Hybrid SOA–SQP algorithm for dynamic economic dispatch with valve-point effects

This paper proposes a hybrid technique combining a new heuristic algorithm named seeker optimization algorithm (SOA) and sequential quadratic programming (SQP) method for solving dynamic economic dispatch problem with valve-point effects. The SOA is based on the concept of simulating the act of huma...

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Vydané v:	Energy (Oxford) Ročník 35; číslo 12; s. 5031 - 5036
Hlavní autori:	Sivasubramani, S., Swarup, K.S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Kidlington Elsevier Ltd 01.12.2010 Elsevier
Predmet:	Algorithms Applied sciences Computer simulation Dynamic economic dispatch Dynamics Economic data Economics Electric energy Energy Energy economics Exact sciences and technology Fuzzy Fuzzy logic General, economic and professional studies Methodology. Modelling Optimization Quadratic programming Searching Seeker optimization algorithm Sequential quadratic programming Valve-point effects Valve-point effects Sequential quadratic programming Dynamic economic dispatch Seeker optimization algorithm Performance evaluation Cost minimization Optimal strategy Methodology Simulation Heuristic method Economic optimization Production capacity Electric power production Quadratic programming Algorithm Constrained optimization
ISSN:	0360-5442
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Abstract	This paper proposes a hybrid technique combining a new heuristic algorithm named seeker optimization algorithm (SOA) and sequential quadratic programming (SQP) method for solving dynamic economic dispatch problem with valve-point effects. The SOA is based on the concept of simulating the act of human searching, where the search direction is based on the empirical gradient (EG) by evaluating the response to the position changes and the step length is based on uncertainty reasoning by using a simple fuzzy rule. In this paper, SOA is used as a base level search, which can give a good direction to the optimal global region and SQP as a local search to fine tune the solution obtained from SOA. Thus SQP guides SOA to find optimal or near optimal solution in the complex search space. Two test systems i.e., 5 unit with losses and 10 unit without losses, have been taken to validate the efficiency of the proposed hybrid method. Simulation results clearly show that the proposed method outperforms the existing method in terms of solution quality.
AbstractList	This paper proposes a hybrid technique combining a new heuristic algorithm named seeker optimization algorithm (SOA) and sequential quadratic programming (SQP) method for solving dynamic economic dispatch problem with valve-point effects. The SOA is based on the concept of simulating the act of human searching, where the search direction is based on the empirical gradient (EG) by evaluating the response to the position changes and the step length is based on uncertainty reasoning by using a simple fuzzy rule. In this paper, SOA is used as a base level search, which can give a good direction to the optimal global region and SQP as a local search to fine tune the solution obtained from SOA. Thus SQP guides SOA to find optimal or near optimal solution in the complex search space. Two test systems i.e., 5 unit with losses and 10 unit without losses, have been taken to validate the efficiency of the proposed hybrid method. Simulation results clearly show that the proposed method outperforms the existing method in terms of solution quality.
Author	Sivasubramani, S. Swarup, K.S.
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Keywords	Valve-point effects Sequential quadratic programming Dynamic economic dispatch Seeker optimization algorithm Performance evaluation Cost minimization Optimal strategy Methodology Simulation Heuristic method Economic optimization Production capacity Electric power production Quadratic programming Algorithm Constrained optimization
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SubjectTerms	Algorithms Applied sciences Computer simulation Dynamic economic dispatch Dynamics Economic data Economics Electric energy Energy Energy economics Exact sciences and technology Fuzzy Fuzzy logic General, economic and professional studies Methodology. Modelling Optimization Quadratic programming Searching Seeker optimization algorithm Sequential quadratic programming Valve-point effects
Title	Hybrid SOA–SQP algorithm for dynamic economic dispatch with valve-point effects
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