Special Issues

Energy Storage Planning, Optimal Allocation, and Coordinated Operation in High-Renewable Power Systems

Submission Deadline: 30 April 2027 View: 203 Submit to Special Issue

Guest Editor(s)

Prof. Junhui Li

Email: lijunhui@neepu.edu.cn

Affiliation: School of Electrical Engineering, Northeast Electric Power University, Jilin, China

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Research Interests: grid integration, planning and control of wind and solar power systems planning, operation and control of energy storage systems in power systems

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Assoc. Prof. Fulin Fan

Email: fulin.fan@hit.edu.cn

Affiliation: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China

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Research Interests: integrated energy system, renewable, energy storage, hydrogen, planning, scheduling

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Assoc. Prof. Xingxu Zhu

Email: neduzxx@163.com

Affiliation: School of Electrical Engineering, Northeast Electric Power University, Jilin, China

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Research Interests: power system planning and operation, optimization and control of distributed energy resources in distribution networks

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Assoc. Prof. Cuiping Li

Email: licuipingabc@163.com

Affiliation: School of Electrical Engineering, Northeast Electric Power University, Jilin, China

Homepage:

Research Interests: optimization and control of energy storage resources in power system

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Summary

With the increasing penetration of renewable energy, power systems are rapidly evolving toward new-generation power systems. However, the inherent variability and uncertainty of renewable generation bring significant challenges, including insufficient system flexibility, reduced frequency stability, weakened voltage support capability, and difficulties in renewable energy integration. Energy storage systems have emerged as key enabling technologies for enhancing system flexibility, facilitating renewable energy integration, and ensuring the secure and stable operation of power systems.

This Special Issue focuses on the latest advances in energy storage modeling, optimal allocation, and coordinated operation in high-renewable power systems. It aims to bring together innovative theories, enabling technologies, and practical engineering applications from academia and industry, promoting the deep integration of energy storage technologies into future power systems.

Topics of interest include, but are not limited to:
· Dynamic modeling of energy storage systems
· Equivalent modeling techniques of energy storage for high-renewable power systems
· Energy storage siting, sizing, and optimal allocation
· Planning evaluation and investment decision-making methods for energy storage systems
· Market-oriented planning and value assessment of energy storage
· Optimal energy storage allocation considering multi-market revenue streams
· Energy storage for renewable energy integration and optimal dispatch
· Coordinated operation and control of source-grid-load-storage systems
· Energy storage technologies for frequency stability enhancement and voltage regulation
· Operation, control, and stability support of grid-forming energy storage systems
· Renewable–energy storage coordinated trading and market operation strategies


Keywords

high-renewable power systems, energy storage systems, source-grid-load-storage coordination, energy storage planning and operation, optimal allocation of energy storage, multi-time-scale optimization, renewable energy integration, power system flexibility, electricity markets, artificial intelligence for power systems

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