摘要
为促进楼宇节能,实现不同楼宇内分布式能源的协调控制管理,首先搭建包含风电、光伏、储能设备、电动汽车以及柔性负荷的楼宇虚拟电厂框架,并阐述虚拟电厂内能量与信息的流向;然后,构建楼宇虚拟电厂的协调优化调度模型,以净成本最低为目标函数,并考虑不同楼宇间电能的优化共享;最后,以一个包含居民楼、商业楼、办公楼的楼宇虚拟电厂为例,针对不构建虚拟电厂、楼宇虚拟电厂调度楼宇内各单元、楼宇虚拟电厂调度楼宇内各单元及楼宇间电能共享3种场景进行分析,对比3种场景下的调度结果以验证上述模型的有效性。结果表明:该模型可以实现楼宇内以及不同楼宇间电能的协调优化,有效地改善了虚拟电厂的经济性和负荷情况。
In order to promote building energy conservation and realize the coordinated control and management of distributed energy in different buildings,this paper firstly builds a building virtual power plant framework including wind power,photovoltaics,energy storage equipment,electric vehicles and flexible loads,and expounds the flow of energy and information in the virtual power plant.Then,taking the lowest net cost as the objective function,a coordinated and optimized scheduling model of building virtual power plant is constructed,which also considers the optimal sharing of electric energy between different buildings.Finally,taking a building virtual power plant including a residential building,a commercial building and an office building as an example,three scenarios,i.e.,not constructing a virtual power plant,building virtual power plant scheduling each unit in the building and building virtual power plant scheduling units in a building and power sharing between buildings,are analyzed.The scheduling results in the three scenarios are compared to verify the effectiveness of the above models.The results show that the model can realize the coordinated optimization of electric energy within the building and among different buildings,and effectively improve the economy and load of the virtual power plant.
作者
杨秀
胡晓龙
孙改平
方陈
田英杰
杜楠楠
YANG Xiu;HU Xiaolong;SUN Gaiping;FANG Chen;TIAN Yingjie;DU Nannan(College of Electric Engineering, Shanghai University of Electric Power, Shanghai 200090, China;State Grid Shanghai Electric Power Research Institute, Shanghai 200437,China)
出处
《电力科学与技术学报》
CAS
北大核心
2022年第1期96-105,共10页
Journal of Electric Power Science And Technology
基金
国家自然科学基金(51807114)
上海市科委项目(18DZ1203200)。
关键词
虚拟电厂
分布式能源
楼宇
日前调度
电能共享
virtual power plant
distributed energy
building
day-ahead scheduling
power sharing
