Pinnacle Engineering & Technology

(ISSN: 2360-9516)

December 2013, Vol. 1 (1).

© Author(s) 2013. This work is distributed under the Creative Commons Attribution 3.0 License.

Research Article


Restarted Simulated Annealing Particle Swarm Optimization Algorithm For Solving Optimal Reactive Power Dispatch Problem

K. Lenin1, Dr.B.Ravindranath Reddy2 &  Dr.M.Surya Kalavathi3

1Research Scholar,
Assistant Professor,
Sree Sastha College of Engineering.

2Deputy Executive Engineer,
Jawaharlal Nehru Technological University, Kukatpally,
Hyderabad 500 085, India.

3Professor of Electrical and Electronics Engineering
Jawaharlal Nehru Technological University, Kukatpally,
Hyderabad 500 085, India.

Accepted 18 December, 2013; Available Online 27 December, 2013


This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in a power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer setting are taken as the optimization variables. Evolutionary algorithm and Swarm Intelligence algorithm (EA, SI), a part of Bio inspired optimization algorithm, have been widely used to solve numerous optimization problem in various science and engineering domains. Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm that shares many similarities with evolutionary computation techniques. However, the PSO is driven by the simulation of a social psychological metaphor motivated by collective behaviours of bird and other social organisms instead of the survival of the fittest individualIn this paper we proposed a hybrid restarted simulated annealing particle swarm optimization (RSAPSO) technique to find global minima more efficiently and robustly. The proposed RSAPSO combines the global search ability of PSO and the local search ability of RSA, and offsets the weaknesses of each other. In order to evaluate the proposed algorithm, it has been tested on IEEE 30 bus system and compared to other algorithms reported those before in literature. Results show that (RSAPSO) is more efficient than others for solution of single-objective ORPD problem.

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