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Optimal Operation by Controllable Loads Based on Smart Grid Topology Considering Insolation Forecasted Error

机译:考虑日照预测误差的基于智能电网拓扑的可控负荷最优运行

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摘要

From the perspective of global warming mitigation and depletion of energy resources, renewable energy such as wind generation (WG) and photovoltaic generation (PV) are getting attention in distribution systems. Additionally, all electric apartment houses or residence such as dc smart houses are increasing. However, due to the fluctuating power from renewable energy sources and loads, supply-demand balancing of power system becomes problematic. The smart grid is a solution to this problem. This paper presents a methodology for optimal operation of a smart grid to minimize the interconnection point power flow fluctuation. To achieve the proposed optimal operation, we use distributed controllable loads such as battery and heat pump. By minimizing the interconnection point power flow fluctuation, it is possible to reduce the electric power consumption and the cost of electricity. This system consists of a photovoltaic generator, heat pump, battery, solar collector, and load. To verify the effectiveness of the proposed system, results are used in simulation presented.
机译:从减轻全球变暖和能源消耗的角度来看,风力发电(WG)和光伏发电(PV)等可再生能源在配电系统中正受到关注。此外,所有的电动公寓房或住宅(例如dc智能房屋)都在增加。然而,由于来自可再生能源和负载的电力波动,电力系统的供需平衡成为问题。智能电网是解决此问题的方法。本文提出了一种用于智能电网最佳运行的方法,以最大程度地减小互连点的潮流波动。为了实现建议的最佳运行,我们使用分布式可控负载,例如电池和热泵。通过使互连点功率波动最小化,可以减少电力消耗和电力成本。该系统由光伏发电机,热泵,电池,太阳能收集器和负载组成。为了验证所提出系统的有效性,在仿真中使用了结果。

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