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首页> 外文期刊>Renewable Power Generation, IET >Equilibrium state of a price-maker energy hub in a competitive market with price uncertainties
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Equilibrium state of a price-maker energy hub in a competitive market with price uncertainties

机译：价格制造商能源中心的均衡状态在竞争激烈的市场中的价格不确定性

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摘要

This study proposes the optimal bidding of a price-maker energy hub. It employs game theory for optimal bidding strategy in a competitive and equilibrium market. The high flexibility of the energy hub helps it to make a profit from participation in the energy market. This price-maker energy hub has some energy converters and combined heat and power to deliver energy to its loads. The strategy is that the proposed energy hub maximises its profit with the presence of other rival energy hubs. There are price uncertainties modelled by the Monte Carlo simulation. Incomplete information in the competitive market is modelled by the game theory, which causes the problem to be stochastic and equilibrium programming. The proposed solution for this problem uses stochastic bi-level programming. The optimal bidding strategy of price-maker energy hub is modelled in the upper level, and modelling of market clearance is at the lower level. The proposed algorithm has been evaluated in comparative case studies. The obtained results show the efficiency of the equilibrium environment in profit maximisation. The effect of price uncertainty in profit maximisation is also compared with the deterministic case study.
机译：本研究提出了价格制造商能量枢纽的最佳竞标。它采用了竞争性和均衡市场中最佳竞标策略的博弈论。能量枢纽的高度灵活性有助于它从参与能源市场中获益。该价格制造商能量枢纽具有一些能量转换器和综合热量和动力，以向其负载提供能量。该策略是，拟议的能源集线器通过其他竞争对手能源中心的存在最大化其利润。 Monte Carlo模拟有价格不确定性。竞争市场中的不完整信息是由博弈论建模的，这导致问题是随机和平衡编程。该问题的提议解决方案使用随机双级编程。价格制造能量集线器的最佳竞标策略在上层建模，市场间隙建模处于较低水平。在比较案例研究中已经评估了所提出的算法。获得的结果表明了利润最大化的均衡环境的效率。与确定性案例研究相比，价格不确定性在利润最大化的影响。

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