An Improved Differential Evolution Algorithm for Transmission Network Planning

摘要：

Transmission network planning (TNP) is a mixed integer,non-linear,non-convex optimization problem,which is very complex and computationally demanding.This paper presents an improved differential evolution (IDE) algorithm to solve the TNP problem based on DC power flow model.The selfadaptive control parameter strategy is adopted to improve the robustness of the algorithm.Moreover,tournament selection operator is employed to avoid the difficulty of select the penalty coefficient while formulating the fitness function.The numeric results on 18-bus test system show the effectiveness of the proposed algorithm.

关键词： Transmission network planning:differential evolution:self-adaptive control parameter:tournament selection

作者: Xingxing Qiu Zhenzhen Zhang Qiming Wei

作者单位: School of Information Science and Technology Jiujiang University Jiujiang,China College of Science Jiujiang University Jiujiang,China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies(第四届电力设施管制、重建及能源技术国际会议 DRPT 2011)

会议地点: 威海

会议语种:英文

页码: 1246-1249

在线出版日期: 2011-07-06（万方平台首次上网日期，不代表论文的发表时间）