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A Fast Flexibility-Driven Generation Portfolio Planning Method for Sustainable Power Systems

机译:可持续电力系统的快速灵活性驱动生成产品组合规划方法

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摘要

We are witnessing an acceleration in the uptake of renewable energy in power systems. Because of the associated variability and uncertainty of renewables, power systems need to have an adequate supply of flexibility to allow for suitable management of short-term operations. So far most of the work in this area has neglected how flexibility needs associated with renewables are fulfilled as part of dispatchable generation capital investments decisions. To address this challenge, we propose an approach to plan the dispatchable generation mix of a power system as needed to counteract variability and uncertainty associated with significant shares of variable renewable generation. The approach exploits the linear time-invariant feature of variable generation variability using historical phase planes of capacity (in MW) and ramp (in MW/min) to bridge the gap between long-term capacity planning and short-term intra-hour flexibility needs. This approach is much more computationally tractable than other proposals, while also being able to capture adequately short-term operational features like ramping and net load variability. Numerical tests are performed on realistic datasets to substantiate the effectiveness of the approach.
机译:我们目睹了电力系统中可再生能源的加速度。由于可再生能源的相关变异性和不确定性,电力系统需要具有足够的灵活性供应,以便适当地管理短期操作。到目前为止,这一领域的大部分工作都忽略了与可再生能源相关的灵活性需求,作为可传播的发电资本投资决策的一部分。为了解决这一挑战,我们提出了一种方法,以规划电力系统的调度发电组合,以抵消与可变可再生生成的大量份额相关的可变性和不确定性。该方法利用可变变化的线性时间不变特征,使用容量(MW)和斜坡(在MW / min中)来弥合长期容量规划和短期内部灵活性之间的差距。这种方法比其他提案更具资金易行,而且还能够捕获充分的短期操作特征,如斜坡和净负载变异性。对现实数据集进行数值测试,以证实该方法的有效性。

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