Residential Energy Consumption Scheduling: A Coupled-Constraint Game Approach
Residential Energy Consumption Scheduling: A Coupled-Constraint Game Approach
复制标题
DOI：
10.1109/tsg.2013.2287494
复制
发表时间：
2014-03
影响因子：
9.6
通讯作者：
Ruilong Deng;Zaiyue Yang;Jiming Chen;Navid Rahbari Asr;M. Chow
中科院分区：
文献类型：
--
作者：
Ruilong Deng;Zaiyue Yang;Jiming Chen;Navid Rahbari Asr;M. Chow
研究了住宅能耗调度问题，将其转化为一个耦合约束博弈，考虑了用户间的交互作用和时间耦合约束。拟议的解决方案包括两部分。首先利用对偶分解将原耦合约束博弈转化为解耦博弈。然后，纳什均衡的解耦博弈被证明是可实现的最佳对策，这是由梯度投影计算。所提出的解决方案还扩展到在线版本，这是能够减轻价格预测误差的影响。数值结果表明，该方法可以有效地将高峰时段的需求转移到非高峰时段，提高每个用户的福利，并使峰均比最小化。该方法的可扩展性和用户数的影响也进行了研究。
This paper investigates the residential energy consumption scheduling problem, which is formulated as a coupled-constraint game by taking the interaction among users and the temporally-coupled constraint into consideration. The proposed solution consists of two parts. Firstly, dual decomposition is applied to transform the original coupled-constraint game into a decoupled one. Then, Nash equilibrium of the decoupled game is proven to be achievable via best response, which is computed by gradient projection. The proposed solution is also extended to an online version, which is able to alleviate the impact of the price prediction error. Numerical results demonstrate that the proposed approach can effectively shift the peak-hour demand to off-peak hours, enhance the welfare of each user, and minimize the peak-to-average ratio. The scalability of the approach and the impact of the user number are also investigated.