An improved cuckoo search algorithm for the problem of electric distribution network reconfiguration |
| |
| Affiliation: | 1. School of Electrical Engineering, VIT University, Vellore 632014, Tamil Nadu, India;2. Director Research, Wainganga College of Engineering & Management, Nagpur, India;1. School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu 610500, PR China;2. School of Economics and Management, Southwest Petroleum University, Chengdu 610500, PR China;1. Faculty of Electrical and Electronics Engineering, HCMC University of Technology and Education, 1 Vo Van Ngan Str., Thu Duc Dist., Ho Chi Minh City, Viet Nam;2. Dong An Polytechnic, 30/4 Str., Di An Dist., Binh Duong Province, Viet Nam;3. Power System Optimization Research Group, Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam, No. 19 Nguyen Huu Tho Street, Tan Phong Ward, District 7, Ho Chi Minh City, Vietnam;4. Ha Noi University of Science and Technology, No. 1 Dai Co Viet Str., Ha Noi, Viet Nam;1. Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran;2. Department of Electrical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran;3. Faculty of Engineering and Technology, Razi University, Eslam Abad Gharb, Kermanshah, Iran;4. Department of System Engineering, Missouri University of Science and Technology, Rolla, MO, USA;5. Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO, USA |
| |
| Abstract: | Power loss reduction has an important role in operating electric distribution network system. There are a lot of methods for reduction power loss such as capacitor placement, distributed generation placement and electric distribution network reconfiguration (EDNR). Among these methods, the EDNR is an efficient technique to reduce power loss due to without taking any costs. However, the EDNR problem is a nonlinear, discrete problem and lots of extreme points. Therefore, it is necessary to have efficient methods for solving the EDNR problem. In this paper, an improved cuckoo search algorithm (ICSA) is proposed for solving the EDNR problem. In which, based on disadvantages of exploration and exploitation process of cuckoo search algorithm (CSA) for solving the EDNR problem, a local search mechanism is added to exploit candidate solutions existing around the current best solution. The calculated results on the simple distribution networks to complex distribution networks show that ICSA has ability for finding the global optimal solution with much smaller iterations and better quality of obtained solution compared with CSA and some other improved versions of CSA. The performance comparisons with other existing methods available in previous studies and the software of Power System Simulator/Advanced Distribution Engineering Productivity Tool (PSS/ADEPT) also lead to the better electric distribution network configuration with smaller total power losses. As a result, ICSA is a potential and reliable method for solving the EDNR problems. |
| |
| Keywords: | Improved cuckoo search Reconfiguration Electric distribution network, cuckoo search Power loss |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
