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

机译:基于重复游戏模型的用户功耗预测的最优策略

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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:为了防止电力峰值需求期间的电力短缺现象,公用事业公司可以通过建立价格 - 消费函数和惩罚系统来控制本期用户的功耗。此外,用户可以通过新的电价系统下的日前市场的电力消耗预测策略来最大限度地减少其电力支出。在合理电价与其他用户进入竞争时,我们建立了一个重复的游戏模型将不完整信息的动态游戏转化为完整信息的静态,解决了均衡问题并获得了最佳策略。此外,我们还提及用户在峰值周期期间降低功耗的方式之一是转移负载,避免导致的槽的不稳定性。

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