Abstract

This study addresses a shuffled frog leaping algorithm for solving the multi-objective reactive power dispatch problem in a power system. Optimal Reactive Power Dispatch (ORPD) is formulated as a nonlinear, multi-modal and mixed-variable problem. The intended technique is based on the minimization of the real power loss, minimization of voltage deviation and maximization of the voltage stability margin. Generator voltages, capacitor banks and tap positions of tap changing transformers are used as optimization variables of this problem. A memetic meta-heuristic named as shuffled frog-leaping algorithm is intended to solve multi-objective optimal reactive power dispatch problems considering voltage stability margin and voltage deviation. The Shuffled Frog-Leaping Algorithm (SFLA) is a population-based cooperative search metaphor inspired by natural memetics. The algorithm contains elements of local search and global information exchange. The most important benefit of this algorithm is higher speed of convergence to a better solution. The intended method is applied to ORPD problem on IEEE 57 bus power systems and compared with two versions of differential evolutionary algorithm. The simulation results show the effectiveness of the intended method.

Highlights

  • In the present scenario, the load density of the system has increased abnormally and due to which the quality of power has decreased

  • The Reactive Power Optimization (RPO) and voltage control are the essential topic of research

  • The load bus voltages can be maintained within the permissible limits by reallocating reactive power generation in the system which is achieved by adjusting the transformer taps, generator voltages and capacitor banks

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Summary

Introduction

The load density of the system has increased abnormally and due to which the quality of power has decreased. The quality of power lacks due to the shortage of reactive power during the peak load periods which results in the reduction of overall voltage level. The Reactive Power Optimization (RPO) and voltage control are the essential topic of research. The reactive power and voltage control improve the economy and security of the power system. The load bus voltages can be maintained within the permissible limits by reallocating reactive power generation in the system which is achieved by adjusting the transformer taps, generator voltages and capacitor banks. The RPO problem deals with the minimization of the real power loss and improvement of the voltage profile of the system. RPO is a complicated, non-linear programming problem with non-linear objective functions, nonlinear equality and inequality constraints

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