Operation management of residential energy-supplying networks based on optimization approaches
Operation management of residential energy-supplying networks based on optimization approaches
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DOI：
10.1016/j.apenergy.2016.08.171
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发表时间：
2016-12
期刊：
影响因子：
11.2
通讯作者：
T. Wakui;Hiroki Kawayoshi;R. Yokoyama;H. Aki
中科院分区：
文献类型：
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作者：
T. Wakui;Hiroki Kawayoshi;R. Yokoyama;H. Aki
采用优化方法，将能源需求预测、运行规划和运行控制有机地结合起来，开发了一个多机组住宅供能网络运行管理系统。多个住宅的能源需求预测的支持向量回归与居住者的行为，以及预测的天气和能源需求的历史信息。采用混合整数线性规划的热电联产机组的运行规划预测的能源需求。能源需求预测和运营计划的更新使用可变频率滚动时域方法。这样做是为了限制热电联产机组的不必要的停机和启动，并减少预测误差对能源需求的影响。在运行控制方面，热电联产机组的实际启停计划与运行计划结果一致。此外，热电联产单元的功率和热量输出以及来自储罐的热量供应根据预定义的规则响应于实际的能量需求进行调制。开发的运行管理系统被应用到一个住宅能源供应网络的年度运行模拟，该网络由四个使用燃料电池的热电联产单元组成。为了进行比较分析，还考虑了基于历史的能源需求预测方法和每个热电联产机组的单独运行方法。结果表明，所开发的运行管理系统的有效性以及住宅供电网络的高节能性能。
An operation management system for residential energy-supplying networks using multiple cogeneration units was developed by hierarchically integrating energy demand prediction, operational planning, and operational control, using optimization approaches. The energy demand for multiple dwellings was predicted by support vector regression with information on occupant behavior as well as forecasted weather and energy demand history. Mixed-integer linear programming was employed for the operational planning of the cogeneration units to the predicted energy demand. The energy demand prediction and operational planning were updated using a variable frequency receding horizon approach. This was done to limit the unnecessary shutdown and start-up of the cogeneration units and to reduce the influences of prediction errors for energy demand. Regarding the operational control, the actual on–off schedule of the cogeneration units conformed to the operational planning result. Additionally, the power and heat outputs of the cogeneration units and the heat supply from the storage tanks were modulated in response to the actual energy demand, based on predefined rules. The developed operation management system was applied to annual operation simulation of a residential energy-supplying network consisting of four cogeneration units using fuel cells in a housing complex. For comparative analysis, history-based approaches for energy demand prediction and separate operation of each cogeneration unit were also considered. The results revealed the effectiveness of the developed operation management system as well as the high energy-saving performance of the residential energy-supplying network.