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中文摘要：
考虑智能电网多种类型业务需求的接入控制，通过利用响应时间的弹性来平缓业务负荷的波动，使得电网运行的长期平均代价最小．针对业务需求和用户行为的随机分布特性，建立连续时间Markov控制过程的系统分析模型：结合性能势基于样本轨道的估计，提出一种基于仿真的策略迭代优化算法，有效缓解了系统大状态空间导致的维数灾问题，具有较快的收敛速度和良好的应用效果．仿真实验结果验证了所提出方法的有效性．
英文摘要：
An access control strategy of multi-type service demands is proposed to minimize the long-run average cost of the operation in smart grids, which exploits the flexibility of response time to relieve the fluctuation of demand loads. By capturing the characters of stochastic distribution of service demands and users＇ behaviors, an analytical model based on continue-time Markov control processes is introduced. Combined with performance potentials estimate on sample path, a simulation based policy iteration algorithm is presented, which can alleviate the curse of dimensions induced by the large system state space and find a near-optimal policy with the rapid convergence rate. Simulation results show the effectiveness of the proposed method.
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同项目期刊论文
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Optimality of Multichannel Myopic Sensing in the Presence of Sensing Error for Opportunistic Spectru
Energy-efficient adaptive transmission of scalable video streaming in cognitive radio communications
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