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Power grid observability redundancy analysis under communication constraints.

You, Minglei and Liu, Qitao and Jiang, Jing and Sun, Hongjian (2018) 'Power grid observability redundancy analysis under communication constraints.', in 2017 IEEE/CIC International Conference on Communications in China (ICCC) : 22-24 Oct. 2017, Qingdao, China ; proceedings. Piscataway: IEEE, pp. 1-5.


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.

Item Type:Book chapter
Full text:(AM) Accepted Manuscript
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Publisher statement:© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Date accepted:21 July 2017
Date deposited:29 August 2017
Date of first online publication:05 April 2018
Date first made open access:No date available

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