Optimal Scheduling Strategy for Integrated Energy System Considering Mixed Uncertainties of Integrated Demand Response

Zhihao YANG; Hang LIU; Ming WEN; Haipeng ZHAO; Jing LIAO; Shihong MIAO

doi:10.12204/j.issn.1000-7229.2022.09.007

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Electric Power Construction ›› 2022, Vol. 43 ›› Issue (9) : 66-76. DOI: 10.12204/j.issn.1000-7229.2022.09.007

Key Technology and Application of Flexible Distributed Energy Resources Oriented to New Power System ·Hosted by Associate Professor JU Liwei and Professor TAN Zhongfu·

Optimal Scheduling Strategy for Integrated Energy System Considering Mixed Uncertainties of Integrated Demand Response

Zhihao YANG ¹^,² ,
Hang LIU ³^,⁴ ,
Ming WEN ³^,⁴ ,
Haipeng ZHAO ² ,
Jing LIAO ³^,⁴ ,
Shihong MIAO ¹^,²

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Abstract

Integrated demand response (IDR) is the main means to exploit the load-side regulation potential of the integrated energy system (IES). However, IDR users’ energy consumption behaviors are characterized by random-fuzzy mixed uncertainties, which will not only bring challenges to the formulation of scheduling strategy, but also affect the reliability of the system, and may even lead to load outage. To solve the above problem, firstly, a model based on the improved PMV-PPD index to evaluate user participation willingness is proposed. Secondly, according to the cloud model theory, a price IDR model considering mixed uncertainties is established. On the basis of these, the IES optimal scheduling strategy considering the uncertainties of various energy response boundaries and price elasticity coefficients is proposed. The results of examples show that the proposed IES optimal scheduling strategy can better deal with the load fluctuation caused by the uncertainties of IDR and improve system reliability effectively.

Key words

integrated energy system(IES) / integrated demand response(IDR) / optimal scheduling / mixed uncertainties / reliability / cloud model

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Zhihao YANG , Hang LIU , Ming WEN , et al . Optimal Scheduling Strategy for Integrated Energy System Considering Mixed Uncertainties of Integrated Demand Response[J]. Electric Power Construction. 2022, 43(9): 66-76 https://doi.org/10.12204/j.issn.1000-7229.2022.09.007

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