A New Approach for Sub-Transmission System Expansion Planning Using Genetic Algorithm

作者：Hosseini Seyed Hadi^*; Jalilzadeh Saeid; Jalilvand Abolfazl; Bagheri Amir

来源：International Review of Electrical Engineering, 2010, 5(5): 2343-2349.

• Sub-transmission System
• Modified Mathematical Clustering Algorithm (MMCA)
• Genetic Algorithm

This paper proposes a new approach for expansion planning of sub-transmission System (SS). Distribution network (downward grid) is considered in the problem by modeling it as the load points, then Modified Mathematical Clustering Algorithm (MMCA) has been used for candidate selection of sub-transmission substations. Finally Genetic Algorithm (GA) is employed to allocate the load points to the existing or candidate substations, and to find the best configuration of lines among the candidate ones. The proposed method is applied on a typical SS and the results are presented.

• 出版日期2010-10