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SMOOTHING AND SHIFTING PV - APPLYING ENERGY STORAGE TO ENHANCE THE BENEFITS OF RENEWABLE ENERGY.

机译:平滑和移动光伏-应用能源存储以增强可再生能源的好处。

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Renewables and specifically photovoltaics (PV) are playing an ever increasing role in the resource mix for utilities across the nation. These resources pose new integration challenges compared to traditional generation. Higher penetrations of PV can lead to voltage instability due to intermittencies related to cloud cover and the output of PV is generally non-coincident to utility system load peaks. One prospective solution to this intermittency is battery energy storage, designed and controlled to smooth and shift PV output. At a recently commissioned project by the Public Service Co. of New Mexico (PNM), advanced lead acid batteries are utilized to shape the variable output of a 500kW PV resource to more beneficially impact the utility grid This ARRA/DOE funded Smart Grid Storage Project is testing and optimizing both smoothing and shifting capabilities of the batteries and their ability to create a dispatchable, firm and reliable renewable resource. As part of this project, detailed computer models of the local utility grid were first developed to further understand integration of the batteries and PV. The results of actual field operation, combined with the underlying models are presenting a clear path in terms of optimizing battery size, and control algorithms, as well as offering a benchmark for measuring the benefits of battery storage. These results, coupled with the optimization capabilities of the models will lend the industry key results that are translatable to a variety of PV installations.
机译:可再生能源,特别是光伏(PV)在全国公用事业的资源结构中扮演着越来越重要的角色。与传统一代相比,这些资源带来了新的集成挑战。由于与云层有关的间歇性,PV的较高穿透率可能导致电压不稳定,并且PV的输出通常与公用事业系统的负载峰值不符。解决这种间歇性的一种潜在解决方案是电池能量存储,其设计和控制可平滑和移动PV输出。在新墨西哥州公共服务公司(PNM)最近委托的一个项目中,先进的铅酸电池被用来塑造500kW光伏资源的可变输出,从而更有益地影响公用电网。这个由ARRA / DOE资助的智能电网存储项目正在测试和优化电池的平滑和移位功能,以及它们创建可调度,牢固和可靠的可再生资源的能力。作为该项目的一部分,首先开发了当地公用电网的详细计算机模型,以进一步了解电池和PV的集成。实际现场操作的结果与基础模型相结合,为优化电池尺寸和控制算法提供了一条清晰的道路,并提供了衡量电池存储效益的基准。这些结果,再加上模型的优化功能,将为行业关键结果提供可转换为多种光伏装置的结果。

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