A Review on Energy Management System for Grid-Connected Utility-Scale Renewable Hybrid Power Plants

Area of Science:

• Renewable Energy Systems
• Power Plant Operations
• Control Systems Engineering

Background:

• Renewable hybrid power plants (HPPs) are rapidly expanding globally.
• Energy management systems (EMSs) are crucial for optimizing HPP economic returns and operations.
• A comprehensive review of EMS advancements for utility-scale HPPs is currently lacking.

Purpose of the Study:

• To provide an in-depth analysis of current EMS research for grid-connected, utility-scale renewable HPPs.
• To outline common HPP configurations relevant to EMS modeling.
• To identify and discuss key EMS approaches, market participation strategies, and addressed uncertainties.

Main Methods:

• Review and analysis of existing literature on EMS for renewable HPPs.
• Detailed discussion of five primary EMS methodologies: rule-based, mathematical optimization, model predictive control, deep reinforcement learning, and stochastic dynamic programming.
• Categorization of market participation types and uncertainties handled by EMS, alongside an overview of industrial EMS tools.

Main Results:

• Common HPP configurations are presented as a basis for EMS development.
• Five distinct EMS approaches are critically examined, highlighting their strengths and weaknesses.
• The paper categorizes market participation and uncertainty handling within EMS, and introduces relevant industrial tools.

Conclusions:

• This paper offers a comprehensive overview of EMS research for renewable HPPs.
• It identifies critical research gaps and provides insights for future development.
• Serves as a valuable resource for researchers and industry professionals in the HPP EMS field.