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Synergistic Optimization of Solar Photovoltaic Generation and Energy Storage Deployment for Smart Grid Performance Enhancement

  • Duy C. Huynh
  • , Viet D. Q. Nguyen
  • , Loc D. Ho
  • , Phat T. Nguyen
  • , Corina Barbalata
  • , Matthew W. Dunnigan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The increasing integration of renewable energy sources in smart grids requires effective planning strategies to reduce power losses and maintain voltage stability. This paper proposes a synergistic optimization framework for coordinated deployment of solar photovoltaic (PV) generation and battery energy storage systems (BESS) to enhance smart grid performance. The optimization problem is formulated to minimize total active power losses under operational and voltage constraints and is solved using an advanced artificial bee colony (ABC) algorithm with chaotic initialization. Numerical simulations on the IEEE 33-bus smart grid demonstrate that coordinated solar PV-BESS integration significantly outperforms solar PV-only deployment, achieving a maximum loss reduction of 65.84% while satisfying all voltage limits. Comparative results with GA, PSO, and the conventional ABC algorithm confirm the effectiveness and robustness of the proposed approach for smart grid planning applications.
Original languageEnglish
Title of host publication5th IEEE International Multidisciplinary Conference on Engineering Technology 2026
PublisherIEEE
ISBN (Electronic)9798331588212
DOIs
Publication statusPublished - 8 May 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • battery energy storage systems
  • smart grids
  • solar photovoltaic systems
  • synergistic optimization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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