当前位置: X-MOL 学术J. Electr. Eng. Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Simultaneous Reconfiguration and Optimal Capacitor Placement Using Adaptive Whale Optimization Algorithm for Radial Distribution System
Journal of Electrical Engineering & Technology ( IF 1.6 ) Pub Date : 2020-11-09 , DOI: 10.1007/s42835-020-00593-5
M. Ramesh Babu , C. Venkatesh Kumar , S. Anitha

The losses in the distribution networks due to the line resistance decrease the overall efficiency of the power distribution. Reducing the power losses and regulating the voltages within the limits are necessary to provide quality power to the consumers. The power loss can be minimized by optimum network reconfiguration and the placement of the capacitors. Considering independent network reconfiguration and placement of the capacitor is not effective during heavy loading conditions. This paper proposes a simultaneous network reconfiguration and capacitor placement in radial distribution network to minimize the real power losses, operating cost and to improve the bus voltages. The Johnson’s algorithm is used to find the minimal spanning tree during the network reconfiguration and an adaptive whale optimization algorithm is used as an optimization method. The proposed methodology is tested on standard IEEE 33-bus and 69-bus radial distribution systems. The effectiveness of the proposed method is validated by comparing the results with previous result reported in the literature in terms of cost saving and loss reduction.

中文翻译:

使用自适应鲸鱼优化算法的径向配电系统同时重新配置和最佳电容器放置

由于线路电阻造成的配电网络损耗降低了配电的整体效率。减少功率损耗并在限制范围内调节电压是为消费者提供优质电力所必需的。可以通过优化网络重新配置和电容器的放置来最小化功率损耗。在重负载条件下,考虑独立的网络重新配置和电容器放置是无效的。本文提出在径向配电网络中同时进行网络重构和电容器布置,以最大限度地减少实际功率损耗、运营成本并提高总线电压。Johnson 算法用于在网络重构期间寻找最小生成树,并使用自适应鲸鱼优化算法作为优化方法。建议的方法在标准 IEEE 33 总线和 69 总线径向分布系统上进行了测试。通过将结果与文献中在节约成本和减少损失方面先前报告的结果进行比较,验证了所提出方法的有效性。
更新日期:2020-11-09
down
wechat
bug