Automatic optimization algorithm of county power network based on load balancing and feasible set

• Published in: 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) pp. 1159 - 1162
• Main Authors: Yixiao Geng, Jiuzhou Bian, Huawei Jin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2017
• Subjects: Encoding; feasible set; Gears; genetic algorithm; Genetic algorithms; load imbalance; Optimization; Power supplies; Substations; Switches; the county power network
• DOI: 10.1109/IAEAC.2017.8054195

Aiming at the problem of slow convergence rate of the traditional genetic algorithm and the oneness property of the fitness function. In this paper, we combine the structural property of county power network with genetic algorithm, and propose a new automatic optimization scheme for the county power network operation mode for the purpose of load balancing. By analyzing the structure of a substation, the classification is accomplished according to the main electrical wiring during the coding process, meanwhile, infeasible operation modes are eliminated, and then feasible operation mode is taken as the optimization variable. Finally, the construction scheme of the minimum load balance index of the optimal solution is adopted as the optimal solution. The example shows that the proposed algorithm not only can effectively reduce search spaces, but also with the decrease of the load balance index, the load imbalance is obviously improved, and the network loss is reduced correspondingly.