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On the reliability gain of neighborhood coalitions: A data-driven study

机译：关于邻里联盟的可靠性获得：数据驱动的研究

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One of the major challenges of the future power systems is managing the substantial unreliability and unpredictability induced by the large share of renewables. As one of the promising solutions, energy cooperatives have recently drawn attention. Unlike most of the existing proposed strategies (e.g., storage), there is not much known yet about the practical importance of energy cooperatives. Taking a data-driven approach, we quantify the power variability reduction (which we also call the reliability gain) for three neighborhood level types of cooperatives: energy generation, energy demand, and energy prosumer. We show how the reliability is scaled by the size of coalition and the time scale for these three energy cooperatives. We gain several interesting insights which are vital for designing and planning neighborhood level energy cooperatives. For example, we find that energy demand cooperatives have the largest reliability gain among all. Using the central limit theorem asymptotic results, we show that the demand energy variations up to 15 minutes of different homes are almost independent of each other. We also find that small coalitions of sizes 10 and 20, respectively, for energy demand and energy prosumer cooperatives are sufficient to capture most of the reliability gain of the grand coalition. For the special case of energy generation cooperatives, our results differ from an existing empirical study (in the context of geographical diversity) at a different location, suggesting that designing an efficient energy generation cooperative is jurisdiction-dependent.
机译：未来电力系统的主要挑战之一是管理由大量可再生能源引起的严重的不可靠性和不可预测性。作为有希望的解决方案之一，能源合作社最近受到关注。与大多数现有的拟议策略（例如存储）不同，关于能源合作社的实际重要性还知之甚少。我们采用数据驱动的方法，对合作社的三种邻域级别类型（功率产生，能量需求和能量生产者）的功率可变性降低量（我们也称为可靠性增益）进行了量化。我们展示了这三个能源合作社如何通过联盟规模和时间规模来衡量可靠性。我们获得了一些有趣的见解，这些见解对于设计和规划社区级能源合作社至关重要。例如，我们发现能源需求合作社在所有情况下具有最大的可靠性提升。使用中心极限定理渐近结果，我们显示了不同房屋长达15分钟的需求能量变化几乎彼此独立。我们还发现，规模分别为10和20的小型联盟（分别用于能源需求和生产者合作社）足以捕获大型联盟的大部分可靠性收益。对于特殊情况下的发电合作社，我们的结果与在不同位置的现有经验研究（在地理多样性的背景下）不同，这表明设计高效的发电合作社取决于管辖范围。

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