用BPSO提高配电系统的可靠性

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) Pub Date : 2019-01-01 DOI:10.1109/ROBOMECH.2019.8704777

R. Bhugwandeen, A. Saha

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引用次数: 0

摘要

本文提出了一种二元粒子群优化算法，用于在实际的KwaZulu-Natal配电网中战略性地放置附加保护装置以提高可靠性，每个配电网都具有独特的特征。使用历史数据对组件的性能进行建模，并使用DigSilent PowerFactory进行仿真，以评估系统的可靠性。报告和讨论每个案例研究的结果，以找到最经济可行的解决方案。引入的二进制粒子群优化算法在添加开关后的改进最小。尽管如此，在安装了额外的关闭器后，系统平均中断时间指数显著提高了21%，未服务能源指数显著提高了11%。

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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Improving Reliability on Distribution Systems Using BPSO for Device Placement

This paper presents a Binary Particle Swarm Optimization algorithm for strategic placement of additional protection devices to improve reliability on real KwaZulu-Natal distribution networks, each with unique characteristics. Historical data was used to model the performance of the components and simulated using DigSilent PowerFactory to evaluate reliability on the system. The results of each case study considered are reported and discussed to find the most economically feasible solution. The Binary Particle Swarm Optimization algorithm introduced results in minimal improvements after the addition of switches. Nonetheless, there are significant improvements in System Average Interruption Duration Index of up to 21% and Energy Not Served of 11% after the placement of additional reclosers.

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来源期刊

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)

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