Advancements in Sustainable Energy Management: A Hybrid Jellyfish Search-Golden Jackal Optimization Approach

Strategic Insights -

A new report from the Institute of Engineering and Technology presents an advanced hybrid energy management system (EMS) designed for isolated microgrids, aiming to optimize the integration of renewable energy sources with backup systems to enhance energy efficiency and ensure a stable power supply. The proposed EMS incorporates solar photovoltaic (PV) and wind turbine (WT) generation systems, coupled with a battery energy storage system (BESS) for energy storage and management and a microturbine (MT) as a backup solution during low generation or peak demand periods.

Key Takeaways:

  • The proposed hybrid energy management system (EMS) optimizes the integration of renewable energy sources with backup systems to enhance energy efficiency and ensure a stable power supply.
  • The EMS incorporates solar photovoltaic (PV) and wind turbine (WT) generation systems, coupled with a battery energy storage system (BESS) for energy storage and management and a microturbine (MT) as a backup solution.
  • The hybrid optimization algorithm, the JSO-GJO (Jellyfish Search and Golden Jackal hybrid Optimization), achieves the highest energy efficiency of 99.20%, minimizes power losses to 0.116 kW, maximizes annual energy production at 421,847.82 kWh, and reduces total annual costs to USD 50,617,477.51.
  • The JSO-GJO algorithm outperforms other optimization algorithms, including Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFO), Artificial Bee Colony (ABC), Grey Wolf Optimization (GWO), and Whale Optimization Algorithm (WOA), in terms of energy efficiency and cost savings.
  • The study demonstrates the superiority of the JSO-GJO algorithm, establishing it as a highly effective solution for optimizing hybrid isolated EMS in renewable energy applications.

Statistics:

  • The JSO-GJO algorithm achieves an energy efficiency of 99.20%.
  • The algorithm minimizes power losses to 0.116 kW.
  • The JSO-GJO algorithm maximizes annual energy production at 421,847.82 kWh.
  • The total annual costs are reduced to USD 50,617,477.51.
  • The study compares the JSO-GJO algorithm with other optimization algorithms, showing its superiority in terms of energy efficiency and cost savings.

Sources:

  • Optimal Sustainable Energy Management for Isolated Microgrid: a Hybrid Jellyfish Search-golden Jackal Optimization Approach. Sustainability, 2025;17(11):4801.
  • Institute of Engineering and Technology.
  • NewsRx LLC.
  • MDPI.
  • NewsRx. Study Findings from Institute of Engineering and Technology Broaden Understanding of Sustainable Energy (Optimal Sustainable Energy Management for Isolated Microgrid: a Hybrid Jellyfish Search-golden Jackal Optimization Approach). Ecology, Environment & Conservation. July 11, 2025; p 1253.