Intermittency Mitigation in PV Generation with Hybrid Energy Storage System using Moving-Average Fuzzy Logic-Based Management

Authors

  • Everton Luiz Pagnoncelli Electrical and Computer Engineering Graduate Program (PPGEEC), Federal University of Technology – Parana (UTFPR)
  • Emerson Giovani Carati Electrical and Computer Engineering Graduate Program (PPGEEC), Federal University of Technology – Parana (UTFPR)
  • Rafael Cardoso Electrical and Computer Engineering Graduate Program (PPGEEC), Federal University of Technology – Parana (UTFPR)

Keywords:

Battery, Energy Management, Fuzzy logic, PV Smoothing, Supercapacitors

Abstract

This paper introduces an energy management system for a grid connected photovoltaic generation setup incorporating a hybrid energy storage system (HESS), composed of battery and supercapacitor banks. The main goal of the proposed approach is to reduce the irradiation intermittences effect. The management system includes a moving average dispatch control for the photovoltaic generation while a fuzzy logic-based algorithm effectively optimizes the charge/discharge of the supercapacitor and state of charge (SoC) of the batteries. The numerical results already demonstrate that the proposed hybrid energy storage system can reduce the intermittences by more than 95%, even with low rates of charge/discharge in the batteries.

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Published

2024-10-18

Issue

Section

Articles