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Study on Bidding Strategies of Power Suppliers with Asymmetric Generation Capacity

机译:具有不对称发电能力的电力供应商竞标策略研究

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This work deals with strategies optimization for suppliers in the electricity market characterized by the presence of a large supplier competing against small suppliers acting as a fringe. Power bidding is a game process with incomplete information for costs are unknown to competitors. Based on the hypothesis that the supplier's bidding strategy is a function of cost, the market clearing price is an order statistic according to the settlement procedure. Then the optimal bidding models are presented with Bayesian game principle, and the optimal bidding strategies of suppliers are deduced by using optimization theory. The theoretical results suggest that truthful bidding is not an optimal reply for the big supplier even when all the opponents follow that strategy, but his bid is always above the cost and is increasing in cost. The expression of the large supplier's bidding strategy indicates that it is affected by the number of power suppliers, the total quantity of demand, the suppliers' generation capacity, and the distribution assumed for the small suppliers' costs. Moreover, the degree of generation capacity asymmetry among power suppliers have significantly effect on the large supplier's bidding behavior. At last, a simple numerical example is presented to illustrate the presented method.
机译:这项工作涉及电力市场中供应商的策略优化,其特征在于,由于大量的供应商竞争,对抗作为边缘的小供应商的竞争。电力竞标是竞争对手的成本不完整信息的游戏过程。根据供应商招标策略的假设是成本的函数,市场清算价格是根据结算程序的统计。然后,使用贝叶斯游戏原理提出了最佳竞标模型,利用优化理论推断供应商的最佳竞标策略。理论结果表明,即使所有对手遵循这种策略,他的竞标也不是对大供应商的最佳答复,但他的出价总是高于成本,并且成本越来越大。大型供应商竞标策略的表达表明它受到电力供应商数量,需求总量,供应商的发电能力的影响,以及为小供应商成本承担的分布而受到影响。此外,电力供应商之间的发电量不对称程度对大量供应商的竞标行为有显着影响。最后,提出了一个简单的数值例子以说明所提出的方法。

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