约束经济直接负荷控制调度的松弛动态规划

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI:10.1109/ISAP.2007.4441691

Tsair-Fwu Lee, H. Wu, Ying-Chang Hsiao, P. Chao, F. Fang, M. Cho

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引用次数: 8

摘要

研究了控制一组大空调负荷的一组周期阶段控制任务的动态调度问题。为了能够解决实际在线情况下的调度问题，我们利用松弛动态规划(RDP)算法的技术，生成具有松弛界的acl的最优或接近最优日控制调度。通过控制校园内acl的现场测试，验证了所提出的负荷控制策略的有效性。

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Relaxed Dynamic Programming for Constrained Economic Direct Loads Control Scheduling

We study the problem of dynamically scheduling a set of period stage control tasks controlling a set of large air conditioner loads (ACLs). To be able to solve the scheduling problem for realistic on-line cases, we utilize the technique of relaxed dynamic programming (RDP) algorithm to generate an optimal or near optimal daily control scheduling for ACLs with relaxing bounds. Field tests of controlling the ACLs located in the campus are tested on-site to demonstrate the effectiveness of the proposed load control strategy.

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2007 International Conference on Intelligent Systems Applications to Power Systems

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