Title :
Distribution System Fault Recovery with Controllable Distributed Generations
Author :
Wang, Chong ; Liu, Haoming ; Hou, Yunhe
Author_Institution :
Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
Abstract :
With the increasing installed capacity of distributed generators (DGs) in distribution systems, its impact on distribution systems is becoming more significant. The conventional methods for distribution systems fault recovery have to be upgraded due to more DGs integration. In this paper, a novel restoration strategy with a two-stage process is proposed. In the first stage, islands are established with power supplied from DGs. In the second stage, the islands formed in first stage will be modeled as dispatchable loads. These dispatchable loads and other traditional loads that are not within the islands will be restored together. This problem described as a multi-objective problem with the minimal system loss, number of switch operation and potential loss of loads. Fast elitist non-dominated sorting partheno-genetic algorithm is employed to solve this multi-objective problem. IEEE 33-bus system is used as an example. The results show that the models and algorithms proposed in this paper is efficient.
Keywords :
IEEE standards; distributed power generation; genetic algorithms; load dispatching; power distribution faults; DG; IEEE 33-bus system; controllable distributed generations; dispatchable loads; distribution system fault recovery; elitist nondominated sorting partheno-genetic algorithm; minimal system loss; multiobjective problem; restoration strategy; two-stage process; Biological cells; Equations; Generators; Load modeling; Mathematical model; Sorting; Switches;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307491