为解决太阳能集热器和热泵联合供暖的供暖模式选择和运行优化问题,提出数字孪生和模型预测控制相结合的多源协同互补供暖系统控制优化方法。首先构建可表征供暖系统供暖模式切换的多源协同互补供暖系统状态空间模型;然后在每个控制周期生成若干可行的供暖模式切换策略并构建对应的虚拟实体,用以模拟供暖模式切换的多种情景,通过比较各虚拟实体虚拟运行优化结果,选出最优的供暖模式切换策略和设备运行功率,控制多源协同互补供暖系统运行;最后对供暖系统运行进行大量的仿真分析,验证所提方法具有更优的供暖经济性和稳定性。
Abstract
In order to solve the problems of heating mode selection and operation optimization for heating systems combined with solar thermal collectors and heat pumps, a control optimization method combining digital twin and model predictive control was proposed for the multi-source synergistic and complementary heating system. Firstly, the MSSCHS state space model was constructed, which can describe the switching of heating modes. Then multiple heating mode switching strategies and corresponding virtual entities were constructed to simulate the multiple scenarios of heating mode switching in each control period. By comparing the results obtained from the virtual operation optimization of each virtual entity, the optimal heating mode switching strategy and equipment operating powers were selected to control the multi-source synergistic and complementary heating system. Finally, a large number of simulation analyses were conducted on the operation of the heating system, verifying that the proposed method has better heating economy and stability.
关键词
数字孪生 /
模型预测控制 /
太阳能集热器 /
热泵 /
模式切换 /
控制优化
Key words
digital twin /
model predictive control /
solar thermal collectors /
heat pump /
mode switching /
control optimization
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] ZHANG Q L, ZHANG L, NIE J Z, et al.Techno-economic analysis of air source heat pump applied for space heating in northern China[J]. Applied energy, 2017, 207: 533-542.
[2] GUO Y, TANG Q C, DARKWA J, et al.Multi-objective integrated optimization of geothermal heating system with energy storage using digital twin technology[J]. Applied thermal engineering, 2024, 252: 123685.
[3] WANG X R, XIA L, BALES C, et al.A systematic review of recent air source heat pump (ASHP) systems assisted by solar thermal, photovoltaic and photovoltaic/thermal sources[J]. Renewable energy, 2020, 146: 2472-2487.
[4] 金光, 陈正浩, 郭少朋, 等. 严寒地区太阳能-空气源热泵系统供暖实验研究[J]. 太阳能学报, 2021, 42(8): 251-257.
JIN G, CHEN Z H, GUO S P, et al.Heating experimental study of solar-air source heat pump system in severe cold areas[J]. Acta energiae solaris sinica, 2021, 42(8): 251-257.
[5] LONG J B, XIA K M, ZHONG H H, et al.Study on energy-saving operation of a combined heating system of solar hot water and air source heat pump[J]. Energy conversion and management, 2021, 229: 113624.
[6] LANGER L, VOLLING T.A reinforcement learning approach to home energy management for modulating heat pumps and photovoltaic systems[J]. Applied energy, 2022, 327: 120020.
[7] 杨国锋, 贾智旗, 陈廷敏, 等. 太阳能-热泵双水箱集成供暖系统实验研究[J]. 建筑科学, 2022, 38(12): 144-151.
YANG G F, JIA Z Q, CHEN T M, et al.Experimental research on the integrated heating system of solar energy-heat pump double tanks[J]. Building science, 2022, 38(12): 144-151.
[8] 谭心, 朱振经, 孙国鑫, 等. 基于模糊层次分析法的太阳能-空气源热泵复合供暖系统多目标优化[J]. 太阳能学报, 2022, 43(10): 94-103.
TAN X, ZHU Z J, SUN G X, et al.Multi-objective optimization of air-soloar source heat pump combined heating system based on fuzzy analytic hierarch process[J]. Acta energiae solaris sinica, 2022, 43(10): 94-103.
[9] WEERATUNGE H, NARSILIO G, DE HOOG J, et al.Model predictive control for a solar assisted ground source heat pump system[J]. Energy, 2018, 152: 974-984.
[10] MBUWIR B V, GEYSEN D, KOSMADAKIS G, et al.Optimal control of a heat pump-based energy system for space heating and hot water provision in buildings: results from a field test[J]. Energy and buildings, 2024, 310: 114116.
[11] 陶飞, 刘蔚然, 刘检华, 等. 数字孪生及其应用探索[J]. 计算机集成制造系统, 2018, 24(1): 1-18.
TAO F, LIU W R, LIU J H, et al.Digital twinning and its application exploration[J]. Computer integrated manufacturing systems, 2018, 24(1): 1-18.
[12] LIU S W, TIAN J Y, JI Z X, et al.Research on multi-digital twin and its application in wind power forecasting[J]. Energy, 2024, 292: 130269.
[13] 贺兴, 陈旻昱, 唐跃中, 等. 基于数字孪生与元宇宙技术的能源互联网态势感知系统论方法研究(一): 概念、挑战与研究框架[J]. 中国电机工程学报, 2024, 44(2): 547-560, S9.
HE X, CHEN M Y, TANG Y Z, et al.System theory study on situation awareness of energy internet of things based on digital twins and metaverse(Ⅰ): concept, challenge, and framework[J]. Proceedings of the CSEE, 2024, 44(2): 547-560, S9.
[14] DAI Y Y, TIAN J Y, JI Z X, et al.Research and application of park multi-source synergistic and complementary heating system and its coordinated control method[J]. Energy and buildings, 2023, 289: 113032.
[15] 刘寒, 马小晶, 王宏伟, 等. 太阳能热泵联合风电蓄热供暖系统优化研究[J]. 太阳能学报, 2022, 43(10): 104-112.
LIU H, MA X J, WANG H W, et al.Optimization on solar heat pump combined with wind power thermal storage heating system[J]. Acta energiae solaris sinica, 2022, 43(10): 104-112.
基金
山西省自然科学基金（202303021221026）
PDF(1274 KB)
