Low-voltage transformer area topology identification method based on constrained multi-objective optimization

Abstract

The invention discloses a low-voltage transformer area topology identification method based on constrained multi-objective optimization. The method comprises the following steps: preprocessing electric quantity data; performing initial topological feasibility calculation to obtain a next-level topological structure set of the transformer area general table; constructing a constraint and multi-objective function model; forming an initial population according to the initial topological feasibility; and optimizing the multi-objective function by using a genetic algorithm to obtain the topological structure of the low-voltage transformer area. According to the invention, the constraint and multi-objective function model is constructed according to the electricity conservation relation of the low-voltage transformer area and the incremental relation of the line loss, the genetic algorithm is used for optimization, the optimal solution is analyzed to obtain the topological relation of the transformer area, and topology identification is carried out through a software method. And the accuracy and adaptability of topology identification of the low-voltage transformer area are improved on the basis that the hardware cost is not increased.

Description

technical field [0001] The invention relates to the technical field of power grid topology identification, in particular to a low-voltage station area topology identification method based on constrained multi-objective optimization. Background technique [0002] With the progress of intelligent construction in the low-voltage station area, node equipment such as the distribution transformer side, branch box side, and meter box side of the station area are equipped with intelligent metering and communication functions to meet the collection of data items such as voltage, current, and electricity at each node. and transmission. At present, there are mainly three methods to realize the topology identification of the electrical network in the distribution station area: first, using the current low-voltage line power line carrier communication technology (including narrowband power line carrier or broadband power line carrier), through the transmission form of the carrier communi...

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Problems solved by technology

At present, there are mainly three methods to realize the topology identification of the electrical network in the distribution station area: first, using the current low-voltage line power line carrier communication technology (including narrowband power line carrier or broadband power line carrier), through the transmission form of the carrier communication relay node The communication topology network formed by this method is simple and easy to implement without increasing equipment and cost. However, since the carrier communication topology is realized through the carrier communication relay nodes, it cannot accurately reflect the real topology of the station area, and the carrier communication is affected by The impact of power loads leads to changeable and complex topological structures, which cannot accurately support the in-depth application of power services; secondly, a hardware transmitting circuit is added to the traditional carrier module to inject relatively high-power power frequency signals, and the outgoing line and The power frequency signal is injected into the branch node, and the recognition of the station area topology is realized by obtaining the power frequency signal. The advantage of this method is that it has high accuracy, but the carrier module needs to be added or replaced on site, which involves manual point selection, installation and testing. and other work will increase hardware and labor costs, and at this stage due to the uncertainty of the characteristics of the power frequency signal, the interconnection effect between modules is poor. On the other hand, the injected power frequency signal will bring harmonic harm to the power grid, increasing Potential safety hazards of the power grid; thirdly, use the power consumption information of distribution station users collected by the power consumption information collection system, and use the voltage data similarity or correlation analysis method to automatically analyze the power supply and electrical equipment in the station area without increasing hardware costs The advantage of this method is that it does not need to increase investment, and the method is novel, but the accuracy of topology identification needs to be improved, and the adaptability to heavy loads of lines or the special distribution of line voltage with distributed power access is poor.

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