NDLI: Robust optimisation-based state estimation considering parameter errors for systems observed by phasor measurement units

Content Provider	IET Digital Library
Author	Kabiri, Mehdi Amjady, Nima
Abstract	This study presents a new robust state estimation (SE) approach for power systems that are monitored by synchronised phasor measurements. The proposed robust SE utilises the least absolute value (LAV) of residuals to determine the system state. Although conventional deterministic LAV-based SE is robust against bad measurements, it is vulnerable with respect to the network parameters’ errors. In other words, the conventional LAV-SE method is not robust against the network parameters’ errors and these errors can make the SE results inaccurate. The proposed robust SE aims at solving this problem of the conventional LAV-SE. Robust optimisation, strong duality theorem, and Big-M linearisation technique have been used to construct the proposed SE approach, which is robust against the network parameters’ errors. Additionally, the proposed robust SE is finally formulated as a tractable mixed-integer linear programming optimisation problem. Comprehensive numerical experiments and a probabilistic evaluation approach are presented to evaluate the effectiveness of the proposed robust SE compared to the conventional deterministic SE in the presence of the uncertainty source of network parameters’ errors.
Starting Page	1915
Ending Page	1921
Page Count	7
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 8, Apr (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.1128
Journal	IET Generation, Transmission & Distribution
Publisher Date	2018-01-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Big-M Linearisation Technique Integer Programming LAV-SE Method Least Absolute Value Linear Programming Linearisation Technique Optimisation Technique Parameter Error Phasor Measurement Phasor Measurement Unit Power System Measurement And Metering Power System State Estimation Probabilistic Evaluation Approach Probability Robust Optimisation Robust Optimisation-based State Estimation Robust SE Statistics Synchronised Phasor Measurement Tractable Mixed-integer Linear Programming Optimisation Problem
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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

Robust wide-area impedance-based fault location method utilising LAV estimator

Linear LAV-based state estimation integrating hybrid SCADA/PMU measurements

LAV Based Robust State Estimation for Systems Measured by PMUs

Power system load modelling under large and small disturbances using phasor measurement units data

Contingency constrained phasor measurement units placement with n − k redundancy criterion: a robust optimisation approach

Reliability-based phasor measurement unit placement in power systems considering transmission line outages and channel limits

Identification and estimation of equivalent area parameters using synchronised phasor measurements

Optimal utilisation of PMU measurements in power system hybrid state estimators

Robust optimisation-based state estimation considering parameter errors for systems observed by phasor measurement units

Similar Documents

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

Robust wide-area impedance-based fault location method utilising LAV estimator

Linear LAV-based state estimation integrating hybrid SCADA/PMU measurements

LAV Based Robust State Estimation for Systems Measured by PMUs

Power system load modelling under large and small disturbances using phasor measurement units data

Contingency constrained phasor measurement units placement with n − k redundancy criterion: a robust optimisation approach

Reliability-based phasor measurement unit placement in power systems considering transmission line outages and channel limits

Identification and estimation of equivalent area parameters using synchronised phasor measurements

Optimal utilisation of PMU measurements in power system hybrid state estimators

Robust optimisation-based state estimation considering parameter errors for systems observed by phasor measurement units