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Massachusetts Institute of Technology

Adaptable power conversion for grid and microgrid applications

Abstract

dc:description.abstract

Power electronics convert and control power and are an essential part of many electronic devices and systems. Increasingly, power converters need to operate over widely varying operating conditions (voltage, current and power level), which can degrade their performance. In many applications, power converters are also being interconnected to form power systems. This is challenging as the converters may have to operate in various configurations. In order to ensure best performance, power converters and systems need to adapt to the operating conditions by adjusting topology, component values or control characteristics. In this thesis, two applications are considered: universal input power supplies and off-grid electrification. More than 3 billion power supplies were sold worldwide in 2014 [1], with efficiencies ranging from 50-90% [2], which results in significant energy loss. A major portion of these are universal input power supplies (designed to operate at AC line voltages found globally). In this thesis, a control technique, Variable Frequency Multiplier (VFX), is developed which compresses the effective operating range required of a resonant converter by switching the inverter and/or rectifier operation between processing energy at a fundamental frequency and one or more harmonic frequencies. This technique was applied to the inverter stage of a stacked-bridge LLC converter for a universal input power supply. An efficiency of 94.9% to 96.6% was achieved for a 50 W converter operating across the entire (4:1) input voltage range. Even though centralized grid infrastructure is widespread, access to electricity is still limited in many parts of the developing world. More than 1.2 billion people globally do not have access to electricity [3]. In this thesis, an ad hoc modular microgrid architecture is developed and field-tested. Contrary to how conventional power systems are designed, these microgrids do not require pre-planning and can operate in any network configuration. Smart power management units have been designed to arbitrarily connect power sources and loads, forming an autonomous microgrid. Accurate power sharing of multiple power sources is demonstrated. A methodology to attain the lowest system cost by designing power converters that reduce lifetime energy loss has also been developed. This enables affordable and reliable electricity to be provided in off-grid areas. Improvements in these applications will have a significant impact on power utilization from the existing grid infrastructure, and will help define the future of power utilization where this infrastructure does not exist. Moreover, the techniques and designs developed, in this thesis, for adaptable and efficient operation of power converters and systems can be easily extended to other applications.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Inam, Wardah
Advisor dc:contributor.advisor
  • David J. Perreault and Khurram K. Afridi.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/105575
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/105575

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Inam, Wardah. Adaptable power conversion for grid and microgrid applications. Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105575