Title :
Research on the Convergent Performance of the Auxiliary Problem Principle Based Distributed and Parallel Optimization Algorithm
Author :
Cao, Lixia ; Sun, Yan ; Cheng, Xingong ; Qi, Baoliang ; Li, Quanmin
Author_Institution :
Shandong Jianzhu Univ., Jinan
Abstract :
The convergent performance of the auxiliary problem principle based distributed and parallel optimization algorithm (APPBDPOA) is dependent on its parameters and power network partition. Because of the complexity of the optimal power flow, it is difficult to obtain the sufficient and necessary conditions of convergence for APPBDPOA in theory. In this paper the convergent performance of APPBDPOA is studied through large numbers of tests. The relations between parameters and convergent performance and the influence of the power network partition on convergent speed are discussed. The conclusions can guide the parameter evaluation, which is significant for optimizing the power network partition and further speeding up APPBDPOA.
Keywords :
computational complexity; load flow; optimisation; parallel algorithms; auxiliary problem principle based distributed and parallel optimization algorithm; optimal power flow complexity; parameter evaluation; power network partition; Automation; Convergence; Load flow; Logistics; Partitioning algorithms; Power generation; Power system interconnection; Power system modeling; Sun; System testing; auxiliary problem principle; convergent performance; distributed and parallel optimization; optimal power flow; power network partition;
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
DOI :
10.1109/ICAL.2007.4338729