Energy management and power quality improvement of microgrid system through modified water wave optimization

A comparative study of energy management strategies and PQ improvement schemes for a Fuel Cell, Battery, and SuperCapacitor integrated Microgrid system has been projected utilizing the MAT-LAB/Simulink architecture in this research article. For effective energy management and PQ en-hancement, a Modified Water Wave Optimization algorithm based on adaptive population size and adaptive wavelength coefficient has been proposed. The MWWO method robustly and dynamically tunes the parameters of the Proportional Integral controller for effective operation. The efficiency of the proposed technique has been compared with the traditional methods regarding hydrogen consumption, load power deliberation, power quality and overall system efficiency. The results obtained and the numerical analysis confers the superiority of the suggested technique over other methods for enhanced dynamic voltage response, low fuel consumption, reduced harmonics and better efficacy thereby proving its real-time employment.& COPY; 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Automated summary

This research article compares the energy management strategies and power quality improvement schemes for a Fuel Cell, Battery, and SuperCapacitor integrated Microgrid system using the MAT-LAB/Simulink architecture. A Modified Water Wave Optimization algorithm based on adaptive population size and adaptive wavelength coefficient is proposed for effective energy management and power quality enhancement. The proposed technique outperforms traditional methods in terms of hydrogen consumption, load power deliberation, power quality, and overall system efficiency, as demonstrated by the results and numerical analysis.