Multi-objective Optimal Placement of Distribution Generation with Special Requirements for Power Quality and Power Supply
This study presents an application of Nondominated sorting genetic algorithm II(NSGA-II)to the multi-objective optimal placement of distributed generation(DG)in distribution system with special requirements for power quality and power supply.To effectively replicate different perspectives and satisfy some consumers special requirements,a multi-objective optimization model,which considers technical,economic and environmental attributes and introduces special requirements for voltage magnitudes of certain buses and total installed capacity with certain sub-system,is presented to place DG optimally.The feasibility and effectiveness of the proposed method handled with NSGA-II are demonstrated by the optimal placement of micro-gas turbine in the IEEE 33-bus system considering four scenarios.The encouraging simulation results indicate that the proposed method can get better quality solutions and that the significant technical,economic and environmental benefits with optimally placed DG with special requirements can be verified.Meanwhile,the proposed special requirements strategy quantify the particular consumers requirements,it provides flexibility and diversity while not violating the systems operation,effectively replicates and guarantees the consumers special demands for power quality and power supply.
Distributed generation (DG) Multi-objective optimization NSGA-II Special requirement Power quality
JIANG Bo-Yu SONG Kai-Sheng CHENG Shan QIN Tian-Ya ZOU Qiao
College of Electrical Engineering & New Energy,China Three Gorges University,Yichang 443002
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
7521-7526
2014-07-28（万方平台首次上网日期，不代表论文的发表时间）