Smart maintenance model for operational planning of static synchronous compensators

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Authors

Colleges, School and Institutes

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.

Details

Original languageEnglish
Title of host publication2019 IEEE Milano Powertech
Publication statusPublished - 26 Aug 2019
EventIEEE PowerTech 2019, 13th - Bovisa Campus of Politecnico di Milano, Milano, Italy
Duration: 23 Jun 201927 Jun 2019

Publication series

NameIEEE Milan PowerTech

Conference

ConferenceIEEE PowerTech 2019, 13th
CountryItaly
CityMilano
Period23/06/1927/06/19

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