Inderscience Publishers

OPF with FACTS devices in interconnected power systems using fuzzy stochastic algorithms

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This paper presents two new computationally efficient improved stochastic algorithms for solving optimal power flow (OPF) in interconnected power systems with FACTS devices. These algorithms are based on the combined application of fuzzy logic strategy incorporated in both evolutionary programming (EP) and tabu search (TS) algorithms, hence named as fuzzy mutated evolutionary programming (FMEP) and fuzzy guided tabu search (FGTS). The FACTS devices considered here include static var compensator (SVC), static synchronous compensator (STATCOM), thyristor controlled series capacitor (TCSC), and unified power flow controller (UPFC). The proposed methods are tested on single area IEEE 30-bus system and interconnected two area systems. The optimal solutions obtained using EP, TS, FMEP and FGTS are compared and analysed. The analysis reveals that the proposed algorithms are relatively simple, efficient and reliable.

Keywords: optimal power flow, OPF, flexible AC transmission systems, FACTS, fuzzy logic, interconnected power systems, evolutionary programming, tabu search, static var compensators, SVC, static synchronous compensators, STATCOM, thyristor controlled series capacitors, TCSC, unified power flow controllers, UPFC

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