DocumentCode :
1592452
Title :
Hydro Generation Scheduling Using Refined Genetic Algorithm
Author :
Chen, Po-hung ; Kuo, Cheng-Chien ; Lee, Hsin-Fu ; Chen, Cheng-Chuan
Author_Institution :
St. John´´s Univ., Taipei, Taiwan
fYear :
2012
Firstpage :
289
Lastpage :
292
Abstract :
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.
Keywords :
decoding; encoding; genetic algorithms; hydrothermal power systems; power generation scheduling; pumped-storage power stations; Taipower system; encoding-decoding techniques; hydraulic coupling; hydraulically-coupled plants; hydraulically-independent plants; hydro plants; hydrogeneration scheduling; multiplant scheduling problem; pump-storage plants; refined genetic algorithm; single-plant scheduling problems; thermal units; water balance constraints; Biological cells; Decoding; Encoding; Genetic algorithms; Hip; Reservoirs; Hydraulically coupled plants; Hydraulically independent plants; Hydro generation scheduling; Pump-storage; Refined genetic algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
Type :
conf
DOI :
10.1109/ISdea.2012.535
Filename :
6173205
Link To Document :
بازگشت