Journal article
Stochastic Optimization Model to STudy the Operational Impacts of High Wind Penetrations in Ireland
A stochastic mixed integer linear optimization scheduling model minimizing system operation costs and treating load and wind power production as stochastic inputs is presented. The schedules are updated in a rolling manner as more up-to-date information becomes available. This is a fundamental change relative to day-ahead unit commitment approaches.
The need for reserves dependent on forecast horizon and share of wind power has been estimated with a statistical model combining load and wind power forecast errors with scenarios of forced outages. The model is used to study operational impacts of future high wind penetrations for the island of Ireland.
Results show that at least 6000 MW of wind (34% of energy demand) can be integrated into the island of Ireland without significant curtailment and reliability problems.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2011 |
| Pages: | 1367-1379 |
| ISSN: | 15580679 and 08858950 |
| Types: | Journal article |
| DOI: | 10.1109/TPWRS.2010.2070848 |
Electricity Energy policy Ireland Planning Power systems Stochastic processes Wind forecasting Wind power generation day-ahead unit commitment approach forecast errors high wind penetrations integer programming linear programming load forecasting power 6000 MW reserves scheduling statistical model stochastic mixed integer linear optimization scheduling model stochastic optimization model stochastic processes unit commitment and dispatch wind power wind power forecast errors wind power plants wind power production
