| 引用本文: | 吴雄,张子裕,刘炳文,麻淞,曹滨睿,何雯雯,曹菁菁.基于近似动态规划的建筑能量管理系统日内优化调度方法[J].电力自动化设备,2023,43(10):225-232 |
| WU Xiong,ZHANG Ziyu,LIU Bingwen,MA Song,CAO Binrui,HE Wenwen,CAO Jingjing.Intraday optimization scheduling method of building energy management system based on approximate dynamic programming[J].Electric Power Automation Equipment,2023,43(10):225-232 |
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| 摘要: |
| 为了维持建筑内部温度和应对随机量的波动，提出了一种建筑能量管理系统的日内优化调度方法。首先考虑建筑围护结构热平衡关系，得出与室温相关的人体舒适度函数，并以经济性最优为目标建立了建筑能量管理系统日内调度优化模型。然后提出近似动态规划(ADP)与模型预测控制(MPC)相结合的求解方法，采用历史数据作为训练集以应对新能源出力和温度、辐照等大量不确定性因素，将离线训练得到的分段线性函数作为日内调度的未来值函数。最后，算例分析表明所提出的MPC-ADP算法可以通过不断迭代得到近似最优的日内调度方案，并大幅提升人体舒适度。 |
| 关键词: 建筑能量管理系统 建筑热动力学 人体舒适度 近似动态规划 |
| DOI：10.16081/j.epae.202305005 |
| 分类号:TM73 |
| 基金项目:国家重点研发计划项目(2022YFB2403100) |
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| Intraday optimization scheduling method of building energy management system based on approximate dynamic programming |
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WU Xiong, ZHANG Ziyu, LIU Bingwen, MA Song, CAO Binrui, HE Wenwen, CAO Jingjing
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School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710000, China
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| Abstract: |
| In order to maintain the internal temperature of the building and cope with the fluctuation of random amount, an intraday optimization scheduling method for building energy management system is proposed. The thermal balance relationship of the building envelope is comprehensively considered, the human comfort function related to room temperature is obtained, and the scheduling optimization model of building energy management system is established with the goal of economic optimization. Then, a solution method combining approximate dynamic programming(ADP) and model predictive control(MPC) is proposed, using historical data as the training set to cope with a large number of uncertainties such as new energy output, temperature and radiation, and the segmented linear function obtained offline training is used as the future value function of intraday scheduling. The numerical analysis shows that the proposed MPC-ADP algorithm can obtain an approximately optimal real-time scheduling scheme through continuous iteration, and greatly improve human comfort. |
| Key words: building energy management system building thermal dynamics human comfort approximate dynamic programming |
