Analysis techniques for electrical and mechanical power systems

Author(s):  
P.S. Hale ◽  
R.G. Arno ◽  
D.O. Koval
Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1833 ◽  
Author(s):  
You-Jin Lee ◽  
O-Sang Kwon ◽  
Jeong-Yong Heo ◽  
Chul-Hwan Kim

One of the established unstable power swing (out-of-step) detection algorithms in micro grid/smart grid power systems uses a trajectory of apparent impedance in the R-X plane. However, this algorithm is not suitable for fast out-of-step conditions and it is hard to detect out-of-step conditions exactly. Another algorithm for out-of-step detection is using phasor measurement units (PMUs). However, PMUs need extra equipment. This paper presents the out-of-step detection algorithm using the trajectory of complex power. The trajectory of complex power and generator mechanical power is used to identify out-of-step conditions. A second order low pass digital filter is used to extract the generator mechanical power from the complex power. Variations of complex power are used to identify equilibrium points between stable and unstable conditions. The proposed out-of-step algorithm is based on the modification of assessment of a transient stability using equal area criterion (EAC). The proposed out-of-step algorithm is verified and tested by using alternative transient program/electromagnetic transient program (ATP/EMTP) MODELS.


1993 ◽  
Vol 113 (4) ◽  
pp. 78-88 ◽  
Author(s):  
Shigeo Hayashi ◽  
Akira Kawata ◽  
Takashi Nagasawa ◽  
Naoto Yokoyama

1989 ◽  
Vol 8 (4) ◽  
pp. 148-155
Author(s):  
J. H. R. Enslin ◽  
J. D. Van Wyk

The analysis of power systems, under conditions of contaminated loading and excitation functions, cannot be unambiguously characterized or categorized with current analysis techniques, usually based on Fourier analysis techniques. Correlation techniques are proposed to be effective in the analysis of power transfer in systems where the relationship between loading and excitation functions is non-linear. This analysis technique is proposed in different energy systems, as for example electric and mechanical systems. Typical examples of distortion in power transfer are described, showing practical results and simulations of analysis in electric power networks.


1993 ◽  
Vol 12 (1) ◽  
pp. 51-60
Author(s):  
A. N. Michel ◽  
M. A. Pai ◽  
H. F. Sun ◽  
C. Kulig

1981 ◽  
Vol IA-17 (5) ◽  
pp. 473-480 ◽  
Author(s):  
M. Masood Hassan ◽  
E. Keith Stanek

Author(s):  
G. A. Adebiyi

A combined electrical/mechanical and thermal power generating system is undoubtedly the way to go for optimum overall efficiency in energy conversion. Traditionally, electric power is generated in centralized power stations and subsequently supplied to consumers via extensive grid distribution networks. Waste heat is a by-product that cannot inexpensively be conveyed to meet the demand for thermal power in the communities served. Consequently, the needed thermal power is produced either using the high grade electricity delivered from the grid supply, or by combustion of expensive fuels such as natural gas and oil. Cogeneration and CHP (Cooling, Heating, and Power) systems are designed to utilize waste heat from in-house electrical/mechanical power producing devices such as micro turbines and diesel engines used in industries that are located in the community or district. The generation of mechanical and thermal power from a single fuel input significantly enhances the overall conversion efficiency, which translates to lower CO2 emissions to the environment. Greater stability and reliability in power supply at the community level is achieved via the deployment of CHP systems that provide power on the required scale as well as meet local demand for cooling and/or heating. The magnitude of efficiency gain for CHP systems is often overstated simply because the quality difference between electrical/mechanical power and thermal power is not factored into the equation. This paper focuses on a complete thermodynamic analysis of CHP systems on the basis of the first and second laws of thermodynamics.


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