2023, Vol. 4, Issue 1, Part A
Solving the active power loss reduction problem in distribution networks by placing both wind farms and shunt capacitors using novel meta-heuristic algorithms
Author(s): Do Huynh Thanh Phong and Nguyen Thuy Linh
Abstract: This research applied two novel meta-heuristic algorithms, including the driving-train-based optimization and the average and subtract-based optimization, to determine the optimized sizes and locations of wind farms and shunt capacitors in the IEEE-33 node distribution network for active power loss reduction. The results obtained by the two applied methods are evaluated on different criteria, such as Min TPWL, Aver TPWL, Max TPWL, and Std. ASBO completely outperforms DTBO in all criteria. Particularly, the higher percentages of ASBO over DTBO on each criterion are, respectively, 0.44%, 31.16%, 25.40%, and 33.71%. Through all results and comparisons, ASBO proves itself to be an efficient search method. We highly suggest using ASBO to deal with the problem of active power loss reduction by placing wind farms and shunt capacitors into the distribution network. Moreover, the presence of both wind farms and shunt capacitors found by ASBO has reduced the active power loss of the original IEEE-33 node from 211 kW to 28,76281 kW, corresponding to 86.37%.
Pages: 09-15 | Views: 347 | Downloads: 130
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How to cite this article:
Do Huynh Thanh Phong, Nguyen Thuy Linh. Solving the active power loss reduction problem in distribution networks by placing both wind farms and shunt capacitors using novel meta-heuristic algorithms. Int J Electr Data Commun 2023;4(1):09-15.
