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Stochastic approach to represent distributed energy resources in the form of a virtual power plant in energy and reserve markets

机译:在能源和储备市场中以虚拟电厂的形式表示分布式能源的随机方法

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摘要

Today, traditional networks are changing to active grids due to the burgeoning growth of distributed energy resources (DER), which demands scrupulous attention to technical infrastructures, as well as economic aspects. In this study, from economic point of view, the aggregation of DERs in a distribution network to participate in joint energy and reserve markets is investigated. This approach, which is predicated upon price-based unit commitment method, has considered virtually all the technical data in the proposed model. It is worth to mention that uncertainties of loads and market prices, as an inherent characteristic of the electricity markets, are treated in this study, and their effect on the operation of virtual power plants in energy and reserve markets has been thoroughly discussed. To this end, for both uncertain parameters, a good number of scenarios are generated and using the backward reduction method the number of these scenarios is reduced. The problem is formulated as a MINLP model and is implemented in GAMS software, while its authenticity is validated using particle swarm optimisation method.
机译:如今,由于分布式能源(DER)的迅速增长,传统网络正在转变为活动电网,这需要对技术基础设施以及经济方面的关注。在本研究中,从经济角度出发,研究了分布式能源在分布式网络中参与联合能源和储备市场的DER总量。该方法基于基于价格的单位承诺方法,实际上已经考虑了建议模型中的所有技术数据。值得一提的是,本研究将负荷和市场价格的不确定性作为电力市场的内在特征进行了处理,并且已经充分讨论了它们对能源和储备市场中虚拟电厂运行的影响。为此,对于两个不确定参数,都生成了大量场景,并且使用后向归约方法减少了这些场景的数量。该问题被公式化为MINLP模型并在GAMS软件中实现,同时使用粒子群优化方法验证了其真实性。

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