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Long-term Performance Comparison of Multiple Distributed Generation Allocations Using a Clustering-based Method

机译：使用基于聚类的方法的多个分布式发电分配的长期性能比较

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摘要

Distributed generation is becoming a part of the strategic plans of electricity providers for effective system management. The proper planning of multiple distributed generation units plays an important role in modern power systems to offer a highly reliable system. Computation of power flows is one of the major tasks in system planning studies. Conventional load flow analysis methods are impractical to evaluate every possible or probable combination of loads and different allocations of distributed generation units because of the extremely large computational effort required. This article proposes an expansion method to perform load flow analysis with consideration of multiple distributed generation integration and load uncertainties. The proposed approach offers a method to handle the impacts of all possible allocations of distributed generation units without increasing computational efforts. The impacts of placement and penetration level of multiple distributed generation on power losses, voltage deviation, and line capacity are investigated under load uncertainty over a long-term period on the IEEE 57-, IEEE 30-, IEEE 14-, and 9-bus networks for future planning study purposes. The study results indicate that the proposed method has significantly reduced the computational efforts while maintaining a high degree of accuracy in evaluating various possible scenarios in which multiple distributed generation units have to be integrated into the grid.
机译：分布式发电正成为电力供应商进行有效系统管理的战略计划的一部分。多个分布式发电机组的正确规划在现代电力系统中扮演着重要角色，以提供高度可靠的系统。潮流计算是系统规划研究中的主要任务之一。由于需要极大的计算量，传统的潮流分析方法无法评估负载和分布式发电单元的不同分配的每种可能或可能的组合。本文提出一种扩展方法，以考虑多个分布式发电集成和负载不确定性来进行潮流分析。所提出的方法提供了一种无需增加计算量即可处理分布式发电单元所有可能分配的影响的方法。在IEEE 57-，IEEE 30-，IEEE 14-和9-bus上的长期负载不确定性下，研究了多种分布式发电的布局和穿透水平对功率损耗，电压偏差和线路容量的影响网络以供将来规划研究之用。研究结果表明，该方法大大降低了计算工作量，同时在评估必须将多个分布式发电单元集成到电网的各种可能方案中保持较高的准确性。

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