面向未来电网场景的聚合需求响应模型
Aggregated Demand Response Modelling for Future Grid Scenarios
摘要：
随着间歇性可再生能源（RES）在未来电网（FG）中的渗透率增加，供需之间的平衡将更加依赖于需求响应（DR）和储能。因此，FG可行性研究需要考虑DR，以模拟净未来需求。在此背景下，本文提出了一种需求模型，它集成了DR的聚合效应在一个简化的表示市场/调度过程的效果，旨在最大限度地减少供应电能的总成本。传统的需求模型中的优化配方增加了包括众多用户配备屋顶光伏（PV）存储系统的聚合效应。该模型适用于在较高电压水平下的系统研究，其中用户被假定为价格预期者。作为一个案例研究，需求模型的影响进行了研究，在2020年的澳大利亚国家电力市场的负荷分布，平衡和负荷能力的增加，可再生能源的渗透。的结果进行了比较与需求模型中，用户被假定为价格接受者。
英文摘要：
With the increased penetration of intermittent renewable energy sources (RESs) in future grids (FGs), balancing between supply and demand will become more dependent on demand response (DR) and energy storage. Thus, FG feasibility studies will need to consider DR for modelling nett future demand. Against this backdrop, this paper proposes a demand model which integrates the aggregated effect of DR in a simplified representation of the effect of market/dispatch processes aiming at minimising the overall cost of supplying electrical energy. The conventional demand model in the optimisation formulation is augmented by including the aggregated effect of numerous users equipped with rooftop photovoltaic (PV)-storage systems. The proposed model is suited for system studies at higher voltage levels in which users are assumed to be price anticipators. As a case study, the effect of the demand model is studied on the load profile, balancing and loadability of the Australian National Electricity Market in 2020 with the increased penetration of RESs. The results are compared with the demand model in which users are assumed to be price takers.
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