Optimal multiobjective planning of dynamic series compensation devices for power quality improvement

Abstract

An optimisation algorithm using tabu search is presented for optimal planning of series compensation devices for power quality improvement in distribution systems. The proposed algorithm is posed for optimal placement of two types of devices, named the series voltage restorer and the fault current limiter. A multiobjective problem is formulated to optimise a composite set of fuzzy performance indices comprising the cost expenditure of installed series compensation devices, voltage boosts across sensitive loads and overall voltage improvement. To ensure robustness, distribution networks are reinforced for preselected internal fault, external fault and simultaneous disturbances. Five case studies are presented to demonstrate the properties of the proposed algorithm.