Optimal power flow in electrical grids based on power routers

In recent years, there has been an exploration of innovative electric grid concepts centered around power routers, devices capable of controlling power flows as desired. One of which is the Power Router Grid, a novel high-controllable network design fully based on power routers. Its ability to arbit...

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Detalles Bibliográficos
Autores: Gadelha Teixeira Filho, Vinicius, Bullich Massagué, Eduard|||0000-0003-4603-1868, Sumper, Andreas|||0000-0002-5628-1660
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/414799
Acceso en línea:https://hdl.handle.net/2117/414799
https://dx.doi.org/10.1016/j.epsr.2024.110581
Access Level:acceso abierto
Palabra clave:Electric power systems
Electric networks
Optimal power flow
Power router
Energy router
Distribution grid
Modeling
Smart grid
Second-order cone
Power router grid
Branch-flow model
Pyomo
Xarxes elèctriques
Sistemes de distribució d'energia elèctrica
Àrees temàtiques de la UPC::Enginyeria elèctrica
Descripción
Sumario:In recent years, there has been an exploration of innovative electric grid concepts centered around power routers, devices capable of controlling power flows as desired. One of which is the Power Router Grid, a novel high-controllable network design fully based on power routers. Its ability to arbitrarily change power flows inside controllable lines raises the challenge of determining the optimal operation within such systems. This paper aims to push further the analysis of the operation and benefits of such networks by proposing a novel optimization model tailored for power router grids based on the most recent literature for the convexification of optimal power flows. Moreover, it demonstrated that radial-based models can be expanded for grids meshed through power routers. The model presented is also convex in the form of a second-order cone, ensuring a global optimum for diverse grid configurations. It has been implemented in Python using the PYOMO modeling language and applied to three case studies investigating the effects of power router operation modes on the grid’s optimal operation and associated costs. Results show that the definition of the power router grid design and the ports operation mode must be carefully decided when demand uncertainty of over 25% is taken into consideration. Moreover, controlling power flow near lines of higher impedance can lead up to a 21% increase in line losses.