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Combined Impact of Network Reconfiguration and Volt-VAR Control Devices on Energy Savings in the Presence of Distributed Generation

机译:网络重新配置和Volt-VAR控制装置在分布式发电存在下节能的综合影响

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摘要

Reduction of energy consumption and energy losses is amajor concern of the distribution network operator in the present scenario. Traditionally, on-load tap changers, a shunt capacitor bank, and a voltage regulator have been employed as volt-var control (VVC) devices for savings in energy consumption and losses. In this paper, an efficient and optimally coordinated operation of traditional VVC devices, a distribution network reconfiguration (DNR), and a photovoltaic smart inverter (PVSI) for energy savings has been proposed. In order to achieve the optimal solution, a modified binary gray wolf optimization (MBGWO) algorithm has been proposed. Besides, the proposed method in association with PVSI droop control has been employed to control the voltage violations during cloudy day condition. Furthermore, the proposed method has been employed for service restoration considering voltage regulation and peak demand reduction under faulty condition. For validation, the performance of the proposed algorithm has been tested on balanced as well as unbalanced distribution systems. The test results demonstrate the significance of the DNR associated with VVC devices and PVSI for energy savings under different load models. Outcome of the proposed algorithm has been compared with other existing metaheuristic algorithms and test results demonstrate the benefit of the proposed method.
机译:减少能源消耗和能量损失是当前场景中分发网络运营商的担忧。传统上,有载振动变换器,分流电容器组和电压调节器已被用作Vol-Var控制(VVC)设备,以节省能耗和损失。在本文中,已经提出了一种高效且最佳地协调的传统VVC器件,分配网络重新配置(DNR)和用于节能的光伏智能逆变器(PVSI)。为了实现最佳解决方案,已经提出了改进的二进制灰狼优化(MBGWO)算法。此外,已经采用了与PVSI下垂控制相关联的所提出的方法来控制阴天条件期间的电压违规。此外,考虑在故障状态下,所提出的方法用于考虑电压调节和峰值需求的服务恢复。为了验证,已经在平衡和不平衡的分配系统上测试了所提出的算法的性能。测试结果表明,DNR与VVC器件和PVSI相关的DNR用于不同负载模型的节能。将算法的结果与其他现有的成群质算法进行比较,测试结果证明了该方法的益处。

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