Special Session 6

Operation and Planning of Energy Storage in Active Distribution Networks

专题六：主动配电网储能的运行与规划

Organizers:
Yujie Sheng, State Grid Fujian Electric Power Co., Ltd., China
Shiwei Xie, Fuzhou University, China

Submit your paper via http://www.easychair.org/conferences/?conf=apet2024, and choose Special Session 6 option.

The integration of energy storage systems (ESS) within active distribution networks (ADNs) has emerged as a crucial aspect of modern power systems. As the penetration of renewable energy sources (RES) such as solar and wind increases, the variability and unpredictability of these resources pose significant challenges to the stability and reliability of power distribution. Energy storage offers a viable solution by providing the flexibility needed to balance supply and demand, stabilize voltage and frequency, and defer costly infrastructure upgrades. The operation and planning of energy storage in ADNs are thus central to enhancing grid resilience and enabling the efficient integration of renewable energy.

Topics of interest for this special session include, but are not limited to:

(1) Role of Energy Storage in ADNs: Explore how energy storage systems can address the challenges posed by the intermittent nature of renewable energy and contribute to grid stability.
(2) Optimization of Storage Operation: Discuss strategies for optimizing the operation of ESS in real-time, including the use of advanced algorithms and control methods.
(3) Planning and Sizing of ESS: Analyze methods for determining the optimal size and placement of energy storage systems within the distribution network to maximize their impact.
(4) Economic Considerations: Evaluate the economic implications of deploying ESS, including cost-benefit analysis, regulatory frameworks, and business models.
(5) Future Trends and Innovations: Investigate emerging trends in energy storage technologies and their potential impact on the future of active distribution networks.

Yujie Sheng received his B.S. degree in electrical engineering from Xi'an Jiaotong University, Xi 'an, China, in 2019 and his Ph.D. degree in electrical engineering from Tsinghua University, Beijing, China, in 2024. He is now an engineer of State Grid Fujian Electric Power Dispatching and Control Center, State Grid Fujian Electric Power Co., Ltd. His research interests include the coordinated analysis and optimization of coupled power-traffic networks under a growing penetration of electric vehicles.

Shiwei Xie (Member, IEEE) received the Ph.D. degree in electrical engineering from Wuhan University, Wuhan, China, in 2021. From 2019 to 2020, he was a Research Assistant with the School of Electrical and Electronic Engineering (EEE), Nanyang Technological University, Singapore. He is currently a Associated Researcher with the School of electrical engineering and automation, Fuzhou University. His current research interests include variational inequality theory, distributed optimization, robust optimization, and their applications in power and transportation systems.