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Accuracy Improvement Method of Energy Storage Utilization with DC Voltage Estimation in Large-Scale Photovoltaic Power Plants

机译:大规模光伏发电厂DC电压估计能量储存利用精度改进方法

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摘要

In regard to electric devices, currently designed large-scale distributed generation systems require a precise prediction strategy based on the composition of internal component owing to an environmental fluctuating condition and forecasted power variation. A number of renewable resources, such as solar or marine based energies, are made up of a low voltage direct current (DC) network. In addition to actively considering a power compensation plan, these generation systems have negative effects, which can be induced to a connected power system. When a storage is connected to a DC-based generation system on an inner network along with other generators, a precise state analysis plan should back the utilization process. This paper presents a cooperative operating condition, consisting of the shared DC section, which includes photovoltaic (PVs) and energy storage devices. An active storage management plan with voltage-expectation is introduced and compared via a commercialized electro-magnetic transient simulation tool with designed environmental conditions. Owing to their complexity, the case studies were sequentially advanced by dividing state analysis verification and storage device operation.
机译:关于电气设备,目前设计的大型分布生成系统需要基于环境波动条件和预测功率变化的内部部件的组成需要精确的预测策略。许多可再生资源,如太阳能或船用的能量,由低压直流(DC)网络组成。除了积极考虑功率补偿计划之外,这些发电系统还具有负面影响,可以被引导到连接的电力系统。当存储在内部网络上连接到基于DC的生成系统以及其他生成器时,应将精确的状态分析计划应备份利用过程。本文介绍了由共享DC部分组成的协作操作条件,包括光伏(PVS)和能量存储装置。通过具有设计环境条件的商业化电磁瞬态仿真工具,引入并比较了具有电压预期的有源存储管理计划。由于它们的复杂性,通过划分状态分析验证和存储设备操作来顺序地提前进行案例研究。

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