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Smart Grid Energy Management with Reinforcement Learning

Lars Eriksson, Anna Berg

In: Sustainable Energy Systems and Technologies

We develop a multi-agent reinforcement learning framework for real-time energy management in smart grids with high penetration of renewable energy sources. The framework coordinates distributed energy resources, battery storage, and demand response programs to minimize operational costs while maintaining grid stability. Simulation results on a IEEE 33-bus test system validate the approach.

Sustainable Energy Systems and Technologies

Solar, Wind, Hydrogen, and Smart Grid Integration

Eds. Fatima Al-Hassan, Kwame Asante

This edited book covers the most critical renewable energy technologies and their integration into modern power grids. Topics include photovoltaic systems, offshore wind farms, hydrogen fuel cells, energy storage solutions, smart grid management, and policy frameworks for energy transition in developing and developed economies.

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