Open AccessSurvivability optimisation of communication network for demand response in source–grid–load system
Author(s) -
Liu Lin,
Li Bin,
Qi Bing,
Ye Xin,
Sun Yi,
Cheng Ziyun
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2020.0353
Subject(s) - computer science , survivability , robustness (evolution) , distributed computing , multipath propagation , load balancing (electrical power) , grid , telecommunications network , computer network , smart grid , demand response , network topology , reliability (semiconductor) , power (physics) , engineering , electricity , biochemistry , chemistry , channel (broadcasting) , geometry , mathematics , electrical engineering , gene , physics , quantum mechanics
The increase of power consumption around the world puts forward higher requirements for the robustness of the power grid. As a critical application of the smart grid, demand response (DR) has significant impacts on the stable operation of the grid. The source–grid–load system (SGLS) in Jiangsu Province of China has implemented three different types of DR. This study aims at promoting the survivability of the DR communication network, which can enhance the reliability of DR. In response to concurrent dual‐link failure, the authors first present a capacity expansion algorithm with the minimum distance to enhance the topology of the DR communication network. Next, they design a multipath routing algorithm based on pre‐estimation to configure multiple paths for every DR terminal according to the characteristics of the DR service. Then they propose a link capacity sharing algorithm for multipath to reduce the communication network cost for DR. Simulations demonstrate the proposed algorithm can improve survivability and reduce the cost of the DR communication network. Furthermore, they compare the multipath configuration algorithms in different topology enhancement schemes, which can give some suggestions on the construction of SGLS in the future.