Advances in Wind Energy: New Economic and Environmental Power Dispatch Approach

Strategic Insights -

A new study published in Results in Engineering has made significant strides in optimizing wind energy management for microgrids, integrating distributed wind energy resources and battery energy storage systems. The research proposes an intelligent energy management algorithm that adapts to variations in wind energy resources, battery state of charge, and power demand, minimizing costs, network losses, and CO2 emissions. The algorithm was tested on a 33-node feeder system and yielded promising results, with the Salp Swarm Algorithm and Generalized Normal Distribution Optimization outperforming other metaheuristic algorithms.

Key Takeaways:

  • The research proposes a new economic and environmental power dispatch approach for energy management of alternating current microgrids integrated with distributed wind energy resources and battery energy storage systems.
  • The algorithm adapts to inherent variations in wind energy resources, state of charge of batteries, and power demand, minimizing costs, network losses, and CO2 emissions.
  • Four metaheuristic optimization algorithms were implemented: Enhanced Prairie Dog Optimization (EPDO), Salp Swarm Algorithm (SSA), Generalized Normal Distribution Optimization (GNDO), and Crow Search Algorithm (CSA).
  • A particle swarm optimization (PSO) algorithm was used to fine-tune the parameters of each algorithm, eliminating the need for manual adjustments and optimizing the quality and processing time.
  • The SSA and GNDO algorithms outperformed EPDO and CSA, achieving reductions of up to 2.001% in fixed costs, 4.684% in variable costs, 1.214% in CO2 emissions, and 6.084% in energy losses.
  • The Salp Swarm Algorithm (SSA) was found to be the most stable and efficient, with a promising model that can be applied to urban and rural microgrids.

Statistics:

  • 2.001% reduction in fixed costs
  • 4.684% reduction in variable costs
  • 1.214% reduction in CO2 emissions
  • 6.084% reduction in energy losses
  • 24-hour power flow incorporated a strict penalty scheme to satisfy operational constraints

Sources:

  • "Economic and environmental power dispatch for energy management systems applied to microgrids with wind energy resources and battery energy storage systems." Results in Engineering, 2025,27():106430.
  • NewsRx. New Findings Reported from Medellin Describe Advances in Wind Energy (Economic and environmental power dispatch for energy management systems applied to microgrids with wind energy resources and battery energy storage systems). Global Warming Focus. September 8, 2025; p 167.