Abstract

This paper presents an efficient approach for solving the optimal reactive power dispatch problem. It is a non-linear constrained optimization problem where two distinct objective functions are considered. The proposed approach is based on the hybridization of the particle swarm optimization method and the tabu-search technique. This hybrid approach is used to find control variable settings (i.e., generation bus voltages, transformer taps and shunt capacitor sizes) which minimize transmission active power losses and load bus voltage deviations. To validate the proposed hybrid method, the IEEE 30-bus system is considered for 12 and 19 control variables. The obtained results are compared with those obtained by particle swarm optimization and a tabu-search without hybridization and with other evolutionary algorithms reported in the literature.

Highlights

  • Power systems are complex networks (Figure 1) used for generating and transmitting electric power, which is expected to consume minimal resources while providing maximum security and reliability

  • The novelty of this paper is that an efficient hybrid particle swarm optimization (PSO) with the tabu search (PSO-TS) method is implemented to solve the Optimal reactive power dispatch (ORPD) problem with two distinct objective functions, namely, active power loss minimization and the sum of the load bus voltage deviations

  • The proposed PSO-TS based reactive power optimization approach was applied to an IEEE 30-bus power system (Figure 4)

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Summary

Introduction

Power systems are complex networks (Figure 1) used for generating and transmitting electric power, which is expected to consume minimal resources while providing maximum security and reliability. The objectives of ORPD in power systems are to minimize active power losses and to improve the voltage profile by minimizing the load bus voltage deviations while satisfying a given set of operating and physical constraints. PSO, in particular, has received increased attention from researchers because of its novelty and searching capability It was developed through simulation of a simplified social system and has been found to be robust in solving continuous non-linear optimization problems [1]. The novelty of this paper is that an efficient hybrid PSO with the tabu search (PSO-TS) method is implemented to solve the ORPD problem with two distinct objective functions, namely, active power loss minimization and the sum of the load bus voltage deviations. The following sections outline this problem by detailing the objective functions

Power Losses Minimization
Minimization of Voltage Deviation
Equality Constrains
Proposed Hybrid Algorithm
Particle Swarm Optimization
Tabu Search Method
Hybrid PSO-Tabu Search Approach Applied to ORPD
Application and Results
Case 1
Single-line
Voltage Deviation Minimization
2: IEEE with
Conclusions
PSO-TS2 algorithm
Full Text
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