Publication

DYNAMIC MODEL FOR LOAD MODEL PARAMETERS IDENTIFICATION BASED UPON MEASUREMENT IN THE FIELD.

1984
Reports

Abstract

A load model derived from measurement around the operating point in the field, for long term dynamic simulation, has been defined and experimented for discrete loads in laboratory tests. But network conditions are different and more complex than those in a laboratory. A linear discrete-dynamic system is proposed for describing network random phenomena. Transition matrix elements are studied one by one, and simplifications are proposed. Load model parameters identification is replaced by the identification of transition matrix elements of a linear discrete-dynamic system.

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1984
Reports

Abstract

Official source

Related concepts (29)

Dynamical systems theory

Dynamical systems theory is an area of mathematics used to describe the behavior of complex dynamical systems, usually by employing differential equations or difference equations. When differential equations are employed, the theory is called continuous dynamical systems. From a physical point of view, continuous dynamical systems is a generalization of classical mechanics, a generalization where the equations of motion are postulated directly and are not constrained to be Euler–Lagrange equations of a least action principle.

Dynamical system

In mathematics, a dynamical system is a system in which a function describes the time dependence of a point in an ambient space, such as in a parametric curve. Examples include the mathematical models that describe the swinging of a clock pendulum, the flow of water in a pipe, the random motion of particles in the air, and the number of fish each springtime in a lake. The most general definition unifies several concepts in mathematics such as ordinary differential equations and ergodic theory by allowing different choices of the space and how time is measured.

Network science

Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges). The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, inferential modeling from statistics, and social structure from sociology.

Related publications (2)

DYNAMIC MODEL FOR LOAD MODEL PARAMETERS IDENTIFICATION BASED UPON MEASUREMENT IN THE FIELD.

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