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Reactive energy scheduling using bi-objective programming with modified particle swarm optimization

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  • Kuo, Cheng-Chien

Abstract

Interactive Bi-objective with Valuable Trade-off programming, together with a modified particle swarm optimization for the daily scheduling of switched capacitors is presented. The two main contradictory concerns of line loss reduction and minimum number of switching operations are considered for realistic request. Both the operating and load constraints for distribution feeders are formulated for practical operation. The proposed approach can provide a set of flexible and valuable trade-off solutions as dictated by decision makers of electric utilities. Quantitative measures can also be provided to aid the decision-making process. To demonstrate the effectiveness and feasibility of the proposed approach, comparative studies were systematically conducted on an actual feeder. The experiment showed encouraging results suggesting that the proposed approach was capable of efficiently determining better quality solutions.

Suggested Citation

  • Kuo, Cheng-Chien, 2009. "Reactive energy scheduling using bi-objective programming with modified particle swarm optimization," Energy, Elsevier, vol. 34(6), pages 804-815.
    • Handle: RePEc:eee:energy:v:34:y:2009:i:6:p:804-815
    DOI: 10.1016/j.energy.2009.03.002
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    References listed on IDEAS

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    Cited by:

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    2. Lin, Q.G. & Huang, G.H., 2010. "An inexact two-stage stochastic energy systems planning model for managing greenhouse gas emission at a municipal level," Energy, Elsevier, vol. 35(5), pages 2270-2280.
    3. Narang, Nitin & Dhillon, J.S. & Kothari, D.P., 2012. "Multiobjective fixed head hydrothermal scheduling using integrated predator-prey optimization and Powell search method," Energy, Elsevier, vol. 47(1), pages 237-252.

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