Optimum energy management of distribution networks with integrated decentralized PV-BES systems using SPEA2-based...

Area of Science:

• Electrical Engineering
• Renewable Energy Systems
• Optimization Algorithms

Background:

• Traditional electricity supply relies heavily on the main grid.
• Integrating renewable energy sources like photovoltaic (PV) panels and battery energy storage systems (BESS) in microgrids offers cost reduction, sustainability, and efficiency improvements.
• Optimizing microgrid operations is crucial for managing energy demand and supply effectively.

Purpose of the Study:

• To propose an optimized method for integrating PV panels and BESS in a microgrid to reduce operational costs.
• To minimize technical grid issues (power losses, voltage fluctuations), maximize financial returns for distribution network operators, and reduce grid imports.
• To validate the proposed optimization method using numerical results and case studies.

Main Methods:

• The study employs the Strength Pareto Evolutionary Algorithm 2 (SPEA2) for optimization.
• The optimization focuses on balancing energy generation from PV, BESS, and the main grid.
• Numerical results are validated using detailed data on energy demand, solar irradiance, and energy storage.

Main Results:

• The optimized microgrid strategy reduced power losses by 47% and voltage deviation by 51%.
• Financial returns for distribution network operators improved by 54% compared to the reference case.
• Battery energy storage systems (BESS) integration proved effective in minimizing grid imports, particularly during peak demand hours.

Conclusions:

• The proposed optimization method demonstrates significant efficiency and effectiveness in managing microgrids.
• Integrating PV panels and BESS offers a viable solution for reducing operational costs and enhancing energy efficiency.
• The study confirms the substantial benefits of microgrid optimization for grid stability, economic returns, and reduced reliance on the main grid.