| 引用本文: | 胡寰宇,艾欣,胡俊杰,王坤宇.考虑电动汽车移动储能特性的智能楼宇群能量管理方法[J].电力自动化设备,2022,42(10): |
| HU Huanyu,AI Xin,HU Junjie,WANG Kunyu.Energy management method of smart building cluster considering mobile energy storage characteristics of electric vehicles[J].Electric Power Automation Equipment,2022,42(10): |
|
| 摘要: |
| 考虑电动汽车在不同建筑之间的移动性及其与多建筑之间具有的功率交互能力，提出一种基于电动汽车移动储能共享特性的两阶段智能楼宇群能量管理方法。以区域内互联的智能楼宇群为研究场景，考虑分布式可再生能源与楼宇基荷的不确定性，利用随机规划方法建立了含电动汽车移动储能特性的楼宇群运行成本最低的上层优化模型。基于上层优化确定的电动汽车在不同楼宇的能量分配，下层从楼宇群供需平衡的角度，利用分布式算法建立了含灵活资源调度成本、传输损耗的楼宇总运行成本最低的自治模型。算例结果表明，所提的模型及策略可以促进能源互补，提升楼宇群运行经济性及可再生能源利用效率，为高比例分布式可再生能源的并网消纳与平衡问题提供新的解决思路。 |
| 关键词: 电动汽车 能量管理 电能共享 移动储能 需求侧灵活性 智能楼宇 |
| DOI：10.16081/j.epae.202208030 |
| 分类号:TM73;U469.72 |
| 基金项目:国家自然科学基金资助项目(52177080)；北京市科技新星计划项目(Z201100006820106) |
|
| Energy management method of smart building cluster considering mobile energy storage characteristics of electric vehicles |
|
HU Huanyu, AI Xin, HU Junjie, WANG Kunyu
|
|
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206
|
| Abstract: |
| Considering the mobility of electric vehicles among different buildings and their power interaction ability with multiple buildings, a two-stage intelligent building cluster energy management method based on the mobile energy storage sharing characteristics of electric vehicles is proposed. Taking the interconnected smart building cluster as the research scenario and considering the uncertainty of distributed renewable energy and building load, the upper-layer optimization model with the lowest operating cost of the building cluster including the mobile energy storage characteristics of electric vehicles is established by the stochastic programming method. Based on the energy distribution of electric vehicles in different buildings determined by the upper-layer optimization, the autonomous model with the lowest total operating cost of the building including flexible resource scheduling cost and transmission loss is established by the distributed algorithm in the lower-layer, from the perspective of the balance between supply and demand of the building cluster. The results of case study show that the proposed model and strategy can promote energy complementarity, improve the operation economy of building cluster and the utilization efficiency of renewable energy. It provides a way to solve the grid-connected consumption and balance of high proportion of distributed renewable energy. |
| Key words: electric vehicles energy management energy sharing mobile energy storage demand side flexibility smart building |
