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Formulation of Three-Phase State Estimation Problem Using a Virtual Reference
- Source :
- IEEE Transactions on Power Systems. 36:214-223
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- State Estimation (SE) is the backbone of modern Energy Management System (EMS) due its capability of processing real time measurements and provide reliable information to system operators. Since its introduction to power systems in the 70's, SE has been widely used in transmission networks. Distribution grids on the other hand lack sufficient number of real time measurements, and for that reason SE has not been widely implemented on these systems. The recent increase in the number of renewable energy sources connected to the grid at lower voltage levels, the advent of Distribution Automation (DA) and Smart Grids necessitate closer monitoring of distribution networks and thus forcing utilities to upgrade their operations and deploy Advanced Distribution Management Sytems (ADMS). Therefore, Distribution System State Estimation (DSE) is paramount to provide real time monitoring of active distribution grids. This papers investigates the formulation of the three-phase distribution state estimation where in the most general case, none of the system buses may have balanced three phase voltages. In such a case, the choice and definition of the slack bus need to be revisited. Most of the existing work arbitrarily assign the root bus of the distribution feeder as the balanced three-phase reference which may not be realistic for today's active distribution systems. This paper addresses this shortcoming of the existing SE formulations by introducing a virtual reference bus. The proposed approach is effectively validated by simulations carried out on distribution test systems.
- Subjects :
- Computer science
business.industry
020209 energy
Distributed computing
Energy Engineering and Power Technology
Distribution management system
02 engineering and technology
Grid
Automation
Energy management system
Slack bus
Electric power system
Smart grid
0202 electrical engineering, electronic engineering, information engineering
State (computer science)
Electrical and Electronic Engineering
business
Subjects
Details
- ISSN :
- 15580679 and 08858950
- Volume :
- 36
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Power Systems
- Accession number :
- edsair.doi...........9e99e77ba9ae95be8099a702f4f2b525