Low-voltage distribution network topology identification method based on unilateral optimization and genetic algorithm cooperation
A low-voltage distribution network and genetic algorithm technology, which is applied in the field of distribution network topology identification, can solve the problems of cumbersome work, long time, and inability to automatically update and identify, so as to improve efficiency, save money, and improve discrimination accuracy. Effect
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[0046] The technical solutions of the present invention will be described in detail below with reference to the accompanying drawings, but the protection scope of the present invention is not limited to the embodiments.
[0047] 1. The low-voltage distribution network topology identification process based on the cooperation of unilateral optimization algorithm and genetic algorithm
[0048] The present invention takes the station area data collected by the actual operating system as a sample, builds a station area model that conforms to the nature of the low-voltage distribution station area, based on Kirchhoff's law, and according to the voltage, current, and active power of the low-voltage station area under normal conditions , reactive power and other electrical quantities, comprehensively use artificial neural network algorithms, unilateral optimization algorithms, genetic algorithms and other artificial intelligence optimization reasoning algorithms to search for the optim...
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