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首页> 外文期刊>ETEP-European Transactions on Electrical Power >Optimal bidding strategy of coordinated wind power and gas turbine units in real-time market using conditional value at risk
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Optimal bidding strategy of coordinated wind power and gas turbine units in real-time market using conditional value at risk

机译:具有风险条件值的实时风电与燃气轮机机组实时市场最优竞价策略

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摘要

Nowadays, the incorporation of wind power in electrical grids and electricity markets is grown. Due to the fluctuation of wind speed, one of the main challenges of wind power would be selling power directly to the wholesale markets. A method for solving this challenge is coordination of wind power with energy storages, cascaded hydro, or gas turbine units in bidding strategy and operation. By coordinating with gas turbine units, wind power can be incorporated in real-time markets with fewer capital costs. In this paper, a stochastic bi-level optimization is proposed for coordinated wind power and gas turbine units in the real-time market. The uncertainties of wind power, demands, rivals' biddings, and limitations of natural gas are considered. The optimal bidding strategy is determined by adding a barrier term into the objective function of the proposed optimization model. The added term is based on the concept of conditional value at risk.
机译:如今,风力发电在电网和电力市场中的整合正在增长。由于风速的波动,风力发电的主要挑战之一将是直接向批发市场出售电力。解决这一挑战的一种方法是在投标策略和运营中将风能与储能装置,水力发电或燃气轮机单元进行协调。通过与燃气轮机单元配合,可以将风能以较少的资本成本并入实时市场。本文提出了一种针对实时市场中风电和燃气轮机机组协调的随机双层优化方法。考虑了风力发电的不确定性,需求,竞争对手的出价以及天然气的限制。通过将障碍项添加到所建议优化模型的目标函数中,可以确定最佳出价策略。添加的术语基于条件风险值的概念。

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