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Data Center Demand Response in Deregulated Electricity Markets

机译:放松管制的电力市场中的数据中心需求响应

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With the development of deregulated electricity markets, a customer can enter a contract with one of several competing utility companies. Meanwhile, a utility company is motivated to increase its market share by helping its customers manage their energy usage and save money through demand response programs. In this paper, we study the demand response program in deregulated electricity markets for data centers that often have significant flexibility in workload scheduling. We consider the real-time pricing and model the data centers' coupled decisions of utility company choices and workload scheduling as a many-to-one matching game with externalities. To solve such a game, we show that it admits an exact potential function, whose local minima correspond to the stable outcomes of the game. We further develop a distributed algorithm that guarantees to converge to a stable outcome. Compared with the scenario without data centers' demand response, we show through simulation that the proposed algorithm can reduce the average contract payment of data centers by 18.7% and increase the revenue of the utility companies that offer lower electricity tariffs up to 80% by attracting more data centers as customers.
机译:随着放松管制的电力市场的发展,客户可以与几个竞争的公用事业公司之一签订合同。同时,有一家公用事业公司通过帮助客户管理能源使用并通过需求响应计划节省资金来提高其市场份额。在本文中,我们研究了数据中心放松管制的电力市场中的需求响应程序,这些数据中心通常在工作负荷调度方面具有很大的灵活性。我们考虑实时定价,并将数据中心对公用事业公司选择和工作负荷调度的耦合决策建模为具有外部性的多对一匹配游戏。为了解决这种游戏,我们证明了它接受了确切的潜在函数,其局部最小值对应于游戏的稳定结果。我们进一步开发了一种分布式算法,可以保证收敛到稳定的结果。与没有数据中心需求响应的情况相比,我们通过仿真表明,该算法可以吸引数据中心的平均合同付款减少18.7%,并通过吸引80%的电费将公用事业公司的收入提高作为客户的更多数据中心。

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