Distributed routing algorithms to manage power flow in agent-based active distribution network
Paper i proceeding, 2010

The current transition from passive to active electric distribution networks comes with problems on bi-directional power flow in the network and the uncertainty in the forecast of power generation from grid-connected renewable and distributed energy sources. The power flow management would need to be distributed, flexible, and intelligent in order to cope with these challenges. Considering the optimal power flow (OPF) problem as a minimum cost flow represented with the graph, this paper applies a cost-scaling push-relabel algorithm in order to solve the OPF in a distributed agent environment. The algorithm’s performance is compared with the successive shortest path algorithm developed in our previous work. The simulation is implemented for both meshed and radial networks. The simulation results have shown the advantages of the cost- scaling push-relabel algorithm over the shortest path algorithm in the radial networks with respect to significantly reduced number of exchanged messages on the agent platform, and thus the reduced time for calculation. This will be of great importance if the method is to be applied to a large system.

Optimal power flow

Graph theory

Smart grid

Costs-caling

Active distribution network

Push-relabel

Multi-agent system

Författare

Phuong Nguyen

Technische Universiteit Eindhoven

Wil Kling

Technische Universiteit Eindhoven

Georgios Georgiadis

Chalmers, Data- och informationsteknik, Nätverk och system

Marina Papatriantafilou

Chalmers, Data- och informationsteknik, Nätverk och system

Anh Tuan Le

Chalmers, Energi och miljö, Elkraftteknik

Lina Bertling Tjernberg

Chalmers, Energi och miljö, Elkraftteknik

IEEE PES Conference on Innovative Smart Grid Technologies Europe, Gothenburg, Sweden, October 10-13, 2010

5638951

Ämneskategorier

Annan elektroteknik och elektronik

DOI

10.1109/ISGTEUROPE.2010.5638951

ISBN

978-142448510-9

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Senast uppdaterat

2018-03-20