Title: Multi-objective Optimal Placement with Multi-type Facts Devices by Hybrid Ts/sa Approach

Abstract

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… (More)

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