Research of mathematical models for minimizing power shortage with quadratic losses in power lines and with using network coefficients (sensitivity coefficients)
| Autor: | Denis Boyarkin, Dmitrii Iakubovskii, Dmitry Krupenev |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
lcsh:GE1-350
Mathematical optimization Mathematical model 020209 energy 020208 electrical & electronic engineering Monte Carlo method 02 engineering and technology Power (physics) Electric power system Quadratic equation Electric power transmission Reliability (semiconductor) 0202 electrical engineering electronic engineering information engineering Sensitivity (control systems) lcsh:Environmental sciences Mathematics |
| Zdroj: | E3S Web of Conferences, Vol 216, p 01009 (2020) |
| ISSN: | 2267-1242 |
| Popis: | The article presents an analysis of the models for minimizing the power shortage used in adequacy assessment by the Monte Carlo method. We analysed two models: a model with quadratic losses in power lines and a model using network coefficients (first-order sensitivity coefficients), that are showing the dependence of the change in power flows through power lines on the balance of generation / consumption in the reliability zones. As a result of the analysis, a conclusion is made about the applicability of the investigated models for adequacy assessment in the long-term planning of the development of electric power systems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|