An Evolutionary Particle Swarm Optimization for Multi-objective Optimal Reactive Power Planning Considering Voltage Stability, Voltage Deviation and Investment Cost of TCSC

Nowadays, the ability of determining of voltage stability prior to voltage collapse has become an important issue and several studies have been conducted in this area, due to its importance and complexity. The objective of this study is to propose an enhanced particle swarm optimization algorithm to solve the multi-objective Optimal Reactive Power Planning (ORPP) problem using Thyristor Controlled Series Compensator (TCSC). Moreover, this paper proposes a new approach for ORPP where technical and economic issues of power system, namely voltage stability, voltage deviation and investment cost of TCSCs are taken into account. In the proposed optimization algorithm, a mutation technique adapted from Differential Evolution (DE) algorithm is aggregated to PSO (Particle Swarm Optimization) algorithm in order to propel the swarm search in possible space much more effectively, moreover enable PSO to jump out of the local optimum. The Fast Voltage Stability Index (FVSI) is brought up to identify the stressed lines which will receive the FACTS devices (TCSC). The efficiency of proposed approach is validated on modified IEEE 30 bus standard test system. Eventually simulation results of proposed algorithm are compared with other general algorithm used in the area including PSO, DE and GA in order to show the efficiency and superiority of proposed algorithm

کلیدواژه ها:

Optimal Reactive Power Planning ، TCSC ، Voltage Stability ، Evolutionary PSO