Decision-Making Method for County Power Grid Dispatching with High Proportion of Renewable Energy

Authors

  • Chao Wang Ninghe Power Supply Branch of State Grid Tianjin Electric Power Company, State Grid Tianjin Electric Power, Tianjin, 301500, China
  • Yuan Niu Ninghe Power Supply Branch of State Grid Tianjin Electric Power Company, State Grid Tianjin Electric Power, Tianjin, 301500, China
  • Lei Zuo State Grid Tianjin Electric Power Company, Tianjin, 300010, China
  • Rui Yu School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
  • Gaohua Liu School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
  • Zhijun E State Grid Tianjin Electric Power Company, Tianjin, 300010, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.4042

Keywords:

County power system, decision-making method, dispatching, hierarchical regulation, particle swarm optimization algorithm

Abstract

With the continuous increase in the proportion of new energy integrated into rural distribution networks, numerous challenges emerge in its dispatching decision-making. This study focuses on this issue and aims to propose an innovative hierarchical regulation method for the maximum and minimum thresholds of new energy with reserve included, so as to achieve efficient dispatching of county power grids. Facing issues like inadequate investment and chaotic management in current county distribution networks, and the lack of market impact consideration in existing research, the paper first analyzes the dispatching decision-making structure involving elastic resources and control strategies. It then introduces the interactive dispatching mechanism with concepts of load aggregators and source attributes. The core hierarchical regulation method covers data preprocessing, cost objective function establishment, and dispatching decision-making. Case studies using actual grid data analyze factors affecting new energy reserve ratio. The developed cloud-edge-end collaborative model with demand-side management realizes multi-time-scale rolling dispatching, reducing new energy volatility and grid operation costs, thus providing an effective solution for high-proportion new energy integration in county power grids.

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Author Biographies

Chao Wang, Ninghe Power Supply Branch of State Grid Tianjin Electric Power Company, State Grid Tianjin Electric Power, Tianjin, 301500, China

Chao Wang received the bachelor’s degree in Electrical Engineering and Its Automation from Huazhong University of Science and Technology in 2011. He is currently working at the Dispatch and Control Center of State Grid Tianjin Ninghe Electric Power Supply Company. His research areas include power system planning and operation, power system protection and control, etc.

Yuan Niu, Ninghe Power Supply Branch of State Grid Tianjin Electric Power Company, State Grid Tianjin Electric Power, Tianjin, 301500, China

Yuan Niu graduated from the School of Electronic Information Engineering of University of Electronic Science and Technology of China in 2005. He is currently working at the Dispatch and Control Center of State Grid Tianjin Ninghe Electric Power Supply Company. His research areas include power system planning and operation, practical technologies for the safe and economic operation of smart grids, etc.

Lei Zuo, State Grid Tianjin Electric Power Company, Tianjin, 300010, China

Lei Zuo received the bachelor’s degree in Electrical Engineering from Chongqing University in 2016 and the master’s degree in Electrical Engineering and Automation from Tianjin University in 2019. He is currently working at the Dispatch and Control Center of State Grid Tianjin Electric Power Company. His research areas include power system planning and operation, as well as grid simulation and analytical computation.

Rui Yu, School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China

Rui Yu graduated from Tianjin University in 2024. He is currently studying for a master’s degree at Tianjin University. The main research interests include new energy scenario generation and distribution network dispatching.

Gaohua Liu, School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China

Gaohua Liu received the B.Eng. degree in communication engineering from Qindao Science and Technology University, Shandong, China, in 2010, and the M.E. degree in electromagnetic field and microwave technology from Tianjin University, Tianjin, China, in 2013, where she is currently pursuing the Ph.D. degree in information and communication engineering. Since 2013, she has been with the School of Electronics and Information Engineering, Tianjin University. Her main research interests include deep learning-based behavior analysis and interaction system development.

Zhijun E, State Grid Tianjin Electric Power Company, Tianjin, 300010, China

Zhijun E received the bachelor’s degree in Electrical Engineering and Automation from Tianjin University in 2000 and the doctor’s degree in Electrical Engineering and Automation from Tianjin University in 2008 He is currently working at the Dispatch and Control Center of State Grid Tianjin Electric Power Company. His research areas include power system planning and operation, as well as grid simulation and analytical computation.

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Published

2025-09-25

How to Cite

Wang, C. ., Niu, Y. ., Zuo, L. ., Yu, R. ., Liu, G. ., & E, Z. . (2025). Decision-Making Method for County Power Grid Dispatching with High Proportion of Renewable Energy. Distributed Generation &Amp; Alternative Energy Journal, 40(04), 655–680. https://doi.org/10.13052/dgaej2156-3306.4042

Issue

2025: Vol 40 Iss 4

Section

Renewable Power & Energy Systems