Power distribution network operation method and device based on multi-element access

Abstract

The invention is suitable for the technical field of power systems, and provides a power distribution network operation method and device based on multi-element access, and the method comprises the steps: obtaining the access characteristics of each distributed energy source requesting to access a power distribution network, screening all distributed energy sources based on the access characteristics, and determining a plurality of distributed energy sources allowed to access the power distribution network; obtaining an initial topological structure and operation data of the power distribution network, and determining aging data of each distributed energy source in the power distribution network based on the initial topological structure and the operation data of the power distribution network; for each distributed energy source, determining an influence factor of the distributed energy source, and determining a fluctuation value of the distributed energy source based on the aging data; and determining unstable parameters of the power distribution network, and adjusting the initial topological structure of the power distribution network based on the unstable parameters. According to the method, instability caused by equipment aging of the distributed energy is considered, and the stability of the power distribution network is effectively improved by adjusting the distributed energy connected to the power distribution network.

Description

Technical Field

[0001] The present invention belongs to the technical field of power systems, and in particular relates to a distribution network operation method and device based on multi-element access. Background Art

[0002] With the continuous development of renewable energy and the further improvement of environmental protection requirements for power systems, the application scope of renewable energy such as wind energy, solar energy and geothermal energy is becoming more and more extensive.

[0003] However, when different types of distributed energy are connected to the distribution network, their power generation is unstable because these distributed energy sources are greatly affected by factors such as temperature, humidity, wind and light. The existing distribution network operation strategy cannot effectively consider the impact of distributed energy access to the distribution network. Therefore, when multiple distributed energy sources are connected to the grid, the safe and stable operation of the distribution network will be threatened. Summary of the invention

[0004] The embodiments of the present invention provide a distribution network operation method and device based on multi-element access to solve the problem that the safe and stable operation of the distribution network is threatened as different types of distributed energy are connected to the distribution network.

[0005] The present invention is achieved through the following technical solutions:

[0006] In a first aspect, an embodiment of the present invention provides a distribution network operation method based on multi-element access, including:

[0007] Obtaining access characteristics of each distributed energy source that requests access to the distribution network, and screening all distributed energy sources based on the access characteristics to determine a plurality of distributed energy sources that are allowed to access the distribution network;

[0008] Acquire an initial topological structure of the distribution network, collect operating data of the distribution network in real time, and determine aging data of each distributed energy source in the distribution network based on the initial topological structure of the distribution network and the operating data of the distribution network;

[0009] For each distributed energy source, determine the impact factor of the distributed energy source, and determine the fluctuation value of the distributed energy source based on the aging data.

[0010] The unstable parameters of the distribution network are determined based on all the influencing factors and the fluctuation values, and the initial topology structure of the distribution network is adjusted based on the unstable parameters.

[0011] In a possible implementation, obtaining access characteristics of each distributed energy source that requests access to the distribution network, screening all distributed energy sources based on the access characteristics, and determining a plurality of distributed energy sources that are allowed to access the distribution network includes:

[0012] Obtaining access characteristics of each distributed energy source requesting access to the distribution network;

[0013] For each DER, perform the following steps:

[0014] Determine the energy type, maximum power generation per unit time, minimum power generation per unit time and operation characteristics of the energy equipment of the distributed energy based on the access characteristics of the distributed energy;

[0015] Determining the access probability of the distributed energy source based on the energy type, the maximum power generation per unit time, the minimum power generation per unit time, and the operating characteristics of the energy device;

[0016] If the access probability exceeds the threshold, the distributed energy is allowed to access the distribution network.

[0017] In a possible implementation, determining the aging data of each distributed energy source in the distribution network based on the initial topology structure of the distribution network and the operation data of the distribution network includes:

[0018] Acquire the operation data of each node in the initial topological structure of the distribution network, and the adjacent relationship between every two nodes;

[0019] Extracting effective operation data of each distributed energy source and adjacent nodes of each distributed energy source from the operation data;

[0020] The aging data of each distributed energy source in the distribution network is determined based on the effective operation data and the neighbor relationship between every two nodes.

[0021] In a possible implementation, determining the aging data of each distributed energy source in the distribution network based on the effective operation data and the neighbor relationship between every two nodes includes:

[0022] For each DER, perform the following steps:

[0023] Based on the historical effective operation data between the distributed energy source and each node adjacent to the distributed energy source, data prediction is performed based on the historical effective operation data to obtain predicted effective data;

[0024] The predicted effective data is compared with the corresponding real-time effective data to obtain a data difference, and the aging data of the distributed energy is determined based on the data difference.

[0025] In a possible implementation, for each distributed energy source, determining the fluctuation value of the distributed energy source based on the aging data includes:

[0026] For each DER, perform the following steps:

[0027] Determining an initial fluctuation value of the distributed energy based on aging data of the distributed energy;

[0028] The initial fluctuation value is optimized based on aging data of multiple transmission lines connected to the distributed energy to obtain the fluctuation value of the distributed energy.

[0029] In a possible implementation, for each distributed energy source, determining the initial fluctuation value of the distributed energy source based on the aging data of the distributed energy source includes:

[0030] Inputting the aging data of the distributed energy into the initial fluctuation value calculation formula to calculate the initial fluctuation value of the distributed energy;

[0031] The calculation formula of the initial fluctuation value is:

[0032]

[0033] Among them, ΔE i is the initial fluctuation value of the i-th distributed energy source, θ i is the distortion rate of the voltage waveform output by the i-th distributed energy source, is the real-time external impact factor of the i-th distributed energy, τ i is the power generation efficiency of the ith distributed energy source, t i is the usage time of the i-th distributed energy, and ΔE(t) is the fluctuation impact curve caused by the different usage time of the i-th distributed energy.

[0034] In a possible implementation, determining the impact factor of each distributed energy source includes:

[0035] For each DER, perform the following steps:

[0036] Obtain the electric energy generated by the distributed energy per unit time, the total electric energy flowing to the distribution network from all distributed energy per unit time, and the electric energy flowing to the electricity user from the distributed energy per unit time;

[0037] The influence factor of the distributed energy is determined based on the generated electric energy, the total electric energy of all distributed energy sources flowing to the distribution network and the distribution, and the electric energy flowing to the electric user.

[0038] In a possible implementation, the determining of the unstable parameters of the distribution network based on all influencing factors and fluctuation values ​​includes:

[0039] Obtain the type of each distributed energy source, and determine data on the electric energy generated by the corresponding type of distributed energy source under different weather conditions based on historical operation data of each type of distributed energy source;

[0040] Determine the weight of the corresponding type of distributed energy under different weather conditions based on the data of electric energy generated by each type of distributed energy under different weather conditions;

[0041] The total impact factor of each type of distributed energy is obtained, and the instability parameter of the distribution network is determined based on the weight and the corresponding total impact factor.

[0042] In a possible implementation manner, adjusting the initial topology structure of the distribution network based on the unstable parameter includes:

[0043] If the instability parameter is less than the first threshold, determining the influence factor of each distributed energy source that is not allowed to access the distribution network, and controlling each distributed energy source that is not allowed to access the distribution network to access the distribution network in order of the influence factors from small to large, until the instability parameter is greater than the first threshold, and adjusting the initial topology structure of the distribution network based on the access structure to obtain a first topology structure of the distribution network;

[0044] If the unstable parameter is between the first threshold and the second threshold, controlling the distribution network to operate according to the initial topology structure;

[0045] If the instability parameter exceeds a second threshold, all distributed energy sources connected to the distribution network are controlled to be disconnected from the distribution network in order of influence factors from small to large until the instability parameter is less than the second threshold, and the initial topology structure of the distribution network is adjusted based on the disconnection result to obtain a second topology structure of the distribution network.

[0046] In a second aspect, an embodiment of the present invention provides a distribution network operation device based on multi-element access, including:

[0047] An access module, used to obtain access characteristics of each distributed energy source requesting access to the distribution network, and screen all distributed energy sources based on the access characteristics to determine multiple distributed energy sources allowed to access the distribution network;

[0048] A determination module, used to obtain an initial topological structure of the distribution network, collect operating data of the distribution network in real time, and determine aging data of each distributed energy source in the distribution network based on the initial topological structure of the distribution network and the operating data of the distribution network;

[0049] The determination module is further used to determine, for each distributed energy source, an impact factor of the distributed energy source, and determine a fluctuation value of the distributed energy source based on the aging data;

[0050] An adjustment module is used to determine the unstable parameters of the distribution network based on all influencing factors and fluctuation values, and to adjust the initial topology structure of the distribution network based on the unstable parameters.

[0051] The embodiment of the present invention provides a distribution network operation method and device based on multi-element access, which obtains the access characteristics of distributed energy, performs preliminary screening on all distributed energy, determines the distributed energy that is allowed to access, and determines the aging data of each distributed energy through the initial topological structure and operation data of the distribution network, further determines the fluctuation value based on the aging data, and determines the unstable parameters of the distribution network in combination with the influencing factors, and adjusts the initial topological structure of the distribution network according to the unstable parameters. Preliminary screening of all distributed energy sources ensures the stability of the distributed energy accessed to the distribution network, determines the aging data and fluctuation value through the initial topological structure and operation data, takes into account the impact of the aging of the distributed energy equipment, and adjusts the initial topological structure of the distribution network by determining the fluctuation value and determining the unstable parameters of the distribution network in combination with the influencing factors, and adjusts the distributed energy with smaller influencing factors, thereby ensuring the stability of the distribution network operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0053] Figure 1 It is a flow chart of a distribution network operation method based on multi-element access provided by an embodiment of the present invention;

[0054] Figure 2 It is a structural schematic diagram of a distribution network operation device based on multi-element access provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0055] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0056] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0057] It should also be understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0058] As used in the present specification and the appended claims, the term "if" may be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" may be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]", depending on the context.

[0059] In addition, in the description of the present specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0060] References to "one embodiment" or "some embodiments" etc. described in the present specification mean that one or more embodiments of the present invention include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0061] Figure 1 is a flow chart of a distribution network operation method based on multi-element access provided by an embodiment of the present invention, referring to Figure 1 , the distribution network operation method based on multi-element access is described in detail as follows:

[0062] First of all, it should be noted that the multiple elements in the name of this application refer to different types of distributed energy, such as distributed energy of wind power generation, distributed energy of photovoltaic power generation, and distributed energy of geothermal power generation.

[0063] S101, obtaining access characteristics of each distributed energy source requesting access to the distribution network, and screening all distributed energy sources based on the access characteristics to determine a plurality of distributed energy sources that are allowed to access the distribution network.

[0064] In this embodiment, the access characteristics include: energy type, energy impact range, energy impact factors, energy equipment version, energy equipment service life, energy equipment power generation stability, maximum power generation per unit time, and minimum power generation per unit time, etc.

[0065] Among them, the electricity generated by distributed energy that is not allowed to access the distribution network will be stored in energy storage devices independent of the distribution network, and used to power the distribution network in some emergency situations.

[0066] In an optional embodiment, obtaining access characteristics of each distributed energy source requesting access to the distribution network, and screening all distributed energy sources based on the access characteristics to determine multiple distributed energy sources allowed to access the distribution network, including:

[0067] Obtaining access characteristics of each distributed energy source requesting access to the distribution network;

[0068] For each DER, perform the following steps:

[0069] Determine the energy type, maximum power generation per unit time, minimum power generation per unit time and operation characteristics of the energy equipment of the distributed energy based on the access characteristics of the distributed energy;

[0070] Determine the access probability of the distributed energy based on the type of energy, the maximum power generation per unit time, the minimum power generation per unit time, and the operating characteristics of the energy equipment;

[0071] If the access probability exceeds the threshold, the distributed energy is allowed to access the distribution network.

[0072] Among them, the access characteristics can be obtained through the parameters of the distributed energy equipment itself and the analysis of the historical data of distributed energy.

[0073] In this embodiment, the access probability calculation formula is as follows:

[0074]

[0075] Among them, k i is the access probability of the i-th distributed energy source, E(i) max is the maximum power generation per unit time of the i-th distributed energy source, E(i) min is the minimum power generation per unit time of the ith distributed energy source, t iis the current service life of the i-th distributed energy equipment, T is the total service life of the i-th distributed energy equipment, B new is the total number of versions of the i-th distributed energy device, B now is the current version number of the device of the i-th distributed energy source.

[0076] Optionally, the access probabilities of different types of distributed energy sources correspond to different thresholds.

[0077] Preliminary screening of all distributed energy sources and determining the distributed energy sources that can be connected to the distribution network will help reduce the impact of distributed energy on the distribution network and improve the stability of distribution network operation.

[0078] S102, obtaining an initial topological structure of the distribution network, and collecting operating data of the distribution network in real time, and determining aging data of each distributed energy source in the distribution network based on the initial topological structure of the distribution network and the operating data of the distribution network.

[0079] Among them, the initial topological structure can be directly obtained, and the adjacent relationship between every two nodes can be obtained according to the initial topological structure.

[0080] In this embodiment, the operation data includes historical operation data and real-time operation data, specifically including the input power and output power of each node in the distribution network, load data of each node, voltage data, current data and power data, etc.

[0081] The aging data may include data such as the usage time of distributed energy, the power generation efficiency of distributed energy, the energy conversion loss of distributed energy, and the waveform distortion rate of the voltage output by distributed energy.

[0082] In an optional embodiment, determining aging data of each distributed energy source in the distribution network based on the initial topology of the distribution network and the operation data of the distribution network includes:

[0083] Obtaining the operating data of each node in the initial topological structure of the distribution network and the adjacent relationship between every two nodes;

[0084] Extracting effective operation data of each distributed energy source and adjacent nodes of each distributed energy source from the operation data;

[0085] The aging data of each distributed energy source in the distribution network is determined based on the effective operation data and the neighboring relationship between every two nodes.

[0086] In this embodiment, the nodes in the initial topology structure include transformers, distributed energy resources, and electricity users.

[0087] Effective operation data refers to the operation data related to distributed energy and adjacent nodes. For example, there are two distributed energy sources in distribution network A. Distributed energy 1 has two adjacent nodes a and b, and distributed energy 2 has one adjacent node c, and a, b, and c are different. Then the effective operation data includes the operation data of distributed energy 1, distributed energy 2 and nodes a, b, and c.

[0088] Among them, the neighbor relationship between nodes can be obtained through the initial topological structure.

[0089] In an optional embodiment, determining aging data of each distributed energy source in the distribution network based on effective operation data and a neighbor relationship between every two nodes includes:

[0090] For each DER, perform the following steps:

[0091] Based on the historical effective operation data between the distributed energy and each node adjacent to the distributed energy, data prediction is performed based on the historical effective operation data to obtain predicted effective data;

[0092] The predicted effective data is compared with the corresponding real-time effective data to obtain a data difference, and the aging data of the distributed energy is determined based on the data difference.

[0093] Among them, the historical effective operation data of each distributed energy is input into the neural network model for training to obtain a data prediction model, and then the temperature, humidity, light, wind power and other data are input into the data prediction model to obtain the predicted effective data of the distributed energy.

[0094] In this embodiment, the data difference refers to the difference between the value of each item in the predicted valid data and the value of the corresponding item in the real-time valid data.

[0095] In this embodiment, multiple data differences can be obtained by comparing the predicted effective data with the real-time effective data. The power generation efficiency and energy conversion data of the distributed energy can be obtained through the data differences. Here, the power generation is used as an example: for example, the predicted power generation of distributed energy 1 is e1, and the actual power generation is e1′, then the power generation efficiency of distributed energy 1 is For example, the predicted output power of distributed energy 1 is , and the actual output power is , then the loss of distributed energy in energy conversion is e2-e2′.

[0096] In existing solutions, the aging degree of distributed energy equipment is usually determined simply by the years of use. However, this solution obtains aging data such as the power generation efficiency and energy conversion loss of each distributed energy by summarizing and screening effective operating data from the operating data, and calculates the operating data and the initial topological structure, thereby ensuring the accuracy of the aging data.

[0097] S103, for each distributed energy source, determining an impact factor of the distributed energy source, and determining a fluctuation value of the distributed energy source based on aging data.

[0098] In this embodiment, the impact factor is used to indicate the importance of the distributed energy in the distribution network. The smaller the impact factor, the smaller the importance of the distributed energy in the distribution network.

[0099] Among them, the fluctuation value refers to the fluctuation value of the electric energy transmitted to the outside by distributed energy.

[0100] In an optional embodiment, for each distributed energy source, determining a fluctuation value of the distributed energy source based on aging data includes:

[0101] For each DER, perform the following steps:

[0102] Determining an initial fluctuation value of the distributed energy based on aging data of the distributed energy;

[0103] The initial fluctuation value is optimized based on the aging data of multiple transmission lines connected to the distributed energy, so as to obtain the fluctuation value of the distributed energy.

[0104] In an optional embodiment, for each distributed energy source, determining an initial fluctuation value of the distributed energy source based on aging data of the distributed energy source includes:

[0105] Inputting the aging data of the distributed energy into the initial fluctuation value calculation formula to calculate the initial fluctuation value of the distributed energy;

[0106] The calculation formula for the initial fluctuation value is:

[0107]

[0108] Among them, ΔE i is the initial fluctuation value of the i-th distributed energy source, θ i is the distortion rate of the voltage waveform output by the i-th distributed energy source, is the real-time external impact factor of the i-th distributed energy, τ i is the power generation efficiency of the ith distributed energy source, t i is the usage time of the i-th distributed energy, and ΔE(t) is the fluctuation impact curve caused by the different usage time of the i-th distributed energy.

[0109] In this solution, the fluctuation value refers to the fluctuation value of the total electric energy output by the distributed energy to other nodes. Since the aging of the transmission line will also cause fluctuations in electric energy during the output process, it is necessary to optimize the initial fluctuation value according to the aging data of the transmission line to obtain the final fluctuation value. If the difference in the aging data of different transmission lines is within a certain range, the average value is taken. If it is not within a certain range, the weights of different transmission lines are determined according to the total electric energy generated by the distributed energy per unit time.

[0110] By determining the initial fluctuation value and optimizing it according to the aging data of the transmission line, the final fluctuation value is obtained, thereby ensuring the accuracy of the fluctuation value.

[0111] In an optional embodiment, for each distributed energy source, determining the impact factor of the distributed energy source includes:

[0112] For each DER, perform the following steps:

[0113] Obtain the electric energy generated by the distributed energy per unit time, the total electric energy flowing to the distribution network from all distributed energy per unit time, and the electric energy flowing to the electricity user from the distributed energy per unit time;

[0114] The influence factor of the distributed energy is determined based on the generated electric energy, the total electric energy of all distributed energy flowing to the distribution network, and the distribution and electric energy flowing to the electricity users.

[0115] In this embodiment, the influence factor of distributed energy is determined by the generated electric energy, the total electric energy flowing from distributed energy to the distribution network, and the electric energy flowing from distributed energy to the electricity user. The formula for determining the influence factor is as follows:

[0116]

[0117] Among them, Y i is the impact factor of the i-th distributed energy, E i is the electric energy generated by the i-th distributed energy per unit time, E′ i is the electric energy flowing to the electricity user per unit time from the ith distributed energy source, E is the total electric energy flowing to the distribution network per unit time from all distributed energy sources in the distribution network, y′ is the number of electricity users directly supplied by the ith distributed energy source, and y is the total number of electricity users in the distribution network.

[0118] For each distributed energy source, the impact factor of the distributed energy source is determined by the electric energy generated by the distributed energy source, the electric energy flowing to the user, and the total electric energy flowing to the distribution network per unit time by all distributed energy sources in the distribution network, which can effectively obtain the importance of the distributed energy source to the entire distribution network.

[0119] S104, determining unstable parameters of the distribution network based on all influencing factors and fluctuation values, and adjusting the initial topology structure of the distribution network based on the unstable parameters.

[0120] Optionally, the instability parameter is used to determine the degree of fluctuation of the entire power distribution network.

[0121] By screening all distributed energy sources and determining the distributed energy sources connected to the distribution network according to the screening structure, and collecting the initial topological structure and operation data of the distribution network to determine the aging data of the distribution network, the fluctuation value of each distributed energy source is further determined, and the unstable parameters of the distribution network are determined in combination with the influencing factors. The distributed energy sources connected to the distribution network are readjusted to obtain the adjusted topological structure that can meet the normal operation of the distribution network. The distributed energy sources connected to the distribution network can be adjusted in time, and the impact of equipment aging is taken into account, effectively ensuring the stable operation of the distribution network.

[0122] In an optional embodiment, determining the unstable parameters of the distribution network based on all influencing factors and fluctuation values ​​includes:

[0123] Obtain the type of each distributed energy source, and determine data on the electric energy generated by the corresponding type of distributed energy source under different weather conditions based on historical operation data of each type of distributed energy source;

[0124] Determine the weight of the corresponding type of distributed energy under different weather conditions based on the data of the electric energy generated by each type of distributed energy under different weather conditions;

[0125] The total impact factor of each type of distributed energy is obtained, and the instability parameters of the distribution network are determined based on the weight and the corresponding total impact factor.

[0126] Among them, analyzing the historical operation data can obtain the total electricity generated by different types of distributed energy under different weather conditions.

[0127] According to the total electric energy generated by different types of distributed energy in each weather condition and the total electric energy generated by all distributed energy, the weight of this type of distributed energy in this weather condition can be obtained.

[0128] In this embodiment, the total impact factor of each type of distributed energy is obtained by adding the impact factors of all distributed energy sources of each type.

[0129] By multiplying and accumulating the influencing factors of each type under the corresponding weather conditions, weights and fluctuation values, the instability parameters of the distribution network can be obtained.

[0130] In an optional embodiment, adjusting the initial topology of the distribution network based on the unstable parameter includes:

[0131] If the instability parameter is less than the first threshold, determining the influence factor of each distributed energy source that is not allowed to access the distribution network, and controlling each distributed energy source that is not allowed to access the distribution network to access the distribution network in order of the influence factor from small to large, until the instability parameter is greater than the first threshold, and adjusting the initial topology structure of the distribution network based on the access structure to obtain a first topology structure of the distribution network;

[0132] If the unstable parameter is between the first threshold and the second threshold, the distribution network is controlled to operate according to the initial topology structure;

[0133] If the instability parameter exceeds the second threshold, all distributed energy sources connected to the distribution network are controlled to be disconnected from the distribution network in the order of influence factors from small to large until the instability parameter is less than the second threshold, and the initial topology structure of the distribution network is adjusted based on the disconnection result to obtain the second topology structure of the distribution network.

[0134] The first threshold and the second threshold are set manually, and the second threshold is greater than the first threshold.

[0135] The first topology structure refers to a topology structure obtained after connecting other distributed energy sources except the distributed energy sources allowed to connect to the distribution network in S101 to the distribution network.

[0136] The second topology structure refers to the topology structure obtained after removing a part of the existing distributed energy in the distribution network from the distribution network. The electric energy generated by the removed distributed energy during the period of removal will be stored in an energy storage device independent of the distribution network.

[0137] The following two examples will be used to describe the process of obtaining the first topology and the second topology:

[0138] Assume that the first threshold is x1, the second threshold is x2, and the current unstable parameter is x. There are 5 distributed energy sources f1, f2, f3, f4, and f5 in the distribution network, which are ranked from small to large in terms of impact factors as f2, f5, f3, f1, and f4. There are 3 distributed energy sources f6, f7, and f8 that are not allowed to be connected to the distribution network, which are ranked from small to large in terms of impact factors as f6, f8, and f7.

[0139] When x<x1, first connect f6 to the distribution network and recalculate the unstable parameters of the distribution network. If the unstable parameters of the distribution network are between x1 and x2 at this time, the first topological structure obtained contains 6 distributed energy sources, namely f1, f2, f3, f4, f5, and f6.

[0140] When x>x2, first disconnect f2 from the distribution network and recalculate the unstable parameters of the distribution network. If the unstable parameters of the distribution network are still greater than x2 at this time, disconnect f5 from the distribution network and recalculate the unstable parameters of the distribution network. If the unstable parameters of the distribution network are between x1 and x2 at this time, the second topological structure obtained contains 3 distributed energy sources, namely f1, f3, and f4.

[0141] Through the data of electricity generated by each type of distributed energy and the influence of weather, the instability parameters of the distribution network are determined, and two thresholds are determined. By determining the relationship between the instability parameters and the two thresholds, the distributed energy with smaller influencing factors in the distribution network can be appropriately increased or decreased, which can improve the stability of the distribution network while ensuring that the normal operation of the distribution network is not affected.

[0142] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0143] Corresponding to a distribution network operation method based on multi-element access in the above embodiment, Figure 2 A schematic structural diagram of a distribution network operation device based on multi-element access provided by an embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown.

[0144] See also Figure 2 , a distribution network operation device 2 based on multi-element access in an embodiment of the present invention may include:

[0145] An access module, used to obtain access characteristics of each distributed energy source requesting access to the distribution network, and screen all distributed energy sources based on the access characteristics to determine multiple distributed energy sources allowed to access the distribution network;

[0146] A determination module is used to obtain an initial topological structure of the distribution network, collect operating data of the distribution network in real time, and determine aging data of each distributed energy source in the distribution network based on the initial topological structure of the distribution network and the operating data of the distribution network;

[0147] The determination module is further used to determine, for each distributed energy source, an influencing factor of the distributed energy source, and determine a fluctuation value of the distributed energy source based on the aging data;

[0148] The adjustment module is used to determine the unstable parameters of the distribution network based on all influencing factors and fluctuation values, and adjust the initial topology structure of the distribution network based on the unstable parameters.

[0149] In some embodiments, the access module 21 is specifically configured to:

[0150] Obtaining access characteristics of each distributed energy source requesting access to the distribution network;

[0151] For each DER, perform the following steps:

[0152] Determine the energy type, maximum power generation per unit time, minimum power generation per unit time and operation characteristics of the energy equipment of the distributed energy based on the access characteristics of the distributed energy;

[0153] Determine the access probability of the distributed energy based on the type of energy, the maximum power generation per unit time, the minimum power generation per unit time, and the operating characteristics of the energy equipment;

[0154] If the access probability exceeds the threshold, the distributed energy is allowed to access the distribution network.

[0155] In some embodiments, the determination module 22 is specifically configured to:

[0156] Obtaining the operating data of each node in the initial topological structure of the distribution network and the adjacent relationship between every two nodes;

[0157] Extracting effective operation data of each distributed energy source and adjacent nodes of each distributed energy source from the operation data;

[0158] The aging data of each distributed energy source in the distribution network is determined based on the effective operation data and the neighboring relationship between every two nodes.

[0159] In some embodiments, the determination module 22 is further configured to:

[0160] For each DER, perform the following steps:

[0161] Based on the historical effective operation data between the distributed energy and each node adjacent to the distributed energy, data prediction is performed based on the historical effective operation data to obtain predicted effective data;

[0162] The predicted effective data is compared with the corresponding real-time effective data to obtain a data difference, and the aging data of the distributed energy is determined based on the data difference.

[0163] In some embodiments, the determination module 22 is further configured to:

[0164] For each DER, perform the following steps:

[0165] Determining an initial fluctuation value of the distributed energy based on aging data of the distributed energy;

[0166] The initial fluctuation value is optimized based on the aging data of multiple transmission lines connected to the distributed energy, so as to obtain the fluctuation value of the distributed energy.

[0167] In some embodiments, the determination module 22 is further configured to:

[0168] Inputting the aging data of the distributed energy into the initial fluctuation value calculation formula to calculate the initial fluctuation value of the distributed energy;

[0169] The calculation formula for the initial fluctuation value is:

[0170]

[0171] Among them, ΔE i is the initial fluctuation value of the i-th distributed energy source, θ i is the distortion rate of the voltage waveform output by the i-th distributed energy source, is the real-time external impact factor of the i-th distributed energy, τ i is the power generation efficiency of the ith distributed energy source, t i is the usage time of the i-th distributed energy, and ΔE(t) is the fluctuation impact curve caused by the different usage time of the i-th distributed energy.

[0172] In some embodiments, the determination module 22 is further configured to:

[0173] For each DER, perform the following steps:

[0174] Obtain the electric energy generated by the distributed energy per unit time, the total electric energy flowing to the distribution network from all distributed energy per unit time, and the electric energy flowing to the electricity user from the distributed energy per unit time;

[0175] The influence factor of the distributed energy is determined based on the generated electric energy, the total electric energy of all distributed energy flowing to the distribution network, and the distribution and electric energy flowing to the electricity users.

[0176] In some embodiments, the adjustment module 23 is specifically configured to:

[0177] Obtain the type of each distributed energy source, and determine data on the electric energy generated by the corresponding type of distributed energy source under different weather conditions based on historical operation data of each type of distributed energy source;

[0178] Determine the weight of the corresponding type of distributed energy under different weather conditions based on the data of the electric energy generated by each type of distributed energy under different weather conditions;

[0179] The total impact factor of each type of distributed energy is obtained, and the instability parameters of the distribution network are determined based on the weight and the corresponding total impact factor.

[0180] In some embodiments, the adjustment module 23 is further configured to:

[0181] If the instability parameter is less than the first threshold, determining the influence factor of each distributed energy source that is not allowed to access the distribution network, and controlling each distributed energy source that is not allowed to access the distribution network to access the distribution network in order of the influence factor from small to large, until the instability parameter is greater than the first threshold, and adjusting the initial topology structure of the distribution network based on the access structure to obtain a first topology structure of the distribution network;

[0182] If the unstable parameter is between the first threshold and the second threshold, the distribution network is controlled to operate according to the initial topology structure;

[0183] If the instability parameter exceeds the second threshold, all distributed energy sources connected to the distribution network are controlled to be disconnected from the distribution network in the order of influence factors from small to large until the instability parameter is less than the second threshold, and the initial topology structure of the distribution network is adjusted based on the disconnection result to obtain the second topology structure of the distribution network.

[0184] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0185] Those of ordinary skill in the art will appreciate that the templates, units, and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0186] If the module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps of each of the above-mentioned embodiments of the distribution network operation method based on multi-element access. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier signal, telecommunication signal and software distribution medium.

[0187] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A distribution network operation method based on multi-element access, characterized in that: include: Obtaining access characteristics of each distributed energy source that requests access to the distribution network, and screening all distributed energy sources based on the access characteristics to determine a plurality of distributed energy sources that are allowed to access the distribution network; Acquire an initial topological structure of the distribution network, collect operating data of the distribution network in real time, and determine aging data of each distributed energy source in the distribution network based on the initial topological structure of the distribution network and the operating data of the distribution network; For each distributed energy source, determining an impact factor of the distributed energy source, and determining a fluctuation value of the distributed energy source based on the aging data; The unstable parameters of the distribution network are determined based on all the influencing factors and the fluctuation values, and the initial topology structure of the distribution network is adjusted based on the unstable parameters.

2. A distribution network operation method based on multi-element access as claimed in claim 1, characterized in that: The obtaining access characteristics of each distributed energy source that requests access to the distribution network, and screening all distributed energy sources based on the access characteristics to determine a plurality of distributed energy sources that are allowed to access the distribution network, includes: Obtaining access characteristics of each distributed energy source requesting access to the distribution network; For each DER, perform the following steps: Determine the energy type, maximum power generation per unit time, minimum power generation per unit time and operation characteristics of the energy equipment of the distributed energy based on the access characteristics of the distributed energy; Determining the access probability of the distributed energy source based on the energy type, the maximum power generation per unit time, the minimum power generation per unit time, and the operating characteristics of the energy device; If the access probability exceeds the threshold, the distributed energy is allowed to access the distribution network.

3. A distribution network operation method based on multi-element access as claimed in claim 2, characterized in that: The determining of aging data of each distributed energy source in the distribution network based on the initial topological structure of the distribution network and the operation data of the distribution network includes: Acquire the operation data of each node in the initial topological structure of the distribution network, and the adjacent relationship between every two nodes; Extracting effective operation data of each distributed energy source and adjacent nodes of each distributed energy source from the operation data; The aging data of each distributed energy source in the distribution network is determined based on the effective operation data and the neighbor relationship between every two nodes.

4. A distribution network operation method based on multi-element access as claimed in claim 1, characterized in that: The determining the aging data of each distributed energy source in the distribution network based on the effective operation data and the adjacent relationship between every two nodes includes: For each DER, perform the following steps: Based on the historical effective operation data between the distributed energy source and each node adjacent to the distributed energy source, data prediction is performed based on the historical effective operation data to obtain predicted effective data; The predicted effective data is compared with the corresponding real-time effective data to obtain a data difference, and the aging data of the distributed energy is determined based on the data difference.

5. A distribution network operation method based on multi-element access as claimed in claim 1, characterized in that: The step of determining, for each distributed energy source, a fluctuation value of the distributed energy source based on the aging data includes: For each DER, perform the following steps: Determining an initial fluctuation value of the distributed energy based on aging data of the distributed energy; The initial fluctuation value is optimized based on aging data of multiple transmission lines connected to the distributed energy to obtain the fluctuation value of the distributed energy.

6. A distribution network operation method based on multi-element access as claimed in claim 5, characterized in that: The step of determining, for each distributed energy source, an initial fluctuation value of the distributed energy source based on aging data of the distributed energy source comprises: Inputting the aging data of the distributed energy into the initial fluctuation value calculation formula to calculate the initial fluctuation value of the distributed energy; The calculation formula of the initial fluctuation value is: Among them, ΔE i is the initial fluctuation value of the i-th distributed energy source, θ i is the distortion rate of the voltage waveform output by the i-th distributed energy source, is the real-time external impact factor of the i-th distributed energy, τ i is the power generation efficiency of the ith distributed energy source, t i is the usage time of the i-th distributed energy, and ΔE(t) is the fluctuation impact curve caused by the different usage time of the i-th distributed energy.

7. A distribution network operation method based on multi-element access as claimed in claim 1, characterized in that: The step of determining the influencing factor of each distributed energy source includes: For each DER, perform the following steps: Obtain the electric energy generated by the distributed energy per unit time, the total electric energy flowing to the distribution network from all distributed energy per unit time, and the electric energy flowing to the electricity user from the distributed energy per unit time; The influence factor of the distributed energy is determined based on the generated electric energy, the total electric energy of all distributed energy sources flowing to the distribution network and the distribution, and the electric energy flowing to the electric user.

8. A distribution network operation method based on multi-element access as claimed in claim 1, characterized in that: The determining of the unstable parameters of the distribution network based on all influencing factors and fluctuation values ​​includes: Obtain the type of each distributed energy source, and determine data on the electric energy generated by the corresponding type of distributed energy source under different weather conditions based on historical operation data of each type of distributed energy source; Determine the weight of the corresponding type of distributed energy under different weather conditions based on the data of electric energy generated by each type of distributed energy under different weather conditions; The total impact factor of each type of distributed energy is obtained, and the instability parameter of the distribution network is determined based on the weight and the corresponding total impact factor.

9. A distribution network operation method based on multi-element access as claimed in claim 1, characterized in that: The adjusting the initial topology structure of the distribution network based on the unstable parameter includes: If the instability parameter is less than the first threshold, determining the influence factor of each distributed energy source that is not allowed to access the distribution network, and controlling each distributed energy source that is not allowed to access the distribution network to access the distribution network in order of the influence factors from small to large, until the instability parameter is greater than the first threshold, and adjusting the initial topology structure of the distribution network based on the access structure to obtain a first topology structure of the distribution network; If the unstable parameter is between the first threshold and the second threshold, controlling the distribution network to operate according to the initial topology structure; If the instability parameter exceeds a second threshold, all distributed energy sources connected to the distribution network are controlled to be disconnected from the distribution network in order of influence factors from small to large until the instability parameter is less than the second threshold, and the initial topology structure of the distribution network is adjusted based on the disconnection result to obtain a second topology structure of the distribution network.

10. A distribution network operation device based on multi-element access, characterized in that: include: An access module, used to obtain access characteristics of each distributed energy source requesting access to the distribution network, and screen all distributed energy sources based on the access characteristics to determine multiple distributed energy sources allowed to access the distribution network; A determination module, used to obtain an initial topological structure of the distribution network, collect operating data of the distribution network in real time, and determine aging data of each distributed energy source in the distribution network based on the initial topological structure of the distribution network and the operating data of the distribution network; The determination module is further used to determine, for each distributed energy source, an impact factor of the distributed energy source, and determine a fluctuation value of the distributed energy source based on the aging data; An adjustment module is used to determine the unstable parameters of the distribution network based on all influencing factors and fluctuation values, and to adjust the initial topology structure of the distribution network based on the unstable parameters.

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