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

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 syst...

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Bibliographic Details
Published in:Science China. Technological sciences Vol. 67; no. 5; pp. 1612 - 1627
Main Authors: Yao, Yu, Song, YongHua, Ye, ChengJin, Ding, Yi, Zhao, YuMing
Format: Journal Article
Language:English
Published: Beijing Science China Press 01.05.2024
Springer Nature B.V
Subjects:
Alternative energy sources
Clustering
Engineering
Frequency response
Literature reviews
Mixed integer
Performance evaluation
Renewable resources
Risk management
Scheduling
Security
performance curve
aggregation method
mixed integer second-order cone programming
demand-side heterogenous flexible resources
risk management of power system frequency
ISSN:1674-7321, 1869-1900
Online Access:Get full text
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Summary: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 programming (MISOCP) and solved by the commercial solver. The proposed model is validated by the IEEE 30 and IEEE 118 bus systems.
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ISSN:1674-7321
1869-1900
DOI:10.1007/s11431-023-2548-3