Outage planning method for electrical power facilities using MOGA

Abstract

A new outage planning method using a Multiobjective Genetic Algorithm (MOGA) is proposed for electric power facilities. Generally, outage planning is intensively performed in spring and autumn during which the power demand is lower. However, electric power companies are increasingly installing facilities because of increased power demand and the complexity of the power system. Therefore outage planning must be carried out with greater efficiency. Outage planning is typically instigated by an expert in power system operation, and time and labor is required to generate a plan that considers operation constraints since this is a large combinatorial problem. Hence, this paper develops a new smart automated outage planning method. The method proposed in this paper using MOGA can generate outage plans efficiently and can reduce the experts' burdens. Furthermore, the proposed method can consider trade-off relations, such as that between costs and CO2 emissions, and optimize them. To confirm the validity of the proposed method, simulations were conducted using the IEEJ EAST 10-machine-O/V system model.