重庆大学学报2024，Vol.47Issue(9)：112-128,17.DOI:10.11835/j.issn.1000-582X.2023.202
考虑连续双向拍卖机制的楼宇群日前优化调度
Day-ahead optimal scheduling of buildings considering continuous double auction trading mechanism
摘要
Abstract
As the main consumers of urban energy,the low carbon and efficient operation of intelligent buildings is crucial for achieving the goals of "peak carbon dioxide emissions and carbon neutrality". To enhance building economics while improving energy sharing and the consumption of distributed energy resources,a distributed optimal scheduling model for buildings taking into account building characteristics and energy trading was proposed. At the building optimization level,a multi-objective building operation optimization model considering economic and temperature comfort requirements was established. At the energy sharing level,a peer-to-peer buildings trading market was set up,and a new continuous double auction trading mechanism combining building optimization results and market risks was proposed. This mechanism feeds back the results of market transactions to the optimization level of each building,achieving iterative optimization and energy sharing within buildings. Robust optimization was used to test the effectiveness of the model in various uncertainty scenarios. Simulation results show that the distributed optimal scheduling model can optimize building economics while enhancing energy complementarity and the consumption of distributed energy resources in various scenarios.关键词
能源共享/连续双向拍卖交易/迭代优化/鲁棒优化Key words
energy sharing/continuous double auction trading/iterative optimization/robust optimization分类
动力与电气工程引用本文复制引用
刘辉,熊振宇,黄立冬..考虑连续双向拍卖机制的楼宇群日前优化调度[J].重庆大学学报,2024,47(9):112-128,17.基金项目
综合能源高效协同运行关键技术及应用示范资助项目(2019YFE0118000).Supported by the Key Technology and Practice for Highly Efficient Collaboration of Integrated Energies(2019YFE0118000). （2019YFE0118000）
