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Stochastic Joint Optimization of Wind Generation and Pumped-Storage Units in an Electricity Market

机译:电力市场中风力发电和抽水蓄能机组的随机联合优化

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One of the main characteristics of wind power is the inherent variability and unpredictability of the generation source, even in the short-term. To cope with this drawback, hydro pumped-storage units have been proposed in the literature as a good complement to wind generation due to their ability to manage positive and negative energy imbalances over time. This paper investigates the combined optimization of a wind farm and a pumped-storage facility from the point of view of a generation company in a market environment. The optimization model is formulated as a two-stage stochastic programming problem with two random parameters: market prices and wind generation. The optimal bids for the day-ahead spot market are the ldquohere and nowrdquo decisions while the optimal operation of the facilities are the recourse variables. A joint configuration is modeled and compared with an uncoordinated operation. A realistic example case is presented where the developed models are tested with satisfactory results.
机译:风力发电的主要特征之一是发电源的固有可变性和不可预测性,即使在短期内也是如此。为了克服该缺点,文献中提出了水力抽水蓄能机组,因为它们能够随着时间的推移管理正负能量失衡,因此是风力发电的良好补充。本文从市场环境中的发电公司的角度研究了风电场和抽水蓄能设施的组合优化。该优化模型被公式化为具有两个随机参数的两阶段随机规划问题:市场价格和风力发电。日间现货市场的最佳报价是“当前”和“当前”的决策,而设施的最佳运行是资源的变量。对联合配置进行建模,并将其与不协调的操作进行比较。给出了一个实际的示例案例,其中对开发的模型进行了测试,结果令人满意。

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