基于需求的智能电网通信：何时询价？
Need-based Communication for Smart Grid: When to Inquire Power Price?
摘要：
在智能电网中，家用电器可以根据从通信信道获得的实时电价来调整其功率消耗水平。大多数智能电网的研究都没有考虑通信成本，而通信成本在许多情况下是不可忽视的。因此，智能电网的总成本应与通信成本联合优化。在本文中，位置边际电价（LMP）的概率机制，并提出了一个模型的随机演变的基础负荷决定的电力价格。在此电价框架下，将确定何时询价的问题表示为一个马尔可夫决策过程，并定义了相应的要素，即行动空间、系统状态和报酬函数。然后应用动态规划来获得最优策略。一个简单的短视的方法，提出了通过比较的通信成本和罚款所产生的使用旧的电力价格的价值。数值结果表明，显着的性能增益的最优策略的价格查询，以及近最优的近视的方法。
英文摘要：
In smart grid, a home appliance can adjust its power consumption level according to the realtime power price obtained from communication channels. Most studies on smart grid do not consider the cost of communications which cannot be ignored in many situations. Therefore, the total cost in smart grid should be jointly optimized with the communication cost. In this paper, a probabilistic mechanism of locational margin price (LMP) is applied and a model for the stochastic evolution of the underlying load which determines the power price is proposed. Based on this framework of power price, the problem of determining when to inquire the power price is formulated as a Markov decision process and the corresponding elements, namely the action space, system state and reward function, are defined. Dynamic programming is then applied to obtain the optimal strategy. A simpler myopic approach is proposed by comparing the cost of communications and the penalty incurred by using the old value of power price. Numerical results show the significant performance gain of the optimal strategy of price inquiry, as well as the near-optimality of the myopic approach.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
