Title :
KW Scheduling in an Autonomous System
Author :
Hong, Ying-Yi ; Chiu, Ching-Sheng ; Li, Chang-Ting
Author_Institution :
Dept. of Electr. Eng., Chung Yuan Univ., Chungli
Abstract :
The distributed generations have several advantages such as reducing the required transmission capacity, real power loss, and the traditional generation expansion, etc. An autonomous system is an independent system that may include diesel generators, wind park, solar photovoltaic (PV) module and/or batteries, etc. This paper presents a new method for dealing with the short-term kW scheduling of an autonomous system. The fuel cost of diesel units is minimized and all operation constrains are satisfied. The genetic algorithm is used to solve this problem. The penalty function and encoded independent variables are discussed. Simulation results based on an autonomous system show the applicability of the proposed method.
Keywords :
distributed power generation; genetic algorithms; power generation economics; power generation scheduling; autonomous system; diesel generators; diesel wind park; distributed generations; genetic algorithm; short-term scheduling; solar photovoltaic module; transmission capacity; Batteries; Costs; Distributed control; Distributed power generation; Fuels; Photovoltaic systems; Power generation; Propagation losses; Solar power generation; Wind energy generation; autonomous system; distributed generation; generation scheduling; genetic algorithms;
Conference_Titel :
Power Tech, 2007 IEEE Lausanne
Conference_Location :
Lausanne
Print_ISBN :
978-1-4244-2189-3
Electronic_ISBN :
978-1-4244-2190-9
DOI :
10.1109/PCT.2007.4538577
