Multi-Objective Reactive Power Market Clearing using HFMOEA in Day-Ahead Competitive Electricity Markets
نویسندگان
چکیده
In this paper, a new reactive power market clearing (RPMC) mechanism for day-ahead competitive electricity market is developed based on multi-objective optimization approach. In proposed mechanism, three objective functions such as total payment function (TPF) for reactive power support from generators and synchronous condensers, total real transmission loss (TRTL) and voltage stability enhancement index (VSEI) are optimized simultaneously while satisfying various system equality and inequality constraints. The proposed multi-objective RPMC problem is solved using a hybrid fuzzy multi-objective evolutionary algorithm (HFMOEA) and its performance is compared with NSGA-II on standard IEEE 24 bus reliability test system. The results obtained from multi-objective RPMC mechanism are also compared with the results obtained in real coded genetic algorithm (RCGA) based single-objective RPMC mechanisms to prove its effectiveness. Keywords-Reactive power market clearing, competitive electricity market, multi-objective optimization, Pareto-optimal front, HFMOEA, NSGA-II.
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Multi-Zone Day-Ahead Reactive Power Market Settlement Model: A Localized/Zonal Management
• Amit Saraswat, Ashish Saini and Ajay Kumar Saxena, “A Novel Multi-Zone Reactive Power Market Settlement Model: A Pareto-Optimization Approach”, Energy, Elsevier. Available Online at: http://dx.doi.org/10.1016/j.energy.2012.12.009 (In Press) • Ashish Saini and Amit Saraswat, “Multi-Objective Day-Ahead Localized Reactive Power Market Clearing Model using HFMOEA”, Int. J. of Electrical Power & E...
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