Improving Loss Minimization in 33kv Power Distribution Network Using Optimized Genetic Algorithm

International Journal of Systems Engineering Pub Date : 2021-06-09 DOI:10.11648/j.ijse.20210501.15

N. B. Ngang, B. Kazeem, U. Ikechukwu, Aneke Nnamere Ezekiel

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Abstract

The epileptic power supply from the national grid due to instability is a concern to energy consumer. This instability in power supply experienced in power distribution network could be minimized by introducing Optimized Genetic Algorithm (OGA). It is achieved by characterizing 33KV distribution network, running the load flow of the characterized 33KV distribution network, determining the distribution losses from the load flow. Minimizing the determined losses in 33kv distribution network using (OGA), and designing SIMULINK model for improving loss minimization in 33kv power distribution network using OGA. Finally, validating and justifying the percentage of loss reduction in improving loss minimization in 33kv power distribution network without and with OGA. The results obtained are conventional percentage power loss in 33KV distribution network, 75%, while that when OGA is incorporated in the system is 72.9%. With these results obtained, the percentage improvement in loss reduction in 33KV distribution network when OGA is used is 2.1%. The conventional percentage of power loss in 33KV distribution network is 80%. The percentage power loss in the distribution network now is 72.9%; hence, power loss reduction in distribution network. Unmitigated power loss was 76.7% when OGA is introduced we had 74.63%. The percentage power loss in distribution network in bus 8 is 81.7% while that when OGA is applied is 79.49%. The percentage power loss in bus 9 of 33KV distribution network is 86.7%. Finally, when optimized genetic algorithm is incorporated in the system the percentage power loss in the network was reduced to 84.36%.

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利用优化遗传算法改进33kv配电网损耗最小化

国家电网不稳定的电力供应是能源消费者关注的问题。通过引入优化遗传算法(OGA)，可以最大限度地降低配电网供电的不稳定性。通过对33KV配电网进行表征，运行所表征的33KV配电网的潮流，从潮流中确定配电网损耗来实现。利用(OGA)最小化33kv配电网的确定损耗，并设计SIMULINK模型，利用OGA提高33kv配电网的损耗最小化。最后，验证和证明在无OGA和有OGA的33kv配电网络中，损耗降低的百分比。结果表明:在33KV配电网中，常规损耗率为75%，而在系统中加入OGA后，损耗率为72.9%。结果表明，采用OGA后，33KV配电网的减损率提高了2.1%。33KV配电网的常规损耗率为80%。目前配电网的损耗率为72.9%;从而降低配电网的功率损耗。引入OGA后，未减功率损耗为76.7%，为74.63%。8号母线配电网损耗率为81.7%，采用OGA配电网损耗率为79.49%。33KV配电网9号母线损耗率为86.7%。最后，将优化后的遗传算法加入到系统中，使网络的功率损耗率降低到84.36%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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International Journal of Systems Engineering

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