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author:

Tan, Hong (Tan, Hong.) [1] | Yan, Wei (Yan, Wei.) [2] | Ren, Zhouyang (Ren, Zhouyang.) [3] | Wang, Qiujie (Wang, Qiujie.) [4] | Mohamed, Mohamed A. (Mohamed, Mohamed A..) [5]

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EI

Abstract:

Wind power integration may be restricted due to the asynchrony of electricity and heat loads and the strong coupling between the power generation and heat production of combined heat and power (CHP) units. The price-based integrated demand response (PBIDR) can adjust electricity and heat loads to accommodate wind power. But, it is tricky to formulate appropriate electricity and heat prices to make the system having enough flexibility and achieves the best economic benefits. This paper proposes a robust dispatch model for integrated electricity and heat networks (IEHNs) based on PBIDR. The linear model of the district heating network (DHN) is first derived based on the equivalent infinitesimal replacement theorem and the assumption that the supply temperatures at load nodes are approximately equal. Then, a computationally tractable PBIDR model is formulated in terms of the theory of price elasticity of demand and the concept of thermal sensation vote (TSV). Finally, the dispatch model is constructed as a two-stage robust optimization problem to hedge the uncertainty of the wind power output, the ambient temperature, and the PBIDR. The effectiveness of the proposed model is verified by two different scale test systems. © 2021 Elsevier Ltd

Keyword:

Cogeneration plants District heating Electric load dispatching Heating equipment Optimization Thermal load Wind power

Community:

  • [ 1 ] [Tan, Hong]State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing; 400044, China
  • [ 2 ] [Yan, Wei]State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing; 400044, China
  • [ 3 ] [Ren, Zhouyang]State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing; 400044, China
  • [ 4 ] [Wang, Qiujie]Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Mohamed, Mohamed A.]Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou University, Fuzhou; 350116, China
  • [ 6 ] [Mohamed, Mohamed A.]Electrical Engineering Department, Faculty of Engineering, Minia University, Minia, 61519, Egypt

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Source :

Energy

ISSN: 0360-5442

Year: 2022

Volume: 239

9 . 0

JCR@2022

9 . 0 0 0

JCR@2023

ESI HC Threshold:66

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 77

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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