A new hybrid approach for the solution of nonconvex economic dispatch problem with valve-point effects

被引:55
作者
Malik, Tahir Nadeem [2 ]
ul Asar, Azzam [3 ]
Wyne, Mudasser F. [1 ]
Akhtar, Shakil [4 ]
机构
[1] Natl Univ, Sch Engn & Technol, San Diego, CA 92123 USA
[2] Univ Engn & Technol, Dept Elect Engn, Taxila, Pakistan
[3] Univ Engn & Technol, Dept Elect Engn, Peshawar, Nwfp, Pakistan
[4] Clayton State Univ, Dept Informat Technol, Morrow, GA 30062 USA
关键词
Genetic algorithm; Economic dispatch; Nonconvex cost function; Local search; Global solution; Valve-point effect; Optimal power flow; PARTICLE SWARM OPTIMIZATION; GENETIC ALGORITHM;
D O I
10.1016/j.epsr.2010.03.004
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Economic dispatch (ED) generally formulated as convex problem using optimization techniques by approximating generator input/output characteristic curves of monotonically increasing nature results in an inaccurate dispatch. The genetic algorithm has previously been used for the solution of problem for economic dispatch but takes longer time to converge to near optimal results. The hybrid approach is one of the methodologies used to fine tune the near optimal results produced by GA. This paper proposes new hybrid approach to solve the ED problem by using the valve-point effect. The approach we propose combines the genetic algorithm (GA) with active power optimization (APO) based on the Newton's second order approach (NSO). The genetic algorithm acts as a global optimizer giving near optimal generation schedule, which becomes the input for generation buses in APO algorithm. This algorithm acting as local search technique dispatching the generated active power of units for minimization of cost and gives optimum generation schedule. Three machines 6-bus, IEEE 5-machines 14-bus, and IEEE 6-mchines 30-bus systems have been tested for validation of our approach. Results of the proposed scheme compared with results obtained from GA alone give significant improvements in the generation cost showing the promise of the proposed approach. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:1128 / 1136
页数:9
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