刘雪飞, 庞凝, 王云佳, 姚伯岩, 魏子强, 温鹏, 高立艾. 农村综合能源系统多层协同优化运行方法[J]. 电力建设, 2022, 43(5): 63-71.
引用本文: 刘雪飞, 庞凝, 王云佳, 姚伯岩, 魏子强, 温鹏, 高立艾. 农村综合能源系统多层协同优化运行方法[J]. 电力建设, 2022, 43(5): 63-71.
LIU Xue-fei, PANG Ning, WANG Yun-jia, YAO Bo-yan, WEI Zi-qiang, WEN Peng, GAO Li-ai. Multi-layer Cooperative Optimization Operation Method for Rural Integrated Energy System[J]. Electric Power Construction, 2022, 43(5): 63-71.
Citation: LIU Xue-fei, PANG Ning, WANG Yun-jia, YAO Bo-yan, WEI Zi-qiang, WEN Peng, GAO Li-ai. Multi-layer Cooperative Optimization Operation Method for Rural Integrated Energy System[J]. Electric Power Construction, 2022, 43(5): 63-71.

农村综合能源系统多层协同优化运行方法

Multi-layer Cooperative Optimization Operation Method for Rural Integrated Energy System

  • 摘要: 农村综合能源系统通过多种能源的协同互补,在满足农村用户多元化用能需求的同时,能有效提升能源利用效率和用能经济性。首先,在考虑适应农村典型场景的基础上,提出了一种三层协同自律的农村综合能源分层协同运行优化框架。然后,基于农村综合能源系统典型设备,建立了三层农村综合能源系统源-储-荷联合优化调度模型以及相应的优化调度流程。调度模型中冬季通过对沼气发电机组的余热回收与空气源热泵协同对用户供热;夏季对沼气发电机组余热进行回收,并通过溴化锂制冷机与空气源热泵联合对农村用户供冷。最后,对农村综合能源系统多层协同优化方法进行了算例分析,结果表明该优化方法提高了农村居民用能的经济性,验证了所提方法的有效性。

     

    Abstract: Rural integrated energy system can effectively improve energy efficiency and economy while meeting the diversified energy demand of rural users through the coordination and complementarity of various energy sources. Firstly, considering adapting to typical rural scenarios, a three-layer cooperative self-regulation framework for hierarchical cooperative operation optimization of rural integrated energy is proposed. Then, according to the typical equipment of the rural integrated energy system, a combined optimization dispatching model of the three-layer rural integrated energy system, including source, storage and load, and the corresponding optimization dispatching process, are established. In the dispatching model, residual heat of biogas generator unit and air-source heat pump cooperate to provide heating for users in winter. In summer, the residual heat of biogas generator set is recovered, and the rural users are cooled by the combination of lithium bromide refrigerator and air-source heat pump. Finally, an example is given to analyze the multi-layer collaborative optimization method for rural integrated energy system. The results show that the optimization method can improve the economy of rural residents’ energy consumption, and the effectiveness of the proposed method is verified.

     

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