Electric Power ›› 2024, Vol. 57 ›› Issue (7): 98-108.DOI: 10.11930/j.issn.1004-9649.202312058

• Key Technologies for Energy Storage Planning and Operation of New Power System • Previous Articles     Next Articles

Collaborative Expansion Planning of Source-Grid-Storage in Medium Voltage Distribution System Considering Operational Flexibility

Fengliang XU1(), Keqian WANG1(), Wenhao WANG2, Peng WANG1, Huanchang WANG3, Shuai Zhang3, Fengzhan ZHAO3()   

  1. 1. State Grid Henan Electric Power Company Xinyang Power Supply Company, Xinyang 464000, China
    2. State Grid Henan Electric Power Company Economic and Technological Research Institute, Zhengzhou 450000, China
    3. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
  • Received:2023-12-15 Accepted:2024-03-14 Online:2024-07-23 Published:2024-07-28
  • Supported by:
    This work is supported by Science and Technology Project of SGCC (No.521770220001).

Abstract:

To adapt to the dual volatility of distributed generation (DG) and load in the new distribution system, it is necessary to coordinate the source-grid-storage allocation to meet the needs of system operational flexibility. To characterize the operational flexibility level of the distribution system, three indexes including the net load adaptability index, net load fluctuation index and line load margin balance index are proposed from three aspects including flexible supply and demand balance, net load curve smoothness and line transmission balance, and a distribution system source-grid-storage three-layer expansion planning model is established with consideration of above indexes. The upper and middle layers are optimized in distribution lines, DG and energy storage to minimize the annual comprehensive costs, and the lower layer is optimized in operation to maximize the operational flexibility. The composite clustering algorithm is used to generate the typical planning scenarios of the distribution system, and the three-layer extended planning model is solved with the improved particle swarm algorithm and non-dominated genetic algorithm in the bi-level nested form. Finally, the effectiveness and superiority of the proposed planning model are verified based on the improved IEEE33 node system.

Key words: distribution system expansion planning, operational flexibility, distributed generation, energy storage system, source-grid-storage coordination planning