融合需求侧虚拟储能系统的冷热电联供楼宇微网优化调度方法  

Optimal Scheduling Method for a Combined Cooling, Heating and Power Building Microgrid Considering Virtual Storage System at Demand Side

作　　者：靳小龙[1] 穆云飞[1] 贾宏杰[1] 余晓丹[1] 陈乃仕[2] 葛贤军[2] 于建成[3] 

机构地区：[1]智能电网教育部重点实验室(天津大学),天津市南开区300072 [2]中国电力科学研究院,北京市海淀区100192 [3]国网天津市电力公司,天津市河北区300010

出　　处：《中国电机工程学报》2017年第2期581-590,共10页Proceedings of the CSEE

基　　金：国家高技术研究发展计划(863计划)资助项目(2015AA050403);国家自然科学基金项目(51377117;51277128;51677124);国家电网公司科技项目(SGTJDK00DWJS1500097)~~

摘　　要：提出一种融合需求侧虚拟储能系统的冷热电联供楼宇微网优化调度方法。首先基于楼宇蓄热特性,构建了一种虚拟储能系统模型。进而,将虚拟储能系统集成到楼宇微网优化调度模型中,通过在温度舒适度范围内对楼宇室温进行优化调节,实现对楼宇虚拟储能系统的充放电管理。最后以夏季制冷场景为例,对两种典型楼宇微网算例进行经济优化调度分析。结果表明,所提融合需求侧虚拟储能系统的冷热电联供楼宇微网优化调度方法可以在保证温度舒适度的前提下充分发掘楼宇参与微网经济优化运行的虚拟储能潜力,可在一定程度上降低微网运行成本。An optimal scheduling method for a combined cooling, heating and power building microgrid considering virtual storage system at demand side was proposed in this paper. Firstly, a building based virtual storage system model was developed by utilizing the heat storage characteristics of building. Then, the virtual storage system was integrated into the optimal scheduling model of the building microgrid for operation cost reduction. The indoor temperature of the building was adjusted within the customer temperature comfort level range to manage the charging/discharging power of the virtual storage system. Finally, two different types of building microgrid cases under the summer refrigeration scenario were carried out to demonstrate the effectiveness of the proposed optimal scheduling method. Numerical studies demonstrate that the proposed optimal scheduling method can make full use of the potential of the virtual storage system and furthermore contribute to the operation cost reduction of the building microgrid, while guarantee the customer temperature comfort level at the same time.

关 键 词：冷热电联供微网 楼宇蓄热特性 虚拟储能系统 优化调度 

分 类 号：TM92[电气工程—电力电子与电力传动]