Multi-Objective Zonal Reactive Power Market Clearing Model for Improving Voltage Stability in Electricity Markets Using HFMOEA
作者： Ashish Saini , Amit Saraswat
DOI: 10.1007/978-3-642-30157-5_70
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摘要: This paper presents a development of new multi-objective zonal reactive power market clearing (ZRPMC-VS) model for improving voltage stability system. In proposed ZRPMC-VS model, two objective functions such as total payment function (TPF) rective support from generators and syncronus condensers enhancement index (VSEI) are optimized symultanously by satisfying various system constraints using hybrid fuzzy evolutionary algorithm (HFMOEA). The results obtained HFMOEA comapared with well known NSGA-II solution technique. analysis helps the independent operators (ISO) to take better decisions in competetive environment.
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