Stability of the Stochastic Model for Power Markets with Interval Parameters

Joint Authors

Lu, Zhanhui
Li, Gengyin
Ji, Mengfan
Wang, Weijuan

Source

Mathematical Problems in Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-11-28

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Civil Engineering

Abstract EN

Pertaining to the random nature of demand sides and the range of demand elasticity with suppliers and consumers, a stochastic model for power markets with interval parameters is described to illustrate uncertain external disturbances, which is a generalization of the Alvarado dynamic model, stochastic model, and interval model.

The interval stochastic stability criteria of the provided model are investigated by the theory of economics, interval dynamical system, and the theory stability of stochastic differential equations.

The conclusions indicate that the demand elasticity stable interval can be calculated and the random excitation intensity does not impact the system stability.

Some numerical examples are given to show the applicability and validity of the obtained results from a statistical perspective.

American Psychological Association (APA)

Lu, Zhanhui& Ji, Mengfan& Wang, Weijuan& Li, Gengyin. 2016. Stability of the Stochastic Model for Power Markets with Interval Parameters. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112432

Modern Language Association (MLA)

Lu, Zhanhui…[et al.]. Stability of the Stochastic Model for Power Markets with Interval Parameters. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1112432

American Medical Association (AMA)

Lu, Zhanhui& Ji, Mengfan& Wang, Weijuan& Li, Gengyin. Stability of the Stochastic Model for Power Markets with Interval Parameters. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112432

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1112432