Title :
Optimal Microgrid Partition Strategy of Distribution Generation Based on Advanced GA
Author :
Shi Zhang ; Dingwei Wang ; Xinran Xu ; Tingting Zhao
Author_Institution :
Inst. of Syst. Eng., Northeastern Univ., Shenyang, China
Abstract :
It is widely focused on by the global researchers that distributed generation (DG) can enhance reliability of electric power system. The microgrid partition strategy is an important operation that can enhance reliability of electric power system. This paper presents an impact study on a DG connected to the distribution networks and proposes rooted tree to model DG island separation according to the radial structure. The advanced genetic algorithm and optimization 0-1 programming are then given for maximizing flexibility of network reconfiguration, which is to determine proper splitting points to split the entire interconnected distribution network into microgrids ensuring generation/load balance and satisfaction of transmission capacity constraints when microgrids are unavoidable. The verification of the microgrid partition strategy is proven with simulations on 7-bus and 23-bus test system.
Keywords :
distributed power generation; genetic algorithms; power system reliability; 23- bus test system; 7-bus bus test system; advanced GA; advanced genetic algorithm; distribution generation; electric power system reliability; interconnected distribution network; island separation; network reconfiguration flexibility; optimal microgrid partition strategy; optimization 0-1 programming; transmission capacity constraints; Intelligent systems; distributed generation; genetic algorithm; intentional islanding; microgrid; power system; splitting strategy;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-8333-4
DOI :
10.1109/ISDEA.2010.344