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Yearly Estimationof Substation Energy SavingswithSmart Enabled CVRin Distribution NetworkandPhotovoltaicInverter

机译:每年估计变电站节能储蓄耗能,启用了CVRIN分布NetWorkandBovoldaicverter

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Load demands are increasing in distribution networks these days because of their wide use inresidential, commercial, and industrial sectors, and thus losses in distribution lines are rising. It is a matter of worry for Distribution Network Operators (DNO). This issue can be resolved by increasing integration of renewable energy sources in the distribution systems to satisfy the growing electricity needs. Besides, advanced energy-efficient technologies such as Conservation Voltage Reduction (CVR) are considered to reduce the substation demand by regulating the voltage in a lower voltage regulation range (120-114)V, keeping voltage of the customer devices in permissible voltage limits. To attain higher substation energy savings, smart PV inverter Volt-VAr control has been incorporated. Time series simulation has been performed in OpenDSS environment for yearly load demand.i.e., 8760 hours of customers. The impact of seasonal variation of PV system characteristics has been examined on IEEE 13 node three-phase unbalanced distribution network along with voltage-dependent load model. Significance of this work has been proved by a comparative analysis of various case studies to analyze the impact of CVR on a yearly basis in combination with a smart PV inverter.
机译:由于广泛使用,商业和工业部门,负载需求在分销网络中越来越多,因此分销线的损失正在上升。分发网络运营商(DNO)是担心的。可以通过增加分配系统中可再生能源的整合来解决这个问题,以满足不断增长的电力需求。此外,通过调节较低电压调节范围(120-114)V中的电压,将诸如较低电压调节范围(120-114)V中的电压,在允许的电压限制中保持电压来降低变电站需求的先进节能技术。为了获得更高的变电站节能,智能光伏逆变器VAL控制已被纳入。时间序列仿真已经在每年加载需求中进行了开口环境。我的8760小时。在IEEE 13节点三相不平衡分配网络以及电压依赖性负载模型中,研究了光伏系统特性的季节变化的影响。通过对各种案例研究的比较分析,已经证明了这项工作的重要性,以分析CVR的影响与智能光伏逆变器的结合分析CVR的影响。

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