Collaborative Optimization of Transmission and Distribution Considering Energy Storage Systems on Both Sides of Transmission and Distribution
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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-07-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/16/13/5199 |
| _version_ | 1797591760444063744 |
|---|---|
| author | Zekai Xu Jinghan He Zhao Liu Zhiyi Zhao |
| author_facet | Zekai Xu Jinghan He Zhao Liu Zhiyi Zhao |
| author_sort | Zekai Xu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T01:41:57Z |
| format | Article |
| id | doaj.art-566d8cc07d784176a6f1e647ca95b7c7 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T01:41:57Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-566d8cc07d784176a6f1e647ca95b7c72023-11-18T16:31:51ZengMDPI AGEnergies1996-10732023-07-011613519910.3390/en16135199Collaborative Optimization of Transmission and Distribution Considering Energy Storage Systems on Both Sides of Transmission and DistributionZekai Xu0Jinghan He1Zhao Liu2Zhiyi Zhao3School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, ChinaWith 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.https://www.mdpi.com/1996-1073/16/13/5199energy storage systemcoordinative optimization of transmission and distributionLyapunov optimizationanalytical target cascadingrenewable energy consumption |
| spellingShingle | Zekai Xu Jinghan He Zhao Liu Zhiyi Zhao Collaborative Optimization of Transmission and Distribution Considering Energy Storage Systems on Both Sides of Transmission and Distribution Energies energy storage system coordinative optimization of transmission and distribution Lyapunov optimization analytical target cascading renewable energy consumption |
| title | Collaborative Optimization of Transmission and Distribution Considering Energy Storage Systems on Both Sides of Transmission and Distribution |
| title_full | Collaborative Optimization of Transmission and Distribution Considering Energy Storage Systems on Both Sides of Transmission and Distribution |
| title_fullStr | Collaborative Optimization of Transmission and Distribution Considering Energy Storage Systems on Both Sides of Transmission and Distribution |
| title_full_unstemmed | Collaborative Optimization of Transmission and Distribution Considering Energy Storage Systems on Both Sides of Transmission and Distribution |
| title_short | Collaborative Optimization of Transmission and Distribution Considering Energy Storage Systems on Both Sides of Transmission and Distribution |
| title_sort | collaborative optimization of transmission and distribution considering energy storage systems on both sides of transmission and distribution |
| topic | energy storage system coordinative optimization of transmission and distribution Lyapunov optimization analytical target cascading renewable energy consumption |
| url | https://www.mdpi.com/1996-1073/16/13/5199 |
| work_keys_str_mv | AT zekaixu collaborativeoptimizationoftransmissionanddistributionconsideringenergystoragesystemsonbothsidesoftransmissionanddistribution AT jinghanhe collaborativeoptimizationoftransmissionanddistributionconsideringenergystoragesystemsonbothsidesoftransmissionanddistribution AT zhaoliu collaborativeoptimizationoftransmissionanddistributionconsideringenergystoragesystemsonbothsidesoftransmissionanddistribution AT zhiyizhao collaborativeoptimizationoftransmissionanddistributionconsideringenergystoragesystemsonbothsidesoftransmissionanddistribution |