Optimal operation of combined cooling heat and power microgrid with PEVs

Ting Wu; Weijie Mai; Mingwen Qin; Chunxue Zhang; Jiayong Li; Yongquan Nie; Junwei Liu; C. Y. Chung

doi:10.1109/PTC.2015.7232270

Optimal operation of combined cooling heat and power microgrid with PEVs

Ting Wu
, Weijie Mai
, Mingwen Qin
, Chunxue Zhang
, Jiayong Li
, Yongquan Nie
, Junwei Liu
, C. Y. Chung

Hong Kong Polytechnic University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Combined cooling heat and power microgrid with renewable energy sources and plug-in electric vehicles (PEVs) offers an effective solution to energy-related problems, such as growing energy demand, increasing energy costs, environmental concerns and grid security. Taking the advantage of bidirectional power flow characteristic of PEVs and time-of-use pricing structure, this paper proposes an energy dispatch model to optimally coordinate the electrical, cooling and heat output of various energy sources and minimize both operational costs and environmental pollution, considering various operational constraints of micro-generation, PEV charge/discharge constraints and distribution of PEV state-of-charge. On the basis of the prediction of the wind speed, power, cooling and heat demand for the next 24 hours, dynamic inertia weight particle swarm optimization algorithm is applied to optimize the operation schedule. Promising simulation results are presented to demonstrate the well-coordinated performance between the flexible PEV loads, micro-generations and external power grid by peak clipping and valley filling with minimal operational costs and pollution.

Original language	English
Title of host publication	2015 IEEE Eindhoven PowerTech, PowerTech 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479976935
DOIs	https://doi.org/10.1109/PTC.2015.7232270
State	Published - 31 Aug 2015
Externally published	Yes
Event	IEEE Eindhoven PowerTech, PowerTech 2015 - Eindhoven, Netherlands Duration: 29 Jun 2015 → 2 Jul 2015

Publication series

Name	2015 IEEE Eindhoven PowerTech, PowerTech 2015

Conference

Conference	IEEE Eindhoven PowerTech, PowerTech 2015
Country/Territory	Netherlands
City	Eindhoven
Period	29/06/15 → 2/07/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 12 Responsible Consumption and Production

Keywords

combined cooling heat and power system
microgrid
particle swarm optimization
plug-in electric vehicles

Access to Document

10.1109/PTC.2015.7232270

Cite this

Wu, T., Mai, W., Qin, M., Zhang, C., Li, J., Nie, Y., Liu, J., & Chung, C. Y. (2015). Optimal operation of combined cooling heat and power microgrid with PEVs. In 2015 IEEE Eindhoven PowerTech, PowerTech 2015 Article 7232270 (2015 IEEE Eindhoven PowerTech, PowerTech 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PTC.2015.7232270

@inproceedings{cee272bc68ff41f09111b9b6dcfe783b,

title = "Optimal operation of combined cooling heat and power microgrid with PEVs",

abstract = "Combined cooling heat and power microgrid with renewable energy sources and plug-in electric vehicles (PEVs) offers an effective solution to energy-related problems, such as growing energy demand, increasing energy costs, environmental concerns and grid security. Taking the advantage of bidirectional power flow characteristic of PEVs and time-of-use pricing structure, this paper proposes an energy dispatch model to optimally coordinate the electrical, cooling and heat output of various energy sources and minimize both operational costs and environmental pollution, considering various operational constraints of micro-generation, PEV charge/discharge constraints and distribution of PEV state-of-charge. On the basis of the prediction of the wind speed, power, cooling and heat demand for the next 24 hours, dynamic inertia weight particle swarm optimization algorithm is applied to optimize the operation schedule. Promising simulation results are presented to demonstrate the well-coordinated performance between the flexible PEV loads, micro-generations and external power grid by peak clipping and valley filling with minimal operational costs and pollution.",

keywords = "combined cooling heat and power system, microgrid, particle swarm optimization, plug-in electric vehicles",

author = "Ting Wu and Weijie Mai and Mingwen Qin and Chunxue Zhang and Jiayong Li and Yongquan Nie and Junwei Liu and Chung, \{C. Y.\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Eindhoven PowerTech, PowerTech 2015 ; Conference date: 29-06-2015 Through 02-07-2015",

year = "2015",

month = aug,

day = "31",

doi = "10.1109/PTC.2015.7232270",

language = "英语",

series = "2015 IEEE Eindhoven PowerTech, PowerTech 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2015 IEEE Eindhoven PowerTech, PowerTech 2015",

address = "美国",

}

Wu, T, Mai, W, Qin, M, Zhang, C, Li, J, Nie, Y, Liu, J & Chung, CY 2015, Optimal operation of combined cooling heat and power microgrid with PEVs. in 2015 IEEE Eindhoven PowerTech, PowerTech 2015., 7232270, 2015 IEEE Eindhoven PowerTech, PowerTech 2015, Institute of Electrical and Electronics Engineers Inc., IEEE Eindhoven PowerTech, PowerTech 2015, Eindhoven, Netherlands, 29/06/15. https://doi.org/10.1109/PTC.2015.7232270

Optimal operation of combined cooling heat and power microgrid with PEVs. / Wu, Ting; Mai, Weijie; Qin, Mingwen et al.
2015 IEEE Eindhoven PowerTech, PowerTech 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7232270 (2015 IEEE Eindhoven PowerTech, PowerTech 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimal operation of combined cooling heat and power microgrid with PEVs

AU - Wu, Ting

AU - Mai, Weijie

AU - Qin, Mingwen

AU - Zhang, Chunxue

AU - Li, Jiayong

AU - Nie, Yongquan

AU - Liu, Junwei

AU - Chung, C. Y.

PY - 2015/8/31

Y1 - 2015/8/31

N2 - Combined cooling heat and power microgrid with renewable energy sources and plug-in electric vehicles (PEVs) offers an effective solution to energy-related problems, such as growing energy demand, increasing energy costs, environmental concerns and grid security. Taking the advantage of bidirectional power flow characteristic of PEVs and time-of-use pricing structure, this paper proposes an energy dispatch model to optimally coordinate the electrical, cooling and heat output of various energy sources and minimize both operational costs and environmental pollution, considering various operational constraints of micro-generation, PEV charge/discharge constraints and distribution of PEV state-of-charge. On the basis of the prediction of the wind speed, power, cooling and heat demand for the next 24 hours, dynamic inertia weight particle swarm optimization algorithm is applied to optimize the operation schedule. Promising simulation results are presented to demonstrate the well-coordinated performance between the flexible PEV loads, micro-generations and external power grid by peak clipping and valley filling with minimal operational costs and pollution.

AB - Combined cooling heat and power microgrid with renewable energy sources and plug-in electric vehicles (PEVs) offers an effective solution to energy-related problems, such as growing energy demand, increasing energy costs, environmental concerns and grid security. Taking the advantage of bidirectional power flow characteristic of PEVs and time-of-use pricing structure, this paper proposes an energy dispatch model to optimally coordinate the electrical, cooling and heat output of various energy sources and minimize both operational costs and environmental pollution, considering various operational constraints of micro-generation, PEV charge/discharge constraints and distribution of PEV state-of-charge. On the basis of the prediction of the wind speed, power, cooling and heat demand for the next 24 hours, dynamic inertia weight particle swarm optimization algorithm is applied to optimize the operation schedule. Promising simulation results are presented to demonstrate the well-coordinated performance between the flexible PEV loads, micro-generations and external power grid by peak clipping and valley filling with minimal operational costs and pollution.

KW - combined cooling heat and power system

KW - microgrid

KW - particle swarm optimization

KW - plug-in electric vehicles

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DO - 10.1109/PTC.2015.7232270

M3 - 会议稿件

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BT - 2015 IEEE Eindhoven PowerTech, PowerTech 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE Eindhoven PowerTech, PowerTech 2015

Y2 - 29 June 2015 through 2 July 2015

ER -

Optimal operation of combined cooling heat and power microgrid with PEVs

Abstract

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UN SDGs

Keywords

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