Keywords: FACTS, optimal power flow, optimal placement, genetic algorithm, simulated annealing, tabu search, hybrid approach
Multi-objective optimal placement with multi-type FACTS devices by hybrid TS/SA approach
In this paper, a hybrid Tabu Search and Simulated Annealing (TS/SA) approach is proposed to find the optimal placement of multi-type FACTS devices to simultaneously minimise the total generator fuel cost and violation function. The problem is decomposed into the Multi-Objective Optimal Placement (MOOP) of multi-type FACTS devices subproblem that is searched by the hybrid TS/SA approach and the Multi-Objective Optimal Power Flow (MOOPF) with multi-type FACTS devices subproblem that is also solved by the earlier hybrid TS/SA approach and Quadratic Programming (QP). Four types of FACTS devices are used: Thyristor-Controlled Series Capacitor (TCSC), Thyristor-Controlled Phase Shifter (TCPS), Unified Power Flow Controller (UPFC), and Static Var Compensator (SVC). The solution includes optimal locations of multi-type of FACTS devices. Test results on the modified IEEE 30 bus indicate that the proposed hybrid TS/SA approach obtains less combined total generator fuel cost and violation function and requires less computing time than Genetic Algorithm (GA), SA, or TS alone. Furthermore, the maximum load factor of the MOOPF with multi-type FACTS devices placed by hybrid TS/SA on the modified IEEE 30-, 57-, and 118-bus systems is higher than those placed by the sensitivity method.