Combined scheduling of electricity and heat in a microgrid with volatile wind power

Publication: ResearchJournal article – Annual report year: 2011

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Combined scheduling of electricity and heat in a microgrid with volatile wind power. / Xu, Lizhong; Yang, Guang Ya; Xu, Zhao; Dong, Zhaoyang; Østergaard, Jacob; Cao, Yijia.

In: Dianli Xitong Zidonghua, Vol. 35, No. 9, 2011, p. 53-60.

Publication: ResearchJournal article – Annual report year: 2011

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Author

Xu, Lizhong; Yang, Guang Ya; Xu, Zhao; Dong, Zhaoyang; Østergaard, Jacob; Cao, Yijia / Combined scheduling of electricity and heat in a microgrid with volatile wind power.

In: Dianli Xitong Zidonghua, Vol. 35, No. 9, 2011, p. 53-60.

Publication: ResearchJournal article – Annual report year: 2011

Bibtex

@article{913ca2340c274808bbd07f9ff69e796d,
title = "Combined scheduling of electricity and heat in a microgrid with volatile wind power",
publisher = "Dianli Xitong Zidonghua Zazhishe",
author = "Lizhong Xu and Yang, {Guang Ya} and Zhao Xu and Zhaoyang Dong and Jacob Østergaard and Yijia Cao",
year = "2011",
volume = "35",
number = "9",
pages = "53--60",
journal = "Dianli Xitong Zidonghua",
issn = "1000-1026",

}

RIS

TY - JOUR

T1 - Combined scheduling of electricity and heat in a microgrid with volatile wind power

A1 - Xu,Lizhong

A1 - Yang,Guang Ya

A1 - Xu,Zhao

A1 - Dong,Zhaoyang

A1 - Østergaard,Jacob

A1 - Cao,Yijia

AU - Xu,Lizhong

AU - Yang,Guang Ya

AU - Xu,Zhao

AU - Dong,Zhaoyang

AU - Østergaard,Jacob

AU - Cao,Yijia

PB - Dianli Xitong Zidonghua Zazhishe

PY - 2011

Y1 - 2011

N2 - An optimization model is developed for scheduling electricity and heat production in 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 a microgrid with wind penetration under the deregulated environment. © 2011 State Grid Electrtic Resarch Institute Press.

AB - An optimization model is developed for scheduling electricity and heat production in 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 a microgrid with wind penetration under the deregulated environment. © 2011 State Grid Electrtic Resarch Institute Press.

KW - Wind power

KW - Stochastic models

KW - Computer simulation

KW - Scheduling

KW - Electric fault currents

KW - Stochastic systems

KW - Optimization

KW - Integer programming

JO - Dianli Xitong Zidonghua

JF - Dianli Xitong Zidonghua

SN - 1000-1026

IS - 9

VL - 35

SP - 53

EP - 60

ER -