Title :
Optimal power flow for autonomous regional active network management system
Author :
Ahmadi, Ali R. ; Green, Timothy C.
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
Abstract :
This paper presents an optimal power flow (OPF) solution based on maximizing distributed generator (DG) real power output with a restraint on network losses for radial and meshed distribution networks. The multi-objective nonlinear OPF problem with weighting terms for DG real power output and loss is linearized and solved by pure primal-dual interior point method. Besides explaining the basic algorithm, the paper concentrates on the determination of initial points and effective adjustment of barrier parameter to maintain accuracy and speed of convergence. The performance of the method is evaluated on two representative U.K distribution networks: a 12-bus rural upland meshed network where wind is prevalent and an 18-bus semi-urban radial feeder with two fossil fuel DGs. The results confirm that the developed OPF algorithm has the potential for network operation and implementation in an autonomous active network management system due to its ability to optimize different types of distribution network.
Keywords :
distributed power generation; linear programming; load flow; power system management; 12-bus rural upland meshed network; 18-bus semiurban radial feeder; U.K distribution network; autonomous regional active network management system; distributed generator; fossil fuel; meshed distribution network; multiobjective nonlinear OPF problem; network losses; optimal power flow; primal-dual interior point method; radial distribution networks; Convergence; Distributed power generation; Energy management; Fossil fuels; Linear programming; Load flow; Power engineering and energy; Power generation; Power system management; Voltage control; Active management; DG real power output maximization; Interior point method; centralized voltage control; multi-objective; network loss minimization; optimal power flow; successive linear programming;
Conference_Titel :
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location :
Calgary, AB
Print_ISBN :
978-1-4244-4241-6
DOI :
10.1109/PES.2009.5275373