Decomposition of Stochastic Power Management for Wireless Base Station in Smart Grid
Decomposition of Stochastic Power Management for Wireless Base Station in Smart Grid
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DOI：
10.1109/wcl.2012.020612.110197
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发表时间：
2012-02
影响因子：
6.3
通讯作者：
R. Kaewpuang;D. Niyato;Ping Wang
中科院分区：
文献类型：
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作者：
R. Kaewpuang;D. Niyato;Ping Wang
我们提出了一种用于无线基站的随机功率管理（SPM）算法，以优化功率消耗（即，最小化功率成本同时满足无线业务需求）。该SPM算法是为智能电网环境开发的，该环境考虑了可再生电源和时变电价。建立了SPM算法的优化模型，得到了SPM算法的最优解。该优化模型考虑了各种不确定性，包括电价，可再生能源和无线流量负载。Benders分解方法被用来减少SPM算法获得最优解的执行时间。
We propose a stochastic power management (SPM) algorithm for a wireless base station to optimize the power consumption (i.e., minimizing the power cost while meeting wireless traffic demand). This SPM algorithm is developed for a smart grid environment which takes a renewable power source and time-varying power price into account. An optimization model is developed to obtain an optimal solution of the SPM algorithm. This optimization model considers various uncertainties including power price, renewable power, and wireless traffic load. Benders decomposition method is applied to reduce the execution time of obtaining the optimal solution for the SPM algorithm.