of the static synchronous compensation system can be determined STATCOM,om , as shown in formula (14):

[0089] (14)

[0090] According to an embodiment of the present disclosure, the operation and maintenance loss of the new energy power station to be optimized can include the equipment depreciation cost, the energy loss penalty cost, the replacement cost, the labor cost and the like of the energy storage system and the static synchronous compensation system.

[0091] , the equipment depreciation cost C can be determined according to the purchase cost C capital , the expected service life N and the current service life T of the power equipment in the new energy power station to be optimized depreciation , as shown in formula (15):

[0092] (15)

[0093] According to the system loss rate , the total amount of transmitted energy E transmitted , the electricity price P energy, wind curtailment penalty cost coefficient , light curtailment penalty cost coefficient , wind curtailment power E wind,a , light curtailment power E PV,a , the energy loss penalty cost C loss , can be determined as shown in formula (16):

[0094] (16)

[0095] According to the number of components to be replaced n replace , and the replacement cost C of the replacement component part , the replacement cost C replacement , can be determined as shown in formula (17):

[0096] (17)

[0097] According to the working time H work , the number of workers N workers , and the wage rate R wage , the labor cost C labor , can be determined as shown in formula (18):

[0098] (18)

[0099] According to an embodiment of the present disclosure, after determining the above-mentioned energy storage operation and maintenance resources, synchronous compensation operation and maintenance resources and operation and maintenance loss, the power station operation and maintenance resources can be determined by formula (19):

[0100] (19)

[0101] According to an embodiment of the present disclosure, after obtaining the power station operation and maintenance resources, the optimization target can be determined to be the minimum value of the power station operation and maintenance resources, that is, within the constraint range of the constraint condition, by adjusting the configuration parameters of the energy storage system and the static synchronous compensation system, the minimum value of formula (19) is obtained.

[0102] According to an embodiment of the present disclosure, based on the rated parameters and operating parameters of the energy storage system and the static synchronous compensation system, the respective operation and maintenance resources are determined, the operation and maintenance parameters are combined to determine the operation and maintenance loss of the power station, and then the operation and maintenance resources of the power station are comprehensively determined, which can realize accurate life cycle cost accounting to more truly reflect the whole cycle expenditure, and support economic optimization through loss quantification.

[0103] According to an embodiment of the present disclosure, based on the constraint condition, configuration parameters of the energy storage system and the static synchronous compensation system are iteratively optimized to obtain an iterative optimization result, including: based on the constraint condition, a set of optional configuration schemes of the energy storage system and the static synchronous compensation system is constructed, wherein the set of configuration schemes includes a plurality of alternative configuration schemes; from the plurality of alternative configuration schemes, a target configuration scheme most meeting a configuration optimization target is determined; based on the target configuration scheme, a plurality of remaining configuration schemes in the set of configuration schemes except the target configuration scheme are updated respectively to obtain a plurality of updated configuration schemes; in a case where it is determined that the iterative optimization meets a preset condition, the target configuration scheme is taken as the iterative optimization result, wherein the preset condition includes that the number of iterations of the iterative optimization reaches a preset number threshold, and a configuration difference between the plurality of updated configuration schemes and the target configuration scheme meets a preset configuration difference threshold; in a case where it is determined that the iterative optimization does not meet the preset condition, the target configuration scheme and the plurality of updated configuration schemes are used to construct the set of configuration schemes.

[0104] According to an embodiment of the present disclosure, the set of configuration schemes includes a plurality of alternative configuration schemes, and each alternative configuration scheme includes a plurality of configuration parameters of the energy storage system and the static synchronous compensation system. The power station operation and maintenance resources under the plurality of alternative configuration schemes can be calculated in turn, and the one with the smallest power station operation and maintenance resource is selected from them, and the alternative configuration scheme corresponding to the smallest power station operation and maintenance resource is taken as the target configuration scheme, and the other configuration schemes in the set of configuration schemes are determined as the remaining configuration schemes.

[0105] According to an embodiment of the present disclosure, the target configuration scheme is used to update the configurations in the remaining configuration schemes, so that the updated configuration schemes obtained after the update are closer to the target configuration scheme, i.e., closer to the optimal configuration scheme under the current situation, than the remaining configuration schemes before the update.

[0106] According to an embodiment of the present disclosure, in a case where the number of iterations of the iterative optimization reaches the preset number threshold, it is determined that the iterative optimization meets the preset condition, and then the iterative optimization is stopped, which can reduce the probability of overfitting and reduce the calculation cost, in addition, by setting a suitable preset number threshold, the accuracy and usability of the result obtained after stopping the iterative optimization can be ensured to be relatively high, and the effect of configuration optimization can be ensured.

[0107] According to an embodiment of the present disclosure, in a case where the configuration difference between the plurality of updated configuration schemes and the target configuration scheme meets the preset configuration difference threshold after the iterative optimization is completed, it indicates that the difference between the plurality of updated configuration schemes and the target configuration scheme is small enough, in this case, although the training is continued, the optimization effect is not obvious, and there is also a problem of overfitting, therefore, it can be determined that the iterative optimization meets the preset condition.

[0108] According to an embodiment of the present disclosure, in a case where it is determined that the iterative optimization does not satisfy the preset condition, a configuration scheme set is constructed by using the target configuration scheme and the plurality of updated configuration schemes, and the above iterative optimization process is re-executed until the iterative optimization satisfies the preset condition, and the current target configuration scheme is taken as the iterative optimization result.

[0109] According to an embodiment of the present disclosure, the energy storage system configuration parameter includes a charging and discharging parameter and an energy capacity, and the static synchronous compensation system configuration parameter includes a reactive power. By constructing a configuration scheme set, determining a target configuration scheme, updating the remaining configuration schemes, and judging whether to terminate iteration according to a preset condition, the parameter definition can be made to fit the essential characteristics of the device to completely cover the core performance, and the optimization efficiency can be improved by iteration of the scheme set to reduce the number of iterations.

[0110] According to an embodiment of the present disclosure, based on the constraint condition, a configuration scheme set that can be selected by the energy storage system and the static synchronous compensation system is constructed, including: based on the constraint condition, determining a plurality of selectable energy storage parameters of the energy storage system and a plurality of selectable synchronous compensation parameters of the static synchronous compensation system; combining the plurality of selectable energy storage parameters and the plurality of selectable synchronous compensation parameters one by one to obtain a plurality of candidate configuration schemes; and based on the plurality of candidate configuration schemes, constructing the configuration scheme set.

[0111] According to an embodiment of the present disclosure, since the charging power, the response time and other parameters are continuous parameters, even if the constraint condition restricts the parameters in a closed interval, each parameter cannot be exhausted. A value step can be set for each parameter, and a plurality of selectable energy storage parameters or a plurality of selectable synchronous compensation parameters can be selected from the interval specified by the constraint condition according to the value step.

[0112] According to an embodiment of the present disclosure, under the constraint condition, the plurality of selectable energy storage parameters of the energy storage system are determined by using the above method, wherein the categories of the selectable energy storage parameters include selectable charging power, selectable energy capacity, etc. The plurality of selectable synchronous compensation parameters of the static synchronous compensation system are determined, wherein the categories of the selectable synchronous compensation parameters include selectable reactive power, selectable response time, etc.

[0113] According to an embodiment of the present disclosure, the plurality of selectable energy storage parameters and the plurality of selectable synchronous compensation parameters are combined one by one. In a case where there are categories of the plurality of selectable energy storage parameters or categories of the plurality of selectable synchronous compensation parameters, the parameters of each category are combined one by one to obtain a candidate configuration scheme.

[0114] For example, the category of the optional energy storage parameter includes an optional charging power, and the category of the optional synchronous compensation parameter includes an optional reactive power and an optional response time. Then, in the combination process, one charging power, one reactive power and one response time are selected under the constraint condition, and an alternative configuration scheme is obtained by combination, that is, the alternative configuration scheme needs to include the charging power, the reactive power and the response time.

[0115] According to an embodiment of the present disclosure, after obtaining the plurality of alternative configuration schemes, the plurality of alternative configuration schemes are summarized to construct a configuration scheme set.

[0116] According to an embodiment of the present disclosure, based on the constraint condition, the plurality of optional energy storage parameters of the energy storage system and the plurality of optional synchronous compensation parameters of the static synchronous compensation system are determined, which are combined one by one to obtain the alternative configuration scheme and construct the scheme set. The comprehensiveness of the scheme can be ensured to cover the engineering feasible interval through exhaustive combination, and the feasibility of the scheme can be improved through constraint filtering to reduce the time consumption of subsequent verification.

[0117] According to an embodiment of the present disclosure, from the plurality of alternative configuration schemes, a target configuration scheme most meeting the configuration optimization target is determined, including: respectively calculating power station operation and maintenance resources corresponding to each alternative configuration scheme; according to the configuration optimization target, selecting a target power station operation and maintenance resource meeting the configuration optimization target from the plurality of power station operation and maintenance resources, and taking the alternative configuration scheme corresponding to the target power station operation and maintenance resource as the target configuration scheme.

[0118] According to an embodiment of the present disclosure, the formula (19) is used to respectively calculate the power station operation and maintenance resources corresponding to each alternative configuration scheme, the plurality of power station operation and maintenance resources are compared, and the target power station operation and maintenance resource is selected according to the configuration optimization target. When the configuration optimization target is to reduce the power station operation cost, the minimum value can be selected as the target power station operation and maintenance resource from the plurality of power station operation and maintenance resources.

[0119] According to an embodiment of the present disclosure, the alternative configuration scheme corresponding to the target power station operation and maintenance resource is taken as the target configuration scheme, wherein the target configuration scheme is the configuration scheme closest to the configuration optimization target in the plurality of alternative configuration schemes currently set.

[0120] According to an embodiment of the present disclosure, the corresponding power station operation and maintenance resources of each alternative configuration scheme are calculated, the target power station operation and maintenance resource and the corresponding target configuration scheme are selected according to the configuration optimization target, which can support scientific decision-making through quantitative indicators to avoid human errors, and can ensure the optimization direction according to the target orientation, and has high flexibility.

[0121] According to an embodiment of the present disclosure, based on the target configuration scheme, the plurality of remaining configuration schemes in the configuration scheme set except the target configuration scheme are updated respectively to obtain a plurality of updated configuration schemes, including: determining an average value of the configuration parameters of the energy storage system and an average value of the configuration parameters of the static synchronous compensation system based on the configuration parameters of the energy storage system and the configuration parameters of the static synchronous compensation system included in each of the plurality of candidate configuration schemes; determining an energy storage optimization direction of the configuration parameters of the energy storage system based on the average value of the configuration parameters of the energy storage system and the configuration parameters of the energy storage system included in the target configuration scheme, and determining a static synchronous compensation optimization direction of the configuration parameters of the static synchronous compensation system based on the average value of the configuration parameters of the static synchronous compensation system and the configuration parameters of the static synchronous compensation system included in the target configuration scheme; determining an energy storage optimization strategy for the energy storage system and a static synchronous compensation optimization strategy for the static synchronous compensation system based on a preset optimization step, the energy storage optimization direction and the static synchronous compensation optimization direction; for each of the remaining configuration schemes, updating the configuration parameters of the energy storage system included in the remaining configuration scheme by using the energy storage optimization strategy to obtain updated configuration parameters of the energy storage system; updating the configuration parameters of the static synchronous compensation system included in the remaining configuration scheme by using the static synchronous compensation optimization strategy to obtain updated configuration parameters of the static synchronous compensation system; and determining the updated configuration scheme based on the updated configuration parameters of the energy storage system and the updated configuration parameters of the static synchronous compensation system.

[0122] According to an embodiment of the present disclosure, the target configuration scheme is the configuration scheme closest to the configuration optimization target in the plurality of candidate configuration schemes, but since the parameters in the candidate configuration schemes are selected from the constraint conditions according to the value step, the target configuration scheme is a local optimal solution in the plurality of candidate configuration schemes, but it cannot be determined whether it is a global optimal solution under the constraint condition.

[0123] Therefore, the remaining configuration schemes except the target configuration scheme in the plurality of candidate configuration schemes can be adjusted with reference to the target configuration scheme, so that the updated configuration schemes after adjustment are closer to the target configuration scheme than the remaining configuration schemes before updating. In order to re-determine a new target configuration scheme from the plurality of updated configuration schemes after adjustment, so as to avoid falling into a local optimum.

[0124] According to an embodiment of the present disclosure, the configuration parameters of the energy storage system and the configuration parameters of the static synchronous compensation system included in each of the plurality of alternative configuration schemes are calculated, and an average value of each of the configuration parameters of the energy storage system and an average value of each of the configuration parameters of the static synchronous compensation system are obtained. The plurality of configuration parameters in the target configuration scheme are compared with the corresponding average values one by one, and the optimization direction of the configuration parameters included in each of the plurality of remaining configuration schemes is determined according to the size relationship between the configuration parameters and the average values. The optimization direction includes an energy storage optimization direction of the configuration parameters of the energy storage system and a static synchronous compensation optimization direction of the configuration parameters of the static synchronous compensation system.

[0125] According to an embodiment of the present disclosure, after the optimization direction is determined, an optimization strategy can be determined according to a preset optimization step, wherein the optimization strategy includes an energy storage optimization strategy for the energy storage system and a static synchronous compensation optimization strategy for the static synchronous compensation system. The optimization strategy for each configuration parameter is used to control the adjustment of the configuration parameter to the optimization direction according to the preset step. Therefore, after the optimization strategy is determined, each configuration parameter can be adjusted and updated according to the corresponding optimization strategy.

[0126] According to an embodiment of the present disclosure, after all the configuration parameters are updated, an updated configuration scheme is obtained by using the updated configuration parameters in the remaining configuration schemes.

[0127] For example, the configuration scheme set includes three alternative configuration schemes, and the energy capacity of the energy storage system and the reactive power of the static synchronous compensation system are different in the alternative schemes, and other configuration parameters are the same. Therefore, only the energy capacity and the reactive power need to be optimized. The alternative configuration scheme one: energy capacity: 10 MWh, reactive power: 50 MVar; the alternative configuration scheme two: energy capacity: 15 MWh, reactive power: 30 MVar; and the alternative configuration scheme three: energy capacity: 20 MWh, reactive power: 40 MVar. After the power station operation and maintenance resources corresponding to the three alternative configuration schemes are determined, it is determined that the power station operation and maintenance resources corresponding to the alternative configuration scheme two are the lowest. Therefore, the alternative configuration scheme two is determined as the target configuration scheme.

[0128] The average values of the energy capacity and the reactive power of the plurality of alternative configuration schemes are calculated, and the average value of the energy capacity is 15 MWh and the average value of the reactive power is 40 MVar. The energy capacity and the reactive power in the target configuration scheme are compared with the corresponding average values respectively, and it is determined that the average value of the energy capacity is the same as the energy capacity in the target configuration scheme, and the average value of the reactive power is larger than the reactive power in the target configuration scheme. Therefore, the energy storage optimization direction of the energy capacity indicates that the energy capacity does not need to be adjusted, and the static synchronous compensation optimization direction of the reactive power indicates that the reactive power in the remaining configuration schemes is reduced.

[0129] In the case of a preset optimization step length of 3, it is determined that the optimization strategy for the reactive power is null reactive power reduction by 3. The reactive power of the alternative configuration scheme one is adjusted to obtain 50-3=47 MVar, and thus the updated configuration scheme corresponding to the alternative configuration scheme one is: energy capacity: 10 MWh, reactive power: 47 MVar. Similarly, the updated configuration scheme corresponding to the alternative configuration scheme two is: energy capacity: 20 MWh, reactive power: 37 MVar.

[0130] According to an embodiment of the present disclosure, the average value is determined based on the alternative configuration scheme parameters, and then the configuration parameter optimization direction of the energy storage system and the static synchronous compensation system is determined. The optimization strategy is determined in combination with the preset optimization step length, and the remaining configuration scheme parameters are updated. The optimization precision can be improved by group intelligence to avoid optimization deviation caused by single scheme deviation, and directional optimization is realized to accelerate convergence. In addition, by determining the updated configuration scheme, a new configuration scheme can be introduced on the basis of the original alternative configuration scheme, so as to improve the coverage of the configuration scheme to the constraint condition, so that the iterative optimization result and the configuration optimization scheme are closer to the global optimal result, thereby improving the effect of subsequent configuration optimization.

[0131] According to an embodiment of the present disclosure, based on the target configuration scheme, the plurality of remaining configuration schemes except the target configuration scheme in the configuration scheme set are updated respectively to obtain a plurality of updated configuration schemes. The method further comprises: determining an optimization step length based on the iteration round, a preset number threshold and a preset inertia parameter; and updating the energy storage optimization strategy and the synchronous compensation optimization strategy based on the optimization step length, the optimization direction of the configuration parameter of the energy storage system and the optimization direction of the configuration parameter of the static synchronous compensation system.

[0132] According to an embodiment of the present disclosure, the preset inertia parameter includes a maximum value of an inertia weight and a minimum value of the inertia weight. Based on the iteration round t, the preset number threshold T, the maximum value of the inertia weight and the minimum value of the inertia weight , the optimization step length w(t) can be determined, as shown in formula (20):

[0133] (20)

[0134] wherein b is a damping factor, preferably b∈[0,1], and k(t) is a population evolution dispersion parameter in the spider monkey algorithm, and the determination process of k(t) is shown in formula (21):

[0135] (21)

[0136] wherein n is the number of alternative configuration schemes in the configuration scheme set, d is the number of configuration parameters included in each alternative configuration scheme, and xij the value of the jth configuration parameter in the ith alternative configuration scheme, the average value of the jth configuration parameter of the n alternative configuration schemes.

[0137] According to an embodiment of the present disclosure, after the optimization step is determined, the optimization step can be used to replace the preset optimization step, the optimization strategy is re-determined, and the original optimization strategy is updated using the re-determined optimization strategy, so that the subsequent optimization is performed using the re-determined optimization strategy.

[0138] According to an embodiment of the present disclosure, after the optimization step is determined, a random disturbance can be added to the optimization step to improve the randomness of the optimization exploration and further reduce the possibility of overfitting.

[0139] According to an embodiment of the present disclosure, the optimization step is determined based on the iteration round, the preset number threshold, and the preset inertia parameter, and the optimization strategy is updated, which can balance the search efficiency and accuracy using the adaptive step, and enhance the robustness of the algorithm using the inertia parameter, so that the algorithm can still converge stably in the new energy output fluctuation scenario.

[0140] According to an embodiment of the present disclosure, the configuration optimization method of the energy storage and static synchronous compensator of the new energy power station further comprises: determining a configuration difference between each of the plurality of updated configuration schemes and the target configuration scheme; determining a configuration difference average value based on the number of updated configuration schemes; and in a case where the configuration difference average value is less than a preset configuration difference threshold, determining that the configuration difference between the plurality of updated configuration schemes and the target configuration scheme satisfies the preset configuration difference threshold.

[0141] According to an embodiment of the present disclosure, the configuration difference between each of the plurality of updated configuration schemes and the target configuration scheme can be determined by the population evolution dispersion parameter shown in formula (21). And the configuration difference average value is calculated according to the plurality of configuration differences and the number of updated configuration schemes.

[0142] According to an embodiment of the present disclosure, in a case where the configuration difference average value is less than the preset configuration difference threshold, it indicates that the difference between the updated configuration scheme and the configuration scheme before updating is not large after continuing to update the configuration scheme, and the improvement of continuing optimization is limited. Therefore, the configuration difference between the plurality of updated configuration schemes and the target configuration scheme satisfying the preset configuration difference threshold can be determined as the preset condition.

[0143] According to an embodiment of the present disclosure, the configuration difference between the updated configuration scheme and the target configuration scheme is determined and the average value is calculated, and when the average value is less than the preset configuration difference threshold, it is determined that the condition is satisfied. The convergence condition can be quantified to avoid over-optimization to save computing resources, while ensuring the consistency and reliability of the scheme and reducing the risk of engineering implementation.

[0144] According to an embodiment of the present disclosure, based on the constraint condition, the iterative optimization on the configuration optimization target further comprises: checking the plurality of updated configuration schemes respectively by using the constraint condition; in a case where it is determined that there is an updated configuration scheme that does not satisfy the constraint condition, determining an over-limit penalty based on a proportion of over-limit configuration schemes that exceed the constraint condition, wherein the over-limit configuration scheme is the updated configuration scheme that does not satisfy the constraint condition; and updating the configuration optimization target by using the over-limit penalty.

[0145] According to an embodiment of the present disclosure, in a case where it is determined that the updated configuration scheme obtained after the iterative update on the alternative configuration scheme does not satisfy the constraint condition, it is indicated that the iterative update is over-limit, and an over-limit penalty can be added in the configuration optimization target to reduce the occurrence of over-limit in the subsequent iterative update process.

[0146] According to an embodiment of the present disclosure, the augmented Lagrange multiplier method can be used to update the configuration optimization target to add the over-limit penalty, as shown in formula (22):

[0147] (22)

[0148] wherein f(X) is the calculation formula of the power station operation and maintenance resource shown in formula (19), X is the alternative configuration scheme, λ i is the i th component of the Lagrange multiplier vector, σ i is the i th component of the penalty vector, c i (x) is the i th constraint sub-condition, and m is the number of the alternative configuration schemes.

[0149] According to an embodiment of the present disclosure, since can be used to represent the deviation from the constraint condition, therefore, according to different values, different updated configuration optimization targets can be obtained, as shown in formula (23):

[0150] (23)

[0151] According to an embodiment of the present disclosure, by constructing the updated configuration optimization target, the optimization target is converted into the minimum value of the calculation formula (23) under the constraint condition. Wherein the correction function of the Lagrange multiplier vector and the penalty vector is shown in formula (24):

[0152] (24)

[0153] In the iterative optimization process, the error is set, and when formula (25) is satisfied, it is determined that the augmented Lagrange multiplier method is terminated, that is, the iterative optimization is stopped:

[0154] (25)

[0155] wherein, is the corresponding feasibility metric, wherein, is the corresponding feasibility metric, wherein, , is the solution of the Kth constraint sub-problem.

[0156] According to the embodiments of the present disclosure, the configuration optimization scheme is checked by using the constraint condition, the over-limit configuration scheme that does not meet the condition is determined by using the over-limit ratio to determine the over-limit penalty and update the configuration optimization target, the system safety can be guaranteed by the hard constraint to avoid equipment damage, and at the same time, the safety and cost are taken into account by the penalty mechanism, so that the optimization target takes into account the stability and economy.

[0157] According to the embodiments of the present disclosure, in addition to the configuration parameters that need to be iteratively optimized as described above, there are other configuration parameters in the to-be-optimized new energy power station that are relatively fixed or irrelevant to the operation and maintenance resources of the power station. Table 1 shows the preferred values of the configuration parameters of other devices in the to-be-optimized new energy power station.

[0158] Table 1

[0159] According to the embodiments of the present disclosure, in order to determine the effect of configuration optimization by using the configuration optimization method of the new energy power station energy storage and static synchronous compensator, three comparison scenarios can be set, wherein, in scenario one, the static synchronous compensation system is not configured, only the energy storage system is configured, and the energy storage system is used to guarantee the balance of active power and reactive power of the to-be-optimized new energy power station and other constraint conditions. In scenario two, the reactive power response of the static synchronous compensation system is configured, and the energy storage system is configured, the static synchronous compensation system is used to adjust the reactive power, the energy storage system is used to adjust the active power, and the static synchronous compensation system and the energy storage system are used to jointly guarantee the power balance and other constraint conditions. In scenario three, the reactive power response of the static synchronous compensation system is configured, and the energy storage system is configured, the static synchronous compensation system is used to adjust the reactive power, the energy storage system is used to adjust the reactive power and the active power, and the static synchronous compensation system and the energy storage system are used to jointly guarantee the power balance and other constraint conditions.

[0160] In the above three scenarios, the optimization configuration results are shown in Table 2.

[0161] Table 2

[0162]

[0163] According to an embodiment of the present disclosure, since the energy storage system needs to undertake the active and reactive tasks of the entire system in scenario 1, more energy storage capacity and power are required, and the construction cost of the energy storage system will increase. However, since only the energy storage system works, the operation and maintenance cost is relatively low, the frequent charging and discharging of the energy storage system may reduce its service life, and at the same time increase other costs, C Σ其他 including C depreciation , C loss , C replacement and C labor , which is mainly due to the lack of reactive compensation that affects energy loss and large wind and light curtailment. Scenario 2 can reduce the capacity requirement of the energy storage system, and the reactive regulation does not need to be undertaken by the energy storage system, thereby possibly reducing the overall investment and operation and maintenance cost of the energy storage system, but the static synchronous compensator system increases its own investment cost and joint operation and maintenance cost of the energy storage system. In scenario 3, the energy storage system not only regulates active power but also regulates reactive power, and the capacity requirement of the energy storage system increases compared to scenario 2, but helps to improve the consumption rate of new energy, C loss at least, so that the overall investment and operation and maintenance cost is the lowest.

[0164] According to an embodiment of the present disclosure, in scenarios 2 and 3, the consumption of new energy is increased after the addition of STATCOM.

[0165] Figure 3 The comparison chart of new energy consumption before and after configuration optimization by the configuration optimization method of the energy storage and static synchronous compensator of the new energy power station according to an embodiment of the present disclosure is schematically shown.

[0166] As shown in Figure 3 , during the trough period of wind power and photovoltaic consumption, the new energy consumption before and after configuration optimization is similar. However, during the peak period of wind power and photovoltaic consumption, the new energy consumption level after configuration optimization is greatly improved. For example, at 12h, the consumption power is increased from about 650MW to about 780MW. In addition, the average consumption level of the whole period is also improved.

[0167] Figure 4 The comparison chart of wind and light curtailment power of the new energy power station to be optimized before and after configuration optimization by the configuration optimization method of the energy storage and static synchronous compensator of the new energy power station according to an embodiment of the present disclosure is schematically shown.

[0168] As shown in Figure 4 , according to the broken line chart of wind and light curtailment power before optimization and the broken line chart of wind and light curtailment power after optimization, it can be seen that, as shown in Figure 4 , the wind and light curtailment power after optimization is less than the wind and light curtailment power before optimization at all time points, and the optimization effect is more obvious at the peak period of wind and light curtailment power at 3h and 12h.

[0169] Figure 5A A comparison chart of active power before and after configuration optimization according to the configuration optimization method of new energy power station energy storage and static synchronous compensator is schematically shown.

[0170] As shown in Figure 5A According to the change of active power before and after optimization, it can be determined that the fluctuation trend of active power is unchanged before and after optimization, but the deviation of active power after optimization is reduced, and the time required from fluctuation to recovery to normal value is reduced, so the new energy power station energy storage to be optimized is more stable.

[0171] Figure 5B A comparison chart of reactive power before and after configuration optimization according to the configuration optimization method of new energy power station energy storage and static synchronous compensator is schematically shown.

[0172] As shown in Figure 5B According to the change of active power before and after optimization, it can be determined that the fluctuation trend of active power is unchanged before and after optimization, but the deviation of active power after optimization is reduced, and the time required from fluctuation to recovery to normal value is reduced, so the new energy power station energy storage to be optimized is more stable.

[0173] Figure 6 A comparison chart of system frequency response before and after configuration optimization according to the configuration optimization method of new energy power station energy storage and static synchronous compensator is schematically shown.

[0174] As shown in Figure 6 According to the system frequency response before and after optimization, it can be determined that the amplitude of the system frequency after optimization is smaller and the stability is stronger. And the time required for frequency recovery to the initial stable value is reduced. Therefore, the optimized system frequency response indicates that the system frequency recovery ability has been enhanced.

[0175] According to the embodiments of the present disclosure, by evaluating and calculating the performance of the new energy power station to be optimized before and after configuration optimization, it is determined that the wind and light power reduction is 3.1% after configuration optimization using the configuration optimization method of new energy power station energy storage and static synchronous compensator, and the minimum value of the system frequency of the new energy power station to be optimized is increased by 0.05 Hz under the condition of disturbance, and the time required for frequency recovery to normal is shortened by 12%.

[0176] Based on the above configuration optimization method of new energy power station energy storage and static synchronous compensator, the present disclosure also provides a configuration optimization device of new energy power station energy storage and static synchronous compensator. The device will be described in detail below. Figure 7

[0177] Figure 7 ​A structural block diagram of a configuration optimization apparatus of a new energy power station energy storage and static synchronous compensator according to an embodiment of the present disclosure is shown.

[0178] As shown in Figure 7 The configuration optimization apparatus 700 of the new energy power station energy storage and static synchronous compensator according to the embodiment includes a resource determination module 710, a constraint construction module 720, a configuration optimization module 730, and a scheme determination module 740.

[0179] The resource determination module 710 is configured to determine power station operation and maintenance resources of the new energy power station to be optimized based on system parameters of each of a plurality of power grid subsystems in the new energy power station to be optimized and operation and maintenance parameters of the new energy power station to be optimized, wherein the power grid subsystems at least include an energy storage system and a static synchronous compensation system, and the static synchronous compensation system includes at least one static synchronous compensator. In an embodiment, the resource determination module 710 can be configured to perform the operation S210 described above, and details are not described herein again.

[0180] The constraint construction module 720 is configured to construct constraint conditions based on configuration parameters of the energy storage system, configuration parameters of the static synchronous compensation system, a response time of the new energy power station to be optimized to a disturbance, and an injection harmonic level of the new energy power station to be optimized. In an embodiment, the constraint construction module 720 can be configured to perform the operation S220 described above, and details are not described herein again.

[0181] The configuration optimization module 730 is configured to perform iterative optimization on the configuration parameters of the energy storage system and the static synchronous compensation system based on the constraint conditions, to obtain an iterative optimization result, wherein an optimization strategy of each iteration optimization includes an optimization direction and an optimization step, the optimization step is determined according to an iteration round of the iteration optimization, the optimization step decreases with an increase of the iteration round, and the iterative optimization result makes the power station operation and maintenance resources meet a configuration optimization target. In an embodiment, the configuration optimization module 730 can be configured to perform the operation S230 described above, and details are not described herein again.

[0182] The scheme determination module 740 is configured to determine a configuration optimization scheme for the energy storage system and the static synchronous compensation system based on the iterative optimization result. In an embodiment, the scheme determination module 740 can be configured to perform the operation S240 described above, and details are not described herein again.

[0183] According to an embodiment of the present disclosure, the configuration optimization apparatus 700 can be configured to implement the configuration optimization method of the new energy power station energy storage and static synchronous compensator in the above-described embodiments. For operations that can be performed by each module of the configuration optimization apparatus 700, refer to the configuration optimization method described above, and details are not described herein again.

[0184] According to an embodiment of the present disclosure, any of the resource determining module 710, the constraint building module 720, the configuration optimizing module 730 and the scheme determining module 740 can be combined in one module, or any of them can be split into multiple modules. Alternatively, at least part of the function of one or more of these modules can be combined with at least part of the function of other modules, and implemented in one module. According to an embodiment of the present disclosure, at least one of the resource determining module 710, the constraint building module 720, the configuration optimizing module 730 and the scheme determining module 740 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on chip, a system on board, a system on package, an application specific integrated circuit (ASIC), or any other reasonable way of hardware or firmware that can be integrated or packaged with a circuit, or any one of software, hardware and firmware or any appropriate combination of several of them. Alternatively, at least one of the resource determining module 710, the constraint building module 720, the configuration optimizing module 730 and the scheme determining module 740 can be at least partially implemented as a computer program module that can perform corresponding functions when it is run.

[0185] Figure 8 A block diagram of an electronic device suitable for implementing the configuration optimization method of the energy storage and static synchronous compensator of the new energy power station according to an embodiment of the present disclosure is schematically shown.

[0186] As shown in Figure 8 The electronic device 800 according to an embodiment of the present disclosure includes a processor 801 that can perform various appropriate actions and processes according to programs stored in a read-only memory (ROM) 802 or loaded from a storage portion 808 to a random access memory (RAM) 803. The processor 801 can include, for example, a general-purpose microprocessor (such as a CPU), an instruction set processor and / or a related chipset, and / or a special-purpose microprocessor (such as an application specific integrated circuit (ASIC)), and the like. The processor 801 can also include an on-board memory for cache use. The processor 801 can include a single processing unit or multiple processing units for performing different actions of the method processes according to an embodiment of the present disclosure.

[0187] In the RAM 803, various programs and data required for the operation of the electronic device 800 are stored. The processor 801, the ROM 802, and the RAM 803 are connected to each other via the bus 804. The processor 801 performs various operations of the method flow according to the embodiments of the present disclosure by executing the programs in the ROM 802 and / or the RAM 803. It should be noted that the programs can also be stored in one or more memories other than the ROM 802 and the RAM 803. The processor 801 can also perform various operations of the method flow according to the embodiments of the present disclosure by executing the programs stored in the one or more memories.

[0188] According to an embodiment of the present disclosure, the electronic device 800 can further include an input / output (I / O) interface 805, which is also connected to the bus 804. The electronic device 800 can further include one or more of the following components connected to the input / output (I / O) interface 805: an input part 806 including a keyboard, a mouse, and the like; an output part 807 including a cathode ray tube (CRT), a liquid crystal display (LCD), and the like, and a speaker, and the like; a storage part 808 including a hard disk, and the like; and a communication part 809 including a network interface card such as a LAN card, a modem, and the like. The communication part 809 performs communication processing via a network such as the Internet. A drive 810 is also connected to the input / output (I / O) interface 805 as necessary. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, and the like is mounted on the drive 810 as necessary, so that a computer program read therefrom is installed in the storage part 808 as necessary.

[0189] The present disclosure also provides a computer readable storage medium, which can be included in the device / apparatus / system described in the above embodiments; or can exist separately without being assembled into the device / apparatus / system. The above computer readable storage medium carries one or more programs, when the one or more programs are executed, the method according to the embodiments of the present disclosure is implemented.

[0190] According to an embodiment of the present disclosure, the computer readable storage medium can be a nonvolatile computer readable storage medium, for example, can include, but is not limited to, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any appropriate combination thereof. In this disclosure, the computer readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus, or device. For example, according to an embodiment of the present disclosure, the computer readable storage medium can include the ROM 802 and / or the RAM 803 described above and / or one or more memory other than the ROM 802 and the RAM 803.

[0191] Embodiments of the present disclosure also include a computer program product, which includes a computer program containing program codes for executing the methods shown in the flowcharts. When the computer program product is run in a computer system, the program codes are used to make the computer system implement the methods provided by the embodiments of the present disclosure.

[0192] The above-described functions defined in the system / device / apparatus of the embodiments of the present disclosure are performed when the computer program is executed by the processor 801. According to an embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by computer program modules.

[0193] In one embodiment, the computer program can rely on a tangible storage medium such as an optical storage device, a magnetic storage device, etc. In another embodiment, the computer program can also be transmitted, distributed, and downloaded in the form of a signal on a network medium and installed and downloaded through the communication part 809 and / or installed from the detachable medium 811. The program codes contained in the computer program can be transmitted by any appropriate network medium, including but not limited to wireless, wired, etc., or any appropriate combination thereof.

[0194] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 809 and / or installed from the detachable medium 811. When the computer program is executed by the processor 801, the above-described functions defined in the system of the embodiments of the present disclosure are performed. According to an embodiment of the present disclosure, the system, device, apparatus, module, unit, etc. described above can be implemented by computer program modules.

[0195] According to embodiments of the present disclosure, program code of a computer program for performing the computer program provided by embodiments of the present disclosure can be written in any combination of one or more programming languages, and specifically, can be implemented using a high-level procedural and / or object-oriented programming language, and / or an assembly / machine language. Programming languages include, but are not limited to, Java, C++, python, "C" language, or similar programming languages. Program code can execute entirely on a user's computing device, partly on a user's device, partly on a remote computing device, or entirely on a remote computing device or server. In the latter scenario, the remote computing device can be connected to the user's computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computing device, such as through the Internet using an Internet Service Provider.

[0196] The flow diagrams and the block diagrams in the drawings are illustrations of architectures, functionalities, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flow diagrams or block diagrams can represent a module, a procedure, or a portion of code, which comprises one or more executable instructions for implementing the specific logical functions specified for the block. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently or in the reverse order, depending on the functionality involved. It is also noted that each block in the block diagrams or flow diagrams, and combinations of blocks in the block diagrams or flow diagrams, can be implemented by dedicated hardware-based systems which perform the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0197] Those skilled in the art will understand that features recited in various embodiments of the present disclosure can be combined and / or integrated in various combinations and / or permutations, even if such combinations and / or permutations are not expressly noted in the present disclosure. In particular, features recited in various embodiments of the present disclosure can be combined and / or integrated in various combinations and / or permutations without departing from the spirit and teachings of the present disclosure. All such combinations and / or integrations are within the scope of the present disclosure.

[0198] The embodiments of the present disclosure are described above. However, these embodiments are merely for illustration purposes, and are not intended to limit the scope of the present disclosure. Although each embodiment is described above separately, this does not mean that the measures in each embodiment cannot be used advantageously in combination. Without departing from the scope of the present disclosure, those skilled in the art can make various substitutions and modifications, and these substitutions and modifications shall fall within the scope of the present disclosure.

Claims

1. A method for optimizing the configuration of energy storage and static synchronous compensators in a new energy power plant, characterized in that, The method includes: Based on the system parameters of each of the multiple power grid subsystems in the new energy power plant to be optimized and the operation and maintenance parameters of the new energy power plant to be optimized, the operation and maintenance resources of the new energy power plant to be optimized are determined. The power grid subsystem includes at least an energy storage system and a static synchronous compensation system. The static synchronous compensation system includes at least one static synchronous compensator. Based on the configuration parameters of the energy storage system, the configuration parameters of the static synchronous compensation system, the response time of the new energy power station to disturbance and the level of injected harmonics of the new energy power station to be optimized, constraints are constructed. Based on the constraints, the configuration parameters of the energy storage system and the static synchronous compensation system are iteratively optimized to obtain iterative optimization results. The optimization strategy for each iteration includes an optimization direction and an optimization step size. The optimization step size is determined according to the iteration round of the iterative optimization. The optimization step size decreases as the iteration round increases. The iterative optimization results enable the power plant operation and maintenance resources to meet the configuration optimization objective. Based on the iterative optimization results, a configuration optimization scheme for the energy storage system and the static synchronous compensation system is determined.

2. The method according to claim 1, characterized in that, The configuration parameters of the energy storage system include charging and discharging parameters and energy capacity, and the configuration parameters of the static synchronous compensation system include reactive power. Based on the constraints, the configuration parameters of the energy storage system and the static synchronous compensation system are iteratively optimized to obtain the iterative optimization results, including: Based on the constraints, a set of optional configuration schemes for the energy storage system and the static synchronous compensation system is constructed, wherein the set of configuration schemes includes multiple alternative configuration schemes; From the multiple alternative configuration options, determine the target configuration option that best meets the configuration optimization objective; Based on the target configuration scheme, the remaining configuration schemes in the configuration scheme set, excluding the target configuration scheme, are updated to obtain multiple updated configuration schemes. If the iterative optimization is determined to meet the preset conditions, the target configuration scheme is taken as the result of the iterative optimization. The preset conditions include: the number of iterative optimizations reaches a preset number threshold, and the configuration difference between the multiple updated configuration schemes and the target configuration scheme meets a preset configuration difference threshold. If it is determined that the iterative optimization does not meet the preset conditions, the configuration scheme set is constructed using the target configuration scheme and the multiple updated configuration schemes.

3. The method according to claim 2, characterized in that, Based on the constraints, the set of optional configuration schemes for the energy storage system and the static synchronizing compensation system includes: Based on the constraints, multiple optional energy storage parameters of the energy storage system and multiple optional synchronization compensation parameters of the static synchronous compensation system are determined. By combining the multiple optional energy storage parameters and the multiple optional synchronization compensation parameters one by one, multiple alternative configuration schemes are obtained; Based on the multiple alternative configuration schemes, the configuration scheme set is constructed.

4. The method according to claim 2, characterized in that, The step of determining the target configuration scheme that best meets the configuration optimization objective from the plurality of alternative configuration schemes includes: Calculate the power plant operation and maintenance resources corresponding to each of the alternative configuration schemes; Based on the configuration optimization objective, target power plant operation and maintenance resources that meet the configuration optimization objective are selected from the plurality of power plant operation and maintenance resources, and alternative configuration schemes corresponding to the target power plant operation and maintenance resources are used as the target configuration scheme.

5. The method according to claim 2, characterized in that, Based on the target configuration scheme, the remaining configuration schemes in the configuration scheme set, excluding the target configuration scheme, are updated to obtain multiple updated configuration schemes, including: Based on the configuration parameters of the energy storage system and the configuration parameters of the static synchronous compensation system included in each of the multiple alternative configuration schemes, the average value of the configuration parameters of the energy storage system and the average value of the configuration parameters of the static synchronous compensation system are determined. Based on the average value of the configuration parameters of the energy storage system and the configuration parameters of the energy storage system included in the target configuration scheme, the energy storage optimization direction for the configuration parameters of the energy storage system is determined; based on the average value of the configuration parameters of the static synchronous compensation system and the configuration parameters of the static synchronous compensation system included in the target configuration scheme, the synchronous compensation optimization direction for the configuration parameters of the static synchronous compensation system is determined. Based on the preset optimization step size, the energy storage optimization direction, and the synchronization compensation optimization direction, an energy storage optimization strategy for the energy storage system and a synchronization compensation optimization strategy for the static synchronization compensation system are determined. For each of the remaining configuration schemes, the configuration parameters of the energy storage system included in the remaining configuration schemes are updated using the energy storage optimization strategy to obtain the updated configuration parameters of the energy storage system. Using the aforementioned synchronization compensation optimization strategy, the configuration parameters of the static synchronization compensation system included in the other configuration schemes are updated to obtain the updated configuration parameters of the static synchronization compensation system. The updated configuration scheme is determined based on the updated configuration parameters of the energy storage system and the updated configuration parameters of the static synchronous compensation system.

6. The method according to claim 5, characterized in that, The step of updating multiple configuration schemes in the configuration scheme set, excluding the target configuration scheme, based on the target configuration scheme to obtain multiple updated configuration schemes, further includes: The optimization step size is determined based on the iteration rounds, the preset number threshold, and the preset inertia parameter. Based on the optimization step size, the optimization direction of the configuration parameters of the energy storage system, and the optimization direction of the configuration parameters of the static synchronous compensation system, the energy storage optimization strategy and the synchronous compensation optimization strategy are updated respectively.

7. The method according to any one of claims 2 to 6, characterized in that, The method further includes: Determine the configuration difference between each of the plurality of updated configuration schemes and the target configuration scheme; Based on the number of the aforementioned configuration update schemes, determine the average configuration difference. If the average configuration difference is less than the preset configuration difference threshold, it is determined that the configuration difference between the plurality of updated configuration schemes and the target configuration scheme meets the preset configuration difference threshold.

8. The method according to claim 2, characterized in that, The iterative optimization of the configuration parameters of the energy storage system and the static synchronization compensation system based on the constraints further includes: Using the aforementioned constraints, the multiple update configuration schemes are checked respectively; If it is determined that there is an update configuration scheme that does not meet the constraints, an over-limit penalty is determined based on the proportion of the over-limit configuration scheme that exceeds the constraints, wherein the over-limit configuration scheme is an update configuration scheme that does not meet the constraints. The configuration optimization target is updated using the aforementioned over-limit penalty.

9. The method according to claim 1, characterized in that, The process of determining the power plant operation and maintenance resources of the new energy power plant to be optimized based on the system parameters of each of the multiple power grid subsystems in the new energy power plant to be optimized and the operation and maintenance parameters of the new energy power plant to be optimized includes: Based on the rated parameters and operating parameters of the energy storage system, the energy storage operation and maintenance resources of the energy storage system are determined, wherein the energy storage operation and maintenance resources represent the resources required to maintain the normal operation of the energy storage system; Based on the rated parameters and operating parameters of the static synchronous compensation system, the synchronous compensation operation and maintenance resources of the static synchronous compensation system are determined, wherein the synchronous compensation operation and maintenance resources represent the resources required to maintain the normal operation of the static synchronous compensation system; Based on the operation and maintenance parameters, the operation and maintenance losses of the new energy power plant to be optimized are determined, wherein the operation and maintenance losses include the equipment wear and tear costs and maintenance costs caused by the normal operation of the new energy power plant to be optimized; The power plant operation and maintenance resources are determined based on the energy storage operation and maintenance resources, the synchronous compensation operation and maintenance resources, and the operation and maintenance losses.

10. A configuration optimization device for energy storage and static synchronizing compensators in a new energy power station, characterized in that, The device includes: The resource determination module is used to determine the power plant operation and maintenance resources of the new energy power plant to be optimized based on the system parameters of each of the multiple power grid subsystems in the new energy power plant to be optimized and the operation and maintenance parameters of the new energy power plant to be optimized. The power grid subsystem includes at least an energy storage system and a static synchronous compensation system, and the static synchronous compensation system includes at least one static synchronous compensator. The constraint construction module is used to construct constraint conditions based on the configuration parameters of the energy storage system, the configuration parameters of the static synchronous compensation system, the response time of the new energy power station to disturbance, and the injected harmonic level of the new energy power station to be optimized. The configuration optimization module is used to iteratively optimize the configuration parameters of the energy storage system and the static synchronous compensation system based on the constraints, and obtain the iterative optimization result. The optimization strategy of each iteration includes the optimization direction and the optimization step size. The optimization step size is determined according to the iteration round of the iterative optimization. The optimization step size decreases as the iteration round increases. The iterative optimization result makes the power plant operation and maintenance resources meet the configuration optimization objective. The scheme determination module is used to determine the configuration optimization scheme for the energy storage system and the static synchronous compensation system based on the iterative optimization results.

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