Neural Network Computing for the Electric Power Industry

H. Scheduling and Optimization

A Solution Method for Maintenance Scheduling of Thermal Units by Artificial Neural Networks

H.Sasaki Y. Takiuchi J. Kubokawa

Dept. of Electrical Engineering Hiroshima University

Higashi - Hiroshima, 724, Japan

1. INTRODUCTION

Thermal units in power systems must legally undergo maintenance works once a year to prevent their deterioration. Since the capacities of thermal units are large and the maintenance work takes a long time, the maintenance scheduling greatly affects the reliability and economy of power systems. In determining maintenance scheduling, reliability should have priority over economy. In general, this problem has been formulated as a 0–1 integer programming problem. Major solution methods proposed ...