Hydro Generation Scheduling Using Refined Genetic Algorithm
This paper presents a novel solution algorithm based on a refined genetic algorithm for solving the hydro generation scheduling problem. In this work, complete solution algorithms and encoding/decoding techniques are proposed for solving different types of hydro plants involving hydraulically independent plants, hydraulically coupled plants, and pump-storage plants. In the proposed approach, the hydraulically coupled plants which are located on the same river are solved concurrently as a multi-plant scheduling problem rather than as several single-plant scheduling problems in sequence. The difficult water balance constraints caused by hydraulic coupling are embedded and satisfied throughout the proposed encoding and decoding algorithm. The proposed approach is applied with great success to the actual Taipower system, which consists of two hydraulically independent plants, three hydraulically coupled plants, four pump-storage plants, and 34 thermal units.
Hydro generation scheduling Refined genetic algorithm Hydraulically independent plants Hydraulically coupled plants Pump-storage.
Po-Hung Chen Cheng-Chien Kuo Hsin-Fu Lee Cheng-Chuan Chen
St. John’s University, Taipei, 25135, Taiwan
国际会议
三亚
英文
289-292
2012-01-06（万方平台首次上网日期，不代表论文的发表时间）