摘要
随着传统化石能源的枯竭和能源需求的日渐增加,风光等可再生能源已经成为未来能源的主要组成。本文对能源大厦风光发电设备,储能电池,冰蓄冷空调等作为一个综合能源系统,并分别进行了数学建模,以智慧能源大厦经济成本最低为优化目标。通过改进后的遗传算法对优化模型进行求解,并进行调度。结果表明,通过合理的优化调度可以为能源大厦带来不错的经济效益,另外对大厦能量负荷的削减有一定的积极作用。
With the depletion of fossil energy and the increasing demand for energy,renewable energy such as scenery has become the main component of future energy.In this paper,the wind and solar power generation equipment,energy storage battery,ice storage and air conditioning of the energy building are taken as an integrated energy system,and the mathematical modeling is carried out respectively.The optimization goal is to minimize the economic cost of the smart energy building.The results show that reasonable optimal scheduling can bring good economic benefits to the energy building,and play a positive role in reducing the energy load of the building.
作者
陈正建
张清
李世友
纪虎军
CHEN Zheng-jian;ZHANG Qing;LI Shi-you;JI Hu-jun(Shenzhen Energy Smart Energy Technology Co., Ltd., Shenzhen 518000, China)
出处
《节能技术》
CAS
2021年第6期551-555,569,共6页
Energy Conservation Technology
关键词
风光
储能
智慧能源大厦
优化调度
scenery
energy storage
smart energy building
optimal dispatching
