Smart maintenance model for operational planning of static synchronous compensators

Manuel Alvarez Alvarado; Dilan Jayaweera

doi:10.1109/PTC.2019.8810830

Smart maintenance model for operational planning of static synchronous compensators

Manuel Alvarez Alvarado, Dilan Jayaweera

Electronic, Electrical and Systems Engineering

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

1 Citation (Scopus)

230 Downloads (Pure)

Abstract

This paper proposes an innovative smart maintenance (SM) model for scheduling proactive preventive maintenance of static synchronous compensators (STATCOMs). The approach is primarily useful for optimal operational planning of STATCOMs to maximize net benefit that comes from the difference between the power losses reduction savings and the cost of STATCOM’s acquisition and maintenance. The SM model incorporates: 1. Markov chains to describe STATCOM reliability with aging features; and 2. Type I restoration factor to describe the impact of maintenance over component’s virtual age. The optimization problem is solved using the Accelerated Quantum Particle Swarm Optimization (AQPSO), which involves three stages. The first stage determines the optimum number, size, and placement of the STATCOMs. The second stage set the effective maintenance plan. The last stage governs the best operation of the STATCOMs. The results show the efficacy of the proposed model, opening a new pathway to future applications in smart grids.

Original language	English
Title of host publication	2019 IEEE Milano Powertech
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-6
Number of pages	6
ISBN (Electronic)	978-1-5386-4722-6
ISBN (Print)	978-1-5386-4723-3 (PoD)
DOIs	https://doi.org/10.1109/PTC.2019.8810830
Publication status	Published - 26 Aug 2019
Event	IEEE PowerTech 2019, 13th - Bovisa Campus of Politecnico di Milano, Milano, Italy Duration: 23 Jun 2019 → 27 Jun 2019

Publication series

Name	IEEE Milan PowerTech

Conference

Conference	IEEE PowerTech 2019, 13th
Country/Territory	Italy
City	Milano
Period	23/06/19 → 27/06/19

Keywords

Automatic voltage control
Maintenance engineering
Reliability
Planning
Mathematical model
Markov processes
Particle swarm optimization
accelerated quantum particle swarm optimization
operation
power losses
smart maintenance
static synchronous compensator
Smart maintenance
Accelerated quantum particle swarm optimization
Operation
Static synchronous compensator
Power losses

ASJC Scopus subject areas

Safety, Risk, Reliability and Quality
Energy Engineering and Power Technology
Computer Networks and Communications
Renewable Energy, Sustainability and the Environment

UN SDGs

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

Access to Document

10.1109/PTC.2019.8810830Licence: None: All rights reserved

Alvarado_et_al_Smart_maintenance_model_for_operational_planning_of_static_synchronous_compensators_2019_IEEE_Milano_Powertech_2019
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. M. S. Alvarez-Alvarado and D. Jayaweera, "Smart Maintenance Model for Operational Planning of Static Synchronous Compensators," 2019 IEEE Milan PowerTech, Milan, Italy, 2019, pp. 1-6. doi: 10.1109/PTC.2019.8810830
Accepted author manuscript, 837 KBLicence: Other (please specify with Rights Statement)

Cite this

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title = "Smart maintenance model for operational planning of static synchronous compensators",

abstract = "This paper proposes an innovative smart maintenance (SM) model for scheduling proactive preventive maintenance of static synchronous compensators (STATCOMs). The approach is primarily useful for optimal operational planning of STATCOMs to maximize net benefit that comes from the difference between the power losses reduction savings and the cost of STATCOM{\textquoteright}s acquisition and maintenance. The SM model incorporates: 1. Markov chains to describe STATCOM reliability with aging features; and 2. Type I restoration factor to describe the impact of maintenance over component{\textquoteright}s virtual age. The optimization problem is solved using the Accelerated Quantum Particle Swarm Optimization (AQPSO), which involves three stages. The first stage determines the optimum number, size, and placement of the STATCOMs. The second stage set the effective maintenance plan. The last stage governs the best operation of the STATCOMs. The results show the efficacy of the proposed model, opening a new pathway to future applications in smart grids.",

keywords = "Automatic voltage control, Maintenance engineering, Reliability, Planning, Mathematical model, Markov processes, Particle swarm optimization, accelerated quantum particle swarm optimization, operation, power losses, smart maintenance, static synchronous compensator, Smart maintenance, Accelerated quantum particle swarm optimization, Operation, Static synchronous compensator, Power losses",

author = "{Alvarez Alvarado}, Manuel and Dilan Jayaweera",

year = "2019",

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doi = "10.1109/PTC.2019.8810830",

language = "English",

isbn = "978-1-5386-4723-3 (PoD)",

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

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AU - Jayaweera, Dilan

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N2 - This paper proposes an innovative smart maintenance (SM) model for scheduling proactive preventive maintenance of static synchronous compensators (STATCOMs). The approach is primarily useful for optimal operational planning of STATCOMs to maximize net benefit that comes from the difference between the power losses reduction savings and the cost of STATCOM’s acquisition and maintenance. The SM model incorporates: 1. Markov chains to describe STATCOM reliability with aging features; and 2. Type I restoration factor to describe the impact of maintenance over component’s virtual age. The optimization problem is solved using the Accelerated Quantum Particle Swarm Optimization (AQPSO), which involves three stages. The first stage determines the optimum number, size, and placement of the STATCOMs. The second stage set the effective maintenance plan. The last stage governs the best operation of the STATCOMs. The results show the efficacy of the proposed model, opening a new pathway to future applications in smart grids.

AB - This paper proposes an innovative smart maintenance (SM) model for scheduling proactive preventive maintenance of static synchronous compensators (STATCOMs). The approach is primarily useful for optimal operational planning of STATCOMs to maximize net benefit that comes from the difference between the power losses reduction savings and the cost of STATCOM’s acquisition and maintenance. The SM model incorporates: 1. Markov chains to describe STATCOM reliability with aging features; and 2. Type I restoration factor to describe the impact of maintenance over component’s virtual age. The optimization problem is solved using the Accelerated Quantum Particle Swarm Optimization (AQPSO), which involves three stages. The first stage determines the optimum number, size, and placement of the STATCOMs. The second stage set the effective maintenance plan. The last stage governs the best operation of the STATCOMs. The results show the efficacy of the proposed model, opening a new pathway to future applications in smart grids.

KW - Automatic voltage control

KW - Maintenance engineering

KW - Reliability

KW - Planning

KW - Mathematical model

KW - Markov processes

KW - Particle swarm optimization

KW - accelerated quantum particle swarm optimization

KW - operation

KW - power losses

KW - smart maintenance

KW - static synchronous compensator

KW - Smart maintenance

KW - Accelerated quantum particle swarm optimization

KW - Operation

KW - Static synchronous compensator

KW - Power losses

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BT - 2019 IEEE Milano Powertech

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - IEEE PowerTech 2019, 13th

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ER -

Smart maintenance model for operational planning of static synchronous compensators

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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Cite this