Allocation of PMU channels at substations for topology processing and state estimation

Müller, Heloisa H.; Castro, Carlos A.; Dotta, Daniel

doi:10.1049/iet-gtd.2019.0760

Cited by 7 publications

(1 citation statement)

References 28 publications

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“…The attack-resistant OPP technique proposed in this research uses reinforcement learning guided tree search to arrange PMUs in a specific order, with the exploration of placement orders being done via reinforcement learning’s sequential decision-making [ 14 ]. The unique aspect of this work is positioning the PMUs so that weak buses can be observed with the most significant possible number of PMUs to determine the system’s full observability and stability under various conditions, such as taking zero injection nodes into account and experiencing a single PMU outage in [ 15 ]. The two distinct stages: in phase 1, the coordination sites in the search tree are examined by depth-first search, and in phase 2, the primary simplex is configured using the basic feasible solution from phase 1 till the global optimum is identified in [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Smart distribution network voltage estimation using PMU technology considering zero injection constraints

Tangi,

Gaonkar,

Nuvvula

et al. 2024

PLoS ONE

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To properly control the network of the power system and ensure its protection, Phasor measurement units (PMUs) must be used to monitor the network’s operation. PMUs can provide synchronized real-time measurements. These measurements can be used for state estimation, fault detection and diagnosis, and other grid control applications. Conventional state estimation methods use weighting factors to balance the different types of measurements, and zero injection measurements can lead to large weighting factors that can introduce computational errors. The offered methods are designed to ensure that these zero injection criteria can be strictly satisfied while calculating the voltage profile and observability of the various distribution networks without sacrificing computing efficiency. The proposed method’s viability is assessed using standard IEEE distribution networks. MATLAB coding is used to simulate the case analyses. Overall, the study provides a valuable contribution to the field of power distribution system monitoring and control by simplifying the process of determining the optimal locations for PMUs in a distribution network and assessing the impact of ZI buses on the voltage profile of the system.

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Section: Introductionmentioning

confidence: 99%