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

Lizhong Xu; Guang Ya Yang; Zhao Xu; Zhaoyang Dong; Jacob Østergaard; Yijia Cao

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

Lizhong Xu, Guang Ya Yang, Zhao Xu, Zhaoyang Dong, Jacob Østergaard, Yijia Cao

Department of Electrical Engineering

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Abstract

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.

Original language	English
Journal	Dianli Xitong Zidonghua
Volume	35
Issue number	9
Pages (from-to)	53-60
ISSN	1000-1026
Publication status	Published - 2011

Keywords

Wind power
Stochastic models
Computer simulation
Scheduling
Electric fault currents
Stochastic systems
Optimization
Integer programming

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@article{913ca2340c274808bbd07f9ff69e796d,

title = "Combined scheduling of electricity and heat in a microgrid with volatile wind power",

abstract = "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. {\textcopyright} 2011 State Grid Electrtic Resarch Institute Press.",

keywords = "Wind power, Stochastic models, Computer simulation, Scheduling, Electric fault currents, Stochastic systems, Optimization, Integer programming",

author = "Lizhong Xu and Yang, {Guang Ya} and Zhao Xu and Zhaoyang Dong and Jacob {\O}stergaard and Yijia Cao",

year = "2011",

language = "English",

volume = "35",

pages = "53--60",

journal = "Dianli Xitong Zidonghua",

issn = "1000-1026",

publisher = "Guowang Dianli Kexue Yanjiuyuan Qikan Zhongxin",

number = "9",

}

TY - JOUR

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

AU - Xu, Lizhong

AU - Yang, Guang Ya

AU - Xu, Zhao

AU - Dong, Zhaoyang

AU - Østergaard, Jacob

AU - Cao, Yijia

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

M3 - Journal article

VL - 35

SP - 53

EP - 60

JO - Dianli Xitong Zidonghua

JF - Dianli Xitong Zidonghua

SN - 1000-1026

IS - 9

ER -