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Author:

Yang, Xinyu (Yang, Xinyu.) | He, Xiaofei (He, Xiaofei.) | Lin, Jie (Lin, Jie.) | Yu, Wei (Yu, Wei.) | Yang, Qingyu (Yang, Qingyu.)

Indexed by:

CPCI-S Scopus EI

Abstract:

In the smart grid, as a large-scale distributed cyber-physical system, Demand Response (DR) plays an important role in the electricity market. Various demand response schemes have been developed to improve the efficiency and economy of power utilization. Nonetheless, most existing schemes, including both market-led and system -led schemes, do not carefully take the information security into account in the DR process so that the power grid could suffer from cyber attacks (data integrity attacks, etc.). To address this issue, in this paper we proposed a resilient demand response scheme based on microgrids, which can achieve both great effectiveness of energy use and security resilience against data integrity attacks. In our scheme, the DR process considers two power distribution stages. In the intra-microgrid stage, the DR providers generate the list of possible electricity prices and schedules for power delivery. In the inter-microgrid stage, utilities select the proper electricity price and the schedule for power delivery. In this way, the damage impact of attacks on the power grid can be limited only within isolated microgrids that are compromised, while other microgrids that. are not compromised can operate effectively. Our experimental results show that our scheme can not only bring better benefits to all participants, but also achieve a greater security resilience in the DR process in comparison with existing schemes.

Keyword:

Data integrity attacks Demand response Electricity market Microgrid Security resilience Smart grid

Author Community:

  • [ 1 ] [Yang, Xinyu; He, Xiaofei; Lin, Jie] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian, Peoples R China
  • [ 2 ] [Yu, Wei] Towson Univ, Dept Comp & Informat Sci, Towson, MD USA
  • [ 3 ] [Yang, Qingyu] Xi An Jiao Tong Univ, SKLMSE Lab, Xian, Peoples R China
  • [ 4 ] [Yang, Xinyu]Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian, Peoples R China
  • [ 5 ] [He, Xiaofei]Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian, Peoples R China
  • [ 6 ] [Lin, Jie]Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian, Peoples R China
  • [ 7 ] [Yu, Wei]Towson Univ, Dept Comp & Informat Sci, Towson, MD USA
  • [ 8 ] [Yang, Qingyu]Xi An Jiao Tong Univ, SKLMSE Lab, Xian, Peoples R China

Reprint Author's Address:

  • Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian, Peoples R China.

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Source :

2016 17TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD)

ISSN: 9781509022397

Year: 2016

Page: 337-342

Language: English

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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