Application of Improved Ant Colony Optimization on Economical Operation of Automatic Generation Control Units in Hydropower Station-Reference-Cited by-同舟云学术

Application of Improved Ant Colony Optimization on Economical Operation of Automatic Generation Control Units in Hydropower Station

Published:2013-12 Issue: Volume:860-863 Page:2101-2106
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Li Yi Fan¹,Wang Ke Guan¹,Gong Chuan Li¹

Affiliation:

1. China Institute of Water Resources and Hydropower Research

Abstract

This paper proposed an improved ant colony optimization(ACO), to solve the economical operating dispatch of automatic generation control(AGC) units in hydropower station. The improved ant colony algorithm PSO-ACO imported particle swarm optimization is put forward. Both of the global convergence performance and the effectiveness of this algorithm is improved by using self-adaptive parameters and importing PSO to optimize the current ant paths. The mathematical description and procedure of the PSO-ACO are given with the maximum plant generating efficiency model as an example. Finally the superiority of the PSO-ACO is demonstrated by the application of AGC units on right bank of Three Gorges hydropower station. The optimal solution is more accurate and the calculation speed is higher than other methods.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.860-863.2101.pdf

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