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Smart Grid Stability Analysis on Smart Demand Load Response in Coordinated Network

机译:协同网络中智能需求负载响应的智能电网稳定性分析

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The modern electric grid is developing through smart grid network and at the particular demand load response a smart grid network is affected the efficiency of the overall grid system is a key factor of system analysis. Due to the traditional loading of grid network it is often excessive in cost and so estimation of smart power grid network is increasing day by day through mathematical modeling tools which is reducing operating time and cost. Furthermore, the proposed smart model can also reduce computing costs together with time concern than more accurate problem representation in classical orientation. This paper establishes a Stability analysis on IEEE model power network using demand respond monthly data of West Bengal Power scenario and illustrates its feasibility. The obtained results are verified with the standard mathematical approximation. We would shortly summarize in our paper the approach of physical application, calculation procedure and difference types of stability possibilities that are illustrated in detail in the references. Load modelling is also applied when demand needs to be shifted from generator to generator at point of response in our experimental investigation that results in the informational value and reliability of the different indices. The method of the experimentation was compared with the different index values observed by numerical simulation in time domain on realistic sample network. Aim of this work is to enhance stability methods for calculating on different cases through smart network planning, operation control and to provide a possibility of realtime monitoring system of stability for power dispatcher.
机译:现代电网正在通过智能电网网络发展,并且在特定的需求负载响应下,智能电网网络会影响整个电网系统的效率,这是系统分析的关键因素。由于传统的电网负载,通常成本过高,因此通过数学建模工具对智能电网的估算日益增加,这减少了运行时间和成本。此外,与经典方向上更准确的问题表示相比,所提出的智能模型还可以减少计算成本以及时间问题。本文利用西孟加拉邦电力情景的需求响应月数据建立了IEEE模型电力网络的稳定性分析,并说明了其可行性。所获得的结果通过标准的数学近似进行验证。我们将在本文中简要概述物理应用的方法,计算过程和稳定性可能性的差异类型,这些在参考文献中进行了详细说明。在我们的实验研究中,当需求需要在响应点从一个发电机转移到另一个发电机时,也会应用负载建模,这会导致不同指标的信息价值和可靠性。将实验方法与实际样本网络上时域数值模拟观察到的不同指标值进行了比较。这项工作的目的是通过智能网络规划,操作控制来增强用于在不同情况下进行计算的稳定性方法,并为电力调度员提供稳定性实时监控系统的可能性。

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