A Reinforcement Learning Approach for Optimal Control in
Abstract—The increasing integration of renewable energy sources (RESs) is transforming traditional power grid networks, which require new approaches for managing decentralized en-ergy production
A holistic power optimization approach for microgrid control
This paper presents a holistic data-driven power optimization approach based on deep reinforcement learning (DRL) for microgrid control, considering the multiple needs of
Role of optimization techniques in microgrid energy management
The different optimization techniques used in energy management problems, particularly focusing on forecasting, demand management, economic dispatch, and unit commitment, are
Advancements and Challenges in Microgrid Technology: A
The concept of microgrids (MGs) as compact power systems, incorporating distributed energy resources, generating units, storage systems, and loads, is widely acknowledged in the
Cost-effective and sustainable operation of microgrids using Improved
A primary function is the optimization of energy availability, wherein the EMS maximizes energy access and reliability for end-users while minimizing power losses, reducing operational
(PDF) A review on the microgrid sizing and performance optimization
A comparative analysis of diverse metaheuristic algorithms for microgrid optimization is provided in this paper, which emulates natural phenomena, such as evolutionary processes and
Optimizing microgrid performance a multi-objective strategy for
These results demonstrate how the optimization framework balances multiple objectives, ensuring an efficient and cost-effective energy management strategy within the microgrid.
A Comprehensive Review of Sizing and Energy Management
This review guides researchers interested in energy management in microgrids, covering aspects of power flow optimization, reliability assessment, and the application of advanced control
Efficient power generation in microgrids: an advanced optimization
The increasing integration of renewable energy sources in microgrids (MGs) necessitates the use of advanced optimization techniques to ensure cost-effective and reliable power management.
Power & Cost Optimization in Microgrid Energy Management
Discover an innovative energy management system for microgrids using the CMVO optimizer to enhance efficiency and reduce costs with renewable energy.