Title :
Islanding algorithm for different type of distributed generators in intelligent distribution system
Author :
Zhu Jing ; Li Bin ; Liang Shuiying ; Liu Zhufeng ; Bao Daiyuan
Author_Institution :
Guangxi key Lab. of Power Syst. Optimization & Energy Technol., Guangxi Univ., Nanning, China
Abstract :
With the progress of distributed generators, island partition gradually meets the requirements of practical engineering application. In this study, according to the radial structure and service restoration process of intelligent distribution system, this paper established the island partition model takes account of key factors as the load priority, load controllability, power balance and equipment transmission capability, especially considering the DG which output power is random, and reliability of many types of DGs. Different from traditional method to solve the model, this paper used the mathematical optimization method to get island scheme. The proposed method and model is verified with a 33-bus test system with different types of DGs. Comparison with other methods demonstrates that the new model and method is feasible and valid.
Keywords :
distributed power generation; power distribution faults; distributed generation; distributed generators; equipment transmission capability; intelligent distribution system; island partition; islanding algorithm; Distributed power generation; Generators; Islanding; Load modeling; Power system reliability; Reliability; DG; intelligent distribution system; intentional islanding; optimal island partition; reliability;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2014 IEEE PES Asia-Pacific
DOI :
10.1109/APPEEC.2014.7066003