GTES: An Optimized Game-Theoretic Demand-Side Management Scheme for Smart Grid
GTES: An Optimized Game-Theoretic Demand-Side Management Scheme for Smart Grid
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GTES：智能电网优化博弈论需求侧管理方案
DOI：
10.1109/jsyst.2013.2260934
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发表时间：
2013
影响因子：
4.4
通讯作者：
and I. Stojmenovic
中科院分区：
文献类型：
--
作者：
Z. M. Fadlullah;D. M. Quan;N. Kato;and I. Stojmenovic
智能电网中的需求侧管理已成为优化能源消耗的热门话题。在传统的研究工作中，从用户或电力公司的角度优化能耗。在本文中，我们研究如何通过考虑双方之间的相互作用来优化能源消耗。我们提出了一个新的能源价格模型作为能源消费总量的函数。此外，我们提出了一个新的目标函数，优化之间的差异能源的价值和成本。电力供应商以循环的方式拉取消费者，并为他们提供能源价格参数和当前消耗汇总向量。然后，每个用户优化自己的时间表，并将其报告给供应商，供应商反过来在拉动下一个消费者之前更新其能源价格参数。电力公司和它的消费者之间的这种相互作用是通过一个两步的集中式博弈，在此基础上，我们提出了我们的博弈论能量调度（GTES）方法。我们的GTES方法的目标是通过优化用户的能量调度来降低峰均功率比。GTES方法的性能通过基于计算机的模拟进行评估。
Demand-side management in smart grids has emerged as a hot topic for optimizing energy consumption. In conventional research works, energy consumption is optimized from the perspective of either the users or the power company. In this paper, we investigate how energy consumption may be optimized by taking into consideration the interaction between both parties. We propose a new energy price model as a function of total energy consumption. Also, we propose a new objective function, which optimizes the difference between the value and cost of energy. The power supplier pulls consumers in a round-robin fashion and provides them with energy price parameter and current consumption summary vector. Each user then optimizes his own schedule and reports it to the supplier, which, in turn, updates its energy price parameter before pulling the next consumers. This interaction between the power company and its consumers is modeled through a two-step centralized game, based on which we propose our game-theoretic energy schedule (GTES) method. The objective of our GTES method is to reduce the peak-to-average power ratio by optimizing the users' energy schedules. The performance of the GTES approach is evaluated through computer-based simulations.