Power distribution network voltage supporting capability index prediction method based on distributed energy

Abstract

The invention provides a power distribution network voltage supporting capability index prediction method based on distributed energy, and belongs to the technical field of power distribution network voltage control, and the method comprises the steps: measuring the real-time state data of a power distribution network, and carrying out the normalization processing of the real-time state data; calculating predicted values of wind power total reactive power accessed to the power distribution network, photovoltaic total reactive power accessed to the power distribution network, energy storage charge state of a battery accessed to the power distribution network and total reactive power of reactive compensation equipment accessed to the power distribution network at the next moment; calculating a power distribution network voltage supporting capability index prediction value based on the distributed energy at the next moment; and determining the voltage supporting capability of the power distribution network at the next moment according to a calculation result. According to the real-time state data of the power distribution network, the power distribution network voltage supporting capacity index based on the distributed energy at the next moment is predicted and used for evaluating whether the voltage regulation of the power distribution network is accurate or not, and the voltage stability of the power distribution network is enhanced by adjusting the reactive power output by the distributed energy in time.

Description

Technical Field

[0001] The present invention belongs to the technical field of distribution network voltage control, and in particular relates to a distribution network voltage support capability index prediction method based on distributed energy. Background Art

[0002] Under the background of "dual carbon", my country's energy structure system will continue to develop in the direction of clean and low-carbon. The grid-connected capacity of distributed wind power and distributed photovoltaic in the distribution network continues to increase, making the distribution network structure more flexible. However, due to the influence of the time-varying output of distributed wind power and distributed photovoltaic and the uneven distribution of load, the voltage stability problem of the distribution network is also more complicated. Improving the voltage stability of the distribution network is a prerequisite for meeting the high-quality power supply service needs of users. In order to achieve voltage stability, the traditional distribution network needs to configure a large number of reactive compensation equipment in the distribution network for reactive voltage regulation. In the distribution network where distributed wind power, distributed photovoltaic and distributed battery energy storage are connected on a large scale, the distribution network voltage control means are more abundant. Through the complementary coordination of various types of distributed energy, the voltage stability of the distribution network can be improved, the configuration capacity of reactive compensation equipment can be reduced, and efficient and low-cost reactive voltage regulation of the distribution network can be achieved. However, under the coordination of various types of distributed energy, the voltage support capacity of the distribution network is difficult to accurately evaluate, resulting in excessive or low reactive reserves of distributed energy, which brings new challenges to the voltage control of the distribution network. Summary of the invention

[0003] In view of the technical problems existing in the prior art, the present invention provides a method for predicting the voltage support capability index of a distribution network based on distributed energy. According to the real-time status data of the distribution network, the voltage support capability index of the distribution network based on distributed energy at the next moment is predicted, which is used to evaluate whether the voltage regulation of the distribution network is accurate, so as to facilitate timely adjustment of the reactive power output of the distributed energy to enhance the voltage stability of the distribution network.

[0004] The technical solution adopted by the present invention is: a method for predicting the voltage support capability index of a distribution network based on distributed energy, comprising the following steps:

[0005] Measure the real-time status data of the distribution network, which includes the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, the energy state of battery energy storage connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network;

[0006] Performing normalization processing on the real-time status data;

[0007] According to the normalized real-time status data, the total reactive power forecast value of wind power connected to the distribution network at the next moment, the total reactive power forecast value of photovoltaic connected to the distribution network, the energy state forecast value of battery energy storage connected to the distribution network and the total reactive power forecast value of reactive compensation equipment connected to the distribution network are calculated;

[0008] According to the predicted value of the total reactive power of wind power connected to the distribution network, the predicted value of the total reactive power of photovoltaic power connected to the distribution network, the predicted value of the charge state of the battery energy storage connected to the distribution network and the predicted value of the total reactive power of the reactive compensation equipment connected to the distribution network, the predicted value of the voltage support capability index of the distribution network based on distributed energy at the next moment is calculated; and the voltage support capability of the distribution network at the next moment is determined according to the predicted value of the voltage support capability index of the distribution network based on distributed energy.

[0009] Furthermore, the real-time status data includes at t1, t2, ..., t i ,...,t n The total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, the energy state of battery energy storage connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network are measured at these n fixed time intervals.

[0010] Using the real-time status data, a time series is created:

[0011]

[0012] Where n is a natural number, and i belongs to n, t i The total reactive power of wind power connected to the distribution network is measured at all times. t i The total photovoltaic reactive power connected to the distribution network is measured at all times. t i The energy storage charge state of the battery connected to the distribution network is measured at all times. t i The total reactive power of the reactive compensation equipment connected to the distribution network measured at all times.

[0013] Furthermore, the real-time status data is normalized as follows:

[0014]

[0015] in, t i The normalized value of the total reactive power measurement of wind power connected to the distribution network at the moment, t i The normalized value of the total photovoltaic reactive power measurement value connected to the distribution network at the moment, t i The normalized value of the battery energy storage charge state measurement value connected to the distribution network at the moment, t i The normalized value of the total reactive power measurement value of the reactive compensation equipment connected to the distribution network at the moment, Q WP,max For the period t1, t2, ..., t i ,...,t n The maximum value of the total reactive power measurement value of wind power connected to the distribution network during these n fixed time intervals, Q WP,min For the period t1, t2, ..., t i ,...,t n The minimum value of the total reactive power measurement of wind power connected to the distribution network during these n fixed time intervals, Q PV,max For the period t1, t2, ..., t i ,...,t n The maximum value of the total PV reactive power measurement value connected to the distribution network during these n fixed time intervals, Q PV,min For the period t1, t2, ..., t i ,...,t n The minimum value of the total PV reactive power measurement value connected to the distribution network during these n fixed time intervals, S ES,max For the period t1, t2, ..., t i ,...,t n The maximum value of the battery energy storage charge state measurement value connected to the distribution network at these n fixed time intervals, S ES,min For the period t1, t2, ..., t i ,...,t n The minimum value of the battery energy storage charge state measurement value connected to the distribution network during these n fixed time intervals, Q SVC,max For the period t1, t2, ..., t i ,...,t n The maximum value of the total reactive power measurement value of the reactive compensation equipment connected to the distribution network at these n fixed time intervals, Q SVC,min For the period t1, t2, ..., t i ,...,t n The minimum value of the total reactive power measurement value of the reactive compensation equipment connected to the distribution network during these n fixed time intervals.

[0016] Furthermore, the predicted value of the total reactive power of wind power connected to the distribution network at the next moment is Prediction of total photovoltaic reactive power connected to the distribution network Prediction of the charge state of battery energy storage connected to the distribution network And the total reactive power prediction value of the reactive compensation equipment connected to the distribution network The calculation formula is:

[0017]

[0018] Furthermore, the predicted value of the voltage support capability index of the distribution network based on distributed energy at the next moment is The calculation formula is:

[0019]

[0020] If the voltage is less than or equal to the threshold value A, it is determined that the voltage support capacity of the distribution network at the next moment is weak, and the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network are increased;

[0021] If it is greater than threshold A and less than or equal to threshold B, it is determined that the voltage support capacity of the distribution network at the next moment is moderate, and the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network are maintained;

[0022] If it is greater than the threshold value B, it is determined that the voltage support capacity of the distribution network at the next moment is strong, and the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network are reduced.

[0023] Furthermore, threshold A is 0.446 and threshold B is 0.786.

[0024] The technical solution adopted by the present invention is also: a distribution network voltage support capability index prediction system based on distributed energy, comprising a data measurement unit, a data processing unit and a calculation unit connected in sequence,

[0025] The data measurement unit is used to measure the real-time status data of the distribution network, and the real-time status data includes the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, the energy state of battery energy storage connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network;

[0026] The data processing unit is used to perform normalization processing on the real-time status data;

[0027] The calculation unit is used to calculate the total reactive power forecast value of wind power connected to the distribution network at the next moment, the total reactive power forecast value of photovoltaic power connected to the distribution network, the charge state forecast value of battery energy storage connected to the distribution network, and the total reactive power forecast value of reactive compensation equipment connected to the distribution network according to the real-time status data after normalization processing; then calculate the predicted value of the voltage support capability index of the distribution network based on distributed energy at the next moment according to the total reactive power forecast value of wind power connected to the distribution network, the total reactive power forecast value of photovoltaic power connected to the distribution network, the charge state forecast value of battery energy storage connected to the distribution network, and the total reactive power forecast value of reactive compensation equipment connected to the distribution network; and determine the voltage support capability of the distribution network at the next moment according to the predicted value of the voltage support capability index of the distribution network based on distributed energy.

[0028] The data measurement unit also uses the real-time status data to establish a time series:

[0029]

[0030] Among them, t1, t2, ..., t i ,...,t n is the measurement time of n fixed time intervals, n is a natural number, and i belongs to n, t i The total reactive power of wind power connected to the distribution network is measured at all times. t i The total photovoltaic reactive power connected to the distribution network is measured at all times. t i The energy storage charge state of the battery connected to the distribution network is measured at all times. t i The total reactive power of the reactive compensation equipment connected to the distribution network measured at all times;

[0031] The data processing unit performs normalization processing on the real-time status data as follows:

[0032]

[0033] in, t i The normalized value of the total reactive power measurement of wind power connected to the distribution network at the moment, t i The normalized value of the total photovoltaic reactive power measurement value connected to the distribution network at the moment, t i The normalized value of the battery energy storage charge state measurement value connected to the distribution network at the moment, t iThe normalized value of the total reactive power measurement value of the reactive compensation equipment connected to the distribution network at the moment, Q WP,max For the period t1, t2, ..., t i ,...,t n The maximum value of the total reactive power measurement value of wind power connected to the distribution network during these n fixed time intervals, Q WP,min For the period t1, t2, ..., t i ,...,t n The minimum value of the total reactive power measurement of wind power connected to the distribution network during these n fixed time intervals, Q PV,max For the period t1, t2, ..., t i ,...,t n The maximum value of the total PV reactive power measurement value connected to the distribution network during these n fixed time intervals, Q PV,min For the period t1, t2, ..., t i ,...,t n The minimum value of the total PV reactive power measurement value connected to the distribution network during these n fixed time intervals, S ES,max For the period t1, t2, ..., t i ,...,t n The maximum value of the battery energy storage charge state measurement value connected to the distribution network at these n fixed time intervals, S ES,min For the period t1, t2, ..., t i ,...,t n The minimum value of the battery energy storage charge state measurement value connected to the distribution network during these n fixed time intervals, Q SVC,max For the period t1, t2, ..., t i ,...,t n The maximum value of the total reactive power measurement value of the reactive compensation equipment connected to the distribution network at these n fixed time intervals, Q SVC,min For the period t1, t2, ..., t i ,...,t n The minimum value of the total reactive power measurement value of the reactive compensation equipment connected to the distribution network at the time of the n fixed time intervals;

[0034] The calculation unit calculates the predicted value of the total reactive power of wind power connected to the distribution network at the next moment Prediction of total photovoltaic reactive power connected to the distribution network Prediction of the charge state of battery energy storage connected to the distribution network And the total reactive power prediction value of the reactive compensation equipment connected to the distribution network The formula is:

[0035]

[0036] Calculate the predicted value of the voltage support capability index of the distribution network based on distributed energy at the next moment The formula is:

[0037]

[0038] If the voltage is less than or equal to the threshold value A, it is determined that the voltage support capacity of the distribution network at the next moment is weak, and the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network are increased;

[0039] If it is greater than threshold A and less than or equal to threshold B, it is determined that the voltage support capacity of the distribution network at the next moment is moderate, and the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network are maintained;

[0040] If it is greater than the threshold value B, it is determined that the voltage support capacity of the distribution network at the next moment is strong, and the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network are reduced.

[0041] Furthermore, threshold A is 0.446 and threshold B is 0.786.

[0042] The technical solution adopted by the present invention is also: a computer-readable storage medium, including a program, and the program can be executed by a processor to implement the method for predicting the voltage support capability index of a distribution network based on distributed energy.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] 1. The present invention proposes a predicted value of the voltage support capability index of the distribution network of distributed energy. The predicted value can be used for the evaluation of the voltage regulation of the distribution network. The calculation result can evaluate whether the voltage regulation of the distribution network is accurate, determine whether the voltage support capability of the distribution network at the next moment is weak, moderate or strong, and guide the adjustment of the reactive power output of the distributed energy, so as to enhance the voltage stability of the distribution network by adjusting the reactive power output of the distributed energy in a timely manner.

[0045] 2. The present invention fully considers the influence of the reactive power of wind power, photovoltaic power and reactive compensation equipment and the charge state of battery energy storage on the voltage stability of the distribution network, measures the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, the charge state of battery energy storage connected to the distribution network and the total reactive power of reactive compensation equipment connected to the distribution network, and normalizes the data, and then calculates the predicted value of the total reactive power of wind power connected to the distribution network at the next moment, the predicted value of the total reactive power of photovoltaic power connected to the distribution network, the predicted value of the charge state of battery energy storage connected to the distribution network and the predicted value of the total reactive power of reactive compensation equipment connected to the distribution network, and then calculates the voltage support capability index of the distribution network based on distributed energy at the next moment, and evaluates whether the voltage regulation of the distribution network is accurate according to the calculation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is a flow chart of a method according to an embodiment of the present invention;

[0047] Figure 2 Schematic diagram of the structure of the system according to the embodiment of the present invention. DETAILED DESCRIPTION

[0048] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention is described in detail below with reference to the accompanying drawings and specific embodiments.

[0049] The embodiment of the present invention provides a method for predicting the voltage support capability index of a distribution network based on distributed energy resources, such as Figure 1 As shown, it includes the following steps:

[0050] Step 1: Measure the real-time status data of the distribution network and use the real-time status data to establish a time series. The real-time status data includes the time series at t1, t2, ..., t i ,...,t n The total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, the energy state of battery energy storage connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network are measured at these n fixed time intervals.

[0051] This embodiment selects the actual operation status of a regional distribution network as a case, measures a fixed time interval of 5 minutes, and takes 6 fixed time intervals for measurement, that is, n=6, i belongs to n, and measures the total reactive power of wind power connected to the distribution network at these 6 times. Total PV reactive power connected to the distribution network Battery energy storage charge status connected to the distribution network Total reactive power of reactive compensation equipment connected to the distribution network

[0052] Create the following time series:

[0053]

[0054] Step 2: Perform maximum and minimum normalization processing on the 24 real-time status data measured in step 1 to obtain the normalized value of the total reactive power measurement value of wind power connected to the distribution network, the normalized value of the total reactive power measurement value of photovoltaic connected to the distribution network, the normalized value of the battery energy storage charge state measurement value connected to the distribution network, and the normalized value of the total reactive power measurement value of the reactive compensation equipment connected to the distribution network:

[0055]

[0056] Step 3: Using the 24 normalized values ​​obtained in step 2, calculate the predicted total reactive power of wind power connected to the distribution network at the next time t7. Prediction of total photovoltaic reactive power connected to the distribution network Prediction of the charge state of battery energy storage connected to the distribution network And the total reactive power prediction value of the reactive compensation equipment connected to the distribution network

[0057]

[0058] Step 4: Based on the predicted value of the total reactive power of wind power connected to the distribution network Prediction of total photovoltaic reactive power connected to the distribution network Prediction of the charge state of battery energy storage connected to the distribution network And the total reactive power prediction value of the reactive compensation equipment connected to the distribution network Calculate the predicted value of the voltage support capability index of the distribution network based on distributed energy at the next time t7

[0059]

[0060] according to The calculation result determines the voltage support capacity of the distribution network at the next moment t7:

[0061] If it is less than or equal to 0.446, it is determined that the voltage support capacity of the distribution network at the next moment is weak, and it is necessary to increase the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network.

[0062] If it is greater than 0.446 and less than or equal to 0.786, it is determined that the voltage support capacity of the distribution network at the next moment is moderate and can maintain the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network.

[0063] If it is greater than 0.786, it is determined that the voltage support capacity of the distribution network at the next moment is strong, and it is necessary to reduce the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network.

[0064] The embodiment of the present invention provides a distribution network voltage support capability index prediction system based on distributed energy, such as Figure 2 As shown, it comprises a data measuring unit 1, a data processing unit 2 and a computing unit 3 which are connected in sequence.

[0065] The data measurement unit 1 is used to measure the real-time status data of the distribution network and establish a time series using the real-time status data. The real-time status data includes the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, the energy state of battery energy storage connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network.

[0066] The actual operation status of a regional distribution network is selected as a case, and the fixed measurement time interval is 5 minutes. Six fixed time intervals are taken for measurement, that is, n=6, i belongs to n, and the data measurement unit 1 measures the total reactive power of wind power connected to the distribution network at these six moments. Total PV reactive power connected to the distribution network Battery energy storage charge status connected to the distribution network Total reactive power of reactive compensation equipment connected to the distribution network Create the following time series:

[0067]

[0068] The data processing unit 2 is used to normalize the real-time status data. The data measurement unit 1 transmits the established time series to the data processing unit 2. The data processing unit 2 performs maximum and minimum value normalization on the received data to obtain

[0069]

[0070] The calculation unit 3 is used to calculate the total reactive power forecast value of wind power connected to the distribution network at the next moment, the total reactive power forecast value of photovoltaic power connected to the distribution network, the energy state forecast value of battery energy storage connected to the distribution network, and the total reactive power forecast value of reactive compensation equipment connected to the distribution network according to the real-time status data after normalization; then calculate the voltage support capability index forecast value of the distribution network based on distributed energy at the next moment according to the total reactive power forecast value of wind power connected to the distribution network, the total reactive power forecast value of photovoltaic power connected to the distribution network, the energy state forecast value of battery energy storage connected to the distribution network, and the total reactive power forecast value of reactive compensation equipment connected to the distribution network; determine the voltage support capability of the distribution network at the next moment according to the voltage support capability index forecast value of the distribution network based on distributed energy.

[0071] The data processing unit 2 transmits the normalized data to the calculation unit 3. The calculation unit 3 first calculates the total reactive power of wind power connected to the distribution network at the next time t7 using the normalized data. Total PV reactive power connected to the distribution network Battery energy storage charge status connected to the distribution network Total reactive power of reactive compensation equipment connected to the distribution network The calculation formula is as follows:

[0072]

[0073] The calculation unit 3 then calculates the predicted value of the voltage support capability index of the distribution network based on distributed energy at the next time t7:

[0074]

[0075] The calculation unit 3 then The calculation result determines the voltage support capacity of the distribution network at the next moment t7.

[0076] like If it is less than or equal to 0.446, it is determined that the voltage support capacity of the distribution network at the next moment is weak, and it is necessary to increase the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network;

[0077] like If it is greater than 0.446 and less than or equal to 0.786, it is determined that the voltage support capacity of the distribution network at the next moment is moderate and can maintain the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network;

[0078] like If it is greater than 0.786, it is determined that the voltage support capacity of the distribution network at the next moment is strong, and it is necessary to reduce the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network.

[0079] An embodiment of the present invention provides a computer-readable storage medium, including a program, wherein the program can be executed by a processor to implement the above-mentioned method for predicting the voltage support capability index of a distribution network based on distributed energy.

[0080] The present invention has been described in detail above through embodiments, but the contents described are only exemplary embodiments of the present invention and cannot be considered to limit the scope of implementation of the present invention. The protection scope of the present invention is defined by the claims. Anyone who utilizes the technical solution described in the present invention, or a technician in the field, inspired by the technical solution of the present invention, designs a similar technical solution within the essence and protection scope of the present invention to achieve the above technical effects, or makes equal changes and improvements to the scope of application, etc., shall still fall within the scope of protection covered by the patent of the present invention.

Claims

1. A method for predicting the voltage support capability index of a distribution network based on distributed energy, characterized in that: The following steps are involved: Measure the real-time status data of the distribution network, which includes the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, the energy state of battery energy storage connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network; Performing normalization processing on the real-time status data; According to the normalized real-time status data, the total reactive power forecast value of wind power connected to the distribution network at the next moment, the total reactive power forecast value of photovoltaic connected to the distribution network, the energy state forecast value of battery energy storage connected to the distribution network and the total reactive power forecast value of reactive compensation equipment connected to the distribution network are calculated; According to the predicted value of the total reactive power of wind power connected to the distribution network, the predicted value of the total reactive power of photovoltaic power connected to the distribution network, the predicted value of the charge state of the battery energy storage connected to the distribution network and the predicted value of the total reactive power of the reactive compensation equipment connected to the distribution network, the predicted value of the voltage support capability index of the distribution network based on distributed energy at the next moment is calculated; The voltage support capability of the distribution network at the next moment is determined according to the predicted value of the distribution network voltage support capability index based on distributed energy.

2. A method for predicting the voltage support capability index of a distribution network based on distributed energy according to claim 1, characterized in that: The real-time status data includes t1, t2, ..., t i ,...,t n The total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, the energy state of battery energy storage connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network are measured at these n fixed time intervals. Using the real-time status data, a time series is created: Where n is a natural number, and i belongs to n, n=1,2,..., t i The total reactive power of wind power connected to the distribution network is measured at all times. t i The total photovoltaic reactive power connected to the distribution network is measured at all times. t i The energy storage charge state of the battery connected to the distribution network is measured at all times. t i The total reactive power of the reactive compensation equipment connected to the distribution network measured at all times.

3. A method for predicting the voltage support capability index of a distribution network based on distributed energy as claimed in claim 2, characterized in that: The real-time status data is normalized as follows: in, t i The normalized value of the total reactive power measurement of wind power connected to the distribution network at the moment, t i The normalized value of the total photovoltaic reactive power measurement value connected to the distribution network at the moment, t i The normalized value of the battery energy storage charge state measurement value connected to the distribution network at the moment, t i The normalized value of the total reactive power measurement value of the reactive compensation equipment connected to the distribution network at the moment, Q WP,max For the period t1, t2, ..., t i ,...,t n The maximum value of the total reactive power measurement value of wind power connected to the distribution network during these n fixed time intervals, Q WP,min For the period t1, t2, ..., t i ,...,t n The minimum value of the total reactive power measured by the wind power connected to the distribution network during these n fixed time intervals, Q PV,max For the period t1, t2, ..., t i ,...,t n The maximum value of the total PV reactive power measurement value connected to the distribution network during these n fixed time intervals, Q PV,min For the period t1, t2, ..., t i ,...,t n The minimum value of the total PV reactive power measurement value connected to the distribution network during these n fixed time intervals, S ES,max For the period t1, t2, ..., t i ,...,t n The maximum value of the battery energy storage charge state measurement value connected to the distribution network at these n fixed time intervals, S ES,min For the period t1, t2, ..., t i ,...,t n The minimum value of the battery energy storage charge state measurement value connected to the distribution network during these n fixed time intervals, Q SVC,max For the period t1, t2, ..., t i ,...,t n The maximum value of the total reactive power measurement value of the reactive compensation equipment connected to the distribution network during these n fixed time intervals, Q SVC,min For the period t1, t2, ..., t i ,...,t n The minimum value of the total reactive power measurement value of the reactive compensation equipment connected to the distribution network during these n fixed time intervals.

4. A method for predicting the voltage support capability index of a distribution network based on distributed energy as claimed in claim 3, characterized in that: The predicted value of the total reactive power of wind power connected to the distribution network at the next moment Prediction of total photovoltaic reactive power connected to the distribution network Prediction of the charge state of battery energy storage connected to the distribution network And the total reactive power prediction value of the reactive compensation equipment connected to the distribution network The calculation formula is:

5. A method for predicting the voltage support capability index of a distribution network based on distributed energy as claimed in claim 4, characterized in that: The predicted value of the voltage support capability index of the distribution network based on distributed energy at the next moment The calculation formula is: If the voltage is less than or equal to the threshold value A, it is determined that the voltage support capacity of the distribution network at the next moment is weak, and the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network are increased; If it is greater than threshold A and less than or equal to threshold B, it is determined that the voltage support capacity of the distribution network at the next moment is moderate, and the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network are maintained; If it is greater than the threshold value B, it is determined that the voltage support capacity of the distribution network at the next moment is strong, and the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network are reduced.

6. A method for predicting the voltage support capability index of a distribution network based on distributed energy as claimed in claim 5, characterized in that: Threshold A is 0.446 and threshold B is 0.

786.

7. A distribution network voltage support capability index prediction system based on distributed energy, characterized in that: It includes a data measuring unit, a data processing unit and a computing unit connected in sequence, The data measurement unit is used to measure the real-time status data of the distribution network, and the real-time status data includes the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, the energy state of battery energy storage connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network; The data processing unit is used to perform normalization processing on the real-time status data; The calculation unit is used to calculate the total reactive power forecast value of wind power connected to the distribution network at the next moment, the total reactive power forecast value of photovoltaic power connected to the distribution network, the energy state forecast value of battery energy storage connected to the distribution network, and the total reactive power forecast value of reactive compensation equipment connected to the distribution network according to the real-time status data after normalization processing; and then calculate the voltage support capability index forecast value of the distribution network based on distributed energy at the next moment according to the total reactive power forecast value of wind power connected to the distribution network, the total reactive power forecast value of photovoltaic power connected to the distribution network, the energy state forecast value of battery energy storage connected to the distribution network, and the total reactive power forecast value of reactive compensation equipment connected to the distribution network; The voltage support capability of the distribution network at the next moment is then determined according to the predicted value of the distribution network voltage support capability index based on distributed energy.

8. A distributed energy distribution network voltage support capability index prediction system according to claim 7, characterized in that: The data measurement unit also uses the real-time status data to establish a time series: Among them, t1, t2, ..., t i ,...,t n is the measurement time of n fixed time intervals, n is a natural number, and i belongs to n, n=1,2,..., t i The total reactive power of wind power connected to the distribution network is measured at all times. t i The total photovoltaic reactive power connected to the distribution network is measured at all times. t i The energy storage charge state of the battery connected to the distribution network is measured at all times. t i The total reactive power of the reactive compensation equipment connected to the distribution network measured at all times; The data processing unit performs normalization processing on the real-time status data as follows: in, t i The normalized value of the total reactive power measurement of wind power connected to the distribution network at the moment, t i The normalized value of the total photovoltaic reactive power measurement value connected to the distribution network at the moment, t i The normalized value of the battery energy storage charge state measurement value connected to the distribution network at the moment, t i The normalized value of the total reactive power measurement value of the reactive compensation equipment connected to the distribution network at the moment, Q WP,max For the period t1, t2, ..., t i ,...,t n The maximum value of the total reactive power measurement value of wind power connected to the distribution network during these n fixed time intervals, Q WP,min For the period t1, t2, ..., t i ,...,t n The minimum value of the total reactive power measurement of wind power connected to the distribution network during these n fixed time intervals, Q PV,max For the period t1, t2, ..., t i ,...,t n The maximum value of the total PV reactive power measurement value connected to the distribution network during these n fixed time intervals, Q PV,min For the period t1, t2, ..., t i ,...,t n The minimum value of the total PV reactive power measurement value connected to the distribution network during these n fixed time intervals, S ES,max For the period t1, t2, ..., t i ,...,t n The maximum value of the battery energy storage charge state measurement value connected to the distribution network at these n fixed time intervals, S ES,min For the period t1, t2, ..., t i ,...,t n The minimum value of the battery energy storage charge state measurement value connected to the distribution network during these n fixed time intervals, Q SVC,max For the period t1, t2, ..., t i ,...,t n The maximum value of the total reactive power measurement value of the reactive compensation equipment connected to the distribution network at these n fixed time intervals, Q SVC,min For the period t1, t2, ..., t i ,...,t n The minimum value of the total reactive power measurement value of the reactive compensation equipment connected to the distribution network at the time of the n fixed time intervals; The calculation unit calculates the predicted value of the total reactive power of wind power connected to the distribution network at the next moment Prediction of total photovoltaic reactive power connected to the distribution network Prediction of the charge state of battery energy storage connected to the distribution network And the total reactive power prediction value of the reactive compensation equipment connected to the distribution network The formula is: The calculation unit calculates the predicted value of the voltage support capability index of the distribution network based on distributed energy at the next moment The formula is: If the voltage is less than or equal to the threshold value A, it is determined that the voltage support capacity of the distribution network at the next moment is weak, and the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network are increased; If it is greater than threshold A and less than or equal to threshold B, it is determined that the voltage support capacity of the distribution network at the next moment is moderate, and the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network are maintained; If it is greater than the threshold value B, it is determined that the voltage support capacity of the distribution network at the next moment is strong, and the total reactive power of wind power connected to the distribution network, the total reactive power of photovoltaic power connected to the distribution network, and the total reactive power of reactive compensation equipment connected to the distribution network are reduced.

9. A distributed energy distribution network voltage support capability index prediction system according to claim 8, characterized in that: Threshold A is 0.446 and threshold B is 0.

786.

10. A computer-readable storage medium, comprising a program, wherein the program can be executed by a processor to implement a method for predicting a voltage support capability index of a distribution network based on distributed energy resources as claimed in any one of claims 1 to 6.

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