Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/119594
Title: MULTI-OBJECTIVE POWER SYSTEM SCHEDULING USING EVOLUTIONARY ALGORITHMS
Authors: ANUPAM TRIVEDI
Keywords: Unit commitment, scheduling, power systems, evolutionary algorithms, multi-objective optimization, emission
Issue Date: 23-Jan-2015
Citation: ANUPAM TRIVEDI (2015-01-23). MULTI-OBJECTIVE POWER SYSTEM SCHEDULING USING EVOLUTIONARY ALGORITHMS. ScholarBank@NUS Repository.
Abstract: THE DAY-AHEAD UNIT COMMITMENT (UC) PROBLEM IS A NONLINEAR, HIGH DIMENSIONAL, HIGHLY CONSTRAINED, MIXED-INTEGER NP-HARD POWER SYSTEM SCHEDULING PROBLEM AND IS USUALLY SOLVED IN THE LITERATURE CONSIDERING SYSTEM OPERATION COST AS THE SINGLE (ECONOMIC) OBJECTIVE. HOWEVER, THE SYSTEM OPERATORS WOULD PREFER TO OBTAIN THE TRADE-OFF OPTIMAL SOLUTIONS CONSIDERING EMISSION AND RELIABILITY AS THE CONFLICTING OBJECTIVES ALONG WITH SYSTEM OPERATION COST FOR BETTER DECISION MAKING. THE PRIMARY OBJECTIVE OF THE THESIS IS TO CONSIDER EMISSION AND RELIABILITY AS OBJECTIVES ALONG WITH SYSTEM OPERATION COST AND SOLVE THE UC PROBLEM AS A MULTI-OBJECTIVE OPTIMIZATION PROBLEM USING EVOLUTIONARY ALGORITHMS (EAS).
URI: http://scholarbank.nus.edu.sg/handle/10635/119594
Appears in Collections:Ph.D Theses (Open)

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