An Optimal and Distributed Demand Response Strategy With Electric Vehicles in the Smart Grid
An Optimal and Distributed Demand Response Strategy With Electric Vehicles in the Smart Grid
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DOI：
10.1109/tsg.2013.2291330
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发表时间：
2014-03-01
影响因子：
9.6
通讯作者：
Nehorai, Arye
中科院分区：
文献类型：
--
作者：
Tan, Zhao;Yang, Peng;Nehorai, Arye
在本文中，我们提出了一个新的模型，需求响应管理的未来智能电网，集成了插入式电动汽车和可再生分布式发电机。制定了考虑波动成本的价格方案。我们考虑一个市场，用户可以灵活地将其分布式发电机产生的能量或存储在插电式电动汽车中的能量出售。提出了一种基于乘子交替方向法的分布式优化算法，解决了用户只需向电力公司报告其聚合负荷，从而保证用户隐私的优化问题。消费者可以同时更新他们的负载调度和本地，以加快优化计算。通过数值算例，我们表明，优化后的需求曲线是平坦的，即使有不确定性的模型，从而减少了公用事业公司支付的成本。分布式算法也被证明可以减少用户的日常账单。
In this paper, we propose a new model of demand response management for the future smart grid that integrates plug-in electric vehicles and renewable distributed generators. A price scheme considering fluctuation cost is developed. We consider a market where users have the flexibility to sell back the energy generated from their distributed generators or the energy stored in their plug-in electric vehicles. A distributed optimization algorithm based on the alternating direction method of multipliers is developed to solve the optimization problem, in which consumers need to report their aggregated loads only to the utility company, thus ensuring their privacy. Consumers can update their loads scheduling simultaneously and locally to speed up the optimization computing. Using numerical examples, we show that the demand curve is flattened after the optimization, even though there are uncertainties in the model, thus reducing the cost paid by the utility company. The distributed algorithms are also shown to reduce the users' daily bills.