• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2022, Vol. 43 ›› Issue (10): 121-135.doi: 10.12204/j.issn.1000-7229.2022.10.012

• Smart Grid • Previous Articles     Next Articles

Joint Robust Expansion Planning of Transmission Network and Communication Network Considering Extreme Scenarios

ZHANG Yiwei(), LIU Wenxia(), ZHANG Shuai(), WAN Haiyang(), HUANG Shaofeng()   

  1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China
  • Received:2022-04-22 Online:2022-10-01 Published:2022-09-29
  • Contact: LIU Wenxia E-mail:z_yi_wei@163.com;liuwenxia001@163.com;zsrfkl@ncepu.edu.cn;1398024216@163.com;huangsfncepu@163.com
  • Supported by:
    National Science and Technology Major Project(2020YFC0827001)


In order to meet the economic premise and minimize the risk of large area outages caused by the coupling of failures in power and communication networks in extreme scenarios, this paper proposes a robust extended planning model with two layers (main layer and sub-layer) of cyber-physical cooperation, taking into account the structural convergence and functional coupling characteristics of the dual network. Firstly, the main-layer model for cooperative optimization of dual-network line and communication service routing is established with the objectives of economy and minimum loss of load under extreme scenarios; in the sub-layer model, the multiple fault sets of power/communication lines are constructed taking into account the common cause failure modes caused by line structure coupling, and the impact of communication failure on the emergency dispatch of power system is considered, and the calculation model of minimum loss of load under the worst extreme scenarios is established based on the max-min criterion. Then, the column and constraint generation algorithm is used to decouple the two-layer model. Finally, simulation analysis is conducted on the basis of IEEE 14-node information physical system. The results show that the collaborative planning model proposed in this paper can optimize the dual-network structure with economical and reasonable investment, reduce the impact of fault cascade in communication system, and improve the resistance of the coupled system to face extreme events.

Key words: electric cyber-physical system, extreme scenarios, joint expansion planning, robust optimization

CLC Number: