A hybrid CPSO–SQP method for economic dispatch considering the valve-point effects

• Published in: Energy conversion and management Vol. 53; no. 1; pp. 175 - 181
• Main Authors: Cai, Jiejin, Li, Qiong, Li, Lixiang, Peng, Haipeng, Yang, Yixian
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 2012; Elsevier
• Subjects: Algorithms; Applied sciences; Chaotic particle swarm optimization; Computer simulation; Convergence; Direct power generation; Economic dispatch; Economics; Energy; Evolutionary algorithm; Exact sciences and technology; Mathematical models; Optimization; Power system; Quadratic programming; Sequential quadratic programming; Power system; Chaotic particle swarm optimization; Economic dispatch; Sequential quadratic programming; Evolutionary algorithm
• ISSN: 0196-8904; 1879-2227
• DOI: 10.1016/j.enconman.2011.08.023

► We proposed a hybrid CPSO–SQP method for solving the ED problems with valve effects. ► Based on the CPSO, we further used the SQP to improve the solution of ED problems. ► Applications in ED problems with 3, 13, 40 generators demonstrated its effectiveness. This paper developed a new method for solving the economic dispatch (ED) problems considering the valve-point effects in power systems. The method is based on a hybrid algorithm consisting of chaotic particle swarm optimization (CPSO) algorithm and sequential quadratic programming (SQP) techniques. The CPSO is the main optimizer of the algorithm and the SQP is used to fine tune its results to improve the solution. The proposed method was applied to three different cases of power systems. The economic effect, solution quality, convergence property and computation efficiency of the proposed method have been explored through the comparison with the existing techniques for the ED problems considering the valve-point effects. The simulation results demonstrate the applicability and effectiveness of the proposed algorithm to the practical ED problems.