Title :
Optimal placement and sizing of distributed generation in distribution power system based on multi-objective harmony search algorithm
Author :
Yuan Liu ; Yunhua Li ; Ke-yan Liu ; Wanxing Sheng
Author_Institution :
Beihang Univ., Beijing, China
Abstract :
This study deals with the optimal placement and sizing issue in distribution power system with distributed generation (DG). This issue is a sophisticated multi-objective optimization problem with constraints of investment and power system operation demands. In this paper, minimum power loss, minimum voltage deviation and maximal voltage stability margin are taken into account for the optimization of DG planning. To solve the comprehensive multi-objective optimization problem, a meta-heuristic searching algorithm harmony search (HS) is improved with the fast non-dominated sorting approach, which forms the novel intelligent optimization algorithm called multi-objective harmony search (MOHS). Simulation on IEEE 33-bus test system and comparisons with some other multi-objective evolutionary algorithms yield promising results for optimal placement and sizing of DG based on MOHS.
Keywords :
distributed power generation; optimisation; power distribution planning; search problems; DG planning; MOHS; distributed generation optimal placement; distributed generation optimal sizing; distribution power system; intelligent optimization algorithm; maximal voltage stability margin; meta-heuristic searching algorithm; minimum power loss; minimum voltage deviation; multiobjective harmony search algorithm; multiobjective optimization problem; nondominated sorting approach; Linear programming; Measurement; Optimization; Planning; Power system stability; Sorting; Stability criteria;
Conference_Titel :
Robotics, Automation and Mechatronics (RAM), 2013 6th IEEE Conference on
Conference_Location :
Manila
Print_ISBN :
978-1-4799-1198-1
DOI :
10.1109/RAM.2013.6758578