Short-term hydropower station scheduling under deregulated environment based on improved evolutionary programming

Shuai Li; Chuanwen Jiang

doi:10.1109/ICCIAS.2006.294129

Short-term hydropower station scheduling under deregulated environment based on improved evolutionary programming

Shuai Li, Chuanwen Jiang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

This paper proposes an efficient algorithm for short-term hydropower plant scheduling based on improved evolutionary programming (IEP). The water balance constraints, reservoir volume constraints, total water discharge constraints and the power constraints are taken into consideration. In common algorithm, the offspring is generated by adding a Gaussian random variable to the parent. In the improved evolutionary programming, a new chaotic mutation technique is used to generate the offspring. Numerical examples show that the improved evolutionary programming has quick convergence property and the desirable optimal solution can be fast and easily obtained through the proposed algorithm.

Original language	English
Title of host publication	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Pages	242-247
Number of pages	6
Volume	1
DOIs	https://doi.org/10.1109/ICCIAS.2006.294129
Publication status	Published - 1 Dec 2007
Externally published	Yes
Event	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006 - Guangzhou, China Duration: 3 Oct 2006 → 6 Oct 2006

Conference

Conference	2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Country/Territory	China
City	Guangzhou
Period	3/10/06 → 6/10/06

ASJC Scopus subject areas

General Computer Science
Control and Systems Engineering

More information

10.1109/ICCIAS.2006.294129

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title = "Short-term hydropower station scheduling under deregulated environment based on improved evolutionary programming",

abstract = "This paper proposes an efficient algorithm for short-term hydropower plant scheduling based on improved evolutionary programming (IEP). The water balance constraints, reservoir volume constraints, total water discharge constraints and the power constraints are taken into consideration. In common algorithm, the offspring is generated by adding a Gaussian random variable to the parent. In the improved evolutionary programming, a new chaotic mutation technique is used to generate the offspring. Numerical examples show that the improved evolutionary programming has quick convergence property and the desirable optimal solution can be fast and easily obtained through the proposed algorithm.",

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doi = "10.1109/ICCIAS.2006.294129",

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Li, S & Jiang, C 2007, Short-term hydropower station scheduling under deregulated environment based on improved evolutionary programming. in 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006. vol. 1, 4072082, pp. 242-247, 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006, Guangzhou, China, 3/10/06. https://doi.org/10.1109/ICCIAS.2006.294129

Short-term hydropower station scheduling under deregulated environment based on improved evolutionary programming. / Li, Shuai; Jiang, Chuanwen.
2006 International Conference on Computational Intelligence and Security, ICCIAS 2006. Vol. 1 2007. p. 242-247 4072082.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Short-term hydropower station scheduling under deregulated environment based on improved evolutionary programming

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