Power grid observability redundancy analysis under communication constraints

You, Minglei; Liu, Qitao; Jiang, Jing; Sun, Hongjian

Abstract

The Phasor Measurement Units (PMUs) have largely empowered the current and future smart grid applications, which play important roles in both power systems and Information and Communication Technology (ICT) systems within smart grid. They can provide real-time power grid monitoring and control, which are the fundamentals of various smart grid applications, such as state estimation and demand response. Correspondingly, it also imposes strict time performance requirement on the communication network formed by the PMUs. If the PMU measurements cannot reach the control center within a certain latency bound, it will be invalid for the calculation and may compromise the observability performance of the whole power grid as well as related smart grid applications. In order to provide a statistical guaranteed service from ICT systems to realize critical monitoring and controls, a PMU communication network resource allocation method has been proposed to maximize the overall power grid observability redundancy. Simulation results show that the proposed method can improve the power grid observability redundancy performance with given communication network resources.

Citation

You, M., Liu, Q., Jiang, J., & Sun, H. (2017). Power grid observability redundancy analysis under communication constraints. In 2017 IEEE/CIC International Conference on Communications in China (ICCC). https://doi.org/10.1109/iccchina.2017.8330320

• Conference Name: 2017 IEEE/CIC International Conference on Communications in China (ICCC)
• Conference Location: Qingdao, China
• Start Date: Oct 22, 2017
• End Date: Oct 24, 2017
• Acceptance Date: Sep 7, 2017
• Online Publication Date: Apr 5, 2018
• Publication Date: 2017-10
• Deposit Date: Oct 28, 2021
• Publisher: Institute of Electrical and Electronics Engineers
• Book Title: 2017 IEEE/CIC International Conference on Communications in China (ICCC)
• ISBN: 9781538645031
• DOI: https://doi.org/10.1109/iccchina.2017.8330320
• Public URL: https://nottingham-repository.worktribe.com/output/6537568
• Publisher URL: https://ieeexplore.ieee.org/document/8330320