LAPSE:2019.1590
Published Article
LAPSE:2019.1590
Reliability Evaluation Method Considering Demand Response (DR) of Household Electrical Equipment in Distribution Networks
Hongzhong Chen, Jun Tang, Lei Sun, Jiawei Zhou, Xiaolei Wang, Yeying Mao
December 13, 2019
The load characteristic of typical household electrical equipment is elaborately analyzed. Considering the electric vehicles’ (EVs’) charging behavior and air conditioning’s thermodynamic property, an electricity price-based demand response (DR) model and an incentive-based DR model for two kinds of typical high-power electrical equipment are proposed to obtain the load curve considering two different kinds of DR mechanisms. Afterwards, a load shedding strategy is introduced to improve the traditional reliability evaluation method for distribution networks, with the capacity constraints of tie lines taken into account. Subsequently, a reliability calculation method of distribution networks considering the shortage of power supply capacity and outages is presented. Finally, the Monte Carlo method is employed to calculate the reliability index of distribution networks with different load levels, and the impacts of different DR strategies on the reliability of distribution networks are analyzed. The results show that both DR strategies can improve the distribution system reliability.
Keywords
capacity constraint, demand response, household electrical equipment, incentive mechanism, real-time electricity price, reliability evaluation
Suggested Citation
Chen H, Tang J, Sun L, Zhou J, Wang X, Mao Y. Reliability Evaluation Method Considering Demand Response (DR) of Household Electrical Equipment in Distribution Networks. (2019). LAPSE:2019.1590
Author Affiliations
Chen H: State Grid Suzhou Power Supply Company, Suzhou 215004, China
Tang J: State Grid Suzhou Power Supply Company, Suzhou 215004, China
Sun L: School of Electrical and Automation Engineering, Hefei University of Technology, Hefei 230009, China
Zhou J: State Grid Suzhou Power Supply Company Suzhou Electric Power Design Institute Co., Ltd., Suzhou 215004, China
Wang X: State Grid Suzhou Power Supply Company, Suzhou 215004, China
Mao Y: State Grid Suzhou Power Supply Company, Suzhou 215004, China
Journal Name
Processes
Volume
7
Issue
11
Article Number
E799
Year
2019
Publication Date
2019-11-03
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7110799, Publication Type: Journal Article
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LAPSE:2019.1590
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doi:10.3390/pr7110799
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Dec 13, 2019
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CC BY 4.0
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Dec 13, 2019
 
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Dec 13, 2019
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Calvin Tsay
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