Microgrid Planning in Distribution Networks Considering Optimal Placement of Distributed Generation Units

Shah Mohammad Rezwanul Haque Shawon, Xiaodong Liang, Mehrnoosh Janbakhsh
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引用次数: 3

Abstract

Due to increasing penetration of renewable energy-based distributed generation (DG), conventional distribution networks are transformed into their active form, where microgrids are considered fundamental building blocks. Optimal placement of DG units is the primary step towards microgrid planning. Optimally placed and sized DGs can reduce the total power losses in distribution networks by localizing the power supply to loads. In this paper, a DG optimal placement method by minimizing the total power losses is proposed, where Brute Force search algorithm and Backward Forward Sweep method are used to solve the optimization and load flow problems, respectively. IEEE 33 bus radial distribution test system is used to validate the proposed method in MATLAB. Several case studies are conducted, dispatchable and non-dispatchable DGs and capacitor banks are used in the optimal placement and sizing. The proposed method is proved to be effective by comparing with an existing method.
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考虑分布式发电机组优化配置的配电网微网规划
由于基于可再生能源的分布式发电(DG)的日益普及,传统的配电网络正在转变为主动形式,其中微电网被认为是基本的构建模块。分布式发电机组的优化配置是实现微电网规划的首要步骤。dg的最佳位置和大小可以通过将电源分配给负载来减少配电网的总功率损耗。本文提出了一种以总功率损耗最小为目标的DG优化布局方法,其中采用蛮力搜索算法求解优化问题,采用后向扫描算法求解潮流问题。利用IEEE 33总线径向分布测试系统在MATLAB中对所提方法进行了验证。进行了几个案例研究,可调度和不可调度dg和电容器组用于最佳布局和尺寸。通过与已有方法的比较,证明了该方法的有效性。
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