Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Fault Protection and Reduced-Order Modeling for Secondary Controller Design of Inverter-Based Microgrids

Al Hassan, Hashim A (2018) Fault Protection and Reduced-Order Modeling for Secondary Controller Design of Inverter-Based Microgrids. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

This is the latest version of this item.

[img] PDF
Restricted to University of Pittsburgh users only until 20 June 2021.

Download (3MB) | Request a Copy

Abstract

This dissertation studies fault detection in the case of low-fault current levels and reduced-order modeling of inverter-based microgrids. A phase-based fault detection method is developed that can detect faults regardless of fault current levels and without reliance on communication systems. The speed of this approach is increased by utilizing all the phases of the three-phase power system, effectively reducing the fault detection duration to one third of a cycle at most. Additionally, for any microgrid system configuration that would cause fault detection difficulties, a model-based fault detection approach is developed. This method can be used without communication for certain system constraints, which are derived analytically. Besides protecting the system properly, controllers are needed to stabilize the system post-faults or post-disturbance events. Model-based controller synthesis methods can be a plausible approach to this problem, but may result in high-order controllers. Using reduced-order models can lower the complexity of controller design. Hence, this dissertation also develops a reduced-order model for microgrids. A dq based reduced order model for secondary layer controller design is developed. The model has a significantly lower order with better accuracy than the current available models. A linear quadratic integral controller is designed based on the lower-order model to demonstrate the application of the proposed model. Simulations are performed to verify the proposed solutions in PSCAD and MATLAB/Simulink environments.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Al Hassan, Hashim Ahashim.hassan2005@gmail.comhaa200000-0001-5890-3710
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee CoChairGrainger, Brandonbmg10@pitt.eduBMG10
Committee CoChairMao, Zhi-Hongzhm4@pitt.eduamro
Committee MemberEl-Jaroudi, Amroamro@pitt.eduamro
Committee MemberReed, Gregorygfr3@pitt.edugfr3
Committee MemberStanchina, Williamwes25@pitt.eduwes25
Committee MemberMajumder, Rajatr.majumder@ieee.org
Date: 20 June 2018
Date Type: Publication
Defense Date: 15 December 2017
Approval Date: 20 June 2018
Submission Date: 24 January 2018
Access Restriction: 3 year -- Restrict access to University of Pittsburgh for a period of 3 years.
Number of Pages: 152
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Electrical and Computer Engineering
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Distributed energy resources, renewable energy, fault detection, fault location, protective coordination, phase based fault detection, model based fault detection, voltage ride-through, inverter, inverter protection, system protection, distributed generation, microgrid modeling, model reduction, reduced order model, voltage source converter, microgrid, secondary control, hierarchical control
Date Deposited: 20 Jun 2018 18:34
Last Modified: 20 Jun 2018 18:34
URI: http://d-scholarship.pitt.edu/id/eprint/33754

Available Versions of this Item

  • Fault Protection and Reduced-Order Modeling for Secondary Controller Design of Inverter-Based Microgrids. (deposited 20 Jun 2018 18:34) [Currently Displayed]

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item