Collaborative Optimization of Transmission and Distribution Considering Energy Storage Systems on Both Sides of Transmission and Distribution

Zekai Xu, Jinghan He, Zhao Liu () and Zhiyi Zhao
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Zekai Xu: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Jinghan He: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Zhao Liu: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Zhiyi Zhao: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China

Energies, 2023, vol. 16, issue 13, 1-23

Abstract: With the high penetration of renewable energy resources, power systems are facing increasing challenges in terms of flexibility and regulation capability. To address these, energy storage systems (ESSs) have been deployed on both transmission systems and distribution systems. However, it is hard to coordinate these ESSs with a single centralized optimization, and the time-domain coupling constraints of ESSs lead to high optimization complexity and a time-consuming calculation process. In this regard, this paper proposes a hierarchical transmission and distribution systems coordinative optimization framework, considering the ESSs at both ends of the systems. The decoupling of the time-domain coupling constraints of ESSs is realized by the Lyapunov optimization. Furthermore, the decoupling mechanism is embedded in the iterative process of analytical target cascading (ATC). In addition, an ATC-based Lyapunov optimization (ATC-L) approach is proposed to solve the co-optimization problem of the operations of the transmission system with multiple connected distribution systems. Through a case study, it is verified that the proposed framework and the ATC-L approach can effectively reduce the system’s operational cost and improve the consumption rate of renewable energy.

Keywords: energy storage system; coordinative optimization of transmission and distribution; Lyapunov optimization; analytical target cascading; renewable energy consumption (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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