A Review on Distribution System State Estimation Algorithms
The modern energy requirements and the orientation towards Renewable Energy Sources (RES) integration promote the transition of distribution grids from passive, unidirectional, fossil fuel-based into active, bidirectional, environmental-friendly architectures. For this purpose, advanced control algo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/21/11073 |
| _version_ | 1797469224321417216 |
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| author | Maria Fotopoulou Stefanos Petridis Ioannis Karachalios Dimitrios Rakopoulos |
| author_facet | Maria Fotopoulou Stefanos Petridis Ioannis Karachalios Dimitrios Rakopoulos |
| author_sort | Maria Fotopoulou |
| collection | DOAJ |
| description | The modern energy requirements and the orientation towards Renewable Energy Sources (RES) integration promote the transition of distribution grids from passive, unidirectional, fossil fuel-based into active, bidirectional, environmental-friendly architectures. For this purpose, advanced control algorithms and optimization processes are implemented, the performance of which relies on the Distribution System State Estimation (DSSE). DSSE algorithms provide the Distribution System Operator (DSO) with detailed information regarding the network’s state in order to derive the optimal decisions. However, this task is quite complex as the distribution system has inherent unbalance issues, often faces lack of adequate measurements, etc. The purpose of this paper is to review the DSSE algorithms that a system can incorporate with emphasis on their particular requirements, the mathematical formulation of the problem, the analysis of the existing model-based and data-driven approaches and the recommended solutions regarding observability issues, bad data detection, and meter placement strategies. Furthermore, special attention is paid to DSSE applications, including the use cases where they can be deployed, the approaches that are usually followed, the integrated distributed power supply units, as well as their future trends and challenges, thus highlighting their business-related aspects. |
| first_indexed | 2024-03-09T19:18:20Z |
| format | Article |
| id | doaj.art-a06a47e5348446b4858adda20444a671 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T19:18:20Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a06a47e5348446b4858adda20444a6712023-11-24T03:37:35ZengMDPI AGApplied Sciences2076-34172022-11-0112211107310.3390/app122111073A Review on Distribution System State Estimation AlgorithmsMaria Fotopoulou0Stefanos Petridis1Ioannis Karachalios2Dimitrios Rakopoulos3Centre for Research and Technology Hellas, Chemical Process and Energy Resources Institute, 15125 Athens, GreeceCentre for Research and Technology Hellas, Chemical Process and Energy Resources Institute, 15125 Athens, GreeceDepartment of Computer Engineering and Informatics Graduate, University of Patras, 26504 Patras, GreeceCentre for Research and Technology Hellas, Chemical Process and Energy Resources Institute, 15125 Athens, GreeceThe modern energy requirements and the orientation towards Renewable Energy Sources (RES) integration promote the transition of distribution grids from passive, unidirectional, fossil fuel-based into active, bidirectional, environmental-friendly architectures. For this purpose, advanced control algorithms and optimization processes are implemented, the performance of which relies on the Distribution System State Estimation (DSSE). DSSE algorithms provide the Distribution System Operator (DSO) with detailed information regarding the network’s state in order to derive the optimal decisions. However, this task is quite complex as the distribution system has inherent unbalance issues, often faces lack of adequate measurements, etc. The purpose of this paper is to review the DSSE algorithms that a system can incorporate with emphasis on their particular requirements, the mathematical formulation of the problem, the analysis of the existing model-based and data-driven approaches and the recommended solutions regarding observability issues, bad data detection, and meter placement strategies. Furthermore, special attention is paid to DSSE applications, including the use cases where they can be deployed, the approaches that are usually followed, the integrated distributed power supply units, as well as their future trends and challenges, thus highlighting their business-related aspects.https://www.mdpi.com/2076-3417/12/21/11073distribution system state estimation (DSSE)smart gridunbalanced gridweighted least square (WLS) methoddata-driven approachesobservability |
| spellingShingle | Maria Fotopoulou Stefanos Petridis Ioannis Karachalios Dimitrios Rakopoulos A Review on Distribution System State Estimation Algorithms Applied Sciences distribution system state estimation (DSSE) smart grid unbalanced grid weighted least square (WLS) method data-driven approaches observability |
| title | A Review on Distribution System State Estimation Algorithms |
| title_full | A Review on Distribution System State Estimation Algorithms |
| title_fullStr | A Review on Distribution System State Estimation Algorithms |
| title_full_unstemmed | A Review on Distribution System State Estimation Algorithms |
| title_short | A Review on Distribution System State Estimation Algorithms |
| title_sort | review on distribution system state estimation algorithms |
| topic | distribution system state estimation (DSSE) smart grid unbalanced grid weighted least square (WLS) method data-driven approaches observability |
| url | https://www.mdpi.com/2076-3417/12/21/11073 |
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