Optimal Stochastic Scheduling of an Energy Hub Considering Thermal Demand Response and Power to Gas Technology

被引：0

作者：

Alizad, Ehsan ^{[1
]}

Rastegar, Hasan ^{[1
]}

Hasanzad, Fardin ^{[1
]}

机构：

[1] Amirkabir Univ Technol, Dept Elect Engn, Tehran, Iran

来源：

2020 28TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) | 2020年

关键词：

renewable-based energy hub; power to gas technology; thermal demand response; uncertainty; stochastic programming; OPERATION; WIND; OPTIMIZATION;

D O I：

暂无

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：

Advent of energy hub concept in area of energy conversion and storage has made it possible for energy system operators to attain a system with higher efficiency and optimal performance. This paper, studies optimal stochastic scheduling of an energy hub system in presence of CHP unit, auxiliary boiler, wind power, thermal and electricity storage systems. The impact of thermal demand response program implementation and power to gas (P2G) technology application on the proposed energy hub system, is analyzed. The Monte Carlo simulation method is employed to model uncertainty parameters of wind speed, electricity and heat demands. Scenario reduction process is also applied to reduce computational burden. The proposed scheduling problem is formulated as a mixed integer linear programming (MILP) and solved by CPLEX solver in GAMS software.

引用

页码：724 / 730

页数：7

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