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首页> 外文期刊>IEEE Transactions on Robotics >Wholesale Power Price Dynamics Under Transmission Line Limits: A Use of an Agent-Based Intelligent Simulator
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Wholesale Power Price Dynamics Under Transmission Line Limits: A Use of an Agent-Based Intelligent Simulator

机译：输电线路限制下的批发电价动态：基于代理的智能模拟器的使用

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摘要

This research proposes a use of an agent-based intelligent simulator to numerically examine the influence of a transmission line limit on the dynamics of a wholesale power market. In the proposed simulator, all agents are equipped with learning capabilities. The power market is structured by multiple zones connected by transmission lines. The following business implications are found in this study. 1) The learning speed of reinforcement learning depends upon a dynamic change of market price. 2) The marketprice and volatility of electricity is increased by a line limit. The increase is influenced by not only a capacity limit but also a zone structure and an amount of demand. 3) The average price and volatility of electricity are influenced by the number of capacity-limited links. 4) There is no major difference between day-ahead (DA) and real-time (RT) markets in terms of the influence of a line limit. 5) There is a slightly increasing trend in average DA and RT market prices along with the percentage reduction of a current line limit.
机译：这项研究提出了使用基于代理的智能仿真器，以数字方式检查输电线路极限对批发电力市场动态的影响。在建议的模拟器中，所有座席都具备学习能力。电力市场由通过传输线连接的多个区域构成。在这项研究中发现以下业务含义。 1）强化学习的学习速度取决于市场价格的动态变化。 2）电力的市场价格和波动性增加了线路限制。该增加不仅受容量限制的影响，还受区域结构和需求量的影响。 3）电力的平均价格和波动性受容量限制链路的数量影响。 4）就行数限制的影响而言，日前（DA）市场与实时（RT）市场之间没有重大差异。 5）随着当前行数限制的百分比降低，平均DA和RT市场价格略有上升。

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