Optimal schedule of plug in electric vehicles in smart grid with constrained parking lots

Lokesh Kumar Panwar; K. Srikanth Reddy; Ashu Verma; B. K. Panigrahi; Rajesh Kumar

doi:10.1109/ICPES.2016.7584080

Optimal schedule of plug in electric vehicles in smart grid with constrained parking lots

Lokesh Kumar Panwar
, K. Srikanth Reddy
, Ashu Verma
, B. K. Panigrahi
, Rajesh Kumar

Indian Institute of Technology Delhi
Malaviya National Institute of Technology

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

3 Citations (Scopus)

Abstract

Global warming and climate changes propelled many clean technologies across various fields. The electrification of transportation is considered to be one of the key approaches that can curtail the pollution levels prevailing across global fraternity. Electric vehicle (EV) technologies gained substantial importance in this context. The versatility of EV acting as source and sink in a power system projected many challenges. This paper examines one of such challenge i.e., optimal charge-discharge scheduling of EV along with conventional thermal unit commitment (UC). A modified particle swarm optimization (MPSO) is developed to solve the optimal schedule of EV. In addition, a binary version of MPSO is also developed to determine commitment schedule of thermal units. Results confirm the effectiveness of MPSO in solving UC problem compared to some of the benchmark optimization approaches used to solve UC problem.

Original language	English
Title of host publication	2016 IEEE 6th International Conference on Power Systems, ICPS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509001286
DOIs	https://doi.org/10.1109/ICPES.2016.7584080
Publication status	Published - 5 Oct 2016
Externally published	Yes
Event	6th IEEE International Conference on Power Systems, ICPS 2016 - New Delhi, India Duration: 4 Mar 2016 → 6 Mar 2016

Publication series

Name	2016 IEEE 6th International Conference on Power Systems, ICPS 2016

Conference

Conference	6th IEEE International Conference on Power Systems, ICPS 2016
Country/Territory	India
City	New Delhi
Period	4/03/16 → 6/03/16

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 13 Climate Action

Keywords

Constraint Parking Lots (CPL)
Modern Electric Vehicle (MEV)
Modified Partical swarm Optimization (MPSO) etc
Unit Commitment (UC)
Vehicle to Grid (V2G)

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization

Access to Document

10.1109/ICPES.2016.7584080

Cite this

Panwar, L. K., Srikanth Reddy, K., Verma, A., Panigrahi, B. K., & Kumar, R. (2016). Optimal schedule of plug in electric vehicles in smart grid with constrained parking lots. In 2016 IEEE 6th International Conference on Power Systems, ICPS 2016 Article 7584080 (2016 IEEE 6th International Conference on Power Systems, ICPS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPES.2016.7584080

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title = "Optimal schedule of plug in electric vehicles in smart grid with constrained parking lots",

abstract = "Global warming and climate changes propelled many clean technologies across various fields. The electrification of transportation is considered to be one of the key approaches that can curtail the pollution levels prevailing across global fraternity. Electric vehicle (EV) technologies gained substantial importance in this context. The versatility of EV acting as source and sink in a power system projected many challenges. This paper examines one of such challenge i.e., optimal charge-discharge scheduling of EV along with conventional thermal unit commitment (UC). A modified particle swarm optimization (MPSO) is developed to solve the optimal schedule of EV. In addition, a binary version of MPSO is also developed to determine commitment schedule of thermal units. Results confirm the effectiveness of MPSO in solving UC problem compared to some of the benchmark optimization approaches used to solve UC problem.",

keywords = "Constraint Parking Lots (CPL), Modern Electric Vehicle (MEV), Modified Partical swarm Optimization (MPSO) etc, Unit Commitment (UC), Vehicle to Grid (V2G)",

author = "Panwar, \{Lokesh Kumar\} and \{Srikanth Reddy\}, K. and Ashu Verma and Panigrahi, \{B. K.\} and Rajesh Kumar",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 6th IEEE International Conference on Power Systems, ICPS 2016 ; Conference date: 04-03-2016 Through 06-03-2016",

year = "2016",

month = oct,

day = "5",

doi = "10.1109/ICPES.2016.7584080",

language = "English",

series = "2016 IEEE 6th International Conference on Power Systems, ICPS 2016",

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}

Panwar, LK, Srikanth Reddy, K, Verma, A, Panigrahi, BK & Kumar, R 2016, Optimal schedule of plug in electric vehicles in smart grid with constrained parking lots. in 2016 IEEE 6th International Conference on Power Systems, ICPS 2016., 7584080, 2016 IEEE 6th International Conference on Power Systems, ICPS 2016, Institute of Electrical and Electronics Engineers Inc., 6th IEEE International Conference on Power Systems, ICPS 2016, New Delhi, India, 4/03/16. https://doi.org/10.1109/ICPES.2016.7584080

Optimal schedule of plug in electric vehicles in smart grid with constrained parking lots. / Panwar, Lokesh Kumar; Srikanth Reddy, K.; Verma, Ashu et al.
2016 IEEE 6th International Conference on Power Systems, ICPS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7584080 (2016 IEEE 6th International Conference on Power Systems, ICPS 2016).

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

TY - GEN

T1 - Optimal schedule of plug in electric vehicles in smart grid with constrained parking lots

AU - Panwar, Lokesh Kumar

AU - Srikanth Reddy, K.

AU - Verma, Ashu

AU - Panigrahi, B. K.

AU - Kumar, Rajesh

PY - 2016/10/5

Y1 - 2016/10/5

N2 - Global warming and climate changes propelled many clean technologies across various fields. The electrification of transportation is considered to be one of the key approaches that can curtail the pollution levels prevailing across global fraternity. Electric vehicle (EV) technologies gained substantial importance in this context. The versatility of EV acting as source and sink in a power system projected many challenges. This paper examines one of such challenge i.e., optimal charge-discharge scheduling of EV along with conventional thermal unit commitment (UC). A modified particle swarm optimization (MPSO) is developed to solve the optimal schedule of EV. In addition, a binary version of MPSO is also developed to determine commitment schedule of thermal units. Results confirm the effectiveness of MPSO in solving UC problem compared to some of the benchmark optimization approaches used to solve UC problem.

AB - Global warming and climate changes propelled many clean technologies across various fields. The electrification of transportation is considered to be one of the key approaches that can curtail the pollution levels prevailing across global fraternity. Electric vehicle (EV) technologies gained substantial importance in this context. The versatility of EV acting as source and sink in a power system projected many challenges. This paper examines one of such challenge i.e., optimal charge-discharge scheduling of EV along with conventional thermal unit commitment (UC). A modified particle swarm optimization (MPSO) is developed to solve the optimal schedule of EV. In addition, a binary version of MPSO is also developed to determine commitment schedule of thermal units. Results confirm the effectiveness of MPSO in solving UC problem compared to some of the benchmark optimization approaches used to solve UC problem.

KW - Constraint Parking Lots (CPL)

KW - Modern Electric Vehicle (MEV)

KW - Modified Partical swarm Optimization (MPSO) etc

KW - Unit Commitment (UC)

KW - Vehicle to Grid (V2G)

UR - https://www.scopus.com/pages/publications/84994070650

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DO - 10.1109/ICPES.2016.7584080

M3 - Conference contribution

AN - SCOPUS:84994070650

T3 - 2016 IEEE 6th International Conference on Power Systems, ICPS 2016

BT - 2016 IEEE 6th International Conference on Power Systems, ICPS 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE International Conference on Power Systems, ICPS 2016

Y2 - 4 March 2016 through 6 March 2016

ER -

Panwar LK, Srikanth Reddy K, Verma A, Panigrahi BK, Kumar R. Optimal schedule of plug in electric vehicles in smart grid with constrained parking lots. In 2016 IEEE 6th International Conference on Power Systems, ICPS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7584080. (2016 IEEE 6th International Conference on Power Systems, ICPS 2016). doi: 10.1109/ICPES.2016.7584080

Optimal schedule of plug in electric vehicles in smart grid with constrained parking lots

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this