An Adaptive Optimization Method for Decentralized Configuration of Reactive Compensation at Low-voltage Side of Distribution Network Based on Heuristic Algorithm
For the low-voltage side of distribution network,the optimization of reactive compensation is mainly solved by the stochastic parallel gradient descent algorithm,but it is easy to fall into the local optimum,resulting in high network losses in the substation area after the optimized reactive compensation scheme is implemented.Therefore,the optimization method com-bined with heuristic algorithm is proposed.The static voltage stability analysis is carried out by the power flow multi-solution method and the reactive balance strategy at the low-voltage side of distribution network is defined.The adaptive optimization model of reactive compensation decentralized configuration is constructed with the goal of minimizing the network loss in the substation area.The heuristic algorithm with sensitivity as the core and the pseudo parallel particle swarm optimization algo-rithm are used to carry out two-stage adaptive optimization and generate the optimal reactive compensation decentralized config-uration scheme.The compensation scheme is further updated by combining the compensation capacity demand and the maxi-mum capacity constraint of a single compensation device.The experimental results show that after the application of the pro-posed method,the network loss at the low-voltage side in the substation area is only 12.01 kW,which is significantly lower than that before optimization.
heuristic algorithmdistribution networklow voltage sidereactive compensationdecentralized configuration
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维普
