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A Risk-Based Decision Framework for the Distribution Company in Mutual Interaction With the Wholesale Day-Ahead Market and Microgrids

机译:与批发日市场相互互动的配送公司的基于风险的决策框架和微电网

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摘要

One of the emergent prospects for active distribution networks (DN) is to establish new roles to the distribution company (DISCO). The DISCO can act as an aggregator of the resources existing in the DN, also when parts of the network are structured and managed as microgrids (MGs). The new roles of the DISCO may open the participation of the DISCO as a player trading energy in the wholesale markets, as well as in local energy markets. In this paper, the decision making aspects involving the DISCO are addressed by proposing a bilevel optimization approach in which the DISCO problem is modeled as the upper-level problem and the MGs problems and day-ahead wholesale market clearing process are modeled as the lower-level problems. To include the uncertainty of renewable energy sources, a risk-based two-stage stochastic problem is formulated, in which the DISCO's risk aversion is modeled by using the conditional value at risk. The resulting nonlinear bilevel model is transformed into a linear single-level one by applying the Karush-Kuhn-Tucker conditions and the duality theory. The effectiveness of the model is shown in the application to the IEEE 33-bus DN connected to the IEEE RTS 24-bus power system.
机译:积极分配网络(DN)的新展望之一是为分销公司(迪斯科)建立新的角色。迪斯科舞厅可以充当DN中存在的资源的聚合器,而且当网络的某些部件被构造并管理为微普(MGS)时,也可以充当DN中的资源。迪斯科舞厅的新角色可能会使迪斯科舞厅作为批发市场中的播放能量以及当地能源市场的参与。在本文中,通过提出迪斯科问题被建模为上级问题的偶极优化方法来解决涉及迪斯科舞厅的决策方面,并且MGS问题和日前批发市场清除过程被建模为下部 - 水平问题。为了包括可再生能源的不确定性,制定了一种基于风险的两阶段随机问题,其中迪斯科的风险厌恶是通过使用风险的条件价值进行建模的。通过应用Karush-Kuhn-Tucker条件和二元理论,将所得到的非线性彼得型模型转换成线性单级。该模型的有效性在应用于连接到IEEE RTS 24总线电力系统的IEEE 33总线DN的应用中。

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