Collaborative planning of resilient backbone grids and PMU placement for power systems. (October 2021)

• Record Type: Journal Article
• Authors: Bai, Yansong; Li, Shaoyan; Gu, Xueping; Zhou, Guangqi
• Is Part Of: International journal of electrical power & energy systems. Volume 131(2021)
• Publication Date: 2021-10
• Subjects: Backbone grid -- PMU placement -- Global observability -- Disaster-resisting -- Collaborative planning; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2021.107106
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: We formulate a resilient backbone grid model in detail. We propose a method to map constraints of nodes and lines so as to guarantee the global PMU-observability of not only the whole network but also the backbone grid according to the principle of the optimal PMUs placement (OPP). We deal with the solutions that do not satisfy the AC power flow by adding linear-cut constraints. The analysis shows the collaborative planning method can not only ensure the global observability of both the whole network and the backbone grid but also reduce the differentiated investment and PMU-placement cost. Abstract: Constructing a resilient backbone grid can enhance the power supply capability and disaster resistance ability of power systems in some disaster scenarios. At the same time, it is of great importance to guarantee the global observability of power systems for real-time control and operation management during disasters. On the basis of these two requirements, a mixed integer linear programming (MILP) model is proposed to co-optimize backbone grid planning and PMU placement. Firstly, a backbone grid model is formulated with considering the node-importance and line-importance rate index. The disaster-resisting ability of power systems can be promoted by hardening important nodes and lines selectively. Meanwhile, according to the principle of the optimal PMUs placement (OPP), a method to map constraints of nodes and lines is proposed in order to guarantee the global PMU-observability of not only the whole network but also the backbone grid. Then, the solutions that do not satisfy the AC power flow will be removed by adding linear-cut constraints. Finally, the simulation was demonstrated on New England 10-unit 39-bus and IEEE 118-bus systems to prove the validity of the proposed method. The results show that the collaborative planning method can not only ensure the global observability of both the whole network and the backbone grid but also reduce the differentiated investment and PMU-placement cost.