IGDT-based dynamic programming of smart distribution network expansion planning against cyber-attack

• Published in: International journal of electrical power & energy systems 2022-07, Vol.139, p.108006, Article 108006
• Main Authors: Amirpour Giglou, Peyman, Jannati-Oskuee, Mohammad-Reza, Fateh, Hadi, Najafi-Ravadanegh, Sajad
• Format: Article
• Language: English
• Subjects: Cyber attack; Demand response; DisPOS; Expansion planning; Reconfiguration; Resilience; Smart distribution network
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2022.108006

Power supply security is the vital driver in advent and development of the smart distribution networks (SDNs). Traditionally, SDN expansion planning (SDNEP) is used to identify the size, site, and time of the installation of new equipment or replacement of the pre-existent facilities to optimally satisfy electricity load demand that is increasing every year appropriately and cost-effectively while dealing with all the technical and operational constraints and needs. In SDNs, communication has a crucial role, but, cyber-physical security of the communication system is exceedingly vulnerable to cyber-attacks (CAs), especially in the consumer's sector. So, this paper aims to propose an approach for designing cyber-secure SDN (CSDN) by considering the problem as a dynamic model of tri-level cyber-secure SDNEP (CSDNEP) program. The procedure includes the design of SDN as ameshed topology equipped by multi-type switching devices, utilization of multi-type distributed generations, and demand response. The chaotic status of renewable resources, load and its market price, and ZIP modeling well incorporate into the problem. Also, for evaluation of different CSDNEP strategies, a risk-based method pivoting on information gap decision theory (IGDT) is applied. To size up the efficiency of CSDNEP, computer simulation is carried out on a large scale SDN and the results are touched upon.