Research on Reactive Power Optimization of Distribution Network with Distributed Generation Based on Improved Genetic Algorithm
Xiaomeng Wu, Xiaoxiao Li, Mengyi Jing, Yingying Luo · 2023
In order to effectively reduce the active power loss of the distribution network and ensure the safety and economy of the distribution network operation. The traditional genetic algorithm is easy to fall into ‘precocity’, weak local search ability, many iterations and long time consuming. An improved genetic algorithm is proposed, and an improved genetic operator is designed, which makes the algorithm greatly improved in convergence and iteration times, and gives full play to the advantages of genetic algorithm in global fast search. Based on the improved genetic algorithm, this paper studies the distribution network with distributed power supply, and verifies the IEEE33 node. The distribution network’s network loss and node voltage are effectively improved by the improved genetic algorithm. The outcomes demonstrate the algorithm’s excellence and applicability.