Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2021 , Vol. 55 >Issue 7: 802 - 813

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2020.012

Flexibility Evaluation Method for Power System Based on Clustering of Typical Operating Scenarios

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  • 1. Yunnan Power Grid Co., Ltd., Kunming 650011, China
    2. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Received date: 2020-01-08

  Online published: 2021-07-30

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Abstract

The development of renewable energy represented by wind, photovoltaic, and hydropower can increase the uncertainty of power systems. In order to ensure the flexible operation of power systems with a high proportion of renewable energy, a power system flexibility evaluation method based on typical operating scenarios was proposed. Through a modified K-means algorithm, the operating scenarios of renewable energy and load were clustered to obtain typical scenarios. The flexibility evaluation indexes were proposed from three perspectives including regional supply and demand balance, regional power flow distribution, and inter-regional transmission capacity. The flexibility evaluation index of each scenario, and the comprehensive evaluation index based on the appearance probability of each scenario were calculated to evaluate the flexibility of the system. Based on the actual historical output data of new energy and the load of a certain region in the south, the flexibility evaluation was performed on a modified IEEE 39 system. The results show that the proposed clustering method and flexibility index can effectively reflect the flexibility of the system.

Key words： scenario clustering; power system; flexibility; evaluation method; renewable energy

Cite this article

YOU Guangzeng, TANG Xiangying, HU Yan, TAI Nengling, ZHU Xinchun, LI Lingfang . Flexibility Evaluation Method for Power System Based on Clustering of Typical Operating Scenarios[J]. Journal of Shanghai Jiaotong University, 2021 , 55(7) : 802 -813 . DOI: 10.16183/j.cnki.jsjtu.2020.012

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