Multi-stage Stochastic Optimal Operation of Energy-efficient Building with Combined Heat and Power System

被引:25
作者
Liu, Ping [1 ]
Fu, Yong [1 ]
Marvasti, Amin Kargarian [1 ]
机构
[1] Mississippi State Univ, Dept Elect & Comp Engn, Starkville, MS 39762 USA
关键词
combined heat and power system; energy-efficient buildings; multi-stage stochastic programming; smart grid; OPTIMIZATION; DISPATCH; BATTERY;
D O I
10.1080/15325008.2013.862324
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Due to the integration of volatile renewable energy and random energy consumption in the building grid, uncertainties have become a big concern for the operation of energy-efficient buildings. To minimize energy usage expenses under uncertainty, it is necessary to determine the optimal power production for a building from various energy sources, including the electric grid, battery, and combined heat and power with a boiler unit. This article presents a multi-stage mixed-integer stochastic programming model for optimal operation of energy-efficient building systems considering controllable electric and thermal loads. Taking into account the randomness of non-controllable electric and thermal loads, as well as solar power generations through the multi-stage scenario tree, the operation of energy-efficient buildings will be more robust against changes in uncertain variables. With information of uncertainties updated hourly, the rolling scheduling method is introduced to determine an adaptive power output of electric grid, charging/discharging status of the battery, and operation of combined heat and power with a boiler unit. The simulation results offer a set of adaptive decision solutions within the scheduling horizon.
引用
收藏
页码:327 / 338
页数:12
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