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Optimal bidding strategy of a strategic wind power producer in the short-term market

机译:短期市场中战略性风电生产商的最优竞标策略

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摘要

Summary form only given. Wind energy is a clean and renewable energy source which is rapidly growing globally. As the penetration level of wind power grows, the system operators need to consider wind power producers as strategic producers whose bidding behaviors will have an impact on the locational marginal prices. This paper proposes a bilevel stochastic optimization model to obtain the optimal bidding strategy for a strategic wind power producer in the short-term electricity market. The upper-level problem of the model maximize the profit of the wind power producer while the lower-level problem represents the market clearing processes of both day-ahead and real-time markets. The uncertainties in the demand, the wind power production, and the bidding strategies of the strategic conventional power producers are represented by scenarios in the model. The conditional value at risk of the selected worst scenarios is included in the objective function for managing the risk due to uncertainties. By using the duality theory and Karush-Kuhn-Tucker condition, the bilevel model is transferred into a mixed-integer linear problem. Case studies are performed to show the effectiveness of the proposed model.
机译:仅提供摘要表格。风能是一种清洁的可再生能源,在全球范围内发展迅速。随着风能渗透水平的提高,系统运营商需要将风能生产商视为战略生产商,其竞标行为将对地方边际价格产生影响。本文提出了一种双层随机优化模型,以获取战略电力生产商在短期电力市场中的最优竞标策略。该模型的上层问题最大化了风电生产商的利润,而下层问题则代表了日前和实时市场的市场清算过程。该模型中的方案代表了需求,风力发电量以及战略性常规电力生产商的竞标策略方面的不确定性。所选最坏情况下的风险条件值包含在管理不确定性风险的目标函数中。通过使用对偶理论和Karush-Kuhn-Tucker条件,将双层模型转换为混合整数线性问题。进行案例研究以显示所提出模型的有效性。

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