Optimal V2G and G2V Operation of Electric Vehicles using Binary Hybrid Particle Swarm Optimization and Gravitational Search Algorithm

Vishu Gupta; Srikanth Reddy K; Lokesh Panwar; Rajesh Kumar; Bk Panigrahi

doi:10.1109/WIECON-ECE.2017.8468892

Optimal V2G and G2V Operation of Electric Vehicles using Binary Hybrid Particle Swarm Optimization and Gravitational Search Algorithm

Vishu Gupta, Srikanth Reddy K, Lokesh Panwar, Rajesh Kumar, Bk Panigrahi

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

6 Citations (Scopus)

Abstract

The smart grid paradigm enables improved participation of customers in operational aspects of power system. The optimal charge-discharge operation of electric vehicles (EV) is one of the means for improvising such customer participation. Therefore, this paper presents a hybrid meta heuristic approach using particle swarm optimization and gravitational search algorithm for optimal charge-discharge event management of EVs in smart grid. The same is carried out in conjunction with the unit commitment procedure of power system operation. The UC problem belongs to the class of binary optimization problems where the search space is constricted to binary digits. For this, the real valued optimization variables and process is mapped to binary version using tangent hyperbolic transformation. The effectiveness of BHPSO-GSA is examined through extensive numerical experiments on various scenarios. The simulation results are presented, discussed and compared to other existing approaches to demonstrate the superiority of proposed approach in solving UC problem with and without EV in smart grid.

Original language	English
Title of host publication	WIECON-ECE 2017 - IEEE International WIE Conference on Electrical and Computer Engineering 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	157-160
Number of pages	4
ISBN (Electronic)	9781538626214
DOIs	https://doi.org/10.1109/WIECON-ECE.2017.8468892
Publication status	Published - 2 Jul 2017
Externally published	Yes
Event	2017 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2017 - Dehradun, India Duration: 18 Dec 2017 → 19 Dec 2017

Publication series

Name	WIECON-ECE 2017 - IEEE International WIE Conference on Electrical and Computer Engineering 2017

Conference

Conference	2017 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2017
Country/Territory	India
City	Dehradun
Period	18/12/17 → 19/12/17

Keywords

Electric Vehicles
G2V
Gravitational Search Algorithm (GA)
Particle Swarm Optimization (PSO)
UC
V2G

ASJC Scopus subject areas

Computer Science Applications
Hardware and Architecture
Electrical and Electronic Engineering
Computer Vision and Pattern Recognition
Signal Processing

UN SDGs

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

Access to Document

10.1109/WIECON-ECE.2017.8468892

Cite this

Gupta, V., Reddy K, S., Panwar, L., Kumar, R., & Panigrahi, B. (2017). Optimal V2G and G2V Operation of Electric Vehicles using Binary Hybrid Particle Swarm Optimization and Gravitational Search Algorithm. In WIECON-ECE 2017 - IEEE International WIE Conference on Electrical and Computer Engineering 2017 (pp. 157-160). Article 8468892 (WIECON-ECE 2017 - IEEE International WIE Conference on Electrical and Computer Engineering 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WIECON-ECE.2017.8468892

Gupta, Vishu ; Reddy K, Srikanth ; Panwar, Lokesh et al. / Optimal V2G and G2V Operation of Electric Vehicles using Binary Hybrid Particle Swarm Optimization and Gravitational Search Algorithm. WIECON-ECE 2017 - IEEE International WIE Conference on Electrical and Computer Engineering 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 157-160 (WIECON-ECE 2017 - IEEE International WIE Conference on Electrical and Computer Engineering 2017).

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abstract = "The smart grid paradigm enables improved participation of customers in operational aspects of power system. The optimal charge-discharge operation of electric vehicles (EV) is one of the means for improvising such customer participation. Therefore, this paper presents a hybrid meta heuristic approach using particle swarm optimization and gravitational search algorithm for optimal charge-discharge event management of EVs in smart grid. The same is carried out in conjunction with the unit commitment procedure of power system operation. The UC problem belongs to the class of binary optimization problems where the search space is constricted to binary digits. For this, the real valued optimization variables and process is mapped to binary version using tangent hyperbolic transformation. The effectiveness of BHPSO-GSA is examined through extensive numerical experiments on various scenarios. The simulation results are presented, discussed and compared to other existing approaches to demonstrate the superiority of proposed approach in solving UC problem with and without EV in smart grid.",

keywords = "Electric Vehicles, G2V, Gravitational Search Algorithm (GA), Particle Swarm Optimization (PSO), UC, V2G",

author = "Vishu Gupta and {Reddy K}, Srikanth and Lokesh Panwar and Rajesh Kumar and Bk Panigrahi",

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Gupta, V, Reddy K, S, Panwar, L, Kumar, R & Panigrahi, B 2017, Optimal V2G and G2V Operation of Electric Vehicles using Binary Hybrid Particle Swarm Optimization and Gravitational Search Algorithm. in WIECON-ECE 2017 - IEEE International WIE Conference on Electrical and Computer Engineering 2017., 8468892, WIECON-ECE 2017 - IEEE International WIE Conference on Electrical and Computer Engineering 2017, Institute of Electrical and Electronics Engineers Inc., pp. 157-160, 2017 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2017, Dehradun, India, 18/12/17. https://doi.org/10.1109/WIECON-ECE.2017.8468892

Optimal V2G and G2V Operation of Electric Vehicles using Binary Hybrid Particle Swarm Optimization and Gravitational Search Algorithm. / Gupta, Vishu; Reddy K, Srikanth; Panwar, Lokesh et al.
WIECON-ECE 2017 - IEEE International WIE Conference on Electrical and Computer Engineering 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 157-160 8468892 (WIECON-ECE 2017 - IEEE International WIE Conference on Electrical and Computer Engineering 2017).

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

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T1 - Optimal V2G and G2V Operation of Electric Vehicles using Binary Hybrid Particle Swarm Optimization and Gravitational Search Algorithm

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AU - Reddy K, Srikanth

AU - Panwar, Lokesh

AU - Kumar, Rajesh

AU - Panigrahi, Bk

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N2 - The smart grid paradigm enables improved participation of customers in operational aspects of power system. The optimal charge-discharge operation of electric vehicles (EV) is one of the means for improvising such customer participation. Therefore, this paper presents a hybrid meta heuristic approach using particle swarm optimization and gravitational search algorithm for optimal charge-discharge event management of EVs in smart grid. The same is carried out in conjunction with the unit commitment procedure of power system operation. The UC problem belongs to the class of binary optimization problems where the search space is constricted to binary digits. For this, the real valued optimization variables and process is mapped to binary version using tangent hyperbolic transformation. The effectiveness of BHPSO-GSA is examined through extensive numerical experiments on various scenarios. The simulation results are presented, discussed and compared to other existing approaches to demonstrate the superiority of proposed approach in solving UC problem with and without EV in smart grid.

AB - The smart grid paradigm enables improved participation of customers in operational aspects of power system. The optimal charge-discharge operation of electric vehicles (EV) is one of the means for improvising such customer participation. Therefore, this paper presents a hybrid meta heuristic approach using particle swarm optimization and gravitational search algorithm for optimal charge-discharge event management of EVs in smart grid. The same is carried out in conjunction with the unit commitment procedure of power system operation. The UC problem belongs to the class of binary optimization problems where the search space is constricted to binary digits. For this, the real valued optimization variables and process is mapped to binary version using tangent hyperbolic transformation. The effectiveness of BHPSO-GSA is examined through extensive numerical experiments on various scenarios. The simulation results are presented, discussed and compared to other existing approaches to demonstrate the superiority of proposed approach in solving UC problem with and without EV in smart grid.

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KW - Gravitational Search Algorithm (GA)

KW - Particle Swarm Optimization (PSO)

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Y2 - 18 December 2017 through 19 December 2017

ER -

Gupta V, Reddy K S, Panwar L, Kumar R, Panigrahi B. Optimal V2G and G2V Operation of Electric Vehicles using Binary Hybrid Particle Swarm Optimization and Gravitational Search Algorithm. In WIECON-ECE 2017 - IEEE International WIE Conference on Electrical and Computer Engineering 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 157-160. 8468892. (WIECON-ECE 2017 - IEEE International WIE Conference on Electrical and Computer Engineering 2017). doi: 10.1109/WIECON-ECE.2017.8468892

Optimal V2G and G2V Operation of Electric Vehicles using Binary Hybrid Particle Swarm Optimization and Gravitational Search Algorithm

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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