A Modified Droop Controller for Micro-Grid Power Quality Improvement Using Artificial Fish Swarm Algorithm (AFSA)

• Abdulwahab J. Yusuf

  Department of Electrical & Computer Engineering; Ahmadu Bello University, Zaria, Nigeria

• A. A. Olaniyan

  Department of Electrical/Electronic Engineering Technology; Auchi Polytechnic, Auchi, Nigeria

This paper presents a modiï¬ed droop controller for improving the power quality of micro-grid using Artiï¬cial Fish Swarm Algorithm (AFSA). This is necessary in order to reduce the frequency and voltage deviations that occur when the micro-grid changes from grid-connected to an autonomous mode or when the load changes. AFSA was used to optimally select and tune the droop controller gain parameters in order to achieve an improved response in the frequency and voltage outputs of the micro-grid in the course of islanding. The performance of the AFSA-based droop controller was compared with that of the genetic algorithm (GA) based droop controller using the values of frequency and voltage deviations as performance metrics. And from the results obtained, it was observed that the result obtained from the micro-grid when AFSA was used to optimize the droop controller outperforms that obtained when GA was used in terms of frequency and voltage by 0.213% and 1.0453% respectively. All modeling and analysis were implemented in MATLAB 2015b.

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