Title :
A decentralised DC optimal power flow model
Author :
Jacobo, Jaime Cerda ; De Roure, David
Author_Institution :
Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton
Abstract :
The DC optimal power flow(DC-OPF) is at the heart of the actual centralized market clearing mechanisms used in Electrical Power Markets. Through the last decade several distributed clearing mechanisms have been proposed in order to decentralise it. A common link in these approaches is that they address this problem as a decomposition of the whole system into subareas. Based on this decomposition they propose alternative methods to reach the global solution. However, in order to achieve their solution they add some constraints to the original problem. This document proposes a decentralized model for the DC-OPF which works in a bottom-up fashion without any additional constraint. The system is decomposed into its basic components. Next, by using the auxiliary problem principle a decentralized solution to the OPF is proposed. The application of this decomposition has a positive side effect: the complexity of the system, as a result of the network interconnectivity, is converted into local intercommunication tasks.
Keywords :
load flow; power markets; power system economics; power system interconnection; DC-OPF; bottom-up fashion; centralized market clearing mechanisms; decentralised DC optimal power flow model; distributed clearing mechanisms; electrical power markets; local intercommunication tasks; network interconnectivity; DC generators; Environmental economics; Load flow; Power generation; Power generation economics; Power markets; Power system economics; Power system interconnection; Power systems; Power transmission lines; Decentralised Systems; Distributed Constrained Optimisation; Interconnected power systems; Power Systems Economics;
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
DOI :
10.1109/DRPT.2008.4523455