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Analyzing the multi objective analytical aspects of distribution systems with multiple multi-type compensators using modified cuckoo search algorithm

机译:使用改进的布谷鸟搜索算法分析具有多个多类型补偿器的配电系统的多目标分析方面

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摘要

This paper presents a two stage solution strategy to solve multi objective optimization problem in the presence of capacitors, distributed generators (DGs) and automatic voltage regulators (AVRs) for better planning and operation of a primary distribution system. Using this, the economical aspects such as net savings and the technical aspects such as voltage deviation and section current index objectives are optimized while satisfying system equality and in-equality constraints.The optimum number of compensating devices and their optimal locations are identified in a given system so as to enhance the system security by minimizing the system power losses. The proposed methodology of finding the optimal sizes of compensating devices with multi-objective functions uses fuzzy decision approach to select the best compromised solution from the total generation Pareto solution as per the operators' requirement. The feasibility and effectiveness of the proposed method are examined on standard 15-node, 33-node and 69-node test systems. According to the analytical results, the proposed framework in the presence of compensating devices enhances the system performance more effectively.
机译:本文提出了一种两阶段解决方案策略,可以解决存在电容器,分布式发电机(DG)和自动电压调节器(AVR)的情况下的多目标优化问题,从而更好地规划和运行一次配电系统。利用此方法,可以在满足系统相等性和不等式约束的同时,优化经济方面(例如净节省额)和技术方面(例如电压偏差和分段电流指标)。在给定的条件下确定补偿设备的最佳数量及其最佳位置通过最小化系统功率损耗来增强系统安全性。所提出的寻找具有多目标函数的补偿设备的最佳尺寸的方法,是根据操作员的要求,使用模糊决策方法从总发电量的帕累托解决方案中选择最佳折衷解决方案。在标准的15节点,33节点和69节点测试系统上检查了该方法的可行性和有效性。根据分析结果,所提出的框架在存在补偿设备的情况下可以更有效地增强系统性能。

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