网络首发:2026-03-05,
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杨立志, 田建艳, 姬政雄, 等. 基于数字孪生的多源协同互补供暖系统控制优化[J]. 太阳能学报, 2026,47(2):195-204.
杨立志, 田建艳, 姬政雄, et al. 基于数字孪生的多源协同互补供暖系统控制优化[J]. 2026, 47(2): 195-204.
杨立志, 田建艳, 姬政雄, 等. 基于数字孪生的多源协同互补供暖系统控制优化[J]. 太阳能学报, 2026,47(2):195-204. DOI: doi:10.19912/j.0254-0096.tynxb.2024-1828.
杨立志, 田建艳, 姬政雄, et al. 基于数字孪生的多源协同互补供暖系统控制优化[J]. 2026, 47(2): 195-204. DOI: doi:10.19912/j.0254-0096.tynxb.2024-1828.
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。
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.
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