Distributed photovoltaic energy management system based on potential energy optimization and power distribution method

Abstract

The invention belongs to the technical field of power distribution network control methods, and particularly relates to a distributed photovoltaic energy management system based on potential energy optimization and a power distribution method. In order to solve the problem that input and output of a power distribution network are not matched after a distributed power grid is accessed, the invention provides a system and a method for determining various control parameters by establishing an optimization model function by taking an input and output target result as a guide. Meanwhile, a power distribution method is provided in combination with the distributed photovoltaic energy management system based on potential energy optimization, and is used for optimizing power distribution between distributed photovoltaic power generation devices and other types of power generation devices in a power distribution network, so that power grid power control can be carried out more reasonably and scientifically.

Description

Technical Field

[0001] This invention belongs to the technical field of power distribution network control methods, and particularly relates to a distributed photovoltaic energy management system and power allocation method based on potential energy optimization. Background Technology

[0002] With the development and application of new energy power generation technologies such as distributed photovoltaic grids, the power supply capacity of photovoltaic power generation systems in distribution network power supply systems has been continuously improved. Utilizing its stable output capacity, it can effectively enhance the power supply reliability of the distribution network during high-load power supply cycles such as weekdays. In this process, it is necessary to effectively control the energy output of distributed photovoltaic grids and other power generation equipment to meet the needs of different distribution areas and different power loads. Summary of the Invention

[0003] The purpose of this invention is to provide a distributed photovoltaic energy management system and power allocation method based on potential energy optimization to meet the energy output control and load management requirements of distribution networks containing distributed photovoltaic power generation devices.

[0004] To achieve the above objectives, the present invention adopts the following technical solution.

[0005] A distributed photovoltaic energy management system based on potential energy optimization consists of a power supply and distribution center, a power distribution area, several parallel power distribution trunk lines, a communication unit, a voltage conversion unit, and a regional measurement unit.

[0006] The distributed photovoltaic energy management system based on potential energy optimization has several regional power distribution modules. Each regional power distribution module consists of a communication unit, a voltage conversion unit, a regional measurement unit, and several power distribution areas.

[0007] The voltage conversion unit includes several voltage conversion devices. Several voltage conversion devices in the same voltage conversion unit are connected to the same power distribution trunk line. The load of the power distribution area in the regional power distribution module is provided by the voltage conversion unit in the module.

[0008] The communication unit includes a communication device for controlling internal communication between voltage conversion devices within the power distribution module in the area, and for transmitting data with communication units in other power distribution modules.

[0009] The regional measurement unit includes a monitoring device for acquiring power distribution parameters of the power distribution area within the power distribution module of the region.

[0010] Further improvements or specific implementation steps of the aforementioned distributed photovoltaic energy management system based on potential energy optimization include the following: the power supply and distribution center is equipped with PC equipment, servers, and storage devices; the PC equipment is used to create models, run models, and perform objective function calculations, and to create a model and algorithm running support program platform; the servers are used to perform data computation and model optimization analysis; and the storage devices are used for data storage and retrieval.

[0011] In further improvements or specific implementation steps of the aforementioned potential energy optimization-based distributed photovoltaic energy management system, the power supply and distribution center is used for:

[0012] Establish an equivalent control model for the conversion device based on state variable control.

[0013]

[0014] in, The input current of the voltage conversion device. The input voltage of the voltage conversion device. The output current of the voltage conversion device. The output voltage of the voltage conversion device. The duty cycle of the voltage conversion device. The equivalent inductance of the voltage conversion device, The equivalent capacitance of the voltage conversion device. It is a time variable;

[0015] Configure the integral controller for the voltage conversion device and establish a state transition model for the conversion device.

[0016]

[0017] in and These are the state variables of the integral controller in the voltage conversion device. It is the control variable of the integral controller of the voltage conversion device;

[0018] Based on the equivalent control model and state transition model of the switching device, the state control model of the switching device, expressed by state variables, is determined.

[0019] .

[0020] In further improvements or specific implementation steps of the aforementioned potential energy optimization-based distributed photovoltaic energy management system, the power supply and distribution center is used for:

[0021] Establish a system state control matrix based on the current regional power distribution module sequence and the internal voltage conversion device sequence of the regional power distribution module.

[0022]

[0023]

[0024]

[0025] in and It refers to the input current and current change state variables in the state control model corresponding to the nth voltage conversion device within the mth regional power distribution module. It refers to the control variable in the state control model corresponding to the nth voltage conversion device within the mth regional power distribution module;

[0026] Each distribution area load is considered as a joint load directly handled by the voltage conversion devices within the regional distribution module, and an independent load equivalent control model is established.

[0027]

[0028] in This refers to the combined load body equivalent input current, where This refers to the combined load equivalent input voltage. This refers to the load in the power distribution area;

[0029] Configure a load integral controller for the power distribution area and establish a load state transition model.

[0030]

[0031] in It is the input power status variable of the load integral controller. It is the state variable of the change in power of the load integral controller;

[0032] Based on the load equivalent control model and the load state transition model, the load state control model expressed by state variables is determined.

[0033]

[0034] in This refers to the access indicator function. It is the load value; where It refers to the control variable of the load integral controller in the power distribution area.

[0035] In a further improvement or specific implementation step of the aforementioned distributed photovoltaic energy management system based on potential energy optimization, the power supply and distribution center is used to: establish a system state control matrix based on the current regional power distribution module sequence and the sequence of joint loads within the regional power distribution modules.

[0036]

[0037]

[0038]

[0039] in and This refers to the state variable of the nth joint load. This refers to the control variable of the nth joint load body;

[0040] The aforementioned integral controller is used to ensure the effective operation of the corresponding loads within the regional distribution network module as much as possible, and its control objective is expressed as follows:

[0041] ;

[0042] in This refers to the connection indication function for the nth voltage conversion device within the mth area power distribution module. If connected, then... otherwise In most cases, load management to meet regional electricity load requirements mainly focuses on high-load periods caused by the simultaneous connection of most loads within the region. Therefore, to simplify the analysis, the control objective is expressed as the condition where all loads are connected, i.e. The situation.

[0043] In further improvements or specific implementation steps of the aforementioned potential energy optimization-based distributed photovoltaic energy management system, the power supply and distribution center is used for:

[0044] Simultaneous modeling is used to establish a system optimization model for a distributed photovoltaic energy management system based on potential energy optimization.

[0045]

[0046] in This refers to the input voltage of the nth voltage conversion device within the mth area power distribution module. This refers to the total power of the distribution network;

[0047] It refers to the position located at the 1st The input voltage of the nth voltage conversion device on a power distribution trunk line It refers to the position located at the 1st The input current of the nth voltage conversion device on a power distribution main line It refers to the first The total power transmitted by each distribution trunk line.

[0048] In further improvements or specific implementation steps of the aforementioned potential energy optimization-based distributed photovoltaic energy management system, the power supply and distribution center is used for:

[0049] Based on the dual-integral control of the system consisting of the aforementioned voltage conversion device integral controller and the distribution area load integral controller, in order to ensure that the system state under the control of the integral controller is close to the expected state, and in order to facilitate effective control of the integral controller, a potential energy function is used to control it:

[0050] Define the potential energy function associated with the integral controller of the voltage conversion device. ;

[0051] in The integral controller positive potential energy represents the energy that causes the system state to evolve towards the overdue state. Its physical meaning is that it only satisfies the maximum load limit under available conditions. It represents the reverse potential energy of the system state caused by constraints;

[0052] ;

[0053] in It is a control factor. ;and ;

[0054] Define the potential energy function associated with the combined load volume integral controller. ;

[0055] This represents the positive potential energy that matches the load current with the output current of the converter.

[0056] This represents the reverse potential energy that maximizes the total service load.

[0057] In further improvements or specific implementation steps of the aforementioned potential energy optimization-based distributed photovoltaic energy management system, the power supply and distribution center is used for:

[0058] Based on the aforementioned potential energy function, to ensure higher performance of the photovoltaic grid output, it should have the maximum positive potential energy. Therefore, the optimization objective model of the entire system can be expressed as:

[0059]

[0060] in This refers to the constraint that the total current of the line is less than the total current supplied by the photovoltaic power generation. It refers to the first The constraint that the output current of a single power distribution trunk line is less than the total current transmitted by the trunk line.

[0061] A solver is established, relevant configuration parameters of the distribution network are updated, and relevant control signals of the integral controller are solved according to the optimization target model to complete the control of the distributed photovoltaic power grid.

[0062] Further improvements or specific implementation steps for the aforementioned distributed photovoltaic energy management system based on potential energy optimization also include: periodically updating or updating the integral controller parameters when relevant configuration parameters of the distribution network change.

[0063] A power allocation method for a distributed photovoltaic energy management system includes:

[0064] Establish a cost optimization target model for distributed photovoltaic power grids

[0065] Distributed photovoltaic (PV) grids are typically used as part of a regional distribution network. The cost function of a distribution network that includes distributed PV power generation equipment is: ;in This refers to the operating cost of photovoltaic power generation. This refers to the operating cost of the generator set. This refers to the cost of grid energy storage;

[0066] Operating costs of photovoltaic power generation ,in This represents the operating cost coefficient of photovoltaic power generation equipment. It refers to the first The output power of each power generation device; This refers to the total number of photovoltaic power generation devices;

[0067] generator set operating costs ,in This refers to the output power of generator sets within the power distribution network. This refers to the total number of generator sets, of which This is the generator set operating cost coefficient;

[0068] Grid energy storage costs ;in This represents the cost coefficient for using energy storage devices; This refers to the total number of energy storage devices. This refers to the capacity of the energy storage device;

[0069] To ensure the effectiveness of power supply in the regional distribution network, a balance between load supply and demand must be maintained, which is represented as... ;in It is the total load demand of the regional power distribution network;

[0070] Based on this, the cost optimization objective model for distributed photovoltaic power grids can be expressed as follows:

[0071] ;

[0072] The constraints include:

[0073]

[0074]

[0075]

[0076] in This refers to the minimum output power limit of photovoltaics, where This refers to the maximum output power limit of photovoltaics;

[0077] in This refers to the minimum output power limit of photovoltaics, where This refers to the maximum output power limit of photovoltaics;

[0078] Solve the cost optimization objective model for distributed photovoltaic power grids to determine the optimal power allocation. Attached Figure Description

[0079] Figure 1 This is a schematic diagram of a distributed photovoltaic energy management system based on potential energy optimization. Detailed Implementation

[0080] The present invention will be described in detail below with reference to specific embodiments.

[0081] This invention relates to a distributed photovoltaic energy management system based on potential energy optimization. To address issues such as input-output mismatch in distribution networks after distributed grid integration, it proposes a system and method that uses input-output target results as a guide and establishes optimization model functions to determine various control parameters. Furthermore, in conjunction with this potential energy optimization-based distributed photovoltaic energy management system, it provides a power allocation method to optimize the power allocation among distributed photovoltaic power generation devices and other types of power generation devices within the distribution network, thereby facilitating more rational and scientific grid power control.

[0082] In this application, the distributed photovoltaic energy management system based on potential energy optimization mainly consists of a power supply and distribution center, a power distribution area, several parallel power distribution trunk lines, a communication unit, a voltage conversion unit, and a regional measurement unit.

[0083] like Figure 1 As shown, the distributed photovoltaic energy management system based on potential energy optimization has several regional power distribution modules. Each regional power distribution module consists of a communication unit, a voltage conversion unit, a regional measurement unit, and several power distribution areas.

[0084] The voltage conversion unit includes several voltage conversion devices. Several voltage conversion devices in the same voltage conversion unit are connected to the same power distribution trunk line. The load of the power distribution area in the regional power distribution module is provided by the voltage conversion unit in the module.

[0085] The communication unit includes a communication device for controlling internal communication between voltage conversion devices within the power distribution module in the area, and for transmitting data with communication units in other power distribution modules.

[0086] The regional measurement unit includes a monitoring device for acquiring power distribution parameters of the power distribution area within the power distribution module of the region;

[0087] The power distribution center is equipped with PC equipment, servers, and storage devices;

[0088] PC devices are used to create models, run models, and perform objective function calculations. They also serve as a platform to support the creation of models and the execution of algorithms.

[0089] Servers are used to perform data processing and model optimization analysis; storage devices are used for data storage and retrieval.

[0090] The power supply and distribution center is used to perform the following control functions:

[0091] A. Establish an equivalent control model for the conversion device based on state variable control.

[0092]

[0093] in, The input current of the voltage conversion device. The input voltage of the voltage conversion device. The output current of the voltage conversion device. The output voltage of the voltage conversion device. The duty cycle of the voltage conversion device. The equivalent inductance of the voltage conversion device, The equivalent capacitance of the voltage conversion device. It is a time variable;

[0094] B. Configure the integral controller for the voltage conversion device and establish a state transition model for the conversion device.

[0095]

[0096] in and These are the state variables of the integral controller in the voltage conversion device. It is the control variable of the integral controller of the voltage conversion device;

[0097] C. Based on the equivalent control model and state transition model of the switching device, determine the state control model of the switching device expressed by state variables.

[0098] ;

[0099] Establish a system state control matrix based on the current regional power distribution module sequence and the internal voltage conversion device sequence of the regional power distribution module.

[0100]

[0101]

[0102]

[0103] in and It refers to the input current and current change state variables in the state control model corresponding to the nth voltage conversion device within the mth regional power distribution module. It refers to the control variable in the state control model corresponding to the nth voltage conversion device within the mth regional power distribution module;

[0104] D. Treat the load of each distribution area as a joint load directly handled by the voltage conversion devices within the regional distribution module, and establish an independent load equivalent control model.

[0105]

[0106] in This refers to the combined load body equivalent input current, where This refers to the combined load equivalent input voltage. This refers to the load in the power distribution area;

[0107] Configure a load integral controller for the power distribution area and establish a load state transition model.

[0108]

[0109] in It is the input power status variable of the load integral controller. It is the state variable of the change in power of the load integral controller;

[0110] E. Based on the load equivalent control model and the load state transition model, determine the load state control model expressed by state variables.

[0111]

[0112] in This refers to the access indicator function. It is the load value; where This refers to the control variables of the load integral controller in the power distribution area.

[0113] Establish a system state control matrix based on the current regional power distribution module sequence and the sequence of joint loads within the regional power distribution modules.

[0114]

[0115]

[0116]

[0117] in and This refers to the state variable of the nth joint load. This refers to the control variable of the nth joint load body;

[0118] F. The aforementioned integral controller is used to ensure the effective operation of each load within the regional distribution network module as much as possible. Its control objective is expressed as follows:

[0119] ;

[0120] in This refers to the connection indication function for the nth voltage conversion device within the mth area power distribution module. If connected, then... otherwise In most cases, load management to meet regional electricity load requirements mainly focuses on high-load periods caused by the simultaneous connection of most loads within the region. Therefore, to simplify the analysis, the control objective is expressed as the condition where all loads are connected, i.e. The situation;

[0121] By combining the aforementioned models, a system optimization model for a distributed photovoltaic energy management system based on potential energy optimization is established.

[0122]

[0123] in This refers to the input voltage of the nth voltage conversion device within the mth area power distribution module. This refers to the total power of the distribution network;

[0124] It refers to the position located at the 1st The input voltage of the nth voltage conversion device on a power distribution trunk line It refers to the position located at the 1st The input current of the nth voltage conversion device on a power distribution main line It refers to the first The total power transmitted by each power distribution trunk line;

[0125] Based on the dual-integral control of the system consisting of the aforementioned voltage conversion device integral controller and the distribution area load integral controller, in order to ensure that the system state under the control of the integral controller is close to the expected state, and in order to facilitate effective control of the integral controller, a potential energy function is used to control it:

[0126] Define the potential energy function associated with the integral controller of the voltage conversion device. ;

[0127] in The integral controller positive potential energy represents the energy that causes the system state to evolve towards the overdue state. Its physical meaning is that it only satisfies the maximum load limit under available conditions. It represents the reverse potential energy of the system state caused by constraints;

[0128] ;

[0129] in It is a control factor. ;and ;

[0130] Define the potential energy function associated with the combined load volume integral controller. ;

[0131] This represents the positive potential energy that matches the load current with the output current of the converter.

[0132] This represents the reverse potential energy that maximizes the total service load.

[0133] Based on the aforementioned potential energy function, to ensure higher performance of the photovoltaic grid output, it should have the maximum positive potential energy. Therefore, the optimization objective model of the entire system can be expressed as:

[0134]

[0135] in This refers to the constraint that the total current of the line is less than the total current supplied by the photovoltaic power generation. It refers to the first The constraint that the output current of a single power distribution trunk line is less than the total current transmitted by the trunk line.

[0136] Establish a solver, update relevant configuration parameters of the distribution network, and solve for relevant control signals of the integral controller based on the optimization target model to complete the control of the distributed photovoltaic power grid;

[0137] Update the integral controller parameters regularly or when the relevant configuration parameters of the distribution network change.

[0138] Based on the foregoing, in order to achieve power distribution between photovoltaic power generation devices and traditional power generation devices within the distribution network, this application also provides a power distribution method based on the aforementioned system, the specific steps of which include:

[0139] Establish a cost optimization target model for distributed photovoltaic power grids

[0140] Distributed photovoltaic (PV) grids are typically used as part of a regional distribution network. The cost function of a distribution network that includes distributed PV power generation equipment is: ;in This refers to the operating cost of photovoltaic power generation. This refers to the operating cost of the generator set. This refers to the cost of grid energy storage;

[0141] Operating costs of photovoltaic power generation ,in This represents the operating cost coefficient of photovoltaic power generation equipment. It refers to the first The output power of each power generation device; This refers to the total number of photovoltaic power generation devices;

[0142] generator set operating costs ,in This refers to the output power of generator sets within the power distribution network. This refers to the total number of generator sets, of which This is the generator set operating cost coefficient;

[0143] Grid energy storage costs ;in This represents the cost coefficient for using energy storage devices; This refers to the total number of energy storage devices. This refers to the capacity of the energy storage device;

[0144] To ensure the effectiveness of power supply in the regional distribution network, a balance between load supply and demand must be maintained, which is represented as... ;in It is the total load demand of the regional power distribution network;

[0145] Based on this, the cost optimization objective model for distributed photovoltaic power grids can be expressed as follows:

[0146] ;

[0147] The constraints include:

[0148]

[0149]

[0150]

[0151] in This refers to the minimum output power limit of photovoltaics, where This refers to the maximum output power limit of photovoltaics;

[0152] in This refers to the minimum output power limit of photovoltaics, where This refers to the maximum output power limit of photovoltaics;

[0153] Solve the cost optimization objective model for distributed photovoltaic power grids to determine the optimal power allocation.

[0154] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. A distributed photovoltaic energy management system based on potential energy optimization, characterized in that, It consists of a power supply and distribution center, a power distribution area, several parallel power distribution trunk lines, a communication unit, a voltage conversion unit, and a regional measurement unit; The distributed photovoltaic energy management system based on potential energy optimization has several regional power distribution modules. Each regional power distribution module consists of a communication unit, a voltage conversion unit, a regional measurement unit, and several power distribution areas. The voltage conversion unit includes several voltage conversion devices. Several voltage conversion devices in the same voltage conversion unit are connected to the same power distribution trunk line. The load of the power distribution area in the regional power distribution module is provided by the voltage conversion unit in the module. The communication unit includes a communication device for controlling internal communication between voltage conversion devices within the power distribution module in the area, and for transmitting data with communication units in other power distribution modules. The regional measurement unit includes a monitoring device for acquiring power distribution parameters of the power distribution area within the power distribution module of the region.

2. The distributed photovoltaic energy management system based on potential energy optimization according to claim 1, characterized in that, The power supply and distribution center is equipped with PC equipment, servers, and storage devices; the PC equipment is used to create models, run models, and perform objective function calculations, and to create model and run algorithm support program platforms; Servers are used to perform data processing and model optimization analysis; storage devices are used for data access.

3. The distributed photovoltaic energy management system based on potential energy optimization according to claim 2, characterized in that, The power supply and distribution center is used for: Establish an equivalent control model for the conversion device based on state variable control. in, The input current of the voltage conversion device. The input voltage of the voltage conversion device. The output current of the voltage conversion device. The output voltage of the voltage conversion device. The duty cycle of the voltage conversion device. The equivalent inductance of the voltage conversion device, The equivalent capacitance of the voltage conversion device. It is a time variable; Configure the integral controller for the voltage conversion device and establish a state transition model for the conversion device. in and These are the state variables of the integral controller in the voltage conversion device. It is the control variable of the integral controller of the voltage conversion device; Based on the equivalent control model and state transition model of the switching device, the state control model of the switching device, expressed by state variables, is determined. 。 4. The distributed photovoltaic energy management system based on potential energy optimization according to claim 3, characterized in that, The power supply and distribution center is used for: Establish a system state control matrix based on the current regional power distribution module sequence and the internal voltage conversion device sequence of the regional power distribution module. in and It refers to the input current and current change state variables in the state control model corresponding to the nth voltage conversion device within the mth regional power distribution module. It refers to the control variable in the state control model corresponding to the nth voltage conversion device within the mth regional power distribution module; Each distribution area load is considered as a joint load directly handled by the voltage conversion devices within the regional distribution module, and an independent load equivalent control model is established. in This refers to the combined load body equivalent input current, where This refers to the combined load equivalent input voltage. This refers to the load in the power distribution area; Configure a load integral controller for the power distribution area and establish a load state transition model. in It is the input power status variable of the load integral controller. It is the state variable of the change in power of the load integral controller; Based on the load equivalent control model and the load state transition model, the load state control model expressed by state variables is determined. in This refers to the access indicator function. It is the load value; where It refers to the control variable of the load integral controller in the power distribution area.

5. The distributed photovoltaic energy management system based on potential energy optimization according to claim 4, characterized in that, The power supply and distribution center is used to: establish a system state control matrix based on the current regional power distribution module sequence and the sequence of joint loads within the regional power distribution modules. in and This refers to the state variable of the nth joint load. This refers to the control variable of the nth joint load body; The aforementioned integral controller is used to ensure the effective operation of the corresponding loads within the regional distribution network module as much as possible, and its control objective is expressed as follows: ； in This refers to the connection indication function for the nth voltage conversion device within the mth area power distribution module. If connected, then... otherwise In most cases, load management to meet regional electricity load requirements mainly focuses on high-load periods caused by the simultaneous connection of most loads within the region. Therefore, to simplify the analysis, the control objective is expressed as the condition where all loads are connected, i.e. The situation.

6. The distributed photovoltaic energy management system based on potential energy optimization according to claim 5, characterized in that, The power supply and distribution center is used for: Simultaneous modeling is used to establish a system optimization model for a distributed photovoltaic energy management system based on potential energy optimization. in This refers to the input voltage of the nth voltage conversion device within the mth area power distribution module. This refers to the total power of the distribution network; It refers to the position located at the 1st The input voltage of the nth voltage conversion device on a power distribution trunk line It refers to the position located at the 1st The input current of the nth voltage conversion device on a power distribution main line It refers to the first The total power transmitted by each distribution trunk line.

7. The distributed photovoltaic energy management system based on potential energy optimization according to claim 6, characterized in that, The power supply and distribution center is used for: Based on the dual-integral control of the system consisting of the aforementioned voltage conversion device integral controller and the distribution area load integral controller, in order to ensure that the system state under the control of the integral controller is close to the expected state, and in order to facilitate effective control of the integral controller, a potential energy function is used to control it: Define the potential energy function associated with the integral controller of the voltage conversion device. ; in The integral controller positive potential energy represents the energy that causes the system state to evolve towards the overdue state. Its physical meaning is that it only satisfies the maximum load limit under available conditions. It represents the reverse potential energy of the system state caused by constraints; ； in It is a control factor. ;and ; Define the potential energy function associated with the combined load volume integral controller. ; This represents the positive potential energy that matches the load current with the output current of the converter. This represents the reverse potential energy that maximizes the total service load.

8. The distributed photovoltaic energy management system based on potential energy optimization according to claim 7, characterized in that, The power supply and distribution center is used for: Based on the aforementioned potential energy function, to ensure higher performance of the photovoltaic grid output, it should have the maximum positive potential energy. Therefore, the optimization objective model of the entire system can be expressed as: in This refers to the constraint that the total current of the line is less than the total current supplied by the photovoltaic power generation. It refers to the first The constraint that the output current of a single power distribution trunk line is less than the total current transmitted by the trunk line. A solver is established, relevant configuration parameters of the distribution network are updated, and relevant control signals of the integral controller are solved according to the optimization target model to complete the control of the distributed photovoltaic power grid.

9. A distributed photovoltaic energy management system based on potential energy optimization as described in claim 8, characterized in that, Also includes: Update the integral controller parameters regularly or when the relevant configuration parameters of the distribution network change.

10. A power allocation method for the distributed photovoltaic energy management system of claim 9, characterized in that, include: Establish a cost optimization target model for distributed photovoltaic power grids Distributed photovoltaic (PV) grids are typically used as part of a regional distribution network. The cost function of a distribution network that includes distributed PV power generation equipment is: ;in This refers to the operating cost of photovoltaic power generation. This refers to the operating cost of the generator set. This refers to the cost of grid energy storage; Operating costs of photovoltaic power generation ,in This represents the operating cost coefficient of photovoltaic power generation equipment. It refers to the first The output power of each power generation device; This refers to the total number of photovoltaic power generation devices; generator set operating costs ,in This refers to the output power of generator sets within the power distribution network. This refers to the total number of generator sets, of which This is the generator set operating cost coefficient; Grid energy storage costs ;in This represents the cost coefficient for using energy storage devices; This refers to the total number of energy storage devices. This refers to the capacity of the energy storage device; To ensure the effectiveness of power supply in the regional distribution network, a balance between load supply and demand must be maintained, which is represented as... ;in It is the total load demand of the regional power distribution network; Based on this, the cost optimization objective model for distributed photovoltaic power grids can be expressed as follows: ； The constraints include: in This refers to the minimum output power limit of photovoltaics, where This refers to the maximum output power limit of photovoltaics; in This refers to the minimum output power limit of photovoltaics, where This refers to the maximum output power limit of photovoltaics; Solve the cost optimization objective model for distributed photovoltaic power grids to determine the optimal power allocation.

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