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A Comparative Study on the Bidding Behaviour of Pay as Bid and Uniform Price Electricity Market Players

机译:有价竞价行为与电价市场参与者的竞价行为比较研究

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Electricity market price profile is reasonable if in the high demand times, the higher prices are observed and vice versa. The System Capacity Margin (SCM) demonstrates the abundance of electricity in the wholesale electricity market. Naturally, higher SCM causes to lower price but, behavior distortions have been frequently addressed in the literature. In this paper, we study the overall producers' bidding behaviors participating in Iran Electricity Market (IEM) as the low wind penetrated case and the Danish Electricity Market (DEM) as a high wind penetrated case. An index is introduced to describe the overall market players' behaviors. Then, using adaptive Neurofuzzy inference system, a model for the overall bidding behavior is derived. The actual data of a real electricity market (IEM) are analyzed. Although the total trend of prices is descending while the SCM increases, the results show some unexpected behaviors in IEM. Finally, the overall biding behavior in IEM is compared with DEM. Markov transition probability matrices are used to measure the variability of the market behavior in DEM. According to the results, mitigation approaches are proposed for IEM to release the market tightness problems.
机译:如果在高需求时间内,观察到较高的价格,则电力市场价格曲线是合理的,反之亦然。系统容量裕度(SCM)展示了电力批发市场中的大量电力。自然,较高的供应链管理会导致较低的价格,但是在文献中经常会解决行为失真的问题。在本文中,我们研究了作为低风速渗透案例的伊朗电力市场(IEM)和作为高风速渗透案例的丹麦电力市场(DEM)的总体生产商投标行为。引入了一个指标来描述整体市场参与者的行为。然后,使用自适应Neurofuzzy推理系统,得出总体出价行为的模型。分析了实际电力市场(IEM)的实际数据。尽管随着SCM的增加,价格的总体趋势正在下降,但结果表明IEM中出现了一些意外行为。最后,将IEM中的总体出价行为与DEM进行比较。马尔可夫转移概率矩阵用于度量DEM中市场行为的变异性。根据结果​​,为IEM提出了缓解方法,以消除市场紧缩问题。

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