Curvature, Entropy, Congestion Management and the Power Grid

Autor:	Edmond A. Jonckheere, Reza Banirazi, Eugenio Grippo
Rok vydání:	2019
Předmět:	Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Mathematics::Differential Geometry Congestion management Negative curvature Power grid Curvature Grid Topology ComputingMethodologies_COMPUTERGRAPHICS Voltage
Zdroj:	CCTA
DOI:	10.1109/ccta.2019.8920664
Popis:	This work develops a congestion management method for the power grid utilizing the notion of curvature. It initially uses the curvature concept to detect areas prone to congestion (negative curvature areas) and it subsequently applies load balancing techniques (through FACTS devices) and load deployment (storage devices) to maximize curvature (grid decongestion) and cost-effectively minimize the generated energy throughout the grid, while at the same time guaranteeing stability under phase angle and voltage constraints. Two different curvature definitions are compared (Ollivier-Ricci Curvature and Effective Resistance Curvature), and an entropy concept suitable to power grid is introduced as a new measure to analyze grid congestion.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b682da8dac39284086fb09a1c7cfa7d2 https://doi.org/10.1109/ccta.2019.8920664 Zobrazit plný text záznamu