Multi‐objective PMU placement optimization considering the placement cost including the current channel allocation and state estimation accuracy
Author:
Affiliation:
1. Kyushu Institute of Technology Kitakyushu Japan
2. Universiti Putra Malaysia Seri Kembangan Malaysia
Publisher
Wiley
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/eej.23208
Reference16 articles.
1. Power System Observation by using Synchronized Phasor Measurements as a Smart Device
2. State Estimlatjon with Phasor Measurements
3. Power system observability with minimal phasor measurement placement
4. Taxonomy of PMU Placement Methodologies
5. AboodHG SreeramV.A review on phasor measurement units placement for state estimation studies. Australasian Universities Power Engineering Conference (AUPEC) Australia 2014.
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1. Perspective Chapter: Optimizing μ-PMU Placement for Estimating Asymmetrical Distribution Network States – Introducing a Novel Stochastic Two-Stage Approach;Applications and Optimizations of Kalman Filter and Their Variants;2024-04-29
2. Analysis of Bus Vulnerability Conducted Using a Synchronized Phasor Measurement Unit in Order to Achieve the Maximum Observability;Transactions on Energy Systems and Engineering Applications;2023-09-21
3. State Estimation of Asymmetrical Distribution Networks by μ-PMU Allocation: A Novel Stochastic Two-stage Programming;Electric Power Systems Research;2022-12
4. PMU placement with multi-objective optimization considering resilient communication infrastructure;International Journal of Electrical Power & Energy Systems;2022-10
5. The Challenges of Low Voltage Distribution System State Estimation—An Application Oriented Review;Energies;2021-08-28
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