Abstract
Use of digital computers for power system simulations gained importance during the early fifties. Load flow analysis [Ward and Hale, 1956] was one of the first computer applications in power system analysis. Before the digital computers era, analog computers and scaled physical models were used for power system computation and simulations. For example, analog computers were used to implement load flow like computations. They were called ac network analyzers and used to occupy a large floor area. The sixties and the first half of the seventies witnessed many important breakthroughs in computational methods for power systems like Optimal Power Flow (OPF) algorithm [Dommel and Tinney, 1968], the electromagnetic transients program [Dommel, 1969], power system state estimation [Schweppe and Wildes, 1970], transient stability [Dommel and Sato, 1972], and fast decoupled load flow [Stott and Alsac, 1974]. Since then, the field of power system computations has grown rapidly. In the last five decades, power system computational techniques have evolved dramatically and have achieved a high level of sophistication and maturity. In tandem with the digital computer revolution, many traditional barriers and constraints which existed earlier have been overcome.
The story begins in the late 1960s when there was a concerted effort to develop new operating system techniques. —Richard Petersen, Linux:The Complete Reference
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer Science+Business Media New York
About this chapter
Cite this chapter
Soman, S.A., Khaparde, S.A., Pandit, S. (2002). Introduction. In: Computational Methods for Large Sparse Power Systems Analysis. The Springer International Series in Engineering and Computer Science. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0823-6_1
Download citation
DOI: https://doi.org/10.1007/978-1-4615-0823-6_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5256-3
Online ISBN: 978-1-4615-0823-6
eBook Packages: Springer Book Archive