中国科学:技术科学(英文版)2024,Vol.67Issue(5) :1612-1627.DOI:10.1007/s11431-023-2548-3

Exploiting demand-side heterogeneous flexible resources in risk management of power system frequency

YAO Yu SONG YongHua YE ChengJin DING Yi ZHAO YuMing
中国科学:技术科学(英文版)2024,Vol.67Issue(5) :1612-1627.DOI:10.1007/s11431-023-2548-3

Exploiting demand-side heterogeneous flexible resources in risk management of power system frequency

YAO Yu 1SONG YongHua 2YE ChengJin 1DING Yi 1ZHAO YuMing3
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作者信息

  • 1. College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China
  • 2. State Key Laboratory of Internet of Things for Smart City,University of Macau,Macao SAR 519000,China
  • 3. Shenzhen Power Supply Bureau Co.,Ltd,Shenzhen 518051,China
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Abstract

More demand-side flexible resources(DFRs)are participating in the frequency regulation of renewable power systems,whose heterogeneous characteristics have a significant impact on the system frequency response.Consequently,selecting suitable DFRs poses a formidable challenge for independent system operators(ISO).In this paper,a reserve allocation methodology for heterogeneous DFRs is proposed to manage the risk of power system frequency.Firstly,a performance curve is developed to describe the cost,capacity,and response speed of DFRs.Moreover,a clustering method for multiple distributed DFRs is conducted to calculate the aggregated performance curves and uncertainty coefficients.Then,the frequency security criterion considering DFRs'performance is constructed,whose linearity makes it can be easily coupled into the system scheduling model and solved.Furthermore,a risk management model for DFRs considering frequency-chance-constraint is proposed to make a trade-off between cost and frequency security.Finally,the model is transformed into mixed integer second-order cone pro-gramming(MISOCP)and solved by the commercial solver.The proposed model is validated by the IEEE 30 and IEEE 118 bus systems.

Key words

demand-side heterogenous flexible resources/risk management of power system frequency/performance curve/ag-gregation method/mixed integer second-order cone programming

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基金项目

Key Science and Technology Project of China Southern Power Grid Corporation(090000KK52220020)

出版年

2024
中国科学:技术科学(英文版)
中国科学院

中国科学:技术科学(英文版)

CSTPCDEI
影响因子:1.056
ISSN:1674-7321
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