A hybrid FCASO-SQP method for solving the economic dispatch problems with valve-point effects

Jiejin Cai, Qiong Li, Lixiang Li, Haipeng Peng and Yixian Yang

Energy, 2012, vol. 38, issue 1, 346-353

Abstract: In this paper, a hybrid method integrating the fuzzy adaptive chaotic ant swarm optimization (FCASO) algorithm and the sequential quadratic programming (SQP) techniques, named FCASO-SQP method, is presented for solving the economic dispatch (ED) problems in power systems. The FCASO algorithm is the main optimizer in the hybrid method and the SQP technique is used to fine tune its results to improve the solution. The FCASO algorithm introduces a fuzzy system to dynamically tune the characteristic parameters ψd and ri of chaotic ant swarm optimization (CASO). The proposed method was applied to three different cases of power systems with three units, thirteen units and forty units, and the simulation results demonstrate its applicability and effectiveness to solve the ED problems with valve-point effect.

Keywords: Economic dispatch; Fuzzy adaptive chaotic ant swarm optimization; Sequential quadratic programming; Evolutionary algorithm; Power system (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:38:y:2012:i:1:p:346-353

DOI: 10.1016/j.energy.2011.11.052

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