论文标题

基于MILP的最佳日程安排,用于以系统为中心的CEM,支持不同类型的房屋和能源交易

MILP-based optimal day-ahead scheduling for system-centric CEMS supporting different types of homes and energy trading

论文作者

Dinh, Huy Truong, Kim, Dongwan, Kim, Daehee

论文摘要

提出了以系统为中心的社区能源管理系统(CEMS)的最佳日期安排,以在社区层面提供经济利益和能源管理的舒适用户。我们拟议的社区包括不同类型的房屋,并允许使用中型市场价格定价在本地交易能源。构建了社区的数学模型,并将该模型的优化问题转化为MILP问题,该问题可以在短时间内解决。通过解决这个MILP问题,可以实现社区的整体能源成本的优化以及每个房屋的热舒适度的满意度。为了进行比较,我们还为同一社区建立了两种不同的方案:以伪造者为中心的CEM和没有CEM。模拟结果表明,以系统为中心的CEMS社区的总体能源成本在三种情况下是最小的,而以中性为中心的CEM是社区的一半。此外,通过使用线性转换,针对500家社区的以系统为中心的CEM的优化问题的计算时间仅为118.2 s,这是社区日期安排的短时间。

Optimal day-ahead scheduling for a system-centric community energy management system (CEMS) is proposed to provide economic benefits and user comfort of energy management at the community level. Our proposed community includes different types of homes and allows prosumers to trade energy locally using mid-market rate pricing. A mathematical model of the community is constructed and the optimization problem of this model is transformed into an MILP problem that can be solved in a short time. By solving this MILP problem, the optimization of the overall energy cost of the community and satisfaction of the thermal comfort at every home are achieved. For comparison, we also establish two different scenarios for the same community: a prosumer-centric CEMS and no CEMS. The simulation results demonstrate that the overall energy cost of the community with the system-centric CEMS is the smallest among the three scenarios and is only half that of the community with the prosumer-centric CEMS. Moreover, by using linear transformation, the computational time of the optimization problem of the proposed system-centric CEMS is only 118.2 s for a 500-home community, which is a short time for day-ahead scheduling of a community.

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