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The impact of electricity tariffs on residential demand side flexibility: results of bottom-up load profile modeling

机译:电价对住宅需求侧灵活性的影响:自下而上的负荷曲线建模结果

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Energy systems based on renewable energy sources require increasing demand side flexibility. Also, changes in the underlying cost structure, i.e., decreasing variable costs and increasing infrastructure investments as well as varying consumer needs should be reflected in the setup of future markets, including retail markets and tariffs. While various studies focus solely on tariffs with variable energy prices to leverage residential demand side flexibility, we incorporate tariffs with capacity-based price components in our analysis. The latter enable electricity providers to offer more differentiated tariffs, considering individual consumer needs and a balanced cost allocation. To compare the impact of different tariffs on residential demand side flexibility, we develop a bottom-up load model. This model not only simulates but also optimizes residential load profiles in the presence of different tariffs. The model is calibrated based on data from a large-scale field trial. Our results show that tariffs with variable energy prices induce larger demand side flexibility, but the impact of tariffs with variable capacity prices is more predictable and reliable from a suppliers perspective. Potential regulatory adjustments are identified enabling sustainable business models, rewarding demand side flexibility and facilitating the technical implementation.
机译:基于可再生能源的能源系统需要增加需求方的灵活性。而且,基本成本结构的变化,即降低可变成本和增加基础设施投资以及变化的消费者需求,应反映在包括零售市场和关税在内的未来市场的建立中。虽然各种研究仅关注具有可变能源价格的电价,以利用住宅需求方面的灵活性,但我们在分析中将电价与基于容量的价格成分结合在一起。考虑到个人消费者的需求和均衡的成本分配,后者使电力供应商能够提供更具差异性的电价。为了比较不同关税对住宅需求侧灵活性的影响,我们开发了自下而上的负荷模型。该模型不仅可以模拟,而且可以在存在不同关税的情况下优化住宅的负荷曲线。该模型基于大规模现场试验的数据进行了校准。我们的结果表明,可变能源价格的关税带来了更大的需求侧灵活性,但是从供应商的角度来看,可变容量价格的关税的影响更加可预测和可靠。确定潜在的监管调整,以实现可持续的业务模型,奖励需求方的灵活性并促进技术实施。

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