江苏大学学报（自然科学版）2016，Vol.37Issue(3)：309-314,6.DOI:10.3969/j.issn.1671-7775.2016.03.010
一种基于人工神经网络算法的分布式电源快速配置方法
A fast determination method of DG locating and sizing based on artificial neural network algorithm
摘要
Abstract
To reduce the impacts of grid-connected 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 ANN-based training dataset was established to evaluate the reasonable DG capacity at the expected voltage node.By running the algorithm of feed-forward ANN in MATLAB and testing in a 52-node 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 0.90 p.u..关键词
分布式电源/选址/定容/人工神经网络/电压稳定性Key words
distributed generation/location/size/artificial neural network/voltage stability分类
信息技术与安全科学引用本文复制引用
蔡浩,朱誯秋,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):309-314,6.基金项目
国家自然科学基金资助项目（51407028）；江苏省自然科学基金资助项目（BK20140633）；江苏高校优势学科建设工程项目 （）
