Active–reactive power approaches for optimal placement of charge stations in power systems
| Autor: | Cheng Wang, Weijia Yuan, Francis Robinson, Roderick Dunn, Miles A Redfern, Bo Lian |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
business.industry 020209 energy 020208 electrical & electronic engineering Electrical engineering Energy Engineering and Power Technology Charge (physics) 02 engineering and technology AC power Grid Load profile Power (physics) Electric power system 0202 electrical engineering electronic engineering information engineering Power-flow study Electrical and Electronic Engineering business Energy (signal processing) |
| Zdroj: | International Journal of Electrical Power & Energy Systems. 84:87-98 |
| ISSN: | 0142-0615 |
| DOI: | 10.1016/j.ijepes.2016.04.047 |
| Popis: | Electric Vehicles (EVs) have been suggested as alternatives to conventional vehicles for reducing petrol consumption and carbon dioxide (CO 2 ) emissions. When a large number of EVs connect to the grid, they can cause a large amount of power loss. Where to install multiple charge stations in the grid, so as to mitigate losses caused by EVs when providing energy to those EVs, is becoming vitally important. In this paper, a distribution test-network model is described. A new analytical method is proposed, using the stations’ cooperation in terms of optimal active and reactive power dispatch as well as power flow analysis for locating the optimal placement of charge stations, so as to reduce power losses. This method is compared with the previously developed current density method for single charge stations using system simulation results. It was demonstrated that the methods proposed in this paper are more accurate than the current density method, and that 17% of the average active power loss can be saved for three different types of load profile. In addition, 27% of the average active power loss was saved by installing two charge stations rather than no charge stations in the test-line. It is shown that this could represent a 2.6% annual yield above inflation for investing in installing and running such charge stations. |
| Databáze: | OpenAIRE |
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