Optimal placement of locally controlled voltage regulators in traditional distribution systems using the IMDE algorithm

被引:0
作者
Kamarposhti, Mehrdad Ahmadi [1 ]
Shokouhandeh, Hassan [2 ]
Kang, Sun-Kyoung [3 ]
Colak, Ilhami [4 ]
Barhoumi, El Manaa [5 ]
Eguchi, Kei [6 ]
机构
[1] Islamic Azad Univ, Dept Elect Engn, Jouybar Branch, Jouybar, Iran
[2] Semnan Univ, Dept Elect Engn, Semnan, Iran
[3] Wonkwang Univ, Dept Comp Software Engn, Chonbuk, South Korea
[4] Nisantasi Univ, Fac Engn & Architectures, Dept Elect & Elect Engn, Istanbul, Turkiye
[5] Dhofar Univ, Coll Engn, Dept Elect & Comp Engn, Salalah, Oman
[6] Fukuoka Inst Technol, Dept Informat Elect, Fukuoka 8110295, Japan
关键词
losses; voltage profile; voltage regulator; genetic algorithm; Differential evolution algorithm; OPTIMAL ALLOCATION; STRATEGY; OPTIMIZATION; RESTORATION; CAPACITORS; PMSM;
D O I
10.1093/ijlct/ctad066
中图分类号
O414.1 [热力学];
学科分类号
摘要
One of the main goals of the designers of the power systems is the reduction of extra systems costs. The main part of these costs is related to energy loss, and the methods for loss reduction significantly lead to a cost reduction. The voltage regulators (VRs) can be used along the distribution feeders and the improvement of the network voltage profile results in the loss reduction of the system. However, the important problem is the installation location of this equipment to have the most profitability with the lowest cost. In this paper, the optimal placement of the VRs along the distribution systems is performed using intersect mutation differential evolution algorithm. The method aims to reduce loss and the primary investment and maintenance of the VRs. To this aim, the studies are performed on two scenarios for two standard distribution systems with 33 and 69 buses. A genetic algorithm (GA) is also utilized for the VRs placement to validate the results. The results show that the VRs reduce the loss to about 15% of the maximum system load. Moreover, the improved differential evolution algorithm performs better than the GA and makes the objective function in the minimum value.
引用
收藏
页码:956 / 967
页数:12
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