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SHORT-MID-TERM POWER PREDICTION OF PHOTOVOLTAIC ARRAY BASED ON CLOUDS TRACKING IN REAL TIME

机译:基于云实时跟踪的光伏阵列短期中期功率预测

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The research includes the energy efficiency and smart utilization of photovoltaic (PV) panelsdepending on shadows made by clouds which has major influence to the final production of electrical energygenerated by PV array. The maximum produced power that PV source is able to provide has been reached by trackingthe clouds in real time and registering the shadow effect. Production of PV arrays on a cloudy day is directlydependent on the path of the sun, cloud geometry and location of photovoltaic array. Based on the estimated cloudmovements and their geometry and already known the sun trajectory, prediction of the time duration ofovershadowing the photovoltaic array location has been done. Within the research the solution that shows the secureprediction and planning of solar power production as the significance and relevance of this paper has been reached,taking into consideration the influences of shadows of the cloud that affect the photovoltaic efficiency and finalpower production. Hence, within power systems with large scale PV integration the proposed system obtain anoptimal power balancing reserve management and within isolated hybrid systems that includes PV panels; the systemcan be utilized for load management system and optimal usage of diesel aggregate.
机译:研究包括光伏面板的能效和智能利用 取决于对最终电能产生重大影响的云层阴影 由光伏阵列产生。通过跟踪已达到光伏电源能够提供的最大发电量 实时显示云并记录阴影效果。直接在阴天生产光伏阵列 取决于太阳的路径,云的几何形状和光伏阵列的位置。基于估计的云 运动及其几何形状,以及已知的太阳轨迹,预测持续时间 使光伏阵列的位置盖过阴影。在研究范围内显示安全性的解决方案 达到了本文的意义和相关性,对太阳能发电量进行了预测和规划, 考虑云影的影响影响光伏效率和最终 电力生产。因此,在具有大规模光伏集成的电力系统中,拟议的系统获得了 最佳的功率平衡储备管理,以及在包括光伏面板的隔离式混合系统中;系统 可用于负荷管理系统和柴油骨料的最佳使用。

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