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Improved biogeography based optimization technique for loss minimization in power distribution networks

机译:改进的基于生物地理的优化技术,用于配电网中的损耗最小化

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Biogeography is defined as the investigation of dispersion of biological species in ecosystem and it can analogous to the mathematical optimization problems in the field of engineering, medical science, economic science, sport, business enterprise, town future planning and so on. The proposed Improved Biogeography Based Optimization (IBBO) algorithm is roused on fundamental basis of scientific mechanisms of actual biogeography. This paper purports the IBBO technique to identify the optimal power rating and position of distribution generation (DG) in radial distribution networks. Since the distribution line loss minimization plays a vital role in economic operation of power system, hence the distribution line active power loss is elite as the target fitness (objective) function for the proposed optimization problem. The simulation studies are implemented in MATLAB software for IEEE 33-bus and IEEE 69-bus radial distribution test networks. Results incurred from the purposed approach prove that better active power loss reduction and improved node voltage profiles when compared with other existing methods available in the literature.
机译:生物地理学被定义为对生态系统中生物物种扩散的调查,它可以类似于工程,医学,经济科学,体育,商业企业,城镇未来规划等领域中的数学优化问题。提出的基于改进的基于生物地理学的优化(IBBO)算法是基于实际生物地理学的科学机制的基础而建立的。本文主张采用IBBO技术来确定径向配电网中的最佳额定功率和配电生成(DG)的位置。由于配电线路损耗的最小化在电力系统的经济运行中起着至关重要的作用,因此,配电线路的有功功率损耗作为提出的优化问题的目标适应度(目标)函数非常出色。仿真研究是在MATLAB软件中针对IEEE 33总线和IEEE 69总线径向分布测试网络进行的。与文献中现有的其他现有方法相比,该有针对性的方法所产生的结果证明,可以更好地降低有功功率损耗并改善节点电压曲线。

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