Showing papers on "Power system simulation published in 1968"

An Application of Mixed-Integer Programming Duality to Scheduling Thermal Generating Systems

Abstract: A decomposable mixed-integer programming model for simultaneous economic consideration of unit commitment and short-term dispatch of thermal power generating equipment is presented. An optimum solution procedure is described which takes advantage of the structure of the model and promises computational efficiency in practical applications. Characterizing the demand forecast as a discretized function permits a probabilistic forecast to be incorporated in the scheduling model. The model minimizes the total expected costs of start-up, shutdown, and unit operating costs subject to the demand, reserve, and unit commitment constraints. Extensions to multiple periods and to include additional constraints such as time dependent start-up costs and geographic constraints are given.

Digital Simulation of Multimachine Power Systems for Stability Studies

Abstract: A digital simulation technique suitable for detailed analysis of both large and small disturbances on extensive power systems is presented. The analysis employs a hybrid reference frame for statement of the problem and for its solution. The equations of the interconnecting network are expressed with regard to a synchronously rotating common reference frame and are treated with the aid of matrix methods. Synchronous machine equations and equations of the voltage regulator and of the speed governor are solved in Park's reference frame fixed to the field of each individual machine. Provision is made for representing different machines in different degrees of detail. An efficient numerical technique for solution of the resulting complex nonlinear equations describing the behavior of the complete power system is introduced.

Four Methods of Power System Damping

Abstract: Techniques for damping power system swings have been studied by analog and digital simulation.

A Hybrid Computer Study of a DC Power System: II

Abstract: In this paper the hybrid computer-is-used-to-study dc power system consieing-of a 2-wire transmission system and two 12-phase converters with ground return. This work is an extension of the hybrid computer study of a 6-phase, 2-wire dc system which was reported in Part I of this paper.[2] Several features of a dc power system are presented including a comparison of results obtained from the hybrid computer study and those obtained using the University of Wisconsin ac/dc system simulator for a line-to- ground fault. It appears that the hybrid computer may be used to advantage in studying the effects of ac or dc system disturbances as well as the feasibility of any type of converter control system. Moreover, the simulation techniques presented in this paper may be extended to include a 3-phase transmission system whereupon the hybrid computer may be used to study electrical transients in ac power systems.

Determination of the Dynamic Response of Electrical Systems by Means of a Digital Program

Abstract: All the solutions for the determination of the stability of an electrical network by means of digital computers contain some approximation, because of the complexity of the system simulation. The simplifications adopted in the majority of these programs are not always justified and, therefore, the confidence in the results is not always well established. The choices made in making a new program are discussed. They are related to the network component simulation, to the numerical process, and to the program specifications.

Complete system analysis: quantitative system analysis, computer simulation, and system optimization

Abstract: : Many systems and processes in use today are quite complex, and experimentation regarding them is both difficult and expensive. For such systems or processes, mathematical solution for outputs in terms of inputs is usually not feasible, and computer simulation is often an effective and efficient complement to experimentation. Complete system analysis is a general approach to the coordination of experimentation and computer simulation in the analysis and optimization of a system or process. In addition, it is somewhat novel in its approach. Three basic stages of complete system analysis are quantitative system analysis, computer simulation, and system optimization. Quantitative system analysis transforms qualitative elements of the system into numerical form, and constructs a system model for relationships among component parts of the system. It is a comprehensive and definitive approach to model construction. It is followed by computer simulation transforming the model, which is a mathematical representation of the system, into a simulation computer program, which is a computer representation of the system. Experimentation with the system may then be complemented by computer simulation of the system. Finally, system optimization is accomplished by the optimization of a meaningful measure of system effectiveness.

Digital Simulation of the Homeostat Modified to Show Memory and Learning

Abstract: The purpose of this correspondence is to describe the formulation of a FORTRAN IV computer program to simulate a Homeostat modified to show memory and learning. Results of several simulation runs are presented and evaluated in the light of the requirements of self-organizing systems.