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Optimal strategy of users' power consumption forecast based on repeated game model

机译:基于重复博弈模型的用户用电量预测优化策略

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To prevent the power shortage phenomenon during electricity peak-demand period, utility companies may control the users' power consumption of this period by establishing a price-consumption function and a penalty system. Moreover, users may minimize their electricity expenditures through power consumption forecast strategy of day-ahead market under the new electricity price system. When it comes to entering into rivalry with other users over reasonable electricity price, we establish a repeated game model transforms dynamic game of incomplete information into the static of complete information, solve the equilibrium problem and obtain the optimal strategy. In addition, we also mention that one of the ways users take to reduce power consumption during the peak period is transferring load, avoiding the resulted instability of trough.
机译:为了防止在用电高峰时段出现电力短缺现象,公用事业公司可以通过建立价格消耗函数和罚款制度来控制该时段用户的用电量。此外,在新的电价制度下,用户可以通过日前市场的用电量预测策略来最大程度地减少用电支出。当要以合理的电价与其他用户竞争时,我们建立了一个重复博弈模型,将不完全信息的动态博弈转换为完全信息的静态,解决了均衡问题并获得了最优策略。此外,我们还提到用户在高峰时段减少功耗的一种方法是转移负载,避免由此造成的波谷不稳定性。

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