NDLI: Probabilistic multi-objective state estimation-based PMU placement in the presence of bad data and missing measurements

Content Provider	IET Digital Library
Author	Zargar, Saman Farhang Farsangi, Malihe Maghfoori Zare, Mohsen
Abstract	This study proposes a multi-objective probabilistic coordinated method for state estimation (SE) in a power system by optimal placement of phasor measurement units (PMUs) in the presence of bad data and missing measurements. For this purpose, using a three-stage SE approach and a linear estimator, the conventional and PMU measurements are used simultaneously for SE and then, the obtained estimates are integrated through estimation fusion theory. Subsequently, the proposed optimal PMU placement (OPP) method finds out the minimum number and the optimal location of PMUs required to achieve the desired accuracy of the power system SE. Furthermore, a 2m+1 point estimated method is used to model the uncertainty of measurements to increase the adaptation with realistic operation condition. A modified Jaya algorithm is formulated to minimises four objective functions in an effective multi-objective method where the network constraints are satisfied. The standard IEEE 30- and 57-bus systems are used to evaluate the efficiency of the proposed method. To investigate different aspects of the proposed formulation, different cases are proposed and the results obtained are compared. The obtained results show that the determined OPP by the proposed method can eliminate the effect of conventional bad measuring data and missing measurement devices.
Starting Page	3042
Ending Page	3051
Page Count	10
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 15, Aug (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.1317
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-04-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2m+1 Point Estimated Method 57-bus Test Systems Bad Data Combinatorial Mathematics Conventional Bad Measuring Data Conventional Measurement Conventional PMU Placement Problem Estimation Fusion Theory Linear Estimator Minimises Four Objective Function Missing Measurement Missing Measurement Device Multiobjective Method Multiobjective Probabilistic Coordinated Method Optimal Location Optimal Placement Optimal PMU Placement Method Optimisation Optimisation Technique Phase And Gain Measurement Phase Measurement Phasor Measurement Phasor Measurement Unit PMU Measurement Power System Measurement Power System Measurement And Metering Power System SE Power System State Estimation Probabilistic Multiobjective State Estimation Probability Reduced Estimation Error Sensor Fusion Size 2.0 M State Estimation Statistics Three-stage SE Approach
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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