Hai Li, Ning Zhang, Weihan Bao, 等. Modeling and Planning of Multi-Timescale Flexible Resources in Power Systems[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(4):1533-1543.
Hai Li, Ning Zhang, Weihan Bao, et al. Modeling and Planning of Multi-Timescale Flexible Resources in Power Systems[J]. CSEE Journal of Power and Energy Systems, 2025, 11(4): 1533-1543.
Hai Li, Ning Zhang, Weihan Bao, 等. Modeling and Planning of Multi-Timescale Flexible Resources in Power Systems[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(4):1533-1543. DOI: 10.17775/CSEEJPES.2021.04850.
Hai Li, Ning Zhang, Weihan Bao, et al. Modeling and Planning of Multi-Timescale Flexible Resources in Power Systems[J]. CSEE Journal of Power and Energy Systems, 2025, 11(4): 1533-1543. DOI: 10.17775/CSEEJPES.2021.04850.
Modeling and Planning of Multi-Timescale Flexible Resources in Power Systems
摘要
Abstract
The high penetration of variable renewable energy raises a flexibility challenge in the power system. This raises the necessity of considering the adequacy of flexibility in power system planning. However
the flexibility of the power system covers a wide range of timescales
from seconds to months. This poses difficulties in planning of multi-timescale flexible resources. This paper proposes a new perspective on the modeling and planning of multi-timescale flexible resources in power systems with high penetration of variable renewable energy. The operational boundaries of flexible resources are transformed into a characteristic domain
where flexibility at different timescales can be added and the balance of flexible supply and demand can be expressed as algebraic equations. Such modeling facilitates rigorous multi-timescale flexibility balance metrics. Furthermore
a planning method for multi-timescale flexibility is proposed based on the model in the characteristic domain. The proposed planning method is tested using data from China's Xinjiang provincial power grid. Results show the proposed method can characterize multi-timescale flexibility with high accuracy
thus making it possible to fully account for flexibility at different timescales.
关键词
Keywords
references
18. Electric Power Research Institute. ( 2016 ). Electric power system flexibility: challenges and opportunities. [Online]. Available: https://www.naseo.org/Data/Sites/1/flexibility-white-paper.pdf.
24. National Development and Reform Commission of China, National Energy Administration of China. ( 2018 ). Clean energy consumption plan. [Online]. Available: http://en.cnste.org/html/events/2019/0813/469.html.
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相关作者
Zehao Shi
Jiajia Chen
Yanxin Wang
Yanlei Zhao
Bingyin Xu
Zhongkai Yi
Yinliang Xu
Xuan Wei
相关机构
School of Electrical and Electronic Engineering, Shandong University of Technology
Tsinghua Shenzhen International Graduate School, Tsinghua University
Department of Electrical Engineering, Tsinghua University
Department of Automation, Hangzhou Dianzi University
Department of Electrical Engineering, Southeast University