Optimal Schedule of Hydropower and New Energy Power Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".
Deadline for manuscript submissions: 29 August 2025 | Viewed by 230
Special Issue Editors
Interests: hydropower and new energy power system optimization scheduling; power market bidding; power grid scheduling operation; artificial intelligence
Special Issue Information
Dear Colleagues,
The increasing integration of hydropower with new energy sources, such as wind and solar power, presents both opportunities and challenges for modern power systems. As a flexible and dispatchable energy source, hydropower plays a crucial role in balancing the variability of renewables, providing fast response capabilities, frequency regulation, and peak load management. However, the operation of hydropower is constrained by water availability, environmental regulations, and multi-purpose reservoir management, making its coordination with other renewable sources a complex optimization problem. The fluctuating and intermittent nature of wind and solar power, coupled with these hydropower constraints and the need for reliable and efficient electricity supply, calls for advanced scheduling strategies that optimize power generation, storage, and distribution.
This Special Issue focuses on cutting-edge research in the optimal scheduling of hydropower and new energy power systems. Topics of interest include, but are not limited to, the following:
- Hydropower and renewable energy coordination: Strategies for jointly optimizing hydropower and variable renewable energy sources.
- Stochastic and robust optimization: Approaches to handle the uncertainties in renewable energy generation and water inflows.
- Multi-objective scheduling: Trade-offs between economic, environmental, and reliability objectives in scheduling decisions.
- Energy storage integration: The role of batteries, pumped storage, and other energy storage technologies in enhancing system flexibility.
- AI and data-driven methods: Applications of machine learning, deep learning, and reinforcement learning in power scheduling.
- Market mechanisms and policy implications: The impact of electricity market structures and regulatory policies on optimal scheduling.
- Resilience and risk management: Methods for ensuring grid stability under extreme weather conditions and other uncertainties.
Dr. Zhipeng Zhao
Dr. Xiaoyu Jin
Guest Editors
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Keywords
- hydropower scheduling
- pumped storage
- power system optimal operation
- renewable energy integration
- energy storage management
- stochastic and robust optimization
- multi-objective decision making
- electricity market operations
- grid flexibility and stability
- sustainable energy planning
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the impacts of water pricing policies and water resource management policies on carbon emissions
- renewable energy development
- integrated utilization of hydropower-related water resources
- decarbonization strategies
- grid stability and reliability
- automatic generation control
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