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考虑多能负荷波动实时平衡的综合能源系统多时间尺度优化调度
引用本文:胡国峰,李勇,曹一家,钟俊杰. 考虑多能负荷波动实时平衡的综合能源系统多时间尺度优化调度[J]. 电力自动化设备, 2024, 44(5): 120-126.
作者姓名:胡国峰  李勇  曹一家  钟俊杰
作者单位:湖南大学 电气与信息工程学院,湖南 长沙 410082;湖南大学 电气与信息工程学院,湖南 长沙 410082; 长沙理工大学 电气与信息工程学院,湖南 长沙 410114
基金项目:国家重点研发计划政府间国际科技创新合作重点项目(2022YFE0129300);国家自然科学基金联合基金重点支持项目(U22B20104)
摘    要:综合能源系统内负荷的不确定性及多能源响应负荷波动的时间尺度不同为优化调度结果的可靠性及系统对负荷波动的响应带来了挑战。确定日前、日内、实时三阶段优化调度模式,在日内调度中对当日影响系统运行的随机事件进行分类并将其量化影响反馈至调度模块;对系统内热/冷负荷端口进行能流分析,通过监测供回水压、水温等数据,快速响应热/冷负荷波动,并在实时调度中调整机组出力;建立日前、日内、实时三阶段优化调度模型,提出基于多能负荷波动快速响应的综合能源系统多时间尺度优化调度方法。以中国南方某城市综合能源系统冬季运行模式为例进行数值分析。结果表明,所提方法对计划性负荷调整及突发小幅负荷波动均有良好效果,能有效提升系统供能收益和用户的用能舒适度。

关 键 词:综合能源系统;多时间尺度;优化调度;多能负荷平衡;负荷波动

Multi-time scale optimal scheduling of integrated energy system considering real-time balancing of multi-energy load fluctuation
HU Guofeng,LI Yong,CAO Yiji,ZHONG Junjie. Multi-time scale optimal scheduling of integrated energy system considering real-time balancing of multi-energy load fluctuation[J]. Electric Power Automation Equipment, 2024, 44(5): 120-126.
Authors:HU Guofeng  LI Yong  CAO Yiji  ZHONG Junjie
Affiliation:College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; College of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410114, China
Abstract:The uncertainty of load in integrated energy system and the different time scales of multi-energy responds to load fluctuation pose challenges for the reliability of optimal scheduling results and system responds to load fluctuation. The three-stage optimal scheduling mode for day-ahead, intra-day and real-time periods is established. Random events influencing system operation on the same day are classified in intra-day scheduling, and their quantified impacts are fed back to the scheduling module. The energy flow analysis is conducted on the heat/cold load ports within the system. By monitoring data such as supply and return water pressure, water temperature, etc.,the heat/cold load fluctuations can be rapidly responded to, and unit outputs are adjusted in real-time scheduling. Furthermore, the three-stage optimal scheduling model for day-ahead, intra-day and real-time periods is developed, and the multi-time scale optimal scheduling method of integrated energy system is proposed based on the rapid response to multi-energy load fluctuation. The numerical analysis is performed by taking the winter operation mode of integrated energy system in a southern Chinese city as a case study. The results indicate that the proposed method exhibits good performance in planned load adjustments and sudden minor load fluctuation, effectively enhancing system energy supply revenue and improving users’ comfort in energy consumption.
Keywords:integrated energy system   multi-time scale   optimal scheduling   multi-energy load balancing   load fluctuation
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