A network reconstruction method and system for improving power supply capacity of distribution network

Abstract

The present invention discloses a network reconstruction method and system for improving the power supply capacity of a distribution network, relates to the technical field of power supply network management, and solves the technical problem in the prior art that it is impossible to divide the power curve according to the power supply, distribution and power consumption in each time period in the power supply network, and it is impossible to intuitively judge the type alternation situation of each time period of the current power supply network. Specifically, the power curve is divided according to the power supply, distribution and power consumption in each time period in the power supply network, and the power supply network detection time period, the distribution network detection time period and the power consumption network detection time period are obtained according to the power supply curve, the distribution curve and the power consumption curve respectively, so as to intuitively judge the type alternation situation of each time period of the current power supply network, further improve the performance evaluation accuracy of the power supply network, and also carry out targeted rectification and advance prevention for the load intensity of each time period, strengthen the operation monitoring of the power supply network in each time period to ensure the reliability of the power supply network.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply network management, and in particular to a network reconstruction method and system for improving the power supply capacity of a distribution network. Background Art

[0002] The distribution network is an important link in the power system that connects the transmission network and the user side. It is mainly responsible for distributing electric energy to various user terminals. The distribution network is usually composed of overhead lines, cables, transformers, switchgear, capacitor banks, etc.

[0003] However, in the existing technology, it is impossible to perform performance evaluation on the current distribution network power supply network when the distribution network is operating, resulting in the inability to ensure the operational qualification and stability of the distribution network when improving the power supply capacity. In addition, it is impossible to divide the power curve according to the power supply, distribution and power consumption in each time period in the power supply network, and it is impossible to intuitively judge the type alternation of the current power supply network in each time period, resulting in a decrease in the targeted reconstruction of the power supply network.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a network reconstruction method and system for improving the power supply capacity of the distribution network.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A network reconstruction system for improving the power supply capacity of a distribution network includes a power supply network construction platform, wherein the power supply network construction platform is connected to a power supply network performance evaluation unit, a power supply network detection unit, a distribution network detection unit, and a power consumption network detection unit: The power supply network performance evaluation unit is used to obtain the historical operation time period of the power supply network of the distribution network, arbitrarily select a period of any length from the historical operation time period and reorganize it into a performance evaluation period, collect performance evaluation parameters, obtain the power supply network performance evaluation coefficient of the distribution network, and judge whether the power supply network performance evaluation is qualified according to the coefficient comparison; If the power supply network performance evaluation of the distribution network is qualified, a performance evaluation qualified signal is generated and sent to the power supply network construction platform, and a network curve division analysis signal is generated and sent to the network curve division analysis unit; If the power supply network performance evaluation of the distribution network fails, a performance evaluation failure signal is generated and sent to the power supply network construction platform; The network curve division and analysis unit is used to collect the power supply, distribution and consumption at each sub-time of the performance evaluation period and construct the power supply curve, distribution curve and consumption curve, collect network delay time information and network deviation power information, judge whether the supply performance is inefficient based on information comparison, send the corresponding signal to the power supply network construction platform, and divide the power supply network detection period, distribution network detection period and consumption network detection period according to the power supply curve, distribution curve and consumption curve respectively; The power supply network detection unit is used to collect power supply radius parameters and radius loss parameters during the power supply network detection period, make a basic supply network qualification judgment based on parameter analysis, and reconstruct the power supply network if it is unqualified; The power distribution network detection unit is used to collect power distribution fluctuation impact data and power distribution continuous impact data during the power distribution network detection period, make eligibility judgments on the external power distribution network based on data analysis, and reconstruct the power supply network if it is unqualified; The power consumption network detection unit is used to obtain the power consumption forecast deviation information and power consumption forecast impact information during the power consumption network detection period, determine whether the power consumption forecast is qualified based on information analysis, and reconstruct the power supply network.

[0007] As a preferred embodiment of the present invention, the performance evaluation parameters include the average supply time ratio of power supply users in the power supply network, the ratio of the cumulative operating time of the actual operating voltage of the power supply network within the allowable voltage value deviation range to the cumulative operating time of the power supply network during the distribution network performance evaluation period, the reduction span of the proportion of power supply users whose average power supply time ratio is within the qualified ratio deviation range during the non-intersection period of the actual operating time and the cumulative operating time of the power supply network, and the reduction span of the ratio of the remaining storage capacity of the real-time power supply of the transformer in the power supply network to the real-time supply load during the reduction of the proportion of the power supply users within the qualified ratio deviation range.

[0008] As a preferred embodiment of the present invention, if the power supply network performance evaluation coefficient of the distribution network exceeds the power supply network performance evaluation coefficient threshold, the power supply network performance evaluation of the distribution network is judged to be qualified; if the power supply network performance evaluation coefficient of the distribution network does not exceed the power supply network performance evaluation coefficient threshold, the power supply network performance evaluation of the distribution network is judged to be unqualified.

[0009] As a preferred embodiment of the present invention, the network delay duration information and the network deviation power information are respectively the duration deviation of the starting points of the power supply curve and the distribution curve corresponding to the curve within the performance evaluation period, and the deviation ratio of the duration deviation of the distribution curve and the starting point of the power consumption curve, and the power value ratio quotient of the power value ratio of the power supply curve and the distribution curve at the same time point within the performance evaluation period, and the power value ratio quotient of the power value ratio of the distribution curve and the power consumption curve at the same time point; If the network delay duration information is not within the duration deviation ratio threshold range, or the network deviation power information is not within the power value ratio threshold range, then the supply performance of the power supply network during the performance evaluation period is determined to be inefficient; if the network delay duration information is within the duration deviation ratio threshold range, and the network deviation power information is within the power value ratio threshold range, then the supply performance of the power supply network during the performance evaluation period is determined to be efficient.

[0010] As a preferred embodiment of the present invention, the curve division process is as follows: When the power supply curve shows a decreasing trend and the distribution curve shows an increasing or constant trend, if the difference in electricity between the corresponding power supply curve and the distribution curve at the same time exceeds the set threshold, the overlapping time of the current decreasing power supply curve and the increasing or constant distribution curve is marked as the power supply network detection period; when the power supply curve shows an increasing trend and the power consumption curve shows a decreasing trend, and at the same time the maximum deviation value of the electricity between the power supply curve and the power consumption curve at the same time continues to increase, the overlapping time of the current increasing power supply curve and the decreasing power consumption curve is marked as the distribution network detection period; if the power supply curve and the distribution curve show non-decreasing trends at the same time, the time period when the corresponding curves show non-decreasing trends at the same time is obtained, and the time period when the deviation value between the real-time power consumption and the real-time demand load in the power consumption curve in the corresponding time period increases is marked as the power consumption network detection period.

[0011] As a preferred embodiment of the present invention, the power supply radius parameter and the radius loss parameter are respectively the average power supply radius corresponding to the power supply end and the distribution end in the current distribution network coverage area within the power supply network detection period, and the deviation distance between the maximum supply distance and the minimum supply distance between the power supply end and the distribution end under the current average power supply radius. The proportion of the power loss and the transmission amount at any time in the current working scenario; If the power supply radius parameter exceeds the average power supply radius threshold, a power station location network adjustment signal is generated; If the radius loss parameter exceeds the loss ratio threshold, a supply line network adjustment signal is generated; If the power supply radius parameter does not exceed the average power supply radius threshold, and the radius loss parameter does not exceed the loss ratio threshold, the generated basic supply network is qualified.

[0012] As a preferred embodiment of the present invention, the power distribution fluctuation impact data and the power distribution continuous impact data are respectively the increase in the period of overlap between the voltage fluctuation occurrence frequency of the access point in the area where the distributed power source external connection location is set in the power supply network during the power distribution network detection period and the period of overlap between the power distribution network distribution frequency required in the corresponding area, and the numerical ratio of the shortest interval duration of the distributed external power supply interruption frequency in the power supply network detected by the distribution network to the maximum duration of the increase in the power distribution network distribution frequency; If the power distribution fluctuation impact data exceeds the cycle overlap duration increase threshold, or the power distribution continuous impact data does not exceed the duration value ratio threshold, a power distribution network abnormality signal is generated; If the power distribution fluctuation impact data does not exceed the cycle overlap duration increase threshold, and the power distribution continuous impact data exceeds the duration value ratio threshold, a normal distribution network signal is generated.

[0013] As a preferred embodiment of the present invention, the electricity consumption forecast deviation information and the electricity consumption forecast impact information are respectively the frequency growth rate of the high-span fluctuation of the electricity demand load in the area covered by the distribution network during the supply intermittent cycle set by the distribution network within the power network detection period, and the minimum value of the excess amount corresponding to the temporary power supply peak of the distribution network at any time and the electricity demand load after the fluctuation when the electricity demand load in the area covered by the distribution network fluctuates with a high span.

[0014] As a preferred embodiment of the present invention, if the power consumption forecast deviation information exceeds the floating frequency growth rate threshold, or the power consumption forecast impact information does not exceed the excess minimum value threshold, the power consumption network detection unit determines that the power consumption network detection is unqualified; If the power consumption forecast deviation information does not exceed the floating frequency growth rate threshold, and the power consumption forecast impact information exceeds the minimum excess value threshold, the power consumption network detection unit determines that the power consumption network detection is qualified.

[0015] A network reconstruction method for improving the power supply capacity of a distribution network, the specific method steps are as follows: Step 1: Power supply network performance evaluation: obtain the historical operation time period of the power supply network of the distribution network and select any length of the historical operation time period and reorganize it into a performance evaluation period, collect performance evaluation parameters, substitute them into the formula to obtain the power supply network performance evaluation coefficient of the distribution network, and judge whether the power supply network performance evaluation is qualified according to the coefficient comparison; Step 2: Network curve division and analysis: collect the power supply, distribution and consumption at each sub-time and construct the power supply curve, distribution curve and consumption curve; collect network delay time information and network deviation power information; judge whether the supply performance is inefficient based on information comparison; and divide the power supply network detection period, distribution network detection period and consumption network detection period according to the curve; Step 3: Power supply network detection, collecting power supply radius parameters and radius loss parameters during the power supply network detection period, making a basic supply network qualification determination based on parameter analysis, and reconstructing the network if it is unqualified; Step 4: Power distribution network detection, collecting power distribution fluctuation impact data and power distribution continuous impact data during the power distribution network detection period, making eligibility determination for the external power distribution network based on data analysis, and reconstructing the network if it is unqualified; Step 5: Power consumption network detection, obtain power consumption forecast deviation information and power consumption forecast impact information during the power consumption network detection period, determine whether the power consumption forecast is qualified based on information analysis, and reconstruct the power supply network.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, a performance evaluation is performed on the current power distribution network. First, the performance of the power supply network is evaluated and an optimization analysis of the power supply network is performed after the evaluation is qualified, so that the power supply network can be optimized and analyzed in real time to construct the network, so as to improve the power supply capacity of the distribution network, and avoid the inability to ensure the operation qualification and stability of the distribution network when improving the power supply capacity, avoid low improvement efficiency and high risk of improvement failure during the improvement process, and instead reduce the original power supply performance of the distribution network and cannot be steadily improved on the original qualified basis.

[0017] 2. In the present invention, the electricity curve is divided according to the power supply, distribution and consumption in each time period in the power supply network, so as to intuitively judge the type alternation of each time period of the current power supply network, further improve the accuracy of performance evaluation of the power supply network, and carry out targeted rectification and prior prevention for the load intensity in each time period, thereby strengthening the operation monitoring of the power supply network in each time period to ensure the reliability of the power supply network.

[0018] 3. In the present invention, the power supply curve, distribution curve and power consumption curve are divided into time periods to improve the pertinence of network reconstruction, and the network reconstruction is made more in line with the actual power supply demand through real-time curve analysis; the power supply architecture in the power supply network is detected during the power supply network detection period to determine whether the power supply architecture in the power supply network meets the current distribution network operation requirements and ensure the supply efficiency of the current power supply architecture; by monitoring the distribution performance in the power supply network, it is determined whether the distribution network in the current area meets the actual needs to ensure the eligibility of the power supply network, and the distribution network is reconstructed when necessary to improve the operation efficiency of the entire distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0020] Figure 1 This is a principle block diagram of Embodiment 1 of the present invention; Figure 2 This is a principle block diagram of the second embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments. Embodiment 1

[0023] This embodiment performs a performance evaluation on the power supply network to ensure the power supply efficiency of the real-time distribution network; please refer to Figure 1 As shown, a network reconstruction system for improving the power supply capacity of a distribution network includes a power supply network construction platform, wherein the power supply network construction platform is communicatively connected to a power supply network performance evaluation unit and a network curve division and analysis unit; The power supply network construction platform generates a power supply network performance evaluation signal and sends the power supply network performance evaluation signal to the power supply network performance evaluation unit. After receiving the power supply network performance evaluation signal, the power supply network performance evaluation unit evaluates the performance of the current distribution network power supply network. First, the performance of the power supply network is evaluated and the power supply network optimization analysis is performed after the evaluation is qualified, so as to be able to optimize and analyze the power supply network in real time to build the network, so as to improve the power supply capacity of the distribution network, and avoid the failure to ensure the operation qualification and stability of the distribution network when improving the power supply capacity, and avoid the low improvement efficiency and high risk of improvement failure during the improvement process, but reduce the original power supply performance of the distribution network and cannot be steadily improved on the original qualified basis; The historical operation time period of the power supply network of the distribution network is obtained, and any time period of any length is arbitrarily selected from the historical operation time period and reorganized into a performance evaluation time period; therefore, the performance evaluation time period can be the real-time power supply time period of the power supply network, or the time period before power supply or the time period after power supply; the numerical ratio of the cumulative effective power supply time of the power supply network corresponding to the power supply user in the distribution network performance evaluation time period and the total power supply time of the distribution network for the same power supply user is obtained, and the average supply time numerical ratio of the power supply users in the power supply network is obtained according to the mean value calculation, and the average supply time numerical ratio of the power supply users in the power supply network is set to a label JSC; wherein the effective power supply time is represented by the time period when the equipment that the power supply user needs to supply electricity receives electricity and operates normally; The proportion of the cumulative operating time of the actual operating voltage of the power supply network within the allowable voltage value deviation range to the cumulative operating time of the power supply network during the distribution network performance evaluation period is obtained, and the proportion of the cumulative operating time of the actual operating voltage of the power supply network within the allowable voltage value deviation range to the cumulative operating time of the power supply network during the distribution network performance evaluation period is marked as SCB; at the same time, the average power supply time value ratio in the non-intersecting period of the actual operating time and the cumulative operating time of the power supply network is reduced by the proportion of the number of power supply users within the qualified ratio deviation range, and the average power supply time value ratio in the non-intersecting period of the actual operating time and the cumulative operating time of the power supply network is reduced by the proportion of the number of power supply users within the qualified ratio deviation range is marked as JDK; Obtain the reduction span of the ratio of the remaining storage capacity of the real-time power supply of the transformer in the power supply network to the real-time supply load during the process of reducing the proportion of the number of power users within the qualified ratio deviation range, and mark the reduction span of the ratio of the remaining storage capacity of the real-time power supply of the transformer in the power supply network to the real-time supply load during the process of reducing the proportion of the number of power users within the qualified ratio deviation range as DBJ; The above collected data are uniformly marked as performance evaluation parameters and substituted into the formula to obtain the power supply network performance evaluation coefficient XN of the distribution network, where the formula is: , where mk1, mk2, mk3 and mk4 are respectively the preset proportional coefficients of the average supply duration ratio of power users, the duration ratio of the cumulative operation duration, the reduction span of the proportion of the number of power users, and the reduction span of the ratio of the remaining storage capacity to the real-time supply load, and e is a natural constant, and β is an error correction factor with a value of 0.98; Compare the power supply network performance evaluation coefficient XN of the distribution network with the power supply network performance evaluation coefficient threshold: If the power supply network performance evaluation coefficient XN of the distribution network exceeds the power supply network performance evaluation coefficient threshold, the power supply network performance evaluation of the distribution network is determined to be qualified, a performance evaluation qualified signal is generated and the performance evaluation qualified signal is sent to the power supply network construction platform, and a network curve division analysis signal is generated and sent to the network curve division analysis unit; If the power supply network performance evaluation coefficient XN of the distribution network does not exceed the power supply network performance evaluation coefficient threshold, the power supply network performance evaluation of the distribution network is determined to be unqualified, and a performance evaluation unqualified signal is generated and sent to the power supply network construction platform. After receiving the performance evaluation unqualified signal, the power supply network construction platform performs structural rectification on the power supply network of the distribution network, and performs operation and maintenance inspection on the electrical equipment of each supply node of the power supply network, such as transformers and other equipment, and replaces the electrical equipment model in a targeted manner according to the operation and maintenance inspection results; After receiving the network curve division analysis signal, the network curve division analysis unit performs an electricity curve division analysis on the power supply network in the distribution network, and divides the electricity curve according to the power supply, distribution and power consumption in each period of the power supply network, so as to intuitively judge the type alternation of each period of the current power supply network, further improve the accuracy of the performance evaluation of the power supply network, and also carry out targeted rectification and prior prevention for the load intensity of each period, and strengthen the operation monitoring of the power supply network in each period to ensure the reliability of the power supply network; Taking the performance evaluation period as the horizontal axis and the power value as the vertical axis, the performance evaluation period is divided into several sub-times at equal intervals, and the power supply, distribution and consumption of each sub-time are substituted into the coordinate system to construct the power supply curve, distribution curve and consumption curve; The duration deviation of the starting points of the power supply curve and the distribution curve corresponding to the performance evaluation period, and the duration deviation of the distribution curve and the power consumption curve starting point are obtained, and the corresponding duration deviation ratio is obtained through the ratio, and the duration deviation ratio is marked as the network delay duration information, and the power value ratio corresponding to the power supply curve and the distribution curve at the same time point in the performance evaluation period, and the power value ratio quotient is obtained through the ratio calculation, and the collection time point is the same time point of the three curves, the power value ratio is marked as the network deviation power information, and is compared with the duration deviation ratio threshold range and the power value ratio quotient threshold range respectively: If the time deviation of the starting points of the power supply curve and the distribution curve corresponding to the time deviation and the corresponding deviation ratio of the starting points of the distribution curve and the power consumption curve during the performance evaluation period are not within the time deviation ratio threshold range, or the power value ratio quotient of the power value ratio of the power supply curve and the distribution curve at the same time point and the power value ratio of the distribution curve and the power consumption curve at the same time point during the performance evaluation period are not within the power value ratio quotient threshold range, then it is determined that the supply performance of the power supply network during the performance evaluation period is inefficient, a performance adjustment signal is generated and sent to the power supply network construction platform, and the power supply network construction platform performs targeted regulation according to the position of the information value in the corresponding set range to change the supply architecture of the power supply network to ensure supply efficiency; If the time deviation of the starting points of the power supply curve and the distribution curve corresponding to the time deviation and the corresponding deviation ratio of the starting points of the distribution curve and the power consumption curve during the performance evaluation period are within the time deviation ratio threshold range, and the power value ratio quotient of the power value ratio of the power supply curve and the distribution curve at the same time point and the power value ratio of the distribution curve and the power consumption curve at the same time point during the performance evaluation period are within the power value ratio quotient threshold range, then it is determined that the supply performance of the power supply network during the performance evaluation period is efficient, a qualified performance signal is generated and the qualified performance signal is sent to the power supply network construction platform; Embodiment 2

[0024] In the above embodiment, the performance evaluation is mainly performed on the power supply network, but the performance evaluation is performed on the power supply network as a whole, and it is not possible to perform performance detection in a specific period or a specific link, so that the power supply network reconstruction cannot be performed more specifically. This embodiment performs a specific evaluation of the power supply network on the basis of the previous embodiment, so that the network reconstruction of the distribution network is more specific and accurate, and the impact of the network reconstruction on the entire power supply network is reduced; please refer to Figure 2 As shown, the network curve division and analysis unit and the power supply network construction platform are communicatively connected with a distribution network detection unit, a power supply network detection unit and a power consumption network detection unit; In this embodiment, the network curve division and analysis unit divides the power supply curve, the power distribution curve and the power consumption curve into time periods to improve the pertinence of the network reconstruction. Through real-time curve analysis, the network reconstruction is more in line with the actual power supply demand. According to the real-time curve analysis, when the power supply curve shows a decreasing trend and the distribution curve shows an increasing or constant trend, if the power difference between the corresponding power supply curve and the distribution curve at the same time exceeds the set threshold, the overlapping time of the current decreasing power supply curve and the increasing or constant distribution curve is marked as the power supply network detection period; when the power supply curve shows an increasing trend and the power consumption curve shows a decreasing trend, and the maximum deviation value of the power supply curve and the power consumption curve at the same time continues to increase, the overlapping time of the current increasing power supply curve and the decreasing power consumption curve is marked as the distribution network detection period; if the power supply curve and the distribution curve are both non-decreasing trends, the time period when the corresponding curves are both non-decreasing trends is obtained, and the time period when the deviation value between the real-time power consumption and the real-time demand load in the power consumption curve increases in the corresponding time period is marked as the power consumption network detection period; Sending the power supply network detection period, the distribution network detection period, and the power consumption network detection period to the power supply network detection unit, the distribution network detection unit, and the power consumption network detection unit respectively; After receiving the power supply network detection period, the power supply network detection unit detects the power supply architecture in the power supply network during the power supply network detection period to determine whether the power supply architecture in the power supply network meets the current distribution network operation requirements, and ensures the supply efficiency of the current power supply architecture, so that the power supply network meets the requirements. As the basis of the power supply network, the stability of the supply can ensure the stability of the power supply network; The corresponding average power supply radius of the power supply end and the distribution end in the current distribution network coverage area during the power supply network detection period is obtained, and at the same time, the deviation distance between the maximum supply distance and the minimum supply distance in the power supply end and the distribution end under the current average power supply radius accounts for the amount of power loss and the amount of transmission at any time in the current working scenario. The corresponding average power supply radius of the power supply end and the distribution end in the current distribution network coverage area during the power supply network detection period, and the deviation distance between the maximum supply distance and the minimum supply distance in the power supply end and the distribution end under the current average power supply radius account for the amount of power loss and the amount of transmission at any time in the current working scenario are marked as power supply radius parameters and radius loss parameters, respectively, and compared with the average power supply radius threshold and the loss ratio threshold, respectively: the distribution end is represented as the distribution end and the power consumption end, that is, the power transfer equipment and the power consumption equipment; If the average power supply radius corresponding to the power supply end and the distribution end in the current distribution network coverage area exceeds the average power supply radius threshold during the power supply network detection period, it is determined that the location of the distributed power station in the power supply network needs to be adjusted, and a power station location network adjustment signal is generated and sent to the power supply network construction platform. After receiving the signal, the power supply network construction platform adjusts the distribution of the power consumption end in the real-time distribution network coverage area; If the deviation distance between the maximum supply distance and the minimum supply distance at the power supply end and the distribution end under the current average power supply radius exceeds the loss ratio threshold at any time in the current working scenario, it is determined that some supply lines of the distributed power station in the power supply network are too long, and a supply line network adjustment signal is generated and sent to the power supply network construction platform. After receiving the signal, the power supply network construction platform divides the long span lines of the power supply network power station into sections and flexibly connects the supply lines between the power stations after the sections. When necessary, different power stations are used for supply to reduce the supply loss of long span lines and increase the flexible supply efficiency of the supply network. If the average power supply radius corresponding to the power supply end and the distribution end in the current distribution network coverage area within the power supply network detection period does not exceed the average power supply radius threshold, and the deviation distance between the maximum supply distance and the minimum supply distance in the power supply end and the distribution end under the current average power supply radius does not exceed the loss ratio threshold at any time in the current working scenario, then the basic supply network in the power supply network is determined to be qualified, the basic supply network is generated to be qualified, and a basic supply network qualified signal is sent to the power supply network construction platform, where the basic supply network is represented by a supply network of facilities such as power stations and lines; After receiving the distribution network detection period, the distribution network detection unit detects the distribution network of the power supply network within the distribution network detection period, and determines whether the distribution network in the current area meets the actual demand by monitoring the distribution performance in the power supply network to ensure the eligibility of the power supply network, and reconstructs the distribution network when necessary to improve the operation efficiency of the entire distribution network; The increase in the frequency of voltage fluctuations at the access point in the area where the external location of the distributed power source is set in the power supply network during the distribution network detection period and the periodic overlap time increase of the distribution network distribution frequency required in the corresponding area are obtained, and at the same time, the corresponding time value ratio of the shortest interval duration of the distributed external power supply interruption frequency in the power supply network detected by the distribution network and the maximum duration of the increase in the distribution network distribution frequency is obtained, and the increase in the frequency of voltage fluctuations at the access point in the area where the external location of the distributed power source is set in the power supply network during the distribution network detection period and the periodic overlap time increase of the distribution network distribution frequency required in the corresponding area, and the corresponding time value ratio of the shortest interval duration of the distributed external power supply interruption frequency in the power supply network detected by the distribution network and the maximum duration of the increase in the distribution network distribution frequency are marked as distribution fluctuation impact data and distribution continuous impact data, and are compared with the periodic overlap time increase threshold and the time value ratio threshold, respectively: If the frequency of voltage fluctuations at the access point in the area where the external location of the distributed power source is set in the power supply network during the distribution network detection period and the increase in the periodic overlap time of the distribution frequency of the distribution network required in the corresponding area exceed the threshold value of the periodic overlap time increase, or the distribution network detects that the shortest interval duration of the supply interruption frequency of the distributed external power source in the power supply network within the transmission and the maximum duration of the increase in the distribution frequency of the distribution network do not exceed the threshold value of the time ratio, then the distribution network detection in the power supply network is determined to be abnormal, and a distribution network abnormality signal is generated and sent to the power supply network construction platform. After receiving the distribution network abnormality signal, the power supply network construction platform re-selects the location of the distributed access power source in the current supply network to construct an external distribution network to ensure the feasibility of the external distribution network. The technical solution in this part detects the compatibility of the external power source in the distribution network with the distribution network. The external power source is represented by a wind power generation source, a photovoltaic power generation source, etc. If the increase in the periodic overlap of the voltage fluctuation frequency at the access point in the area where the distributed power source external connection location is set in the power supply network during the distribution network detection period and the periodic overlap of the distribution frequency of the distribution network required in the corresponding area does not exceed the periodic overlap increase threshold, and the time value ratio of the shortest interval of the distributed external power supply interruption frequency in the power supply network detected by the distribution network to the maximum duration of the increase in the distribution frequency of the distribution network exceeds the time value ratio threshold, then it is determined that the distribution network detection in the power supply network is normal, and a normal distribution network signal is generated and sent to the power supply network construction platform; After receiving the power network detection period, the power network detection unit performs power network detection and analysis on the power network detection period. The power network is used to predict the power demand load in the distribution network coverage area, so as to facilitate advance scheduling of the power supply network to ensure the stability of the power supply network and avoid the supply efficiency of the power supply network being reduced due to the fluctuation of real-time power load, which cannot guarantee full adaptation to the demand load and cannot guarantee that the real-time supply performance fits the demand load; The frequency growth rate of the high-span floating of the power demand load in the distribution network coverage area during the set supply intermittent cycle of the distribution network within the power network detection period is obtained, and at the same time, the temporary supply peak value of the distribution network at any time when the power demand load in the distribution network coverage area is high-span floating is obtained, and the minimum value of the excess amount corresponding to the power demand load after the floating is obtained, wherein when the temporary supply cannot be met, the minimum value of the excess amount is zero, and the frequency growth rate of the high-span floating of the power demand load in the distribution network coverage area during the set supply intermittent cycle of the distribution network within the power network detection period, and the temporary supply peak value of the distribution network at any time when the power demand load in the distribution network coverage area is high-span floating The minimum value of the excess amount corresponding to the power demand load after the floating is marked as power consumption forecast deviation information and power consumption forecast impact information, and are compared with the floating frequency growth rate threshold and the minimum value threshold of the excess amount respectively: If the frequency growth rate of the high-span floating of the power demand load in the distribution network coverage area during the set supply intermittent cycle of the distribution network within the power network detection period exceeds the floating frequency growth rate threshold, or when the power demand load in the distribution network coverage area has a high-span floating, the temporary power supply peak of the distribution network at any time and the minimum excess value corresponding to the power demand load after the floating do not exceed the minimum excess value threshold, then the power network detection unit determines that the power network detection is unqualified, generates a power forecast abnormality signal and sends the power forecast abnormality signal to the power supply network construction platform. After receiving the power forecast abnormality signal, the power supply network construction platform reconstructs the power supply network in the distribution network coverage area, collects the operating time of high power load equipment in real time, collects the operating time in time during temporary operation and sends it to the distribution network server, collects the number of low power load equipment running synchronously at any time, updates the number in time when the data floats, and sends it to the distribution network server; If the frequency growth rate of the high-span floating of the power demand load in the distribution network coverage area during the set supply intermittent cycle of the distribution network within the power network detection period does not exceed the floating frequency growth rate threshold, and when the power demand load in the distribution network coverage area is floating with a high span, the minimum excess value of the temporary power supply peak at any time of the distribution network and the power demand load after the floating exceeds the minimum excess value threshold, then the power network detection unit determines that the power network detection is qualified, generates a normal power forecast signal, and sends the normal power forecast signal to the power supply network construction platform; A network reconstruction method for improving the power supply capacity of a distribution network, the specific method steps are as follows: Step 1: Power supply network performance evaluation: obtain the historical operation time period of the power supply network of the distribution network and select any length of the historical operation time period and reorganize it into a performance evaluation period, collect performance evaluation parameters, substitute them into the formula to obtain the power supply network performance evaluation coefficient of the distribution network, and judge whether the power supply network performance evaluation is qualified according to the coefficient comparison; Step 2: Network curve division and analysis: collect the power supply, distribution and consumption at each sub-time and construct the power supply curve, distribution curve and consumption curve; collect network delay time information and network deviation power information; judge whether the supply performance is inefficient based on information comparison; and divide the power supply network detection period, distribution network detection period and consumption network detection period according to the curve; Step 3: Power supply network detection, collecting power supply radius parameters and radius loss parameters during the power supply network detection period, making a basic supply network qualification determination based on parameter analysis, and reconstructing the network if it is unqualified; Step 4: Power distribution network detection, collecting power distribution fluctuation impact data and power distribution continuous impact data during the power distribution network detection period, making eligibility determination for the external power distribution network based on data analysis, and reconstructing the network if it is unqualified; Step 5: Power consumption network detection, obtain power consumption forecast deviation information and power consumption forecast impact information during the power consumption network detection period, determine whether the power consumption forecast is qualified based on information analysis, and reconstruct the power supply network.

[0025] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions; When the present invention is in use, the power supply network performance evaluation unit collects performance evaluation parameters, substitutes them into the formula to obtain the power supply network performance evaluation coefficient of the distribution network, and judges whether the power supply network performance evaluation is qualified according to the coefficient comparison; the network curve division and analysis unit collects the power supply, distribution and power consumption at each sub-time and constructs the power supply curve, distribution curve and power consumption curve, collects network delay time information and network deviation power information, judges whether the supply performance is inefficient according to the information comparison, and divides the power supply network detection period, distribution network detection period and power consumption network detection period according to the curve; the power supply network detection unit collects the power supply radius parameter and radius loss parameter in the power supply network detection period, judges the qualification of the basic supply network according to the parameter analysis, and reconstructs the network when it is unqualified; the distribution network detection unit collects the distribution fluctuation impact data and the distribution continuous impact data in the distribution network detection period, judges the qualification of the external distribution network according to the data analysis, and reconstructs the network when it is unqualified; the power consumption network detection unit obtains the power consumption prediction deviation information and the power consumption prediction impact information in the power consumption network detection period, judges whether the power consumption prediction is qualified according to the information analysis, and reconstructs the power supply network.

[0026] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A network reconstruction system for improving the power supply capacity of a distribution network, characterized in that: It includes a power supply network construction platform, which is connected to a power supply network performance evaluation unit, a power supply network detection unit, a distribution network detection unit and a power consumption network detection unit: The power supply network performance evaluation unit is used to obtain the historical operation time period of the power supply network of the distribution network, arbitrarily select a period of any length from the historical operation time period and reorganize it into a performance evaluation period, collect performance evaluation parameters, obtain the power supply network performance evaluation coefficient of the distribution network, and judge whether the power supply network performance evaluation is qualified according to the coefficient comparison; If the power supply network performance evaluation of the distribution network is qualified, a performance evaluation qualified signal is generated and sent to the power supply network construction platform, and a network curve division analysis signal is generated and sent to the network curve division analysis unit; If the power supply network performance evaluation of the distribution network fails, a performance evaluation failure signal is generated and sent to the power supply network construction platform; The network curve division and analysis unit is used to collect the power supply, distribution and consumption at each sub-time of the performance evaluation period and construct the power supply curve, distribution curve and consumption curve, collect network delay time information and network deviation power information, judge whether the supply performance is inefficient based on information comparison, send the corresponding signal to the power supply network construction platform, and divide the power supply network detection period, distribution network detection period and consumption network detection period according to the power supply curve, distribution curve and consumption curve respectively; The power supply network detection unit is used to collect power supply radius parameters and radius loss parameters during the power supply network detection period, make a basic supply network qualification judgment based on parameter analysis, and reconstruct the power supply network if it is unqualified; The power distribution network detection unit is used to collect power distribution fluctuation impact data and power distribution continuous impact data during the power distribution network detection period, make eligibility judgments on the external power distribution network based on data analysis, and reconstruct the power supply network if it is unqualified; The power consumption network detection unit is used to obtain the power consumption forecast deviation information and power consumption forecast impact information during the power consumption network detection period, determine whether the power consumption forecast is qualified based on information analysis, and reconstruct the power supply network.

2. A network reconstruction system for improving the power supply capacity of a distribution network according to claim 1, characterized in that: The performance evaluation parameters include the average supply time ratio of power users in the power supply network, the proportion of the cumulative operating time of the actual operating voltage of the power supply network within the allowable voltage value deviation range to the cumulative operating time of the power supply network during the distribution network performance evaluation period, the reduction span of the proportion of power users whose average power supply time ratio is within the qualified ratio deviation range during the non-intersection period of the actual operating time and the cumulative operating time of the power supply network, and the reduction span of the ratio of the real-time remaining storage capacity of the transformer supplied by the power supply network to the real-time supplied load during the reduction of the proportion of the power users within the qualified ratio deviation range.

3. A network reconstruction system for improving the power supply capacity of a distribution network according to claim 2, characterized in that: If the power supply network performance evaluation coefficient of the distribution network exceeds the power supply network performance evaluation coefficient threshold, the power supply network performance evaluation of the distribution network is judged to be qualified; if the power supply network performance evaluation coefficient of the distribution network does not exceed the power supply network performance evaluation coefficient threshold, the power supply network performance evaluation of the distribution network is judged to be unqualified.

4. A network reconstruction system for improving the power supply capacity of a distribution network according to claim 3, characterized in that: The network delay duration information and the network deviation power information are respectively the duration deviation of the starting points of the power supply curve and the distribution curve corresponding to the curve within the performance evaluation period, and the deviation ratio of the duration deviation of the distribution curve and the starting points of the power consumption curve, and the power value ratio quotient of the power value ratio of the power supply curve and the distribution curve at the same time point within the performance evaluation period, and the power value ratio quotient of the power value ratio of the distribution curve and the power consumption curve at the same time point; If the network delay duration information is not within the duration deviation ratio threshold range, or the network deviation power information is not within the power value ratio threshold range, then the supply performance of the power supply network during the performance evaluation period is determined to be inefficient; if the network delay duration information is within the duration deviation ratio threshold range, and the network deviation power information is within the power value ratio threshold range, then the supply performance of the power supply network during the performance evaluation period is determined to be efficient.

5. A network reconstruction system for improving the power supply capacity of a distribution network according to claim 4, characterized in that: The process of obtaining the power supply network detection period, the distribution network detection period, and the power consumption network detection period according to the power supply curve, the distribution curve, and the power consumption curve is as follows: When the power supply curve shows a decreasing trend and the distribution curve shows an increasing or constant trend, if the difference in the amount of electricity between the corresponding power supply curve and the distribution curve at the same time exceeds the set threshold, the overlapping time of the current decreasing power supply curve and the increasing or constant distribution curve is marked as the power supply network detection period; when the power supply curve shows an increasing trend and the power consumption curve shows a decreasing trend, and at the same time, the maximum deviation value of the electricity between the power supply curve and the power consumption curve at the same time continues to increase, the overlapping time of the current increasing power supply curve and the decreasing power consumption curve is marked as the distribution network detection period; If the power supply curve and the distribution curve show a non-decreasing trend at the same time, obtain the time period when the corresponding curves show a non-decreasing trend at the same time, and mark the time period when the deviation value between the real-time power consumption and the real-time demand load in the power consumption curve in the corresponding time period increases as the power network detection period.

6. A network reconstruction system for improving the power supply capacity of a distribution network according to claim 1, characterized in that: The power supply radius parameter and radius loss parameter are respectively the average power supply radius corresponding to the power supply end and the distribution end in the current distribution network coverage area during the power supply network detection period, and the deviation distance between the maximum supply distance and the minimum supply distance between the power supply end and the distribution end under the current average power supply radius, and the proportion of power loss and transmission volume at any time in the current working scenario; If the power supply radius parameter exceeds the average power supply radius threshold, a power station location network adjustment signal is generated; If the radius loss parameter exceeds the loss ratio threshold, a supply line network adjustment signal is generated; If the power supply radius parameter does not exceed the average power supply radius threshold, and the radius loss parameter does not exceed the loss ratio threshold, the generated basic supply network is qualified.

7. A network reconstruction system for improving the power supply capacity of a distribution network according to claim 1, characterized in that: The power distribution fluctuation impact data and the power distribution continuous impact data are respectively the increase in the frequency of voltage fluctuations at the access point in the area where the distributed power source is located in the power supply network during the distribution network detection period and the periodic overlap of the power distribution frequency required by the distribution network in the corresponding area, and the numerical ratio of the shortest interval of the distributed external power supply interruption frequency in the power supply network detected by the distribution network to the maximum duration of the increase in the distribution frequency of the distribution network; If the power distribution fluctuation impact data exceeds the cycle overlap duration increase threshold, or the power distribution continuous impact data does not exceed the duration value ratio threshold, a power distribution network abnormality signal is generated; If the power distribution fluctuation impact data does not exceed the cycle overlap duration increase threshold, and the power distribution continuous impact data exceeds the duration value ratio threshold, a normal distribution network signal is generated.

8. A network reconstruction system for improving the power supply capacity of a distribution network according to claim 1, characterized in that: The electricity consumption forecast deviation information and the electricity consumption forecast impact information are respectively the frequency growth rate of the high-span fluctuation of the power demand load in the distribution network coverage area during the distribution network set supply intermittent cycle within the power network detection period, and the minimum value of the excess amount corresponding to the temporary power supply peak of the distribution network at any time and the power demand load after the fluctuation when the power demand load in the distribution network coverage area fluctuates with a high span.

9. A network reconstruction system for improving the power supply capacity of a distribution network according to claim 8, characterized in that: If the electricity consumption forecast deviation information exceeds the floating frequency growth rate threshold, or the electricity consumption forecast impact information does not exceed the minimum numerical threshold of the excess amount, the electricity consumption network detection unit determines that the electricity consumption network detection is unqualified; if the electricity consumption forecast deviation information does not exceed the floating frequency growth rate threshold, and the electricity consumption forecast impact information exceeds the minimum numerical threshold of the excess amount, the electricity consumption network detection unit determines that the electricity consumption network detection is qualified.

10. A network reconstruction method for improving the power supply capacity of a distribution network, characterized in that: A network reconstruction system for improving the power supply capacity of a distribution network as described in any one of claims 1 to 9, the method comprising: Step 1: Power supply network performance evaluation: obtain the historical operation time period of the power supply network of the distribution network and select any length of the historical operation time period and reorganize it into a performance evaluation period, collect performance evaluation parameters, substitute them into the formula to obtain the power supply network performance evaluation coefficient of the distribution network, and judge whether the power supply network performance evaluation is qualified according to the coefficient comparison; Step 2: Network curve division and analysis: collect the power supply, distribution and consumption at each sub-time and construct the power supply curve, distribution curve and consumption curve; collect network delay time information and network deviation power information; judge whether the supply performance is inefficient based on information comparison; and divide the power supply network detection period, distribution network detection period and consumption network detection period according to the curve; Step 3: Power supply network detection, collecting power supply radius parameters and radius loss parameters during the power supply network detection period, making a basic supply network qualification determination based on parameter analysis, and reconstructing the network if it is unqualified; Step 4: Power distribution network detection, collecting power distribution fluctuation impact data and power distribution continuous impact data during the power distribution network detection period, making eligibility determination for the external power distribution network based on data analysis, and reconstructing the network if it is unqualified; Step 5: Power consumption network detection, obtain power consumption forecast deviation information and power consumption forecast impact information during the power consumption network detection period, determine whether the power consumption forecast is qualified based on information analysis, and reconstruct the power supply network.

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