A New Approach for Reliability Assessment of a Static V ar Compensator Integrated Smart Grid

Manuel S. Alvarez-Alvarado; Dilan Jayaweera

doi:10.1109/PMAPS.2018.8440239

A New Approach for Reliability Assessment of a Static V ar Compensator Integrated Smart Grid

Manuel S. Alvarez-Alvarado
, Dilan Jayaweera

Electronic, Electrical and Systems Engineering

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

11 Citations (Scopus)

Abstract

This paper presents an algorithm that employs a Sequential Monte Carlo Simulation (SMCS), to estimate operational states of components connected to a grid. Then, by the use of an Accelerated Quantum Particle Swarm Optimization (AQPSO), the algorithm determines the optimum size and location of Static Var Compensators (SVCs). The approach maximizes the level of reliability of the smart grid, which is subject to voltage regulation. The specific contribution of the paper is that it presents the impact of the integration of SVC over the system reliability that leads to a comprehensive composite system adequacy evaluation for a smart grid environment.

Original language	English
Title of host publication	2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	7
ISBN (Electronic)	9781538635964, 9781538635957 (USB)
ISBN (Print)	9781538635971 (PoD)
DOIs	https://doi.org/10.1109/PMAPS.2018.8440239
Publication status	Published - 19 Aug 2018
Event	2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018 - Boise, United States Duration: 24 Jun 2018 → 28 Jun 2018

Publication series

Name	International Conference on Probabilistic Methods Applied to Power Systems
Publisher	IEEE
ISSN (Print)	2642-6730
ISSN (Electronic)	2642-6757

Conference

Conference	2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018
Country/Territory	United States
City	Boise
Period	24/06/18 → 28/06/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Accelerated quantum particle swarm optimization
Markov Chain
Monte Carlo simulation
Reliability assessment
Smart-grids
Static var compensator

ASJC Scopus subject areas

Computer Networks and Communications
Statistics, Probability and Uncertainty
Energy Engineering and Power Technology
Statistics and Probability

Access to Document

10.1109/PMAPS.2018.8440239

Cite this

Alvarez-Alvarado, M. S., & Jayaweera, D. (2018). A New Approach for Reliability Assessment of a Static V ar Compensator Integrated Smart Grid. In 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Article 8440239 (International Conference on Probabilistic Methods Applied to Power Systems). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PMAPS.2018.8440239

Alvarez-Alvarado, Manuel S. ; Jayaweera, Dilan. / A New Approach for Reliability Assessment of a Static V ar Compensator Integrated Smart Grid. 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). Institute of Electrical and Electronics Engineers (IEEE), 2018. (International Conference on Probabilistic Methods Applied to Power Systems).

@inproceedings{3a897e5253cb4838b6a6fffb9879beb2,

title = "A New Approach for Reliability Assessment of a Static V ar Compensator Integrated Smart Grid",

abstract = "This paper presents an algorithm that employs a Sequential Monte Carlo Simulation (SMCS), to estimate operational states of components connected to a grid. Then, by the use of an Accelerated Quantum Particle Swarm Optimization (AQPSO), the algorithm determines the optimum size and location of Static Var Compensators (SVCs). The approach maximizes the level of reliability of the smart grid, which is subject to voltage regulation. The specific contribution of the paper is that it presents the impact of the integration of SVC over the system reliability that leads to a comprehensive composite system adequacy evaluation for a smart grid environment.",

keywords = "Accelerated quantum particle swarm optimization, Markov Chain, Monte Carlo simulation, Reliability assessment, Smart-grids, Static var compensator",

author = "Alvarez-Alvarado, \{Manuel S.\} and Dilan Jayaweera",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018 ; Conference date: 24-06-2018 Through 28-06-2018",

year = "2018",

month = aug,

day = "19",

doi = "10.1109/PMAPS.2018.8440239",

language = "English",

isbn = "9781538635971 (PoD)",

series = "International Conference on Probabilistic Methods Applied to Power Systems",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

booktitle = "2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)",

}

Alvarez-Alvarado, MS & Jayaweera, D 2018, A New Approach for Reliability Assessment of a Static V ar Compensator Integrated Smart Grid. in 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)., 8440239, International Conference on Probabilistic Methods Applied to Power Systems, Institute of Electrical and Electronics Engineers (IEEE), 2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018, Boise, United States, 24/06/18. https://doi.org/10.1109/PMAPS.2018.8440239

A New Approach for Reliability Assessment of a Static V ar Compensator Integrated Smart Grid. / Alvarez-Alvarado, Manuel S.; Jayaweera, Dilan.
2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). Institute of Electrical and Electronics Engineers (IEEE), 2018. 8440239 (International Conference on Probabilistic Methods Applied to Power Systems).

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

TY - GEN

T1 - A New Approach for Reliability Assessment of a Static V ar Compensator Integrated Smart Grid

AU - Alvarez-Alvarado, Manuel S.

AU - Jayaweera, Dilan

PY - 2018/8/19

Y1 - 2018/8/19

N2 - This paper presents an algorithm that employs a Sequential Monte Carlo Simulation (SMCS), to estimate operational states of components connected to a grid. Then, by the use of an Accelerated Quantum Particle Swarm Optimization (AQPSO), the algorithm determines the optimum size and location of Static Var Compensators (SVCs). The approach maximizes the level of reliability of the smart grid, which is subject to voltage regulation. The specific contribution of the paper is that it presents the impact of the integration of SVC over the system reliability that leads to a comprehensive composite system adequacy evaluation for a smart grid environment.

AB - This paper presents an algorithm that employs a Sequential Monte Carlo Simulation (SMCS), to estimate operational states of components connected to a grid. Then, by the use of an Accelerated Quantum Particle Swarm Optimization (AQPSO), the algorithm determines the optimum size and location of Static Var Compensators (SVCs). The approach maximizes the level of reliability of the smart grid, which is subject to voltage regulation. The specific contribution of the paper is that it presents the impact of the integration of SVC over the system reliability that leads to a comprehensive composite system adequacy evaluation for a smart grid environment.

KW - Accelerated quantum particle swarm optimization

KW - Markov Chain

KW - Monte Carlo simulation

KW - Reliability assessment

KW - Smart-grids

KW - Static var compensator

UR - https://www.scopus.com/pages/publications/85053110910

U2 - 10.1109/PMAPS.2018.8440239

DO - 10.1109/PMAPS.2018.8440239

M3 - Conference contribution

AN - SCOPUS:85053110910

SN - 9781538635971 (PoD)

T3 - International Conference on Probabilistic Methods Applied to Power Systems

BT - 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018

Y2 - 24 June 2018 through 28 June 2018

ER -

Alvarez-Alvarado MS, Jayaweera D. A New Approach for Reliability Assessment of a Static V ar Compensator Integrated Smart Grid. In 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). Institute of Electrical and Electronics Engineers (IEEE). 2018. 8440239. (International Conference on Probabilistic Methods Applied to Power Systems). doi: 10.1109/PMAPS.2018.8440239

A New Approach for Reliability Assessment of a Static V ar Compensator Integrated Smart Grid

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this