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Groebner bases algorithm for optimal PMU placement

https://doi.org/10.1016/j.ijepes.2019.105427

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Synchronized Phasor Measurements and Their Applications

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Introduction to Groebner Bases

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ILP-Based Optimal PMU Placement with the Inclusion of the Effect of a Group of Zero-Injection Buses

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Improving the performance of power system protection using wide area monitoring systems

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An integer-arithmetic algorithm for observability analysis of systems with SCADA and PMU measurements

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Optimal placement of PMUs with limited number of channels

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Optimal PMU placement for full network observability using Tabu search algorithm

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An optimal PMU placement technique for power system observability

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Optimal PMU placement method for complete topological observability of power system under various contingencies

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Optimal PMU placement using topology transformation method in power systems

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Bruno Buchberger’s PhD thesis 1965: An algorithm for finding the basis elements of the residue class ring of a zero dimensional polynomial ideal

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Optimal placement of PMUS in power systems using binary integer programming and genetic algorithm

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Optimal phasor measurement unit placement for numerical observability in the presence of conventional measurements using semi‐definite programming

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Genetic algorithm‐based phasor measurement unit placement method considering observability and security criteria

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Optimal PMU placement for full observability of the power network with maximum redundancy using modified binary cuckoo optimisation algorithm

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A Novel Topological Genetic Algorithm-Based Phasor Measurement Unit Placement and Scheduling Methodology for Enhanced State Estimation

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Optimal Phasor Measurement Unit Placement for Numerical Observability Using Branch-and-Bound and a Binary-Coded Genetic Algorithm

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An Optimal PMU Placement With Reliable Zero Injection Observation

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Impact of network sparsity on strategic placement of phasor measurement units with fixed channel capacity

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Optimal PMU placement for state estimation robustness

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Optimal PMU placement for topological observability of power system: Robust measurement design in the space of phasor variables

inferredcites →https://doi.org/10.1109/issp.2013.6526867openalex-snapshot

Optimal placement of PMUs using differential evolution

inferredcites →https://doi.org/10.1109/naps.2009.5484033openalex-snapshot

The application of the Groebner Basis technique in power flow study

inferredcites →https://doi.org/10.1109/naps.2015.7335254openalex-snapshot

Unified PMU placement algorithm for power systems

inferredcites →https://doi.org/10.1109/pes.2009.5275529openalex-snapshot

Placement of PMUs with channel limits

inferredcites →https://doi.org/10.1109/pesgm.2012.6345003openalex-snapshot

Optimal incremental placement of PMUs for power system observability

inferredcites →https://doi.org/10.1109/pesgm.2015.7286479openalex-snapshot

Analysis of power system oscillation frequency using Differential Groebner Basis and the Harmonic Balance Method

inferredcites →https://doi.org/10.1109/psce.2011.5772490openalex-snapshot

An improved model in optimal PMU placement considering sensitivity analysis

inferredcites →https://doi.org/10.1109/tpel.2015.2447555openalex-snapshot

Selective Harmonic Elimination With Groebner Bases and Symmetric Polynomials

inferredcites →https://doi.org/10.1109/tpwrd.2005.855457openalex-snapshot

Phasor Measurement Unit Placement Techniques for Complete and Incomplete Observability

inferredcites →https://doi.org/10.1109/tpwrd.2008.2008430openalex-snapshot

Placement of Synchronized Measurements for Power System Observability

inferredcites →https://doi.org/10.1109/tpwrd.2008.919046openalex-snapshot

Optimal Multistage Scheduling of PMU Placement: An ILP Approach

inferredcites →https://doi.org/10.1109/tpwrd.2013.2264022openalex-snapshot

Observability of Hybrid AC/DC Power Systems With Variable-Cost PMUs

inferredcites →https://doi.org/10.1109/tpwrs.2008.926475openalex-snapshot

Generalized Integer Linear Programming Formulation for Optimal PMU Placement

inferredcites →https://doi.org/10.1109/tpwrs.2009.2036474openalex-snapshot

Robust Measurement Design by Placing Synchronized Phasor Measurements on Network Branches

inferredcites →https://doi.org/10.1109/tpwrs.2011.2130544openalex-snapshot

Joint Placement of Phasor and Power Flow Measurements for Observability of Power Systems

inferredcites →https://doi.org/10.1109/tpwrs.2012.2185959openalex-snapshot

Optimal Placement of Phasor Measurement Units via Convex Relaxation

inferredcites →https://doi.org/10.1109/tpwrs.2013.2242698openalex-snapshot

A Weighted Least Squares Algorithm for Optimal PMU Placement

inferredcites →https://doi.org/10.1109/tsg.2011.2167163openalex-snapshot

Optimal PMU Placement by an Equivalent Linear Formulation for Exhaustive Search

inferredcites →https://doi.org/10.1109/tsg.2015.2461558openalex-snapshot

Integrated Model Considering Effects of Zero Injection Buses and Conventional Measurements on Optimal PMU Placement

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Finiteness of the Odd Perfect and Primitive Abundant Numbers with n Distinct Prime Factors

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Ideals, varieties, and algorithms: an introduction to computational algebraic geometry and commutative algebra

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A multi-objective grey wolf optimizer (GWO)-based multi-layer perceptrons (MLPs) trainer for optimal PMUs placement

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Strategic Deployment of Phasor Measurement Units in Power Networks Using Binary Brown-Bear Optimization Algorithm

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PMU monitoring equipment deployment method based on swarm intelligence algorithm

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Optimal Placement of PMUs and PDCs using Parrot Optimization Algorithm

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Binary Artemisinin Optimization Algorithm for Optimal Phasor Measurement Unit Placement

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Optimal Placement of PMUs Using AO Algorithm by Considering Data Traffic and Cost Installation Indices in Smart Grid

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Optimal PMU Placement via Quantum Optimization

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Allocation of Optimal PMUs for Power System Observability Using PROMETHEE Approach

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

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Optimal PMU Placement for Türkiye 400 kV Interconnected Power System Observability with Dragonfly Algorithm

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Avoiding the Maratos Effect in Non-Convex Optimization Through Piecewise Convexity: A Case Study in Optimal PMU Placement Problem

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