Electric Power ›› 2022, Vol. 55 ›› Issue (1): 55-63.DOI: 10.11930/j.issn.1004-9649.202010117

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Wide-Area Power System Generation-Transmission-Storage Coordinated Planning Method Based on Multiple Flexibility Constraints and Time-Series Simulation

REN Dawei1,2, XIAO Jinyun1,2, HOU Jinming1,2, DU Ershun3, JIN Chen1,2, ZHOU Yuanbing1,2   

  1. 1. Global Energy Interconnection Development and Cooperation Organization, Beijing 100031, China;
    2. Global Energy Interconnection Group Co., Ltd., Beijing 100031, China;
    3. Laboratory of Low Carbon Energy, Tsinghua University, Beijing 100084, China
  • Received:2020-10-28 Revised:2021-08-25 Online:2022-01-28 Published:2022-01-20
  • Supported by:
    This work is supported by the National Natural Science Foundation of China Youth Fund Project (No.51907100), Science and Technology Project of Global Energy Interconnection Group Co., Ltd. (No.2700/2020-75001)

Abstract: With the continuous development of global large-scale wind power and photovoltaic power (PV), the net load fluctuations in the system keep intensifying. It creates an urgent need to build a quantifiable and efficient wide-area power system optimization planning model, which can promote the research on planning multiple flexible resources in a wide area. This paper first constructed a time-series operational simulation model considering the output constraints on multiple flexible resources, which is based on a simplified power system unit-commitment model. The capacity of renewable-energy power supply, power grid interconnection, and energy storage in the target level year was optimized, and the analysis process of generation-transmission-storage coordinated optimization planning is summarized. Secondly, the case analysis was performed with the above model, and the capacity of new power generation, power grid interconnection, and energy storage in 2050 was optimized, which was based on the generation-transmission-storage plan of Northeast Asia in 2035. Further, the key issues were elaborated, such as renewable-energy installed capacity, power-grid interconnection capacity, energy storage capacity, the relationship between renewable-energy installed capacity and energy storage capacity, and that between power grid interconnection and energy storage capacity. Finally, some misunderstandings that should be avoided in generation-transmission-storage planning and coordinated optimization suggestions were discussed to provide a technical reference for future planning of a high-proportion renewable energy power system.

Key words: multiple flexibility constraints, time-series operation simulation, coordinated optimization planning, sensitivity analysis