智能电网环境下空调系统多目标优化控制算法

发布时间：2018-05-14 22:03

本文选题：智能电网 + 需求响应　；参考：《电网技术》2014年07期

【摘要】：提出了一种居民用户空调系统运行控制算法。该算法根据室外温度的预测值和电力公司发布的电价信号对空调系统的运行进行控制。为此,在用电费用指标的基础上,引入了定量反映用户舒适度的指标,建立了同时优化用电费用指标和用户舒适度指标的多目标优化模型。建模过程中采用蒙特卡洛仿真法和情景消减技术来处理室外温度预测误差带来的不确定性。采用改进的粒子群算法对模型进行求解。对提出的算法进行了仿真实验,并与传统的恒温控制模式和以最小化用电费用为目的的单目标优化控制算法进行了对比。实验结果表明,多目标优化算法能更好地兼顾用户的经济需求和舒适度需求,从而验证了该算法的有效性。
[Abstract]:An operation control algorithm for residential air conditioning system is proposed. The algorithm controls the operation of air conditioning system according to the forecast value of outdoor temperature and the electricity price signal issued by power company. Therefore, on the basis of the power consumption cost index, a quantitative index reflecting the user comfort is introduced, and a multi-objective optimization model is established to optimize both the power consumption cost index and the user comfort index. In the process of modeling, Monte Carlo simulation method and scenario reduction technique are used to deal with the uncertainty caused by outdoor temperature prediction error. The improved particle swarm optimization algorithm is used to solve the model. The proposed algorithm is simulated and compared with the traditional constant temperature control mode and the single objective optimization control algorithm aiming at minimizing the power cost. Experimental results show that the multi-objective optimization algorithm can better meet the economic needs and comfort requirements of users, thus validating the effectiveness of the algorithm.
【作者单位】：网络化控制系统重点实验室(中国科学院沈阳自动化研究所);
【基金】：国家863高技术基金项目(2011AA040103) 国家自然科学基金项目(61233007)~~
【分类号】：TM76

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