基于建筑虚拟储能的分布式能源系统优化调度
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TM734

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国家自然科学基金(51978482)


Optimization Scheduling of Distributed Energy System Based on Building Virtual Energy
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National Natural Science Foundation

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    摘要:

    由于建筑的热惰性及室内空气的蓄热属性,当系统制冷或制热设备功率变化后,室内温度存在滞后现象,同时室内温度在一定范围变化时不会影响人体的舒适度。该文根据建筑的蓄热属性建立了建筑虚拟储能模型,引入到分布式能源系统的优化调度当中,在用户可接受室温范围内对室温进行优化调节,实现了虚拟储能的充释能管理。算例以独栋的小型楼宇的夏季制冷场景为例,以包含环境因素的日综合运行成本最小为优化目标,根据求解结果分析了虚拟储能对调度产生的影响,结果表明建筑虚拟储能参与系统的优化调度使总费用下降约3.8%。

    Abstract:

    Due to the thermal inertia of the building and the heat storage properties of indoor air,when the system cooling or heating equipment power is changed, the indoor temperature is delayed, and the comfort of the human body will not be affected when the indoor temperature changes within a certain range. The virtual energy storage model of the building is built according to the heat storage properties of the building. The room temperature is optimally adjusted within the acceptable room temperature range of the user, realizing the charging and discharging management of virtual energy storage . The summer cooling scenario of a single small building is taken as an example, and the overall operating cost including environmental factors is minimized as the optimization goal. According to the solution results, the impact of virtual energy storage on scheduling is analyzed. The total cost of optimized scheduling is reduced by about 3.8% due to the participation of virtual energy storage.

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叶家盛,刘青荣,阮应君,等. 基于建筑虚拟储能的分布式能源系统优化调度[J]. 科学技术与工程, 2022, 22(13): 5257-5262.
Ye Jiasheng, Liu Qingrong, Ruan Yingjun, et al. Optimization Scheduling of Distributed Energy System Based on Building Virtual Energy[J]. Science Technology and Engineering,2022,22(13):5257-5262.

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历史
  • 收稿日期:2021-08-21
  • 最后修改日期:2021-11-04
  • 录用日期:2021-11-22
  • 在线发布日期: 2022-05-20
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