Operational Planning of Electric Vehicles for Balancing Wind Power and Load Fluctuations in a Microgrid

Hongming Yang; Hao Pan; Fengji Luo; Jing Qiu; Youjun Deng; Mingyong Lai; Zhao Yang Dong

doi:10.1109/TSTE.2016.2613941

Operational Planning of Electric Vehicles for Balancing Wind Power and Load Fluctuations in a Microgrid

Hongming Yang
, Hao Pan
, Fengji Luo
, Jing Qiu
, Youjun Deng
, Mingyong Lai
, Zhao Yang Dong

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

121 Citations (Scopus)

Abstract

The intermittency of renewable energy poses challenges on the reliable and economical operations of microgrids. This paper considers a grid-connected microgrid model which consists of a logistics distribution system, where electric vehicles (EVs) depart from the depot, deliver the goods to multiple demand loads, and then, return to the depot. Based on this, this paper studies the coordinated dispatch strategies of EVs to smooth renewable energy and load fluctuations of the microgrid while ensuring the quality of logistics services. A microgrid operation model is proposed to optimize the driving routes, fast-charging time, and regular-charging/discharging strategies of EVs. Specifically, the objective is to minimize the overall operation cost of the microgrid while satisfying the requirements of the logistics distribution tasks. A self-adaptively imperialist competitive algorithm is proposed to solve the model. The simulation results demonstrate the effectiveness of the proposed model. © 2016 IEEE.

Original language	English
Pages (from-to)	592-604
Journal	IEEE Transactions on Sustainable Energy
Volume	8
Issue number	2
DOIs	https://doi.org/10.1109/TSTE.2016.2613941
Publication status	Published - 1 Apr 2017
Externally published	Yes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

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

SDG 7 Affordable and Clean Energy

Research Keywords

Electric vehicle
logistics distribution
microgrid operation
self-adaptively imperialist competitive algorithm
wind power

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@article{6399437c6bb24172997b5508da7131a3,

title = "Operational Planning of Electric Vehicles for Balancing Wind Power and Load Fluctuations in a Microgrid",

abstract = "The intermittency of renewable energy poses challenges on the reliable and economical operations of microgrids. This paper considers a grid-connected microgrid model which consists of a logistics distribution system, where electric vehicles (EVs) depart from the depot, deliver the goods to multiple demand loads, and then, return to the depot. Based on this, this paper studies the coordinated dispatch strategies of EVs to smooth renewable energy and load fluctuations of the microgrid while ensuring the quality of logistics services. A microgrid operation model is proposed to optimize the driving routes, fast-charging time, and regular-charging/discharging strategies of EVs. Specifically, the objective is to minimize the overall operation cost of the microgrid while satisfying the requirements of the logistics distribution tasks. A self-adaptively imperialist competitive algorithm is proposed to solve the model. The simulation results demonstrate the effectiveness of the proposed model. {\textcopyright} 2016 IEEE.",

keywords = "Electric vehicle, logistics distribution, microgrid operation, self-adaptively imperialist competitive algorithm, wind power",

author = "Hongming Yang and Hao Pan and Fengji Luo and Jing Qiu and Youjun Deng and Mingyong Lai and Dong, \{Zhao Yang\}",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].",

year = "2017",

month = apr,

day = "1",

doi = "10.1109/TSTE.2016.2613941",

language = "English",

volume = "8",

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journal = "IEEE Transactions on Sustainable Energy",

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TY - JOUR

T1 - Operational Planning of Electric Vehicles for Balancing Wind Power and Load Fluctuations in a Microgrid

AU - Yang, Hongming

AU - Pan, Hao

AU - Luo, Fengji

AU - Qiu, Jing

AU - Deng, Youjun

AU - Lai, Mingyong

AU - Dong, Zhao Yang

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2017/4/1

Y1 - 2017/4/1

N2 - The intermittency of renewable energy poses challenges on the reliable and economical operations of microgrids. This paper considers a grid-connected microgrid model which consists of a logistics distribution system, where electric vehicles (EVs) depart from the depot, deliver the goods to multiple demand loads, and then, return to the depot. Based on this, this paper studies the coordinated dispatch strategies of EVs to smooth renewable energy and load fluctuations of the microgrid while ensuring the quality of logistics services. A microgrid operation model is proposed to optimize the driving routes, fast-charging time, and regular-charging/discharging strategies of EVs. Specifically, the objective is to minimize the overall operation cost of the microgrid while satisfying the requirements of the logistics distribution tasks. A self-adaptively imperialist competitive algorithm is proposed to solve the model. The simulation results demonstrate the effectiveness of the proposed model. © 2016 IEEE.

AB - The intermittency of renewable energy poses challenges on the reliable and economical operations of microgrids. This paper considers a grid-connected microgrid model which consists of a logistics distribution system, where electric vehicles (EVs) depart from the depot, deliver the goods to multiple demand loads, and then, return to the depot. Based on this, this paper studies the coordinated dispatch strategies of EVs to smooth renewable energy and load fluctuations of the microgrid while ensuring the quality of logistics services. A microgrid operation model is proposed to optimize the driving routes, fast-charging time, and regular-charging/discharging strategies of EVs. Specifically, the objective is to minimize the overall operation cost of the microgrid while satisfying the requirements of the logistics distribution tasks. A self-adaptively imperialist competitive algorithm is proposed to solve the model. The simulation results demonstrate the effectiveness of the proposed model. © 2016 IEEE.

KW - Electric vehicle

KW - logistics distribution

KW - microgrid operation

KW - self-adaptively imperialist competitive algorithm

KW - wind power

UR - https://www.scopus.com/pages/publications/85026468514

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85026468514&origin=recordpage

U2 - 10.1109/TSTE.2016.2613941

DO - 10.1109/TSTE.2016.2613941

M3 - RGC 21 - Publication in refereed journal

SN - 1949-3029

VL - 8

SP - 592

EP - 604

JO - IEEE Transactions on Sustainable Energy

JF - IEEE Transactions on Sustainable Energy

IS - 2

ER -

Operational Planning of Electric Vehicles for Balancing Wind Power and Load Fluctuations in a Microgrid

Abstract

Bibliographical note

UN SDGs

Research Keywords

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