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首页> 外文期刊>Journal of Power and Energy Engineering >Optimal Placement and Sizing of Distributed Energy Generation in an Electrical Network Using the Hybrid Algorithm of Bee Colonies and Newton Raphson
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Optimal Placement and Sizing of Distributed Energy Generation in an Electrical Network Using the Hybrid Algorithm of Bee Colonies and Newton Raphson

机译:利用蜜蜂殖民地杂交算法和牛顿拉文森的电网中分布能源发电的最佳放置和尺寸

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Distributed generation (DG) is gaining in importance due to the growing demand for electrical energy and the key role it plays in reducing actual energy losses, lowering operating costs and improving voltage stability. In this paper, we propose to inject distributed power generation into a distribution system while minimizing active energy losses. This injection should be done at a grid node (which is a point where energy can be injected into or recovered from the grid) that will be considered the optimal node when total active losses in the radial distribution system are minimal. The focus is on meeting energy demand using renewable energy sources. The main criterion is the minimization of active energy losses during injection. The method used is the algorithm of bee colony (ABC) associated with Newtonian energy flow transfer equations. The method has been implemented in MATLAB for optimal node search in IEEE 14, 33 and 57 nodes networks. The active energy loss results of this hybrid algorithm were compared with the results of previous searches. This comparison shows that the proposed algorithm allows to have reduced losses with the power injected that we have found.
机译:由于对电能不断增长的需求和在降低实际能量损失,降低运营成本和提高电压稳定性时,分布式发电(DG)的重要性是重要的。在本文中,我们建议将分布式发电注入分配系统,同时最小化有源能量损失。该喷射应该在网格节点(其是能量可以注入或从网格中恢复的点)进行,这将被认为是当径向分布系统中的总活动损耗最小时是最佳节点。重点是使用可再生能源满足能源需求。主要标准是注射过程中的活性能量损失最小化。使用的方法是与牛顿能量流传递方程相关的蜜蜂菌落(ABC)的算法。该方法已经在MATLAB中实现,用于IEEE 14,33和57节点网络中的最佳节点搜索。将该混合算法的有效能量损失结果与先前搜索的结果进行了比较。该比较表明,该算法允许使用我们发现的功率降低损耗。

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