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Stochastic optimisation-based valuation of smart grid options under firm DG contracts

机译:基于随机优化的企业DG合约下智能电网期权评估

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摘要

Under the current EU legislation, Distribution Network Operators (DNOs) are expected to provide firm connections to new DG, whose penetration is set to increase worldwide creating the need for significant investments to enhance network capacity. However, the uncertainty around the magnitude, location and timing of future DG capacity renders planners unable to accurately determine in advance where network violations may occur. Hence, conventional network reinforcements run the risk of asset stranding, leading to increased integration costs. A novel stochastic planning model is proposed that includes generalized formulations for investment in conventional and smart grid assets such as Demand-Side Response (DSR), Coordinated Voltage Control (CVC) and Soft Open Point (SOP) allowing the quantification of their option value. We also show that deterministic planning approaches may underestimate or completely ignore smart technologies.
机译:根据当前的欧盟法律,预计配电网络运营商(DNO)将与新的DG建立牢固的联系,而DG的普及率将在全球范围内扩大,因此需要大量投资来增强网络容量。但是,未来DG容量的大小,位置和时间的不确定性使计划人员无法提前准确确定可能发生网络违规的地方。因此,传统的网络加固存在资产搁浅的风险,从而导致集成成本增加。提出了一种新颖的随机计划模型,该模型包括用于常规和智能电网资产投资的通用公式,例如需求侧响应(DSR),协调电压控制(CVC)和软开放点(SOP),可以量化其期权价值。我们还表明,确定性计划方法可能会低估或完全忽略智能技术。

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