Abstract
A daily operation of distribution network with the integration of wind power generation (WPG) is presented in this paper. In this study is considered reliability assessment of distribution network, which is one of the key indices to measure the impact of the renewable units' outage such as WPG. The proposed framework maximizes the distribution network operator (DNO) benefits in short-term scheduling model. A Markov model is proposed to a comprehensive reliability assessment of WPG and battery storage system (BSS). The properties of the main parts of the BSS and WPG and their effects on the distribution system reliability is also provided by the Markov model. A scenario-based method is employed to model the uncertainties of WPG and load value. The suggested model is successfully examined on the 9-bus standard system.
| Original language | English |
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| Title of host publication | Proceedings of the IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe |
| Number of pages | 6 |
| Place of Publication | Palermo, Italy |
| Publisher | IEEE Press |
| Publication date | Jun 2018 |
| Pages | 1-6 |
| Article number | 8493814 |
| ISBN (Print) | 978-1-5386-5187-2 |
| ISBN (Electronic) | 978-1-5386-5186-5 |
| DOIs | |
| Publication status | Published - Jun 2018 |
| Event | IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe - Palermo, Italy Duration: 12 Jun 2018 → 15 Jun 2018 https://www.eeeic.net/eeeic/ |
Conference
| Conference | IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe |
|---|---|
| Country/Territory | Italy |
| City | Palermo |
| Period | 12/06/2018 → 15/06/2018 |
| Internet address |
Keywords
- reliability assessment
- Markov model
- wind power generation
- battery storage