A fast determination method of DG locating and sizing based on artificial neural network algorithm
1.School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 2.School of Electrical Engineering, Southeast University, Nanjing, Jiangsu 210096, China
Abstract：To reduce the impacts of gridconnected distributed generation (DG) on power supply quality, voltage distribution and stability, a fast determination method was proposed based on artificial neural network (ANN) for DG locating and sizing. The index of voltage stability was proposed, and the weak bus identification and the indicator showed prior sequencing for DG locations. The ANNbased training dataset was established to evaluate the reasonable DG capacity at the expected voltage node. By running the algorithm of feedforward ANN in MATLAB and testing in a 52node power system, the feasibility and the efficiency of the proposed method were verified. The results show that the optimal DG allocation can effectively increase voltage stability, and significantly reduce power loss with improved bus voltage profile over 090 p.u..
蔡浩, 朱熀秋, 吴熙. 一种基于人工神经网络算法的分布式电源快速配置方法[J]. 江苏大学学报（自然科学版）, 2016, 37(3): 309-314.
CAI Hao, ZHU Huang-Qiu, WU Xi. A fast determination method of DG locating and sizing based on artificial neural network algorithm[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2016, 37(3): 309-314.
2016, Vol. 37 
