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On the utility death spiral and the impact of utility rate structures on the adoption of residential solar photovoltaics and energy storage

机译:公用事业的死亡螺旋效应以及公用事业费率结构对住宅太阳能光伏发电和储能的采用的影响

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Today, many electric utilities are changing their pricing structures to address the rapidly-growing market for residential photovoltaic (PV) and electricity storage technologies. Little is known about how the new utility pricing structures will affect the adoption rates of these technologies, as well as the ability of utilities to prevent widespread grid defection. We present a system dynamics model that predicts the retail price of electricity and the adoption rates of residential solar photovoltaic and energy storage systems. Simulations are run from the present day to the year 2050 using three different utility business models: net metering, wholesale compensation, and demand charge. Validation results, initialized with historical data for three different cities, agree well with expert forecasts for the retail price of electricity. Sensitivity analyses are conducted to investigate the likelihood of a "utility death spiral", which is a catastrophic loss of business due to widespread grid-defection. Results indicate that a utility death spiral requires a perfect storm of high intrinsic adoption rates, rising utility costs, and favorable customer financials. Interestingly, the model indicates that pricing structures that reduce distributed generation compensation support grid defection, whereas pricing structures that reward distributed generation (such as net metering) also reduce grid defection and the risk of a death spiral. (C) 2016 Elsevier Ltd. All rights reserved.
机译:如今,许多电力公司正在改变其定价结构,以应对迅速增长的住宅光伏(PV)和蓄电技术市场。对于新的公用事业定价结构将如何影响这些技术的采用率以及公用事业防止广泛的电网缺陷的能力知之甚少。我们提出了一种系统动力学模型,该模型可预测电力零售价格以及住宅太阳能光伏和储能系统的采用率。从今天到2050年,将使用三种不同的公用事业业务模型进行模拟:净计量,批发补偿和需求费用。验证结果由三个不同城市的历史数据初始化而成,与专家对电力零售价格的预测非常吻合。进行敏感性分析以调查“效用死亡螺旋”的可能性,这是由于广泛的电网缺陷造成的灾难性业务损失。结果表明,公用事业的死亡螺旋需要高内在采用率,公用事业成本上升和客户财务状况良好的完美风暴。有趣的是,该模型表明,减少分布式发电补偿的定价结构支持电网缺陷,而奖励分布式发电的定价结构(例如净计量)也可以降低电网缺陷和死亡螺旋风险。 (C)2016 Elsevier Ltd.保留所有权利。

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