Rural micro-grid source storage load cooperative inertia control method, system, equipment and medium

Abstract

The invention discloses a rural micro-grid source storage load cooperative inertia control method, system and equipment and a medium. A micro-grid is connected with a distributed photovoltaic and energy storage device and a controllable load; the method comprises the following steps: acquiring a voltage signal and a current signal of a distributed photovoltaic grid-connected point, generating an instruction value signal in combination with a power set value, and controlling the power output of the distributed photovoltaic grid-connected point by using the instruction value signal; acquiring working parameters of the distributed photovoltaic device to determine energy storage output of the energy storage device; and obtaining the internal net power of the current rural micro-grid, and controlling the switching of each controllable load of the rural micro-grid, so that the internal net power tends to 0. According to the method, external factors of the rural micro-grid are considered, the heterogeneous distributed energy adaptive control reference power is coordinated and optimized, and robust control of the rural grid-connected micro-grid with internal and external auto-disturbance rejection capability is completed.

Description

Technical Field

[0001] The present invention belongs to the field of microgrid control, and in particular relates to a rural microgrid source-storage-load coordinated inertia control method, system, equipment and medium. Background Art

[0002] As the number of distributed renewable energy, distributed energy storage and electric vehicles in rural distribution networks continues to increase, the proportion of distributed sources and loads in rural distribution networks is high, and the distribution space is dispersed. The support capacity of a single device is limited, and the dynamic characteristics of multiple devices vary greatly, making it difficult to coordinate and control in an orderly manner. At the same time, village-level microgrids cover many types of sources and loads, and the operation of light-storage-charging-grid-load in multiple operating scenarios is easily affected by factors such as distributed photovoltaics, seasonal loads, randomness of charging vehicles, and grid demand status. The existing village-level microgrid management system lacks efficient collaborative control technology for self-balancing needs. Summary of the invention

[0003] The purpose of the present invention is to provide a rural microgrid source-storage-load coordinated inertia control method, system, device and medium, which can improve the coordination effect of distributed energy virtual inertia support in rural microgrids.

[0004] In order to achieve the above object, the solution of the present invention is:

[0005] A rural microgrid source-storage-load coordinated inertia control method, wherein the microgrid is connected with distributed photovoltaic, energy storage devices and controllable loads; comprising:

[0006] Obtaining a voltage signal and a current signal of a distributed photovoltaic grid-connected point, generating a command value signal according to the voltage signal and the current signal of the distributed photovoltaic grid-connected point in combination with a power setting value, and controlling the power output of the distributed photovoltaic with the command value signal;

[0007] Obtain the operating parameters of distributed photovoltaics to determine the energy storage output of the energy storage device;

[0008] The current internal net power of the rural microgrid is obtained, and the switching of each controllable load of the rural microgrid is controlled to make the internal net power approach 0; wherein the internal net power of the rural microgrid is obtained according to the sum of the output power of the distributed photovoltaic power generation and the energy storage output of the energy storage device minus the power demand of the primary load in the rural microgrid.

[0009] The method for obtaining the power setting value includes:

[0010] Build a simulation model of a rural microgrid;

[0011] Based on the actual operating status of the rural microgrid, the simulation model is operated under different photovoltaic powers, and the photovoltaic power when the operation of the simulation model meets expectations is used as the power setting value.

[0012] The voltage signal and current signal of the distributed photovoltaic grid-connected point are obtained, and a command value signal is generated in combination with a power setting value, and the power output of the distributed photovoltaic is controlled by the command value signal, including:

[0013] Obtain voltage and current signals of distributed photovoltaic grid-connected points;

[0014] A first control signal is obtained by performing reactive-frequency control on the active power setting value, and a second control signal is obtained by performing reactive-voltage control on the reactive power setting value; wherein the power setting value includes an active power setting value and a reactive power setting value;

[0015] Obtaining an instruction value signal based on the first control signal and the second control signal;

[0016] A duty cycle signal is obtained based on the command value signal, and the power output of the distributed photovoltaic is controlled according to the duty cycle signal.

[0017] Among them, obtaining the operating parameters of distributed photovoltaics to determine the energy storage output of the energy storage device includes:

[0018] Obtaining capacitor voltage on the distributed photovoltaic power generation side;

[0019] When the capacitor voltage is lower than the initial value, the energy storage output of the energy storage device is determined based on the frequency deviation and frequency change rate of the distributed photovoltaic grid-connected point; when the capacitor voltage is equal to the initial value, the energy storage output of the energy storage device is determined based on the capacitor voltage.

[0020] The energy storage output of the energy storage device is determined based on the frequency deviation and frequency change rate of the distributed photovoltaic grid-connected point, including:

[0021] Get the frequency f of the distributed photovoltaic grid-connected point act , calculate the frequency f act With reference frequency f ref The frequency deviation e(t) between them;

[0022] The frequency deviation e(t) is differentiated to obtain the frequency change rate RoCoF;

[0023] According to the frequency f of the distributed photovoltaic grid-connected point act , frequency change rate RoCoF, frequency deviation e(t) are used to perform the following PID control to determine the energy storage output u(t) of the energy storage device.

[0024] u(t)=K p e(t)+K i ∫e(t)dt+K d RoCoF

[0025] Among them, K pis the proportionality coefficient, K i is the integration coefficient, K d is the differential coefficient.

[0026] Wherein, determining the energy storage output of the energy storage device based on the capacitor voltage includes:

[0027] Obtaining a voltage deviation between a capacitor voltage on a distributed photovoltaic power generation side and a voltage reference value;

[0028] The voltage deviation is used as an input variable, the frequency response performance is used as a reference factor, and fuzzy control is adopted to obtain the energy storage output of the energy storage device.

[0029] Among them, the control of the switching of various controllable loads of the rural microgrid includes:

[0030] Obtaining the actual value of each controllable load of the rural microgrid, and calculating the importance index of each controllable load according to the actual value of each controllable load;

[0031] The switching of each controllable load is determined according to the importance index of each controllable load.

[0032] Among them, the actual value of each controllable load of the rural microgrid is obtained, and the importance index of each controllable load is calculated according to the actual value of each controllable load, including:

[0033] Obtaining an actual value of a controllable load of a rural microgrid; wherein the actual value of the controllable load includes an actual value of a load sensitivity, an actual value of a load scale, and an actual value of a load damage degree;

[0034] Based on the actual value of the controllable load, the expert scoring method is used to score each load index of the controllable load to obtain the score of each load index of the controllable load; wherein each load index includes load sensitivity, load scale, and load damage degree;

[0035] Standardizing the scores of the load indicators of the controllable load to obtain entropy values ​​of the load indicators of the controllable load, and determining the difference coefficients of the load indicators of the controllable load according to the entropy values ​​of the load indicators;

[0036] Based on the difference coefficient of each load index of the controllable load, obtaining the weight of each load index of the controllable load;

[0037] Based on the weight and score of each load index of the controllable load, the importance index of the controllable load is calculated.

[0038] Wherein, according to the importance index of each controllable load, determining the switching of each controllable load includes:

[0039] Taking the source-load complementarity index as the main basis and the importance index as the secondary basis, the comprehensive index of each controllable load is obtained;

[0040] The controllable loads are ranked based on their comprehensive indicators. When the threshold indicator is a positive value, the controllable loads are put into operation in sequence according to the rule that the ones with high comprehensive indicators are put into operation first and the ones with low comprehensive indicators are put into operation later. When the threshold indicator is a negative value, the controllable loads are removed in sequence according to the rule that the ones with low comprehensive indicators are removed first and the ones with high comprehensive indicators are removed later. Among them, the threshold indicator is the internal net power of the rural microgrid.

[0041] A source-storage-load coordinated inertia control system based on a rural microgrid, wherein the microgrid is connected with distributed photovoltaic, energy storage devices and controllable loads; comprising:

[0042] A distributed photovoltaic power output control module is configured to obtain a voltage signal and a current signal of a distributed photovoltaic grid-connected point, generate a command value signal according to the voltage signal and the current signal of the distributed photovoltaic grid-connected point and a power setting value, and control the power output of the distributed photovoltaic with the command value signal;

[0043] An energy storage device energy storage output control module is configured to obtain operating parameters of distributed photovoltaics to determine the energy storage output of the energy storage device; and

[0044] The controllable load switching control module is configured to obtain the current internal net power of the rural microgrid and control the switching of each controllable load of the rural microgrid so that the internal net power tends to 0; wherein the internal net power of the rural microgrid is obtained according to the sum of the output power of the distributed photovoltaic and the energy storage output of the energy storage device minus the primary load demand power in the rural microgrid.

[0045] The distributed photovoltaic power output control module generates a command value signal in combination with a power setting value, wherein a method for obtaining the power setting value includes:

[0046] Build a simulation model of a rural microgrid;

[0047] Based on the actual operating status of the rural microgrid, the simulation model is operated under different photovoltaic powers, and the photovoltaic power when the operation of the simulation model meets expectations is used as the power setting value.

[0048] The distributed photovoltaic power output control module obtains the voltage signal and current signal of the distributed photovoltaic grid-connected point, generates a command value signal in combination with the power setting value, and controls the power output of the distributed photovoltaic with the command value signal, including:

[0049] Obtain voltage and current signals of distributed photovoltaic grid-connected points;

[0050] A first control signal is obtained by performing reactive-frequency control on the active power setting value, and a second control signal is obtained by performing reactive-voltage control on the reactive power setting value; wherein the power setting value includes an active power setting value and a reactive power setting value;

[0051] Obtaining an instruction value signal based on the first control signal and the second control signal;

[0052] A duty cycle signal is obtained based on the command value signal, and the power output of the distributed photovoltaic is controlled according to the duty cycle signal.

[0053] The energy storage device energy storage output control module obtains the operating parameters of the distributed photovoltaic to determine the energy storage output of the energy storage device, including:

[0054] Obtaining capacitor voltage on the distributed photovoltaic power generation side;

[0055] When the capacitor voltage is lower than the initial value, the energy storage output of the energy storage device is determined based on the frequency deviation and frequency change rate of the distributed photovoltaic grid-connected point; when the capacitor voltage is equal to the initial value, the energy storage output of the energy storage device is determined based on the capacitor voltage.

[0056] The energy storage output of the energy storage device is determined based on the frequency deviation and frequency change rate of the distributed photovoltaic grid-connected point, including:

[0057] Get the frequency f of the distributed photovoltaic grid-connected point act , calculate the frequency f act With reference frequency f ref The frequency deviation e(t) between them;

[0058] The frequency deviation e(t) is differentiated to obtain the frequency change rate RoCoF;

[0059] According to the frequency f of the distributed photovoltaic grid-connected point act , frequency change rate RoCoF, frequency deviation e(t) are used to perform the following PID control to determine the energy storage output u(t) of the energy storage device.

[0060] u(t)=K p e(t)+K i ∫e(t)dt+K d RoCoF

[0061] Among them, K p is the proportionality coefficient, K i is the integration coefficient, K d is the differential coefficient.

[0062] Wherein, determining the energy storage output of the energy storage device based on the capacitor voltage includes:

[0063] Obtaining a voltage deviation between a capacitor voltage on a distributed photovoltaic power generation side and a voltage reference value;

[0064] The voltage deviation is used as an input variable, the frequency response performance is used as a reference factor, and fuzzy control is adopted to obtain the energy storage output of the energy storage device.

[0065] Among them, the controllable load switching control module controls the switching of each controllable load of the rural microgrid, including:

[0066] Obtaining the actual value of each controllable load of the rural microgrid, and calculating the importance index of each controllable load according to the actual value of each controllable load;

[0067] The switching of each controllable load is determined according to the importance index of each controllable load.

[0068] Among them, the actual value of each controllable load of the rural microgrid is obtained, and the importance index of each controllable load is calculated according to the actual value of each controllable load, including:

[0069] Obtaining an actual value of a controllable load of a rural microgrid; wherein the actual value of the controllable load includes an actual value of a load sensitivity, an actual value of a load scale, and an actual value of a load damage degree;

[0070] Based on the actual value of the controllable load, the expert scoring method is used to score each load index of the controllable load to obtain the score of each load index of the controllable load; wherein each load index includes load sensitivity, load scale, and load damage degree;

[0071] Standardizing the scores of the load indicators of the controllable load to obtain entropy values ​​of the load indicators of the controllable load, and determining the difference coefficients of the load indicators of the controllable load according to the entropy values ​​of the load indicators;

[0072] Based on the difference coefficient of each load index of the controllable load, obtaining the weight of each load index of the controllable load;

[0073] Based on the weight and score of each load index of the controllable load, the importance index of the controllable load is calculated.

[0074] Wherein, according to the importance index of each controllable load, determining the switching of each controllable load includes:

[0075] Taking the source-load complementarity index as the main basis and the importance index as the secondary basis, the comprehensive index of each controllable load is obtained;

[0076] The controllable loads are ranked based on their comprehensive indicators. When the threshold indicator is a positive value, the controllable loads are put into operation in sequence according to the rule that the ones with high comprehensive indicators are put into operation first and the ones with low comprehensive indicators are put into operation later. When the threshold indicator is a negative value, the controllable loads are removed in sequence according to the rule that the ones with low comprehensive indicators are removed first and the ones with high comprehensive indicators are removed later. Among them, the threshold indicator is the internal net power of the rural microgrid.

[0077] A computer device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor; when the processor executes the computer program, the steps of the rural microgrid source-storage-load coordinated inertia control method as described above are implemented.

[0078] A computer-readable storage medium stores a computer program; when the computer program is executed by a processor, the steps of the rural microgrid source-storage-load coordinated inertia control method as described above are implemented.

[0079] After adopting the above scheme, the present invention aims at the problem that rural microgrids lack effective distributed photovoltaic active power setting value optimization methods in complex scenarios, resulting in unsatisfactory system response: by establishing a simulation model, simulating different voltage and frequency fluctuation scenarios, and using probability density function processing to obtain distributed photovoltaic active power setting values ​​under different circumstances. Then, the optimal setting value is obtained through multi-scenario testing, which greatly improves the distributed photovoltaic response capability of microgrids in complex environments.

[0080] On the other hand, the present invention aims at the coordinated control of distributed photovoltaic, energy storage and controllable loads in rural microgrids, specifically the problems of insufficient inertia of distributed photovoltaic and lack of comprehensive consideration of load importance and source-load complementarity: on the basis of distributed photovoltaic realizing rapid support of underlying inertia of rural microgrid through virtual inertia adaptive control, a solution of photovoltaic-storage coordinated inertia support is proposed - by real-time monitoring of voltage and current signals of photovoltaic grid-connected points, combined with PID control algorithm to adjust the output of energy storage system to quickly respond to frequency deviation, to make up for the insufficient inertia of distributed photovoltaic; and introduces a load importance evaluation mechanism combining entropy weight method and expert scoring method, through weight analysis of load sensitivity, scale and damage degree, calculates the comprehensive index Z of load, and optimizes load switching based on this index, that is, adjusts the switching strategy in real time according to the actual operating status, to ensure the flexibility and reliability of microgrid system when load changes during distributed photovoltaic rapid support. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] Figure 1 It is a structural schematic diagram of a rural microgrid source-storage-load coordinated inertia control system provided by the present invention;

[0082] Figure 2 It is a schematic diagram of the structure of a distributed photovoltaic controller provided by the present invention;

[0083] Figure 3 It is a flow chart of microgrid information processing provided by the present invention. DETAILED DESCRIPTION

[0084] The technical solutions and beneficial effects of the present invention will be described in detail below with reference to the accompanying drawings.

[0085] The present invention provides a rural microgrid source-storage-load coordinated inertia control method, wherein the microgrid is connected with distributed photovoltaic, energy storage devices and controllable loads; comprising:

[0086] Obtaining a voltage signal and a current signal of a distributed photovoltaic grid-connected point, generating a command value signal according to the voltage signal and the current signal of the distributed photovoltaic grid-connected point in combination with a power setting value, and controlling the power output of the distributed photovoltaic with the command value signal;

[0087] Obtain the operating parameters of distributed photovoltaics to determine the energy storage output of the energy storage device;

[0088] The current internal net power of the rural microgrid is obtained, and the switching of each controllable load of the rural microgrid is controlled to make the internal net power approach 0; wherein the internal net power of the rural microgrid is obtained according to the sum of the output power of the distributed photovoltaic power generation and the energy storage output of the energy storage device minus the power demand of the primary load in the rural microgrid.

[0089] The method for obtaining the power setting value includes:

[0090] Build a simulation model of a rural microgrid;

[0091] Based on the actual operating status of the rural microgrid, the simulation model is operated under different photovoltaic powers, and the photovoltaic power when the operation of the simulation model meets expectations is used as the power setting value.

[0092] The voltage signal and current signal of the distributed photovoltaic grid-connected point are obtained, and a command value signal is generated in combination with a power setting value, and the power output of the distributed photovoltaic is controlled by the command value signal, including:

[0093] Obtain voltage and current signals of distributed photovoltaic grid-connected points;

[0094] A first control signal is obtained by performing reactive-frequency control on the active power setting value, and a second control signal is obtained by performing reactive-voltage control on the reactive power setting value; wherein the power setting value includes an active power setting value and a reactive power setting value;

[0095] Obtaining an instruction value signal based on the first control signal and the second control signal;

[0096] A duty cycle signal is obtained based on the command value signal, and the power output of the distributed photovoltaic is controlled according to the duty cycle signal.

[0097] The distributed photovoltaic working parameters are obtained to determine the energy storage output of the energy storage device, including:

[0098] Obtaining capacitor voltage on the distributed photovoltaic power generation side;

[0099] When the capacitor voltage is lower than the initial value, the energy storage output of the energy storage device is determined based on the frequency deviation and frequency change rate of the distributed photovoltaic grid-connected point; when the capacitor voltage is equal to the initial value, the energy storage output of the energy storage device is determined based on the capacitor voltage.

[0100] The energy storage output of the energy storage device is determined based on the frequency deviation and frequency change rate of the distributed photovoltaic grid-connected point, including:

[0101] Get the frequency f of the distributed photovoltaic grid-connected point act , calculate the frequency f act With reference frequency f ref The frequency deviation e(t) between them;

[0102] The frequency deviation e(t) is differentiated to obtain the frequency change rate RoCoF;

[0103] According to the frequency f of the distributed photovoltaic grid-connected point act , frequency change rate RoCoF, frequency deviation e(t) are used to perform the following PID control to determine the energy storage output u(t) of the energy storage device.

[0104] u(t)=K p e(t)+K i ∫e(t)dt+K d RoCoF

[0105] Among them, K p is the proportionality coefficient, K i is the integration coefficient, K d is the differential coefficient.

[0106] Wherein, determining the energy storage output of the energy storage device based on the capacitor voltage includes:

[0107] Obtaining a voltage deviation between a capacitor voltage on a distributed photovoltaic power generation side and a voltage reference value;

[0108] The voltage deviation is used as an input variable, the frequency response performance is used as a reference factor, and fuzzy control is adopted to obtain the energy storage output of the energy storage device.

[0109] Among them, the control of the switching of various controllable loads of the rural microgrid includes:

[0110] Obtaining the actual value of each controllable load of the rural microgrid, and calculating the importance index of each controllable load according to the actual value of each controllable load;

[0111] The switching of each controllable load is determined according to the importance index of each controllable load.

[0112] Among them, the actual value of each controllable load of the rural microgrid is obtained, and the importance index of each controllable load is calculated according to the actual value of each controllable load, including:

[0113] Obtaining an actual value of a controllable load of a rural microgrid; wherein the actual value of the controllable load includes an actual value of a load sensitivity, an actual value of a load scale, and an actual value of a load damage degree;

[0114] Based on the actual value of the controllable load, the expert scoring method is used to score each load index of the controllable load to obtain the score of each load index of the controllable load; wherein each load index includes load sensitivity, load scale, and load damage degree;

[0115] Standardizing the scores of the load indicators of the controllable load to obtain entropy values ​​of the load indicators of the controllable load, and determining the difference coefficients of the load indicators of the controllable load according to the entropy values ​​of the load indicators;

[0116] Based on the difference coefficient of each load index of the controllable load, obtaining the weight of each load index of the controllable load;

[0117] Based on the weight and score of each load index of the controllable load, the importance index of the controllable load is calculated.

[0118] Wherein, according to the importance index of each controllable load, determining the switching of each controllable load includes:

[0119] Taking the source-load complementarity index as the main basis and the importance index as the secondary basis, the comprehensive index of each controllable load is obtained;

[0120] The controllable loads are ranked based on their comprehensive indicators. When the threshold indicator is a positive value, the controllable loads are put into operation in sequence according to the rule that the ones with high comprehensive indicators are put into operation first and the ones with low comprehensive indicators are put into operation later. When the threshold indicator is a negative value, the controllable loads are removed in sequence according to the rule that the ones with low comprehensive indicators are removed first and the ones with high comprehensive indicators are removed later. Among them, the threshold indicator is the internal net power of the rural microgrid.

[0121] The present invention also provides a source-storage-load coordinated inertia control system based on a rural microgrid, wherein the microgrid is connected with distributed photovoltaic, energy storage devices and controllable loads; comprising:

[0122] A distributed photovoltaic power output control module is configured to obtain a voltage signal and a current signal of a distributed photovoltaic grid-connected point, generate a command value signal according to the voltage signal and the current signal of the distributed photovoltaic grid-connected point and a power setting value, and control the power output of the distributed photovoltaic with the command value signal;

[0123] An energy storage device energy storage output control module is configured to obtain operating parameters of distributed photovoltaics to determine the energy storage output of the energy storage device; and

[0124] The controllable load switching control module is configured to obtain the current internal net power of the rural microgrid and control the switching of each controllable load of the rural microgrid so that the internal net power tends to 0; wherein the internal net power of the rural microgrid is obtained according to the sum of the output power of the distributed photovoltaic and the energy storage output of the energy storage device minus the primary load demand power in the rural microgrid.

[0125] The distributed photovoltaic power output control module generates a command value signal in combination with a power setting value, wherein a method for obtaining the power setting value includes:

[0126] Build a simulation model of a rural microgrid;

[0127] Based on the actual operating status of the rural microgrid, the simulation model is operated under different photovoltaic powers, and the photovoltaic power when the operation of the simulation model meets expectations is used as the power setting value.

[0128] The distributed photovoltaic power output control module obtains the voltage signal and current signal of the distributed photovoltaic grid-connected point, generates a command value signal in combination with the power setting value, and controls the power output of the distributed photovoltaic with the command value signal, including:

[0129] Obtain voltage and current signals of distributed photovoltaic grid-connected points;

[0130] A first control signal is obtained by performing reactive-frequency control on the active power setting value, and a second control signal is obtained by performing reactive-voltage control on the reactive power setting value; wherein the power setting value includes an active power setting value and a reactive power setting value;

[0131] Obtaining an instruction value signal based on the first control signal and the second control signal;

[0132] A duty cycle signal is obtained based on the command value signal, and the power output of the distributed photovoltaic is controlled according to the duty cycle signal.

[0133] The energy storage device energy storage output control module obtains the operating parameters of the distributed photovoltaic to determine the energy storage output of the energy storage device, including:

[0134] Obtaining capacitor voltage on the distributed photovoltaic power generation side;

[0135] When the capacitor voltage is lower than the initial value, the energy storage output of the energy storage device is determined based on the frequency deviation and frequency change rate of the distributed photovoltaic grid-connected point; when the capacitor voltage is equal to the initial value, the energy storage output of the energy storage device is determined based on the capacitor voltage.

[0136] The energy storage output of the energy storage device is determined based on the frequency deviation and frequency change rate of the distributed photovoltaic grid-connected point, including:

[0137] Get the frequency f of the distributed photovoltaic grid-connected point act , calculate the frequency f act With reference frequency f ref The frequency deviation e(t) between them;

[0138] The frequency deviation e(t) is differentiated to obtain the frequency change rate RoCoF;

[0139] According to the frequency f of the distributed photovoltaic grid-connected point act , frequency change rate RoCoF, frequency deviation e(t) are used to perform the following PID control to determine the energy storage output u(t) of the energy storage device.

[0140] u(t)=K p e(t)+K i ∫e(t)dt+K d RoCoF

[0141] Among them, K p is the proportionality coefficient, K i is the integration coefficient, K d is the differential coefficient.

[0142] Wherein, determining the energy storage output of the energy storage device based on the capacitor voltage includes:

[0143] Obtaining a voltage deviation between a capacitor voltage on a distributed photovoltaic power generation side and a voltage reference value;

[0144] The voltage deviation is used as an input variable, the frequency response performance is used as a reference factor, and fuzzy control is adopted to obtain the energy storage output of the energy storage device.

[0145] Among them, the controllable load switching control module controls the switching of each controllable load of the rural microgrid, including:

[0146] Obtaining the actual value of each controllable load of the rural microgrid, and calculating the importance index of each controllable load according to the actual value of each controllable load;

[0147] The switching of each controllable load is determined according to the importance index of each controllable load.

[0148] Among them, the actual value of each controllable load of the rural microgrid is obtained, and the importance index of each controllable load is calculated according to the actual value of each controllable load, including:

[0149] Obtaining an actual value of a controllable load of a rural microgrid; wherein the actual value of the controllable load includes an actual value of a load sensitivity, an actual value of a load scale, and an actual value of a load damage degree;

[0150] Based on the actual value of the controllable load, the expert scoring method is used to score each load index of the controllable load to obtain the score of each load index of the controllable load; wherein each load index includes load sensitivity, load scale, and load damage degree;

[0151] Standardizing the scores of the load indicators of the controllable load to obtain entropy values ​​of the load indicators of the controllable load, and determining the difference coefficients of the load indicators of the controllable load according to the entropy values ​​of the load indicators;

[0152] Based on the difference coefficient of each load index of the controllable load, obtaining the weight of each load index of the controllable load;

[0153] Based on the weight and score of each load index of the controllable load, the importance index of the controllable load is calculated.

[0154] Wherein, according to the importance index of each controllable load, determining the switching of each controllable load includes:

[0155] Taking the source-load complementarity index as the main basis and the importance index as the secondary basis, the comprehensive index of each controllable load is obtained;

[0156] The controllable loads are ranked based on their comprehensive indicators. When the threshold indicator is a positive value, the controllable loads are put into operation in sequence according to the rule that the ones with high comprehensive indicators are put into operation first and the ones with low comprehensive indicators are put into operation later. When the threshold indicator is a negative value, the controllable loads are removed in sequence according to the rule that the ones with low comprehensive indicators are removed first and the ones with high comprehensive indicators are removed later. Among them, the threshold indicator is the internal net power of the rural microgrid.

[0157] Specifically, in a specific application, the present invention can set up the following two layered architectures: an inertia rapid support layer and a secondary coordination control layer, wherein the inertia rapid support layer includes a distributed photovoltaic controller, an energy storage controller and a controllable load controller, and the secondary coordination control layer includes a microgrid information collector and a microgrid information processor; the distributed photovoltaic controller cooperates with the microgrid information collector and the microgrid information processor to realize the function of the distributed photovoltaic power output control module, the energy storage controller cooperates with the microgrid information collector and the microgrid information processor to realize the function of the energy storage processing control module, and the controllable load controller cooperates with the microgrid information collector and the microgrid information processor to realize the function of the controllable load importance index acquisition module and the controllable load switching control module.

[0158] Specifically, the inertia fast support layer includes a distributed photovoltaic controller, an energy storage controller, and a controllable load controller. When a disturbance occurs in a rural microgrid, the distributed photovoltaic controller performs inertia support based on the damping coefficient and rotational inertia; due to the problem of insufficient inertia support in photovoltaic power generation, the energy storage controller determines the energy storage output based on the frequency deviation and frequency change rate of the photovoltaic power generation grid connection point, so that the energy storage cooperates with the photovoltaic unit for inertia support; in the process of photovoltaic-storage coordinated inertia support, the power difference between the source and the load will also change accordingly, and the controllable load controller will determine the switching strategy of the controllable load of the village microgrid accordingly.

[0159] Specifically, the split-type photovoltaic controller includes a power measurement module, a power loop, a virtual inertia adaptive control module, a voltage / current closed-loop control module and a PWM generation module; Figure 2 As shown, in the bottom-level inertia control process, the power measurement module measures the PCC voltage and current signals of the photovoltaic power generation grid-connected point. After the PCC voltage and current signals of the photovoltaic power generation grid-connected point are transformed from three-phase stationary coordinates to two-phase stationary coordinates through coordinate transformation, the PCC voltage and current signals of the photovoltaic grid-connected point in the two-phase stationary coordinate system are transmitted to the power ring (reactive power-frequency control and reactive power-voltage control); the power ring receives the external active power setting value and reactive power setting value, wherein the active power setting value is sent to the virtual inertia adaptive control module after reactive power-frequency control to obtain the photovoltaic power generation output voltage phase given value, and the reactive frequency setting value (generally 0) is directly sent to the reactive-voltage control to obtain the photovoltaic power generation output voltage amplitude given value, and the photovoltaic power generation output voltage amplitude given value and phase given value together constitute the command value signal; the command value signal is sent to the PWM generation module after the voltage / current closed-loop control module to obtain the duty cycle signal, so as to control the operation of the grid-connected inverter during disturbance, adjust the photovoltaic active power output, and realize the bottom-level rapid support of the virtual inertia of the microgrid.

[0160] Specifically, the virtual inertia adaptive control module adopts adaptive control based on damping coefficient and moment of inertia. Under the premise of ensuring the stability of the photovoltaic power generation system, in order to make the virtual inertia control follow the change of active power command faster, the adaptive control method based on damping coefficient and moment of inertia can be expressed as:

[0161]

[0162] Where: J is the actual moment of inertia of VSG; D is the actual damping coefficient of VSG; J0 is the moment of inertia of the photovoltaic grid-connected system at rated capacity; D0 is the damping coefficient of the system at rated capacity; k a , k b k is the adjustment coefficient of the moment of inertia J; m , k n is the damping adjustment coefficient; △w is the VSG angular frequency change, dw / dt is the VSG angular frequency change rate; M and N are the VSG angular frequency change rate and angular frequency change threshold, respectively;

[0163] Specifically, the energy storage controller takes into account the ability of multi-time scale frequency response, the different frequency response stages and the principle of inertia coordinated control of high-proportion renewable energy grids to position the role of energy storage, and implements an inertia coordinated control strategy in the frequency response stage, namely: in the first stage - the inertia response stage, the inertia source of the photovoltaic unit is limited, and the energy storage controller determines the energy storage output based on the frequency deviation and frequency change rate of the photovoltaic power generation grid connection point, so that the energy storage cooperates with the photovoltaic unit to provide inertia support and suppress the rapid drop in frequency; in the second stage - the frequency recovery stage, the voltage across the capacitor equipped on the photovoltaic power generation side needs to be restored to the initial value to maintain the stable operation of the photovoltaic power generation device. In the process of voltage recovery, the absorption of energy is also likely to cause rapid frequency fluctuations, affecting the frequency stability of the photovoltaic power generation system. In the frequency recovery stage, the energy storage controller determines the energy storage output based on the real-time voltage of the photovoltaic capacitor when the frequency is restored, so as to avoid the secondary drop of frequency caused by the output fluctuation of the photovoltaic unit.

[0164] Specifically, the frequency deviation and frequency change rate of the photovoltaic grid-connected point are collected by the synchronous phasor measurement unit to obtain the frequency f of each photovoltaic grid-connected point. act , the frequency deviation e(t) and frequency change rate RoCoF of the photovoltaic grid-connected point are:

[0165] e(t)=f ref -f act

[0166]

[0167] Where: f ref is the reference frequency of the photovoltaic grid-connected point; f act is the current system frequency of the PV grid-connected point;

[0168] The energy storage output is determined based on the frequency deviation and frequency change rate of the photovoltaic grid-connected point. The PID control algorithm is used to compare the error between the actual frequency output of the system and the expected frequency output and adjust the energy storage output according to the three control parameters of proportion, integration and differentiation.

[0169] The PID control algorithm output formula is:

[0170] u(t)=K p e(t)+K i ∫e(t)dt+K d RoCoF

[0171] Where: u(t) is the energy storage output. When u(t) is a positive value, it means increasing the energy storage output; if it is a negative value, it means decreasing or turning to charging state; K p K is the proportional coefficient, which adjusts the proportional relationship between energy storage output and frequency deviation; i K is the integral coefficient, which integrates the frequency deviation to eliminate the system static error; d is the differential coefficient, providing forward-looking control over the rate of change of the frequency deviation;

[0172] Specifically, the inertia cooperative control strategy in the frequency recovery stage adopts fuzzy control. The design principle of the fuzzy control is to use the deviation between the working voltage at both ends of the capacitor and its reference value as the input variable, and the active output reference value of the energy storage system as the output variable; and to optimize the frequency response performance of the inertia cooperative control strategy as the main reference factor. When the capacitor voltage deviation signal of the photovoltaic unit increases significantly, the active power of the energy storage unit is increased accordingly to promote the photovoltaic unit to return to normal operation; conversely, when the capacitor voltage deviation is small, the output of the energy storage unit is reduced to obtain a smoother frequency curve. This dynamic adjustment strategy aims to take into account the stability and responsiveness of the system, coordinate the state parameters of different units, and achieve accurate control of the active output of energy storage.

[0173] Specifically, obtain relevant information such as the internal load sensitivity, load scale, load damage degree, and the degree of complementarity between the evaluation source and load in the rural microgrid;

[0174] The load sensitivity, load scale and load damage degree within the rural microgrid are determined based on expert scoring and entropy weight method to determine the weight of the load sub-index and calculate the load importance index;

[0175] The expert scoring method uses load sensitivity, load scale and load damage as indicators, and uses a scoring standard of 1 to 10 points (1-3 is not important, 4-6 is generally important, 7-9 is very important, and 10 is the most important) to score each load sub-item indicator; the entropy weight method standardizes the score of each indicator, calculates the entropy value and difference coefficient of each indicator, and obtains the weight of each indicator and the importance index of the load according to the difference coefficient:

[0176]

[0177] e j =-∑P ij ln(P ij )

[0178] d j =1-e j

[0179]

[0180] M=w1×index 1 score+w2×index 2 score+w3×index 3 score

[0181] Where P ij For the i-th expert, the j-th indicator score is standardized; a ij is the i-th expert, the j-th indicator score; e j is the entropy value of the jth indicator; d j is the coefficient of difference of the jth indicator; w j is the weight of the jth index; M is the load importance index;

[0182] The complementarity degree between the source and the load is defined as the complementarity index r which quantitatively describes the power complementarity degree between the source and the load:

[0183]

[0184] Where r is the degree of complementarity between source and charge; P y is the source power; P e is the load power; T is the sampling period; i is the i-th sampling time;

[0185] Taking the source-load complementarity index as the main basis and combining the importance index of controllable loads such as load sensitivity, load scale, and load damage degree within the village microgrid as the secondary basis, the comprehensive index Z is obtained:

[0186] Z=λ1M+λ2r

[0187] In the formula, Z is a comprehensive index of load switching; λ1 is the weight of controllable load indicators such as load sensitivity, load scale, and load damage degree within the village microgrid; λ2 is the weight of the source-load complementarity index; λ1 and λ2 can be determined by the entropy weight method. The specific process is the same as using the entropy weight method to determine the weight of the load sub-item index, λ1+λ2=1;

[0188] Based on the above-mentioned comprehensive load indicators Z, the loads are sorted in order from large to small, and the loads that are preferentially switched in the current state can be determined; specifically, a threshold indicator P is defined k :

[0189] P k =P V +P G -P L1

[0190] Where P k is the net power in the rural microgrid, which is used as the threshold indicator; P V , P G and P L1 They are the photovoltaic and energy storage output power and the primary load demand power inside the rural microgrid respectively;

[0191] When the threshold index P k >0, the controllable load is put into operation according to the rule that the high comprehensive index value is put into operation first and the low comprehensive index value is put into operation later; when the threshold index P k When it is less than 0, the controllable load is removed according to the rule that the lower the comprehensive index value is, the lower the controllable load is.

[0192] In the process of gradually determining the supplied load, the power difference between the source and the supplied load will change accordingly, and the comprehensive index values ​​of each load will be recalculated. Through continuous updating and iteration, the optimal load switching plan during the photovoltaic storage inertia support period will be finally determined.

[0193] Specifically, the secondary coordination control layer includes a microgrid information collector and a microgrid information processor; the microgrid information collector collects five sub-indicators such as the load sensitivity, load scale, and load damage degree of the entire rural microgrid, evaluates the complementarity between the source and the load, the microgrid operation status, i.e., the rural microgrid off-grid / grid-connected operation, three-phase short-circuit fault, etc., and the voltage and frequency fluctuation range within the rural microgrid; the controllable load controller receives the controllable related information such as the load sensitivity, load scale, load damage degree, and the complementarity between the evaluation source and the load within the rural microgrid, comprehensively measures the five indicators such as load sensitivity, load scale, load damage degree, and combines the complementarity between the evaluation source and the load to formulate a corresponding switching strategy; the microgrid information processor receives the microgrid operation information collected by the microgrid information collector, and obtains the reference power of the adaptive module in each distributed photovoltaic controller; the reference power of the adaptive module in each distributed photovoltaic controller is used as the communication point to coordinate the virtual inertia support of the entire rural microgrid.

[0194] Specifically, how does the microgrid information processor effectively process and identify the information collected by the microgrid as the reference power of the adaptive module in the distributed photovoltaic controller? By testing different voltage and frequency fluctuations and rural microgrid grid-connected / off-grid conditions in a simulated environment, the adjustment effects of different active power setting values ​​can be obtained. Specifically: build a grid simulation model including the grid's load, power generation source, energy storage system and its control strategy, and use the model to input different voltage and frequency fluctuation scenarios to simulate various operating conditions of the actual grid; and by running these simulation scenarios, observe the model's response effect on the adjustment of the active power reference value under different fluctuations; and then conduct multiple tests to obtain a single scenario - rural microgrid grid-connected / off-grid, three-phase short circuit fault and overload switching, as well as a mixed scenario - rural Microgrid on / off-grid and three-phase short-circuit fault, rural microgrid on / off-grid and overload switching, three-phase short-circuit fault and overload switching, multiple groups of active power setting values ​​of each distributed photovoltaic controller; Based on the above multiple groups of active power setting values ​​of each distributed photovoltaic controller, the active power setting value of the photovoltaic controller under different scenarios is obtained by probability density function processing; the microgrid information processor identifies the scene information collected by the microgrid, and assigns the corresponding active power setting value to each distributed photovoltaic controller; thereby the distributed photovoltaic controller receives the corresponding active power setting value, and the virtual inertia adaptive control module in the distributed photovoltaic controller adjusts the moment of inertia and damping coefficient according to the active power setting value to control the operation of the grid-connected inverter, thereby realizing accurate inertia autonomous support under various disturbance scenarios within the rural microgrid.

[0195] An embodiment of the present invention further provides another computer device, including a processor and a memory configured to store a computer program that can be run on the processor; wherein, when the processor is configured to run the computer program, the method steps in the aforementioned embodiment are executed.

[0196] In practical applications, the processor includes a field programmable gate array (FPGA), and the processor may be a central processing unit (CPU) or a digital signal processor (DSP). It is understandable that for different devices, the electronic device used to implement the function of the processor may be other, and the embodiment of the present invention does not specifically limit it.

[0197] The above-mentioned memory can be a volatile memory (volatile memory), such as a random access memory (RAM); or a non-volatile memory (non-volatile memory), such as a read-only memory (ROM), a flash memory, a hard disk (HDD) or a solid-state drive (SSD); or a combination of the above-mentioned types of memory, and provide instructions and data to the processor.

[0198] In an exemplary embodiment, an embodiment of the present invention further provides a computer-readable storage medium for storing a computer program.

[0199] Optionally, the computer-readable storage medium can be applied to any one of the methods in the embodiments of the present invention, and the computer program enables the computer to execute the corresponding processes implemented by the processor in each method in the embodiments of the present invention. For the sake of brevity, they are not described here.

[0200] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0201] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0202] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0203] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0204] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0205] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for controlling the coordinated inertia of a rural microgrid source-storage-load, wherein the microgrid is connected with distributed photovoltaic, energy storage devices and controllable loads; characterized in that: include, Obtaining a voltage signal and a current signal of a distributed photovoltaic grid-connected point, generating a command value signal according to the voltage signal and the current signal of the distributed photovoltaic grid-connected point in combination with a power setting value, and controlling the power output of the distributed photovoltaic with the command value signal; Obtain the operating parameters of distributed photovoltaics to determine the energy storage output of the energy storage device; The current internal net power of the rural microgrid is obtained, and the switching of each controllable load of the rural microgrid is controlled to make the internal net power approach 0; wherein the internal net power of the rural microgrid is obtained according to the sum of the output power of the distributed photovoltaic power generation and the energy storage output of the energy storage device minus the power demand of the primary load in the rural microgrid.

2. The method according to claim 1, characterized in that The method for obtaining the power setting value includes: Build a simulation model of a rural microgrid; Based on the actual operating status of the rural microgrid, the simulation model is operated under different photovoltaic powers, and the photovoltaic power when the operation of the simulation model meets expectations is used as the power setting value.

3. The method according to claim 1, characterized in that Obtaining voltage signals and current signals of distributed photovoltaic grid-connected points, generating command value signals in combination with power setting values, and controlling the power output of distributed photovoltaics with the command value signals, including: Obtain voltage and current signals of distributed photovoltaic grid-connected points; A first control signal is obtained by performing reactive-frequency control on the active power setting value, and a second control signal is obtained by performing reactive-voltage control on the reactive power setting value; wherein the power setting value includes an active power setting value and a reactive power setting value; Obtaining an instruction value signal based on the first control signal and the second control signal; A duty cycle signal is obtained based on the command value signal, and the power output of the distributed photovoltaic is controlled according to the duty cycle signal.

4. The method according to claim 1, characterized in that Obtain the operating parameters of distributed photovoltaics to determine the energy storage output of the energy storage device, including: Obtaining capacitor voltage on the distributed photovoltaic power generation side; When the capacitor voltage is lower than the initial value, the energy storage output of the energy storage device is determined based on the frequency deviation and frequency change rate of the distributed photovoltaic grid-connected point; when the capacitor voltage is equal to the initial value, the energy storage output of the energy storage device is determined based on the capacitor voltage.

5. The method according to claim 4, characterized in that The energy storage output of the energy storage device is determined based on the frequency deviation and frequency change rate of the distributed photovoltaic grid-connected point, including: Get the frequency f of the distributed photovoltaic grid-connected point act , calculate the frequency f act With reference frequency f ref The frequency deviation e(t) between them; The frequency deviation e(t) is differentiated to obtain the frequency change rate RoCoF; According to the frequency f of the distributed photovoltaic grid-connected point act , frequency change rate RoCoF, frequency deviation e(t) are used to perform the following PID control to determine the energy storage output u(t) of the energy storage device. u(t)=K p e(t)+K i ∫e(t)dt+K d RoCoF Among them, K p is the proportionality coefficient, K i is the integration coefficient, K d is the differential coefficient.

6. The method according to claim 4, characterized in that Determining the energy storage output of the energy storage device based on the capacitor voltage includes: Obtaining a voltage deviation between a capacitor voltage on a distributed photovoltaic power generation side and a voltage reference value; The voltage deviation is used as an input variable, the frequency response performance is used as a reference factor, and fuzzy control is adopted to obtain the energy storage output of the energy storage device.

7. The method according to claim 1, characterized in that Control the switching of various controllable loads in rural microgrids, including: Obtaining the actual value of each controllable load of the rural microgrid, and calculating the importance index of each controllable load according to the actual value of each controllable load; The switching of each controllable load is determined according to the importance index of each controllable load.

8. The method according to claim 7, characterized in that Obtain the actual value of each controllable load of the rural microgrid, and calculate the importance index of each controllable load according to the actual value of each controllable load, including: Obtaining an actual value of a controllable load of a rural microgrid; wherein the actual value of the controllable load includes an actual value of a load sensitivity, an actual value of a load scale, and an actual value of a load damage degree; Based on the actual value of the controllable load, the expert scoring method is used to score each load index of the controllable load to obtain the score of each load index of the controllable load; wherein each load index includes load sensitivity, load scale, and load damage degree; Standardizing the scores of the load indicators of the controllable load to obtain entropy values ​​of the load indicators of the controllable load, and determining the difference coefficients of the load indicators of the controllable load according to the entropy values ​​of the load indicators; Based on the difference coefficient of each load index of the controllable load, obtaining the weight of each load index of the controllable load; Based on the weight and score of each load index of the controllable load, the importance index of the controllable load is calculated.

9. The method according to claim 7, characterized in that Determining the switching of each controllable load according to the importance index of each controllable load includes: Taking the source-load complementarity index as the main basis and the importance index as the secondary basis, the comprehensive index of each controllable load is obtained; The controllable loads are ranked based on their comprehensive indicators. When the threshold indicator is a positive value, the controllable loads are put into operation in sequence according to the rule that the ones with high comprehensive indicators are put into operation first and the ones with low comprehensive indicators are put into operation later. When the threshold indicator is a negative value, the controllable loads are removed in sequence according to the rule that the ones with low comprehensive indicators are removed first and the ones with high comprehensive indicators are removed later. Among them, the threshold indicator is the internal net power of the rural microgrid.

10. A rural microgrid source-storage-load coordinated inertia control system, wherein the microgrid is connected with distributed photovoltaic, energy storage devices and controllable loads; characterized in that: include, A distributed photovoltaic power output control module is configured to obtain a voltage signal and a current signal of a distributed photovoltaic grid-connected point, generate a command value signal according to the voltage signal and the current signal of the distributed photovoltaic grid-connected point and a power setting value, and control the power output of the distributed photovoltaic with the command value signal; An energy storage device energy storage output control module is configured to obtain operating parameters of distributed photovoltaics to determine the energy storage output of the energy storage device; and The controllable load switching control module is configured to obtain the current internal net power of the rural microgrid and control the switching of each controllable load of the rural microgrid so that the internal net power tends to 0; wherein the internal net power of the rural microgrid is obtained according to the sum of the output power of the distributed photovoltaic and the energy storage output of the energy storage device minus the primary load demand power in the rural microgrid.

11. The system according to claim 10, characterized in that The distributed photovoltaic power output control module generates a command value signal in combination with the power setting value, wherein the method for obtaining the power setting value includes: Build a simulation model of a rural microgrid; Based on the actual operating status of the rural microgrid, the simulation model is operated under different photovoltaic powers, and the photovoltaic power when the operation of the simulation model meets expectations is used as the power setting value.

12. The system according to claim 10, characterized in that The distributed photovoltaic power output control module obtains the voltage signal and current signal of the distributed photovoltaic grid-connected point, generates a command value signal in combination with the power setting value, and controls the power output of the distributed photovoltaic with the command value signal, including: Obtain voltage and current signals of distributed photovoltaic grid-connected points; A first control signal is obtained by performing reactive-frequency control on the active power setting value, and a second control signal is obtained by performing reactive-voltage control on the reactive power setting value; wherein the power setting value includes an active power setting value and a reactive power setting value; Obtaining an instruction value signal based on the first control signal and the second control signal; A duty cycle signal is obtained based on the command value signal, and the power output of the distributed photovoltaic is controlled according to the duty cycle signal.

13. The system of claim 10, wherein: The energy storage device energy storage output control module obtains the operating parameters of the distributed photovoltaic to determine the energy storage output of the energy storage device, including: Obtaining capacitor voltage on the distributed photovoltaic power generation side; When the capacitor voltage is lower than the initial value, the energy storage output of the energy storage device is determined based on the frequency deviation and frequency change rate of the distributed photovoltaic grid-connected point; when the capacitor voltage is equal to the initial value, the energy storage output of the energy storage device is determined based on the capacitor voltage.

14. The system of claim 13, wherein: The energy storage output of the energy storage device is determined based on the frequency deviation and frequency change rate of the distributed photovoltaic grid-connected point, including: Get the frequency f of the distributed photovoltaic grid-connected point act , calculate the frequency f act With reference frequency f ref The frequency deviation e(t) between them; The frequency deviation e(t) is differentiated to obtain the frequency change rate RoCoF; According to the frequency f of the distributed photovoltaic grid-connected point act , frequency change rate RoCoF, frequency deviation e(t) are used to perform the following PID control to determine the energy storage output u(t) of the energy storage device. u(t)=K p e(t)+K i ∫e(t)dt+K d RoCoF Among them, K p is the proportionality coefficient, K i is the integration coefficient, K d is the differential coefficient.

15. The system of claim 13, wherein: Determining the energy storage output of the energy storage device based on the capacitor voltage includes: Obtaining a voltage deviation between a capacitor voltage on a distributed photovoltaic power generation side and a voltage reference value; The voltage deviation is used as an input variable, the frequency response performance is used as a reference factor, and fuzzy control is adopted to obtain the energy storage output of the energy storage device.

16. The system of claim 10, wherein: The controllable load switching control module controls the switching of each controllable load of the rural microgrid, including: Obtaining the actual value of each controllable load of the rural microgrid, and calculating the importance index of each controllable load according to the actual value of each controllable load; The switching of each controllable load is determined according to the importance index of each controllable load.

17. The system of claim 16, wherein: Obtain the actual value of each controllable load of the rural microgrid, and calculate the importance index of each controllable load according to the actual value of each controllable load, including: Obtaining an actual value of a controllable load of a rural microgrid; wherein the actual value of the controllable load includes an actual value of a load sensitivity, an actual value of a load scale, and an actual value of a load damage degree; Based on the actual value of the controllable load, the expert scoring method is used to score each load index of the controllable load to obtain the score of each load index of the controllable load; wherein each load index includes load sensitivity, load scale, and load damage degree; Standardizing the scores of the load indicators of the controllable load to obtain entropy values ​​of the load indicators of the controllable load, and determining the difference coefficients of the load indicators of the controllable load according to the entropy values ​​of the load indicators; Based on the difference coefficient of each load index of the controllable load, obtaining the weight of each load index of the controllable load; Based on the weight and score of each load index of the controllable load, the importance index of the controllable load is calculated.

18. The system of claim 16, wherein: Determining the switching of each controllable load according to the importance index of each controllable load includes: Taking the source-load complementarity index as the main basis and the importance index as the secondary basis, the comprehensive index of each controllable load is obtained; The controllable loads are ranked based on their comprehensive indicators. When the threshold indicator is a positive value, the controllable loads are put into operation in sequence according to the rule that the ones with high comprehensive indicators are put into operation first and the ones with low comprehensive indicators are put into operation later. When the threshold indicator is a negative value, the controllable loads are removed in sequence according to the rule that the ones with low comprehensive indicators are removed first and the ones with high comprehensive indicators are removed later. Among them, the threshold indicator is the internal net power of the rural microgrid.

19. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor; characterized in that: When the processor executes the computer program, the steps of the rural microgrid source-storage-load coordinated inertia control method as described in any one of claims 1 to 9 are implemented.

20. A computer-readable storage medium storing a computer program; characterized in that: When the computer program is executed by a processor, the steps of the rural microgrid source-storage-load coordinated inertia control method as described in any one of claims 1 to 9 are implemented.

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