Modelling uncertainties in electrical power systems with stochastic differential equations
| Autor: | Humberto Verdejo, Wolfgang Kliemann, Cristhian Becker, Almendra Awerkin |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
020209 energy Energy resources 020208 electrical & electronic engineering Energy Engineering and Power Technology Perturbation (astronomy) 02 engineering and technology Energy consumption Electric power system Stochastic differential equation Control theory 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Estimation methods |
| Zdroj: | International Journal of Electrical Power & Energy Systems. 113:322-332 |
| ISSN: | 0142-0615 |
| DOI: | 10.1016/j.ijepes.2019.05.054 |
| Popis: | The presence of uncertainties in electrical power systems is a critical issue due to the effects that those perturbations can induce in the quality, safety and economy of the electrical supply. An accurate representation of these phenomena is needed in order to understand and predict possible damage scenarios, which allows the improvement of system operation. In this context, the method of stochastic differential equations provides a dynamic representation of power systems under continuous time uncertainties. Thus, this paper presents the application of stochastic differential equation in power system analysis and explain a systematic methodology to get a representative model of a perturbation, including estimation methods and a validation procedure. Three real examples are given, two of them related to non-conventional energy resources and the third related to energy consumption. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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