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首页> 外文期刊>Energy systems >SMART-Invest: a stochastic, dynamic planning for optimizing investments in wind, solar, and storage in the presence of fossil fuels. The case of the PJM electricity market
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SMART-Invest: a stochastic, dynamic planning for optimizing investments in wind, solar, and storage in the presence of fossil fuels. The case of the PJM electricity market

机译：SMART-Invest：一种随机，动态的计划，用于在存在化石燃料的情况下优化对风能，太阳能和存储的投资。 PJM电力市场案例

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摘要

In this paper, we present a stochastic dynamic planning model called SMART-Invest, which is capable of optimizing investment decisions in different electricity generation technologies. SMART-Invest consists of two layers: an optimization outer layer and an operational core layer. The operational model captures hourly variations of wind and solar over an entire year, with detailed modeling of day-ahead commitments, forecast uncertainties and ramping constraints. The outer layer requires optimizing an unknown, non-convex, non-smooth, and expensive-to-evaluate function. We present a stochastic search algorithm with an adaptive stepsize rule that can find the optimal investment decisions quickly and reliably. By properly capturing the marginal cost of investments in wind, solar and storage, we feel that SMART-Invest produces a more realistic picture of an optimal mix of wind, solar and storage, resulting in a tool that can provide more accurate guidance for policy makers.
机译：在本文中，我们提出了一种称为SMART-Invest的随机动态规划模型，该模型能够优化不同发电技术中的投资决策。 SMART-Invest由两层组成：优化外层和运营核心层。该运营模型捕获了整年中风和太阳能的每小时变化，并对日前承诺，预测的不确定性和严格的约束进行了详细建模。外层需要优化未知，非凸，非平滑且评估成本高的功能。我们提出了一种具有自适应步长规则的随机搜索算法，该规则可以快速，可靠地找到最佳投资决策。通过适当地把握风能，太阳能和储能投资的边际成本，我们认为SMART-Invest可以更真实地反映风能，太阳能和储能的最佳组合，从而可以为决策者提供更准确的指导。

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  • 来源
    《Energy systems》 |2018年第2期|277-303|共27页
  • 作者

    Javad Khazaei; Warren B. Powell;

  • 作者单位

    Department of Operations Research and Financial Engineering, Princeton University;

    Department of Operations Research and Financial Engineering, Princeton University;

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