Multi-Objective Optimal Operation of Large Scale Power System Based on Fuzzy Coordination Technique

Abstract

This paper presents an approach to obtain the optimal generation dispatch in real power system operation by solving a multi-objective optimization problem. In deciding the optimal system operation, various objectives, such as economy, quality and environmental impact, should simultaneously be attained. However, these objectives are contradictory to each other and are in trade-off relations, thus making it difficult to handle this class of problem. In the recent study, we were proposed the algorithm to treat the multi-objective optimal dispatch problems using the fuzzy coordination technique.
In the foregoing approach, however, optimization is successively conducted by nonlinear programming and the computation time is extensively increases as the size of the target power system is expanded. Thus, for the practical application of this approach to a real-scale system, we need to resort to a high-speed approximation for the reduction of computation time and storage requirement.
In this study, we propose the approach decomposed into static dispatch and dynamical adjustment so that we can apply it to a relatively large scale system. In this approach we can obtain an optimal solution by satisfying some predetermined optimality conditions, thus enabling rapid convergence and application to a real-scale system.
The effectiveness of the proposed approach is verified through numerical analysis on the test system approximating the system of Kansai Electric Power Company.