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A Tabu Search Based Hybrid Optimization Approach for a Fuzzy Modelled Unit Commitment Problem by T. Aruldoss Albert Victoire; A. Ebenezer Jeyakumar is a Engineering article available to read on EtoBox.

What is A Tabu Search Based Hybrid Optimization Approach for a Fuzzy Modelled Unit Commitment Problem about?

This article presents a solution model for the unit commitment problem (UCP) using fuzzy logic to address uncertainties in the problem. Hybrid tabu search (TS), particle swarm optimization (PSO) and sequential quadratic programming (SQP) technique (hybrid TS-PSO-SQP) is used to schedule the generating units based on the fuzzy logic decisions. The fitness function for the hybrid TS-PSO-SQP is formulated by combining the objective function of UCP and a penalty calculated from the fuzzy logic decisions. Fuzzy decisions are made based on the statistics of the load demand error and spinning reserve maintained at each hour. TS are used to solve the combinatorial sub-problem of the UCP. An improved random perturbation scheme and a simple method for generating initial feasible commitment schedule are proposed for the TS method. The non-linear programming sub-problem of the UCP is solved using the hybrid PSO-SQP technique. Simulation results on a practical Neyveli Thermal Power Station system (NTPS) in India and several example systems validate, the presented UCP model is reasonable by ensuring quality solution with sufficient level of spinning reserve throughout the scheduling horizon for

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Author

T. Aruldoss Albert Victoire; A. Ebenezer Jeyakumar

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0378-7796)

Published

2006

Language

EN

Field

Engineering (Physical Sciences)