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Dissertation
Analog methods for power system analysis and load modeling
Doctor of Philosophy (Ph.D.), Drexel University
Jun 2008
DOI:
https://doi.org/10.17918/etd-2822
Abstract
This dissertation explores how and why analog computation may be utilized to study several aspects of power system load behavior. An analog computer is one which utilizes continuous electrical signals instead of discrete bits, 0's and 1's, to represent numerical values. Generally, it is utilized to solve a set of complex nonlinear differential equations: a process referred to as analog emulation. In the first chapters, this work examines how load may be represented in a modern analog computer designed to emulate the behavior of a multi-bus power system and perform fast power-flow analysis. Focus is placed on the design, testing, and fabrication of a printer circuit (PC) board for this purpose. In later chapters, it examines the effect of system size and model complexity on analog and hybrid (combination of analog and digital hardware) computation times. Focus is placed on static security analysis (SSA) as well as a method to minimize these computation times through reduced actuation and data acquisition. In the final chapters, this work examines how analog hardware may be utilized to perform measurement-based composite load modeling. Focus is placed on the theory, design, and testing of an analog circuit to estimate the parameters of an assumed load model from network observation. The accuracy of a power-flow analysis is only as accurate as the models and parameters that it utilizes. For this reason, the utilization of analog hardware to both represent load in power-flow analysis (state determination) and model load behavior (parameter estimation) are addressed in this dissertation.
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Details
- Title
- Analog methods for power system analysis and load modeling
- Creators
- Anthony Steven Deese - DU
- Contributors
- Chikaodinaka Okechi Dike Nwankpa (Advisor) - DU
- Awarding Institution
- Drexel University
- Degree Awarded
- Doctor of Philosophy (Ph.D.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Resource Type
- Dissertation
- Language
- English
- Academic Unit
- College of Engineering (1970-2026); Electrical (and Computer) Engineering [Historical]; Drexel University
- Other Identifier
- 2822; 991014632561704721