| Autor: |
Camilo Andres Ordonez M, Antonio Gomez-Exposito, Guillermo E. Vinasco M, Jose Maria Maza-Ortega |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Journal of Modern Power Systems and Clean Energy, Vol 10, Iss 5, Pp 1374-1384 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2196-5420 |
| DOI: |
10.35833/MPCE.2021.000265 |
| Popis: |
Relieving network congestions is a critical goal for the safe and flexible operation of modern power systems, especially in the presence of intermittent renewables or distributed generation. This paper deals with the real-time coordinated operation of distributed static series compensators (DSSCs) to remove network congestions by suitable modifications of the branch reactance. Several objective functions are considered and discussed to minimize the number of the devices involved in the control actions, the total losses or the total reactive power exchanged, leading to a non-convex mixed-integer non-linear programming problem. Then, a heuristic methodology combining the solution of a regular NLP with k-means clustering algorithm is proposed to get rid of the binary variables, in an attempt to reduce the computational cost. The proposed coordinated operation strategy of the DSSCs is tested on several benchmark systems, providing feasible and sufficiently optimal solutions in a reasonable time frame for practical systems. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
