JOURNAL ARTICLE

Evolutionary-programming-based algorithm for environmentally-constrained economic dispatch

Kit Po WangJ. Yuryevich

Year: 1998 Journal:   IEEE Transactions on Power Systems Vol: 13 (2)Pages: 301-306   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This paper develops an efficient and reliable evolutionary-programming-based algorithm for solving the environmentally constrained economic dispatch (ECED) problem. The algorithm can deal with load demand specifications in multiple intervals of the generation scheduling horizon. In the paper, the principal components of the evolutionary-programming-based ECED algorithm are presented. Solution acceleration techniques in the algorithm which enhance the speed and robustness of the algorithm are developed. The power and usefulness of the algorithm is demonstrated through its application to a test system.

Keywords:
Economic dispatch Evolutionary programming Mathematical optimization Robustness (evolution) Evolutionary algorithm Computer science Electric power system Algorithm design Algorithm Power (physics) Mathematics

Metrics

235
Cited By
5.76
FWCI (Field Weighted Citation Impact)
13
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Electric Power System Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Optimal Power Flow Distribution
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Energy Load and Power Forecasting
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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