Date of Award

3-1-2014

Document Type

Masters Thesis

Degree Name

M.S.

Organizational Unit

Daniel Felix Ritchie School of Engineering and Computer Science

First Advisor

David Wenzhong Gao, Ph.D.

Second Advisor

Mohammad Matin

Third Advisor

Jun Zhang

Fourth Advisor

Stephen Sewalk

Keywords

Control system, Least square method, Micro-grid, Newton-Raphson algorithm, Parameter identification

Abstract

Micro-grid provides an effective means of integrating distributed energy resource (DER) units into the power systems. A micro-grid is defined as an independent low- or medium-voltage distribution network comprising various DER units, power-electronic interfaces, controllable loads, and monitoring and protection devices. Following the development of the renewable energy, micro-grid has attracted much attention.

This thesis emphasizes on the parameter identification of the control system of the micro-grid. The control system plays an important role in the stable operation of the micro-grid. The micro-grid has two operation modes, which are grid-connected operation mode and islanded operation mode. The transition between two operation modes of the micro-grid often occurs according to the condition of the entire grid. In order to make this process smooth, the control system is crucial, and the parameters of the control system is critical to the disturbance suppression during the process of transition.

In the thesis, a method combining least square method with Newton-Raphson algorithm is proposed. In order to prove the utility of the method, the parameter identification of a typical control system and its several separated elements are simulated in MATLAB. This method can identify multiple parameters at the same time and have fast convergence.

Publication Statement

Copyright is held by the author. User is responsible for all copyright compliance.

Rights Holder

Ning Gao

Provenance

Received from ProQuest

File Format

application/pdf

Language

en

File Size

69 p.

Discipline

Electrical engineering

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