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首页> 外文期刊>Indian Journal of Science and Technology >A Multi-Objective Approach for Improving Technical Factors of Distribution Networks Considering Uncertainties in Loads and Wind Turbines
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A Multi-Objective Approach for Improving Technical Factors of Distribution Networks Considering Uncertainties in Loads and Wind Turbines

机译：考虑负荷和风力发电机组不确定性的配电网技术因素多目标改进方法

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摘要

Objectives: Objectives of this paper are to achieve decreasing power losses, maintaining permissible voltage profiles in distribution networks and also considering the uncertainties of network Components like loads and wind turbines. Methods/ Statistical Analysis: A new method is proposed for Distribution Feeder Reconfiguration (DFR) and capacitor placement considering Wind Turbine (WT) based on an improved reconfiguration technique. The employed DFR method is based on a single loop reconfiguration method which selects the optimal branch in each loop to achieve maximum loss reduction. Moreover, sequence of loops selection is optimized by using an optimization algorithm. Findings: A joint optimization algorithm has been proposed for combination of the capacitor placement and the improved network reconfiguration. This is due to the inherent coupling relationship between these methods, and therefore, simultaneous implementation of them is more effective than considering them separately. For more practical application of the proposed method, stochastic nature of loads and wind turbine generators of the network have been considered. Teaching-Learning Based Optimization (TLBO) algorithm has been employed for the proposed joint optimization problem and its results have been compared to the PSO and GA. The objective function has been proposed for minimizing the total cost due to capacitor placement and energy losses during 2 years with considering the constraints of bus voltages and the current carrying capacity of conductors. The obtained results confirmed the effectiveness of the proposed method. Application/Improvements: Simultaneous implementation of capacitor placement and reconfiguration method, considering stochastic nature of network and also employing TLBO algorithm for the proposed optimization problem.
机译：目标：本文的目标是实现降低功率损耗，维持配电网络中允许的电压曲线以及考虑负载和风力涡轮机等网络组件的不确定性。方法/统计分析：基于改进的重构技术，提出了一种考虑风力涡轮机（WT）的配电馈线重构（DFR）和电容器放置的新方法。所采用的DFR方法基于单回路重新配置方法，该方法在每个回路中选择最佳分支以实现最大程度的损耗减少。此外，通过使用优化算法来优化循环选择的顺序。研究结果：提出了一种联合优化算法，以结合电容器放置和改进的网络重新配置。这是由于这些方法之间固有的耦合关系，因此，与单独考虑它们相比，同时实现它们更有效。对于所提出方法的更实际应用，已经考虑了网络的负载和风力涡轮发电机的随机性。针对提出的联合优化问题，采用了基于教学的优化（TLBO）算法，并将其结果与PSO和GA进行了比较。提出了目标函数，以考虑总线电压和导体的载流能力的限制，在2年内将由于电容器放置和能量损失而导致的总成本降至最低。获得的结果证实了该方法的有效性。应用/改进：考虑到网络的随机性，并针对所提出的优化问题采用TLBO算法，同时实现电容器放置和重新配置方法。

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