Congestion Managment for Cost-effective Power Grid Load Balancing using FACTS and Energy Storage Devices allocated via Grid Curvature Means
| Autor: | Reza Banirazi, Edmond A. Jonckheere, Eugenio Grippo |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
020209 energy 020208 electrical & electronic engineering Load balancing (electrical power) 02 engineering and technology Load balancing (computing) Curvature Grid Energy storage Flexible AC transmission system Control theory 0202 electrical engineering electronic engineering information engineering Centrality Voltage |
| Zdroj: | ACC |
| DOI: | 10.23919/acc.2019.8814693 |
| Popis: | A new method for congestion management is introduced based on a new concept of graph curvature. Fundamentally, a new curvature concept is presented and utilized to detect congestion within the power grid. From the premise that a negative curvature property means that the grid is prone to congestion in the sense that some lines carry a significant amount of power compared to the other lines, the congested lines are identified using a novel curvature-driven centrality measure. Once the congested areas/lines are identified, methods to control/mitigate congestion via curvature maximization are presented and revolve around the idea of deploying FACTS (Flexible Alternating Current Transmission System) devices and extra loads-storage elements-that drain the power overflow away from the congestion areas in such a way as to minimize the cost of energy production while maintaining stability via phase angle and voltage constraints. The same method also embodies control/mitigation of line loading relative to their thermal ratings, by incorporating constraints on the power flowing through the lines. |
| Databáze: | OpenAIRE |
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