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Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
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Optimal battery sizing in photovoltaic based distributed generation using enhanced opposition-based firefly algorithm

Ling Ai Wong1, Hussain Shareef1, Azah Mohamed1

  • 1Faculty of Electrical Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia.

Thescientificworldjournal
|July 24, 2014
PubMed
Summary

This study introduces an enhanced firefly algorithm to optimize battery energy storage systems (BESS) for photovoltaic power. The method effectively mitigates voltage rise issues in distribution networks.

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Area of Science:

  • Electrical Engineering
  • Renewable Energy Systems
  • Optimization Algorithms

Background:

  • Voltage rise is a significant challenge in radial distribution networks with high photovoltaic (PV) generation.
  • Battery Energy Storage Systems (BESS) offer a solution for grid stability and voltage regulation.
  • Existing optimization algorithms may not be sufficient for precise BESS sizing.

Purpose of the Study:

  • To apply an enhanced opposition-based firefly algorithm (EOFA) for optimal BESS sizing.
  • To mitigate voltage rise problems in PV-integrated radial distribution networks.
  • To improve the efficiency and effectiveness of BESS integration.

Main Methods:

  • Enhancement of the firefly algorithm using opposition-based learning and inertia weight.
  • Evaluation of the enhanced algorithm (EOFA) on fifteen benchmark functions.
  • Two-stage optimization for hourly battery output power and BESS capacity, considering state-of-charge constraints.

Main Results:

  • The proposed EOFA effectively determines optimal BESS size and operational strategy.
  • EOFA demonstrated superior performance in mitigating voltage rise compared to conventional firefly and gravitational search algorithms.
  • Validation on a 69-bus distribution system confirmed the algorithm's practical applicability.

Conclusions:

  • The enhanced opposition-based firefly algorithm (EOFA) is a highly effective tool for optimal BESS sizing.
  • EOFA successfully addresses voltage rise issues in PV-integrated distribution networks.
  • The proposed method provides a robust solution for integrating BESS with renewable energy sources.