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Optimal Sizing of Distributed Generation Placed on Radial Distribution Systems

机译:径向分布系统中分布式发电的最佳规模

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摘要

Distribution network planning identifies the least cost network investment that satisfies load growth requirements without violating any system and operational constraints. Power injections from distributed generation change network power flows, modifying energy losses. Determining appropriate location and optimal size of distributed generation with respect to network configuration and load distribution in the feeder is main challenge in the changing regulatory and economic scenarios. Among the benefits of distributed generation is the reduction in active power losses, which can improve the system performance; reliability, and efficiency. In this article, the multi-location distributed generation placement problem aims to minimize the total active power loss of radial distribution networks using a genetic algorithm based solution algorithm. This technical benefit of energy savings due to the reduction in active power loss can also be translated into economic benefits. The loss sensitivity to the change in active power injection is used in selecting candidate location(s) for installation of distributed generation devices. A comparison of the results for loss reduction and savings with other reported methods show the effectiveness of the proposed method.
机译:配电网络规划确定了在不违反任何系统和操作约束的前提下,满足负载增长要求的成本最低的网络投资。分布式发电产生的功率注入改变了网络功率,从而改变了能量损耗。在不断变化的监管和经济形势下,相对于馈线中的网络配置和负载分配,确定分布式发电的合适位置和最佳大小是主要挑战。分布式发电的好处之一是减少了有功功率损耗,这可以改善系统性能。可靠性和效率。在本文中,多位置分布式发电布置问题旨在使用基于遗传算法的求解算法将径向配电网的总有功功率损耗降至最低。由于减少了有功功率损耗,这种节能的技术优势也可以转化为经济利益。对有功功率注入变化的损失敏感性用于选择分布式发电设备安装的候选位置。将减少损失和节省的结果与其他报道的方法进行了比较,表明了该方法的有效性。

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