烟草智慧园区多能流优化调度  

Multi energy flow optimization scheduling for tobacco smart park

作　　者：李雪松 罗琪 LI Xuesong;LUO Qi(Wuhan Tobacco Monopoly Bureau(Company),Wuhan 430040)

机构地区：[1]武汉市烟草专卖局(公司),武汉430040

出　　处：《电气技术》2024年第12期28-34,41,共8页Electrical Engineering

摘　　要：针对烟草新能源智慧园区中,光伏出力与负荷需求时序不匹配导致富余能源低价上网,以及园区侧建立储能电站带来的安全风险问题,本文充分调动烟草智慧园区的弹性负荷资源,提出一种电力-水力-热力三层多能流联合调度策略,以最大程度地消纳富余新能源,并在此基础上建立烟草智慧园区电力侧、水力侧、热力侧模型,以园区日购电成本最小为目标,引入一种近似线性化主子问题交互迭代算法,兼顾优化模型对求解速度和求解精度的双重需求,以期为烟草智慧园区的新能源建设及合理利用提供参考。This article focuses on the mismatch between photovoltaic output and load demand timing in the tobacco new energy smart park,as well as the safety risks brought by the establishment of energy storage stations on the park side.The elastic load resources of the tobacco smart park are fully mobilized,and an electrical-hydraulic-thermal three-layer multi energy flow joint scheduling mechanism is proposed to maximize the consumption of the new energy.Models of the power side,hydraulic side,and thermal side in the tobacco smart park are established.To minimize the daily electricity purchase cost of the park,an approximate linearized main sub problem interactive iterative algorithm is introduced,which takes into account the dual requirements of the optimization model for solving speed and accuracy.This article provides a new perspective for the construction and rational utilization of new energy in tobacco smart parks.

关 键 词：绿色低碳 烟草智慧园区 光伏一体化建筑 多能流调度 

分 类 号：TM73[电气工程—电力系统及自动化] F426.61[经济管理—产业经济] F721