N
Nikolaos M. Manousakis
Researcher at National Technical University of Athens
Publications - 41
Citations - 1611
Nikolaos M. Manousakis is an academic researcher from National Technical University of Athens. The author has contributed to research in topics: Observability & Phasor. The author has an hindex of 16, co-authored 34 publications receiving 1313 citations. Previous affiliations of Nikolaos M. Manousakis include National and Kapodistrian University of Athens & University of the West.
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Taxonomy of PMU Placement Methodologies
TL;DR: In this article, a thorough description of the state of the art of the optimization methods applied to the OPP problem, analyzing and classifying current and future research trends in this field is presented.
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Power System Real-Time Monitoring by Using PMU-Based Robust State Estimation Method
Junbo Zhao,Gexiang Zhang,Kaushik Das,George N. Korres,Nikolaos M. Manousakis,Avinash Kumar Sinha,Zhengyou He +6 more
TL;DR: An adaptive weight assignment function to dynamically adjust the measurement weight based on the distance of big unwanted disturbances from the PMU measurements is proposed to increase algorithm robustness and a statistical test-based interpolation matrix H updating judgment strategy is proposed.
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Numerical observability method for optimal phasor measurement units placement using recursive Tabu search method
TL;DR: In this article, a recursive Tabu search (RTS) method is proposed to solve the optimal PMU placement problem, which aims to find the minimum number of PMUs and their corresponding locations in order to achieve full network observability.
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State estimation and bad data processing for systems including PMU and SCADA measurements
TL;DR: In this article, a non-linear weighted least squares estimator was developed by modeling the current phasor measurements either in rectangular or in polar coordinates and comparing the two approaches.
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A Weighted Least Squares Algorithm for Optimal PMU Placement
TL;DR: In this article, the optimal placement of phasor measurement units (PMU) for complete power system observability is formulated as a quadratic minimization problem with continuous decision variables subject to nonlinear observability constraints.