Combined Scheduling of Electricity and Heat in a Microgrid under Volatile Wind Power

Publication: Research - peer-review › Journal article – Annual report year: 2010

Standard

Combined Scheduling of Electricity and Heat in a Microgrid under Volatile Wind Power. / Yang, Guang Ya ; Østergaard, Jacob; Cao, Yi-jia; Xu, li Zhong; Xu, Zhao; Dong, Zhao Yang.

In: I E T Generation, Transmission and Distribution, 2010.

Publication: Research - peer-review › Journal article – Annual report year: 2010

Publication: Research - peer-review › Journal article – Annual report year: 2010

Bibtex

@article{121eab046d39472da7ae718cc181c278,

title = "Combined Scheduling of Electricity and Heat in a Microgrid under Volatile Wind Power",

publisher = "The/Institution of Engineering and Technology",

author = "Yang, {Guang Ya} and Jacob Østergaard and Yi-jia Cao and Xu, {li Zhong} and Zhao Xu and Dong, {Zhao Yang}",

year = "2010",

journal = "I E T Generation, Transmission and Distribution",

issn = "1751-8687",

}

RIS

TY - JOUR

T1 - Combined Scheduling of Electricity and Heat in a Microgrid under Volatile Wind Power

A1 - Yang,Guang Ya

A1 - Østergaard,Jacob

A1 - Cao,Yi-jia

A1 - Xu,li Zhong

A1 - Xu,Zhao

A1 - Dong,Zhao Yang

AU - Yang,Guang Ya

AU - Østergaard,Jacob

AU - Cao,Yi-jia

AU - Xu,li Zhong

AU - Xu,Zhao

AU - Dong,Zhao Yang

PB - The/Institution of Engineering and Technology

PY - 2010

Y1 - 2010

N2 - This paper develops an optimization model for scheduling electricity and heat production for a Microgrid under a day-ahead market environment considering the operation constraints and the volatility of wind power generation. The model optimizes the total operation costs from energy and heating consumption, meanwhile considers the minimization of the actual flow deviation at the point of common coupling (PCC) from scheduled values. The stochastic nature of wind output is represented by different scenarios with the help of scenario generation and reduction techniques. The model is finally formulated into a mixed-integer programming (MIP) problem. Numerical simulations present the efficacy of the proposed model for day-ahead scheduling of Microgrid with wind penetration under the deregulated environment.

AB - This paper develops an optimization model for scheduling electricity and heat production for a Microgrid under a day-ahead market environment considering the operation constraints and the volatility of wind power generation. The model optimizes the total operation costs from energy and heating consumption, meanwhile considers the minimization of the actual flow deviation at the point of common coupling (PCC) from scheduled values. The stochastic nature of wind output is represented by different scenarios with the help of scenario generation and reduction techniques. The model is finally formulated into a mixed-integer programming (MIP) problem. Numerical simulations present the efficacy of the proposed model for day-ahead scheduling of Microgrid with wind penetration under the deregulated environment.

KW - Wind power

KW - Power system planning

KW - Power systems

KW - Renewable energy sources

JO - I E T Generation, Transmission and Distribution

JF - I E T Generation, Transmission and Distribution

SN - 1751-8687

ER -