Two-Scale Stochastic Control for Smart-Grid Powered Coordinated Multi-Point Systems

Two-Scale Stochastic Control for Smart-Grid Powered Coordinated Multi-Point Systems
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DOI：
10.1109/glocom.2016.7842358
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发表时间：
2016
期刊：
2016 IEEE Global Communications Conference (GLOBECOM)
影响因子：
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通讯作者：
Xiaojing Chen;Tianyi Chen;Xin Wang;Longbo Huang-;G. Giannakis
Xiaojing Chen;Tianyi Chen;Xin Wang;Longbo Huang-;G. Giannakis
中科院分区：
其他
文献类型：
--
作者：
Xiaojing Chen;Tianyi Chen;Xin Wang;Longbo Huang-;G. Giannakis

文献摘要

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针对智能电网供电的多点协调（CoMP）系统，提出了一种新的双尺度随机控制框架。考虑到可再生能源（RES）、动态定价、双向能量交易设施和不完善的能量存储设备，能量管理任务被表示为一个无限时域优化问题，该问题在满足用户服务质量（QoS）要求的前提下，最小化时间平均能量交易成本.利用李雅普诺夫优化方法和随机次梯度方法，提出了一种在两个时间尺度上进行在线控制决策的双尺度在线控制方法。它是分析建立的TS-OC是能够产生一个可行的和渐近接近最优的解决方案。
In this paper, a novel two-scale stochastic control framework is put forth for smart-grid powered coordinated multi-point (CoMP) systems. Taking into account renewable energy sources (RES), dynamic pricing, two-way energy trading facilities and imperfect energy storage devices, the energy management task is formulated as an infinite-horizon optimization problem minimizing the time-averaged energy transaction cost, subject to the users' quality of service (QoS) requirements. Leveraging the Lyapunov optimization approach and the stochastic subgradient method, a two- scale online control (TS-OC) approach is developed to make online control decisions at two timescales. It is analytically established that the TS-OC is capable of yielding a feasible and asymptotically near-optimal solution.