Power distribution optimization method and system for distributed energy

Abstract

The invention belongs to the technical field of energy analysis, and provides a power distribution optimization method and system for distributed energy, and the method comprises the steps: obtaining output data of the distributed energy and demand data of an energy supply target of the distributed energy, carrying out the analysis, obtaining a power distribution adaptive value of the whole distributed energy, and carrying out the calculation of the power distribution adaptive value; according to the power distribution adaptive value of the overall distributed energy, whether the power distribution of the overall distributed energy is qualified or not is judged, the distributed energy with unqualified power distribution can be identified, and subsequent power distribution optimization of the distributed energy is facilitated; the energy supply target sequence table and the distributed energy source sequence table are obtained, and the power distribution access of the distributed energy sources is optimized and adjusted based on the energy supply target sequence table and the distributed energy source sequence table, so that the power distribution quality of the distributed energy sources is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy analysis, and in particular to a method and system for optimizing power distribution of distributed energy. Background Art

[0002] With the rapid development of renewable energy, distributed energy systems have gradually become an important part of energy supply. However, there are problems in distributed energy systems, such as the mismatch between energy source capacity and load demand, and difficulty in balancing, which seriously restricts the overall efficiency of the system.

[0003] Analyzing distributed energy distribution is an important prerequisite for ensuring the normal operation of energy supply targets and the safe and stable operation of distributed energy distribution. In the existing technology, there is a lack of whether the distributed energy can timely and accurately adjust the corresponding output power according to the changes in the power demand of the energy supply target, resulting in the inability to ensure the safety and stability of distributed energy distribution and the normal operation of the energy supply target, and resulting in low distribution quality and distribution efficiency.

[0004] To this end, the present invention provides a method and system for optimizing power distribution of distributed energy. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve the technical problem is: a distributed energy distribution optimization method, comprising: Step 1: Obtain the output data of distributed energy and the demand data of the energy supply target of distributed energy, analyze the output data and demand data, and obtain the distribution adaptability value of the overall distributed energy; Step 2: judging whether the power distribution of the overall distributed energy is qualified according to the power distribution adaptability value of the overall distributed energy, and generating a power distribution signal, wherein the power distribution signal includes a power distribution qualified signal and a power distribution optimization signal; comparing the power distribution adaptation value with a power distribution adaptation threshold; If the power distribution adaptation value is greater than the power distribution adaptation threshold, a power distribution optimization signal is generated; If the power distribution adaptation value is less than or equal to the power distribution adaptation threshold, a power distribution qualified signal is generated; Step 3: Based on the generated power distribution optimization signal, the energy supply target sequence table and the distributed energy sequence table are obtained, and the power distribution access of the distributed energy is optimized and adjusted based on the energy supply target sequence table and the distributed energy sequence table.

[0007] As a further technical solution of the present invention, the output data includes an output power value, and the demand data includes a demand power value; Obtain the output power value of the distributed energy and the demand power value of the target supplied by the distributed energy during the power distribution analysis period, mark and connect them in the XY coordinate system, and obtain the output power change curve and the demand power change curve; Based on the processing and analysis of the output power change curve and the demand power change curve, the output power deviation ratio PC and the duration overlap ratio CH are obtained; By formula: The output follow value SC is obtained, wherein s1 and s2 are both preset proportional coefficients; Based on the output follower value SC, the distributed energy is marked as normal distributed energy and abnormal distributed energy, and the abnormal distributed energy is analyzed and processed to obtain the distribution adaptation value.

[0008] As a further technical solution of the present invention, the time overlap ratio CH is obtained in the following manner: The peak points and trough points in the output power change curve are connected in sequence, and based on the corresponding time points of the peak points and trough points on the X-axis, the time period between the peak points and the trough points is obtained, and marked as the output change period; the peak points and trough points in the demand power change curve are connected in sequence, and based on the corresponding time points of the peak points and the trough points on the X-axis, the time period between the peak points and the trough points is obtained, and marked as the demand change period; Based on the demand power value and output power value in the overlapping period between the demand change period and the output change period, the output power change value in the overlapping period is obtained by difference processing, and the overlapping period is marked to obtain the normal overlapping period. The time lengths corresponding to all the normal overlapping periods are summed up to obtain the total overlapping time. The total overlapping time is ratio-processed with the time length corresponding to the distribution analysis cycle to obtain the time overlap ratio CH.

[0009] As a further technical solution of the present invention, the demand change period and the output change period are numbered, the demand change period with the same number is compared with the output change period, the overlapping period between the demand change period and the output change period with the same number is obtained, the demand power value corresponding to the start time point of the overlapping period and the demand power value corresponding to the end time point are obtained, and the difference processing is performed to obtain the demand power change value within the overlapping period. Similarly, the output power value corresponding to the start time point of the overlapping period and the output power value corresponding to the end time point are obtained, and the difference processing is performed to obtain the output power change value within the overlapping period. If the demand power change value and the output power change value have the same positive and negative sign, the coincidence period is marked as a normal coincidence period; If the demand power change value and the output power change value are opposite in sign, it is marked as an abnormal overlap period.

[0010] As a further technical solution of the present invention, the output power deviation ratio PC is obtained in the following manner: Obtain the demand power change value and the output power change value corresponding to the normal overlap period, perform difference processing on them, obtain the output power deviation value within the normal overlap period, sum and average all the output power deviation values ​​within the normal overlap period, obtain the output power deviation mean, sum and average all the demand power change values ​​within the normal overlap period, obtain the demand power change mean, perform ratio processing on the output power deviation mean and the demand power change mean, obtain the first output power deviation ratio; The first output power deviation ratio and the second output power deviation ratio are summed to obtain the output power deviation ratio PC.

[0011] As a further technical solution of the present invention, the second output power deviation ratio is obtained in the following manner: The output power value and the demand power value at the start time point of the normal overlap period are obtained, and the difference is processed and the absolute value of the difference is taken to obtain the initial output power deviation value; the output power value and the demand power value at the end time point of the normal overlap period are obtained, and the difference is processed and the absolute value of the difference is taken to obtain the end output power deviation value; the initial output power deviation value and the end output power deviation value are summed to obtain a comprehensive output power deviation value; the comprehensive output power deviation values ​​within all normal overlap periods are summed and averaged to obtain a comprehensive output power deviation mean; the demand power values ​​corresponding to the start time point and the end time point of all normal overlap periods are summed and averaged to obtain a demand power mean; the comprehensive output power deviation mean is ratioed with the demand power mean to obtain a second output power deviation ratio.

[0012] As a further technical solution of the present invention, the power distribution adaptability value is obtained in the following manner: Count the number of all abnormal distributed energy resources, and perform ratio processing on it with the number of distributed energy resources to obtain the abnormal distribution number ratio of distributed energy resources; The output follow value of the abnormal distributed energy is obtained, and the output follow value is subjected to difference processing with the output follow threshold, and the absolute value of the difference is taken to obtain the output follow difference, and the output follow difference values ​​of all abnormal distributed energy sources are summed and averaged to obtain the output follow difference mean of the abnormal distributed energy, and the output follow difference mean is subjected to ratio processing with the output follow threshold to obtain the abnormal distribution degree ratio of the distributed energy; The distribution adaptation value is obtained by summing the abnormal distribution quantity ratio and the abnormal distribution degree ratio.

[0013] As a further technical solution of the present invention, the energy supply target sequence table is obtained in the following manner: Based on the demand change period, the time length of the demand change period is obtained, the time lengths of all demand change periods are summed and averaged to obtain the average demand change switching time, and the average demand change switching time is ratioed with the time length corresponding to the power distribution analysis cycle to obtain the demand change switching time ratio; Obtain the power demand values ​​at the start time point and the end time point of the demand change period respectively, and perform difference processing to obtain the power demand change value within the demand change period; The power demand change values ​​in all demand change periods are summed and averaged to obtain the power demand change mean of the energy supply target in the demand change period, the power demand change mean of the energy supply target in the demand change period is obtained, and the summed and averaged to obtain the overall power demand change mean, and the power demand change mean is compared with the overall power demand change mean to obtain the demand switching degree ratio; The demand switching degree ratio and the demand change switching time ratio are processed to obtain the power demand change performance value of the energy supply target; The energy supply targets are arranged in descending order according to the power demand change performance value to obtain an energy supply target sequence table.

[0014] As a further technical solution of the present invention, the power demand change performance value of the energy supply target is marked as XB; The switching performance value FB of distributed energy is obtained by the formula: FB=a1*XB+a2*SC, where a1 and a2 are both preset proportional coefficients; Arrange the distributed energy resources according to the switching performance value FB from large to small to obtain a distributed energy sequence table; According to the energy supply target sequence table and the distributed energy sequence table, the distributed energy in the arrangement order is matched with the energy supply target, and the distributed energy corresponding to the energy supply target is optimized and adjusted according to the corresponding results.

[0015] A distributed energy distribution optimization system, comprising: Power distribution data acquisition module: obtains the output data of distributed energy and the demand data of the energy supply target of distributed energy, analyzes the output data and demand data, and obtains the power distribution adaptability value of the overall distributed energy; Power distribution analysis module: judges whether the power distribution of the overall distributed energy is qualified according to the power distribution adaptability value of the overall distributed energy, and generates a power distribution signal, wherein the power distribution signal includes a power distribution qualified signal and a power distribution optimization signal; comparing the power distribution adaptation value with a power distribution adaptation threshold; If the power distribution adaptation value is greater than the power distribution adaptation threshold, a power distribution optimization signal is generated; If the power distribution adaptation value is less than or equal to the power distribution adaptation threshold, a power distribution qualified signal is generated; Distribution optimization module: Based on the generation of distribution optimization signals, the energy supply target sequence table and the distributed energy sequence table are obtained, and the distribution access of distributed energy is optimized and adjusted based on the energy supply target sequence table and the distributed energy sequence table.

[0016] The beneficial effects of the present invention are as follows: 1. The present invention obtains the output data of distributed energy and the demand data of the target supplied by the distributed energy, performs analysis based on the output data and the demand data, obtains the distribution adaptability value of the overall distributed energy, judges whether the distribution of the overall distributed energy is qualified according to the distribution adaptability value of the overall distributed energy, and generates a distribution signal, wherein the distribution signal includes a distribution qualification signal and a distribution optimization signal. The present invention analyzes whether the distributed energy can timely and accurately adjust its own power output according to the changes in the power demand of the energy supply target, thereby judging the rationality of the distributed energy distribution, which is conducive to identifying the distributed energy with unqualified distribution and facilitating the subsequent distribution optimization of the distributed energy.

[0017] 2. The present invention is based on generating a power distribution optimization signal, obtaining a power supply target sequence table and a distributed energy sequence table, and optimizing and adjusting the power distribution access of distributed energy based on the power supply target sequence table and the distributed energy sequence table. The present invention analyzes the degree of change in the power demand of the energy supply target, and based on the degree of change in the power demand of the energy supply target and the follow-up change performance of the distributed energy, generates a target sequence table and a distributed energy sequence table, and optimizes and adjusts the access of the distributed energy according to the target sequence table and the distributed energy sequence table, which is beneficial to improving the power distribution quality of distributed energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention will be further described below in conjunction with the accompanying drawings.

[0019] Figure 1 is a flow chart of a distributed energy distribution optimization method according to Embodiment 1 of the present invention; Figure 2 is a flow chart of a distributed energy distribution optimization method according to Embodiment 2 of the present invention; Figure 3 It is a flowchart of a distributed energy distribution optimization system described in Example 3 of the present invention. DETAILED DESCRIPTION

[0020] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods. Example 1

[0021] like Figure 1 As shown, a distributed energy distribution optimization method according to an embodiment of the present invention includes: Step 1: Obtain the output data of distributed energy and the demand data of the energy supply target of distributed energy, analyze the output data and demand data, and obtain the distribution adaptability value of the overall distributed energy; The output data includes the output power value, which represents the power provided by the distributed energy production per unit time, and the demand data includes the demand power value, which represents the power required by the distributed energy supply target per unit time; It should be noted that the energy supply targets of distributed energy include target users, enterprises and factories that need distributed energy to provide electricity; In some embodiments, the output power value of the distributed energy and the demand power value of the target supplied by the distributed energy in the power distribution analysis period are obtained, and they are marked in the XY coordinate system, the marked output power value marking points are connected to obtain the output power change curve, and the marked demand power values ​​are connected to obtain the demand power change curve, wherein the X-axis represents time and the Y-axis represents power value; It should be noted that the power distribution analysis cycle represents the duration required for power distribution analysis based on the distributed energy power distribution analysis requirements; Connect the peak points and the trough points in the output power change curve in sequence, obtain the time period between the peak point and the trough point based on the corresponding time points of the peak point and the trough point on the X-axis, and mark it as the output change period, and mark it as the first output change period, the second output change period...the Nth output change period in chronological order, where N represents the sequential number of the output change period; Similarly, the peak points and the trough points in the demand power change curve are connected in sequence, and the time period between the peak point and the trough point is obtained based on the time points corresponding to the peak point and the trough point on the X-axis, and marked as the demand change period, and marked as the first demand change period, the second demand change period...the Nth demand change period in chronological order, where N represents the sequential number of the demand change period; Compare the demand change period with the output change period of the same number, obtain the overlapping period between the demand change period and the output change period of the same number, obtain the demand power value corresponding to the start time point of the overlapping period and the demand power value corresponding to the end time point, and perform difference processing on them to obtain the demand power change value within the overlapping period. Similarly, obtain the output power value corresponding to the start time point of the overlapping period and the output power value corresponding to the end time point, and perform difference processing on them to obtain the output power change value within the overlapping period; Among them, the demand power change value = the demand power value corresponding to the end time point of the overlap period - the demand power value corresponding to the start time point of the overlap period; the output power change value = the output power value corresponding to the end time point of the overlap period - the output power value corresponding to the start time point of the overlap period; comparing the demand power change value with the output power change value; If the demand power change value and the output power change value have the same positive and negative sign, the coincidence period is marked as a normal coincidence period; If the demand power change value and the output power change value are opposite in sign, it is marked as an abnormal coincidence period; It should be noted that the same positive and negative means that the demand power change value and the output power change value are both positive or negative or 0 at the same time. Except for the above three cases, the positive and negative are opposite. The time lengths corresponding to all normal coincidence periods are summed to obtain the total coincidence time, and the total coincidence time is ratioed to the time length corresponding to the power distribution analysis cycle to obtain the time length coincidence ratio; Obtain the demand power change value and the output power change value corresponding to the normal overlap period, perform difference processing on them, obtain the output power deviation value within the normal overlap period, sum and average all the output power deviation values ​​within the normal overlap period, obtain the output power deviation mean, sum and average all the demand power change values ​​within the normal overlap period, obtain the demand power change mean, perform ratio processing on the output power deviation mean and the demand power change mean, obtain the first output power deviation ratio; Obtain the output power value and the demand power value at the start time point of the normal overlap period, perform difference processing on them, and take the absolute value of the difference to obtain an initial output power deviation value, obtain the output power value and the demand power value at the end time point of the normal overlap period, perform difference processing on them, and take the absolute value of the difference to obtain an end output power deviation value, sum the initial output power deviation value and the end output power deviation value to obtain a comprehensive output power deviation value, sum and average the comprehensive output power deviation values ​​in all normal overlap periods to obtain a comprehensive output power deviation mean, sum and average the demand power values ​​corresponding to the start time point and the end time point of all normal overlap periods to obtain a demand power mean, perform ratio processing on the comprehensive output power deviation mean and the demand power mean to obtain a second output power deviation ratio; The first output power deviation ratio and the second output power deviation ratio are summed to obtain an output power deviation ratio; The output power deviation ratio is marked as PC; The duration overlap ratio is marked as CH; By formula: The output follow value SC is obtained, wherein s1 and s2 are both preset proportional coefficients; It should be noted that a technician in this field collects multiple sets of sample data and sets a corresponding preset proportional coefficient for each set of sample data; substitutes the preset proportional coefficient and the collected sample data into the formula, any two formulas form a binary linear equation system, and the calculated coefficients are screened and averaged to obtain s1 and s2 In some embodiments, the output follow value SC is compared with an output follow threshold; If the output follow value SC is greater than or equal to the output follow threshold, the distributed energy is marked as normal distributed energy; If the output follow value SC is less than the output follow threshold, the distributed energy is marked as abnormal distributed energy; It should be noted that normal distributed energy means that distributed energy can meet the changes in power demand of the energy supply target and can accurately and timely adjust its own power output according to the changes in power demand of the energy supply target. Conversely, abnormal distributed energy means that distributed energy cannot meet the changes in power demand of the energy supply target and cannot accurately and timely adjust its own power output according to the changes in power demand of the energy supply target. Count the number of all abnormal distributed energy resources, and perform ratio processing on it with the number of distributed energy resources to obtain the abnormal distribution number ratio of distributed energy resources; The output follow value of the abnormal distributed energy is obtained, and the output follow value is subjected to difference processing with the output follow threshold, and the absolute value of the difference is taken to obtain the output follow difference, and the output follow difference values ​​of all abnormal distributed energy sources are summed and averaged to obtain the output follow difference mean of the abnormal distributed energy, and the output follow difference mean is subjected to ratio processing with the output follow threshold to obtain the abnormal distribution degree ratio of the distributed energy; The distribution adaptation value is obtained by summing the abnormal distribution quantity ratio and the abnormal distribution degree ratio; Step 2: judging whether the power distribution of the overall distributed energy is qualified according to the power distribution adaptability value of the overall distributed energy, and generating a power distribution signal, wherein the power distribution signal includes a power distribution qualified signal and a power distribution optimization signal; In some embodiments, the power distribution adaptation value is compared to a power distribution adaptation threshold; If the power distribution adaptation value is greater than the power distribution adaptation threshold, a power distribution optimization signal is generated; If the power distribution adaptation value is less than or equal to the power distribution adaptation threshold, a power distribution qualified signal is generated; It should be noted that the distribution optimization signal indicates that among all distributed energy sources, there are a large number of distributed energy sources that cannot adjust their own power in a timely and accurate manner according to the changes in the power demand of the energy supply target, and the degree of abnormality in the inability to make accurate and timely adjustments is high. Conversely, the distribution qualification signal indicates that among all distributed energy sources, there are a large number of distributed energy sources that can adjust their own power in a timely and accurate manner according to the changes in the power demand of the energy supply target, and the distribution access of the distributed energy is qualified.

[0022] The technical solution of the embodiment of the present invention is: obtaining the output data of distributed energy and the demand data of the target supplied by the distributed energy, analyzing based on the output data and the demand data to obtain the distribution adaptability value of the overall distributed energy, judging whether the distribution of the overall distributed energy is qualified according to the distribution adaptability value of the overall distributed energy, and generating a distribution signal, wherein the distribution signal includes a distribution qualification signal and a distribution optimization signal. The present invention analyzes whether the distributed energy can adjust its own power output in a timely and accurate manner according to the changes in the power demand of the energy supply target, thereby judging the rationality of the distributed energy distribution, which is conducive to identifying distributed energy with unqualified distribution and facilitating the subsequent distribution optimization of distributed energy. Example 2

[0023] like Figure 2 As shown, based on Example 1, a distributed energy distribution optimization method according to an embodiment of the present invention includes: Step 3: Based on the generated power distribution optimization signal, the energy supply target sequence table and the distributed energy sequence table are obtained, and the power distribution access of the distributed energy is optimized and adjusted based on the energy supply target sequence table and the distributed energy sequence table; Specifically, based on the demand change period, the time length of the demand change period is obtained, the time lengths of all demand change periods are summed and averaged to obtain the average demand change switching time, and the average demand change switching time is ratioed with the time length corresponding to the power distribution analysis cycle to obtain the demand change switching time ratio; It should be noted that the demand change period includes a first demand change period, a second demand change period... an Nth demand change period; Obtain the power demand values ​​at the start time point and the end time point of the demand change period respectively, and perform difference processing to obtain the power demand change value within the demand change period; The power demand change values ​​in all demand change periods are summed and averaged to obtain the power demand change mean of the energy supply target in the demand change period, the power demand change mean of the energy supply target in the demand change period is obtained, and the summed and averaged to obtain the overall power demand change mean, and the power demand change mean is compared with the overall power demand change mean to obtain the demand switching degree ratio; The demand switching degree ratio and the demand change switching time ratio are processed to obtain the power demand change performance value of the energy supply target; Arrange the energy supply targets in descending order according to the power demand change performance value to obtain an energy supply target sequence table; The power demand change performance value of the energy supply target is marked as XB; The switching performance value FB of distributed energy is obtained by the formula: FB=a1*XB+a2*SC, where a1 and a2 are both preset proportional coefficients; It should be noted that a person skilled in the art collects multiple groups of sample data and sets a corresponding preset proportional coefficient for each group of sample data; substitutes the preset proportional coefficient and the collected sample data into the formula, any two formulas constitute a binary linear equation system, and the calculated coefficients are screened and averaged to obtain a1 and a2; Arrange the distributed energy resources according to the switching performance value FB from large to small to obtain a distributed energy sequence table; According to the energy supply target sequence table and the distributed energy sequence table, the distributed energy in the arrangement order is matched with the energy supply target, and the distributed energy corresponding to the energy supply target is optimized and adjusted according to the corresponding results.

[0024] The technical solution of the embodiment of the present invention is: based on generating a distribution optimization signal, an energy supply target sequence table and a distributed energy sequence table are obtained, and the distribution access of distributed energy is optimized and adjusted based on the energy supply target sequence table and the distributed energy sequence table. The present invention analyzes the degree of change in the demand power of the energy supply target, and based on the degree of change in the demand power of the energy supply target and the follow-up change performance of the distributed energy, a target sequence table and a distributed energy sequence table are generated, and the access of the distributed energy is optimized and adjusted according to the target sequence table and the distributed energy sequence table, which is beneficial to improving the distribution quality of distributed energy. Example 3

[0025] like Figure 3 As shown, a distributed energy distribution optimization system according to an embodiment of the present invention includes: Power distribution data acquisition module: obtains the output data of distributed energy and the demand data of the energy supply target of distributed energy, analyzes the output data and demand data, and obtains the power distribution adaptability value of the overall distributed energy; Power distribution analysis module: judges whether the power distribution of the overall distributed energy is qualified according to the power distribution adaptability value of the overall distributed energy, and generates a power distribution signal, wherein the power distribution signal includes a power distribution qualified signal and a power distribution optimization signal; Distribution optimization module: Based on the generation of distribution optimization signals, the energy supply target sequence table and the distributed energy sequence table are obtained, and the distribution access of distributed energy is optimized and adjusted based on the energy supply target sequence table and the distributed energy sequence table.

[0026] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for optimizing power distribution of distributed energy, characterized in that: include: Step 1: Obtain the output data of distributed energy and the demand data of the energy supply target of distributed energy, analyze the output data and demand data, and obtain the distribution adaptability value of the overall distributed energy; Wherein, the output data includes output power value, and the demand data includes demand power value; The method for obtaining the power distribution adaptability value is as follows: Obtain the output power value of the distributed energy and the demand power value of the target supplied by the distributed energy during the power distribution analysis period, and mark and connect them in the XY coordinate system to obtain the output power change curve and the demand power change curve; Based on the processing and analysis of the output power change curve and the demand power change curve, the output power deviation ratio PC and the duration overlap ratio CH are obtained; By formula: The output follow value SC is obtained, where s1 and s2 are both preset proportional coefficients; Based on the output follower value SC, the distributed energy is marked as normal distributed energy and abnormal distributed energy, and the abnormal distributed energy is analyzed and processed to obtain the distribution adaptation value; Step 2: judging whether the power distribution of the overall distributed energy is qualified according to the power distribution adaptability value of the overall distributed energy, and comparing the power distribution adaptability value with the power distribution adaptability threshold; If the power distribution adaptation value is greater than the power distribution adaptation threshold, a power distribution optimization signal is generated; Step 3: Based on the generated power distribution optimization signal, the energy supply target sequence table and the distributed energy sequence table are obtained, and the power distribution access of the distributed energy is optimized and adjusted based on the energy supply target sequence table and the distributed energy sequence table.

2. The method for optimizing power distribution of distributed energy according to claim 1, characterized in that: The time overlap ratio CH is obtained in the following manner: The peak points and trough points in the output power change curve are connected in sequence, and based on the corresponding time points of the peak points and trough points on the X-axis, the time period between the peak points and the trough points is obtained, and marked as the output change period; the peak points and trough points in the demand power change curve are connected in sequence, and based on the corresponding time points of the peak points and the trough points on the X-axis, the time period between the peak points and the trough points is obtained, and marked as the demand change period; The demand power value and the output power value in the overlapping period between the demand change period and the output change period are processed by difference to obtain the output power change value in the overlapping period, and the overlapping period is marked to obtain the normal overlapping period. The time lengths corresponding to all the normal overlapping periods are summed to obtain the total overlapping time. The total overlapping time is ratioed with the time corresponding to the distribution analysis cycle to obtain the time overlap ratio CH.

3. The method for optimizing power distribution of distributed energy according to claim 2, characterized in that: The normal overlap period is obtained as follows: The demand change period and the output change period are numbered, and the demand change period with the same number is compared with the output change period to obtain the overlapping period between the demand change period and the output change period with the same number, and the demand power value corresponding to the start time point of the overlapping period and the demand power value corresponding to the end time point are obtained, and the difference processing is performed to obtain the demand power change value within the overlapping period. Similarly, the output power value corresponding to the start time point of the overlapping period and the output power value corresponding to the end time point are obtained, and the difference processing is performed to obtain the output power change value within the overlapping period; If the demand power change value and the output power change value have the same positive and negative sign, the overlapping period is marked as a normal overlapping period.

4. The method for optimizing power distribution of distributed energy according to claim 1, characterized in that: The output power deviation ratio PC is obtained as follows: Obtain the demand power change value and the output power change value corresponding to the normal overlap period, perform difference processing on them, obtain the output power deviation value within the normal overlap period, sum and average all the output power deviation values ​​within the normal overlap period, obtain the output power deviation mean, sum and average all the demand power change values ​​within the normal overlap period, obtain the demand power change mean, perform ratio processing on the output power deviation mean and the demand power change mean, obtain the first output power deviation ratio; The first output power deviation ratio and the second output power deviation ratio are summed to obtain the output power deviation ratio PC.

5. The method for optimizing power distribution of distributed energy according to claim 4, characterized in that: The second output power deviation ratio is obtained as follows: The output power value and the demand power value at the start time point of the normal overlap period are obtained, and the difference is processed and the absolute value of the difference is taken to obtain the initial output power deviation value; the output power value and the demand power value at the end time point of the normal overlap period are obtained, and the difference is processed and the absolute value of the difference is taken to obtain the end output power deviation value; the initial output power deviation value and the end output power deviation value are summed to obtain a comprehensive output power deviation value; the comprehensive output power deviation values ​​within all normal overlap periods are summed and averaged to obtain a comprehensive output power deviation mean; the demand power values ​​corresponding to the start time point and the end time point of all normal overlap periods are summed and averaged to obtain a demand power mean; the comprehensive output power deviation mean is ratioed with the demand power mean to obtain a second output power deviation ratio.

6. The method for optimizing power distribution of distributed energy according to claim 1, characterized in that: The process of analyzing and processing the abnormal distributed energy is as follows: Count the number of all abnormal distributed energy resources, and perform ratio processing on it with the number of distributed energy resources to obtain the abnormal distribution number ratio of distributed energy resources; The output follow value of the abnormal distributed energy is obtained, and the output follow value is subjected to difference processing with the output follow threshold, and the absolute value of the difference is taken to obtain the output follow difference, and the output follow difference values ​​of all abnormal distributed energy sources are summed and averaged to obtain the output follow difference mean of the abnormal distributed energy, and the output follow difference mean is subjected to ratio processing with the output follow threshold to obtain the abnormal distribution degree ratio of the distributed energy; The distribution adaptation value is obtained by summing the abnormal distribution quantity ratio and the abnormal distribution degree ratio.

7. The method for optimizing power distribution of distributed energy according to claim 1, characterized in that: Based on the generation of power distribution optimization signals, the energy supply target sequence table is obtained as follows: Obtain the power demand values ​​at the start time point and the end time point of the demand change period respectively, and perform difference processing to obtain the power demand change value within the demand change period; The power demand change values ​​in all demand change periods are summed and averaged to obtain the power demand change mean of the energy supply target in the demand change period, the power demand change mean of the energy supply target in the demand change period is obtained, and the summed and averaged to obtain the overall power demand change mean, and the power demand change mean is compared with the overall power demand change mean to obtain the demand switching degree ratio; The demand switching degree ratio and the demand change switching time ratio are processed to obtain the power demand change performance value of the energy supply target; The energy supply targets are arranged in descending order according to the power demand change performance value to obtain an energy supply target sequence table.

8. The method for optimizing power distribution of distributed energy according to claim 7, characterized in that: The method for obtaining the demand change switching time ratio is as follows: Based on the demand change period, the time length of the demand change period is obtained, the time lengths of all demand change periods are summed and averaged to obtain the average demand change switching time, and the average demand change switching time is ratioed with the time length corresponding to the power distribution analysis cycle to obtain the demand change switching time ratio.

9. The method for optimizing power distribution of distributed energy according to claim 7, characterized in that: Based on the generation of distribution optimization signals, the process of obtaining the distributed energy sequence table is as follows: The power demand change performance value of the energy supply target is marked as XB; The switching performance value FB of distributed energy is obtained by the formula: FB=a1*XB+a2*SC, where a1 and a2 are both preset proportional coefficients; Arrange the distributed energy sources according to the switching performance value FB from large to small to obtain a distributed energy sequence table.

10. A distributed energy distribution optimization system, the system is used to implement the distribution optimization method according to any one of claims 1 to 9, characterized in that: include: Power distribution data acquisition module: obtains the output data of distributed energy and the demand data of the energy supply target of distributed energy, analyzes the output data and demand data, and obtains the power distribution adaptability value of the overall distributed energy; Power distribution analysis module: judges whether the power distribution of the overall distributed energy is qualified according to the power distribution adaptability value of the overall distributed energy, and generates a power distribution signal, wherein the power distribution signal includes a power distribution qualified signal and a power distribution optimization signal; comparing the power distribution adaptation value with a power distribution adaptation threshold; If the power distribution adaptation value is greater than the power distribution adaptation threshold, a power distribution optimization signal is generated; If the power distribution adaptation value is less than or equal to the power distribution adaptation threshold, a power distribution qualified signal is generated; Distribution optimization module: Based on the generation of distribution optimization signals, the energy supply target sequence table and the distributed energy sequence table are obtained, and the distribution access of distributed energy is optimized and adjusted based on the energy supply target sequence table and the distributed energy sequence table.

Images