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Author:

Yang, S. (Yang, S..) | Tan, Z. (Tan, Z..) | Lin, H. (Lin, H..) | Xue, F. (Xue, F..) | De, G. (De, G..) | Li, P. (Li, P..)

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EI Scopus

Abstract:

The clean and low-carbon transformation of rural energy is a key element in the development of rural revitalization strategy and the realization of dual carbon goals. As a hub connecting both sides of rural energy supply and demand, the rural grid is the front-runner in building a low-carbon countryside and helping to reduce carbon emissions in rural areas, and it is imperative to build a distributed clean energy system in rural areas. In this paper, the overall design of the distributed clean energy system in rural areas is firstly considered, in terms of construction, system, users and policies; secondly, based on the system layer for different users, conventional and robust distributed clean energy system operation optimization models are constructed respectively; finally, a rural area in Henan Province is selected as the simulation background, and multiple scenarios are set to quantify the low carbonization level of typical daily supply and demand in rural areas. The results show that: The clean energy system has promising economic and environmental benefits; demand response enhances the low carbonization level by shifting the user load; robust stochastic optimization is a means for the energy supplier to reduce the risk of supplying energy by reducing the amount of clean energy supply, but it lowers low carbonization level; the energy storage aggregator can improve the low carbonization level by flexibly absorbing the abandoned clean energy, but the benefit is low due to its cost, and therefore price discount should be considered. © 2022 Systems Engineering Society of China. All rights reserved.

Keyword:

demand response operation optimization distributed rural clean energy system energy storage aggregator decarbonization level

Author Community:

  • [ 1 ] [Yang S.]College of Economics and Management, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Yang S.]School of Economics and Management, North China Electric Power University, Beijing, 102206, China
  • [ 3 ] [Tan Z.]School of Economics and Management, North China Electric Power University, Beijing, 102206, China
  • [ 4 ] [Lin H.]School of Economics and Management, North China Electric Power University, Beijing, 102206, China
  • [ 5 ] [Xue F.]School of Economics and Management, North China Electric Power University, Beijing, 102206, China
  • [ 6 ] [De G.]State Grid Economic and Technological Research Institute Co. Ltd., Beijing, 102209, China
  • [ 7 ] [Li P.]State Grid Henan Electric Power Company Economic and Technical Research Institute, Zhengzhou, 450000, China

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Source :

System Engineering Theory and Practice

ISSN: 1000-6788

Year: 2022

Issue: 12

Volume: 42

Page: 3319-3334

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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