Quantification of operating reserves with high penetration of wind power considering extreme values
The high integration of wind energy in power systems requires operating reserves to ensure the reliability and security in the operation. The intermittency and volatility in wind power sets a challenge for day-ahead dispatching in order to schedule generation resources. Therefore,the quantification...
- Autores:
-
Obando Ceron, Johan Samir
González Palomino, Gabriel
Moreno-Chuquen, Ricardo
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Universidad Autónoma de Occidente
- Repositorio:
- RED: Repositorio Educativo Digital UAO
- Idioma:
- eng
- OAI Identifier:
- oai:red.uao.edu.co:10614/13249
- Acceso en línea:
- https://hdl.handle.net/10614/13249
- Palabra clave:
- Energía eólica
Extreme values
Montecarlo simulation
Operating reserves
Optimal power flow
Wind power
- Rights
- openAccess
- License
- Derechos reservados - International Journal of Electrical and Computer Engineering (IJECE), 2020
| Summary: | The high integration of wind energy in power systems requires operating reserves to ensure the reliability and security in the operation. The intermittency and volatility in wind power sets a challenge for day-ahead dispatching in order to schedule generation resources. Therefore,the quantification of operating reserves is addressed in this paper using extreme values through Monte-Carlo simulations. The uncertainty inwind power forecasting is captured by a generalized extreme value distribution to generate scenarios. The day-ahead dispatching model is formulated asa mixed-integer linear quadratic problem including ramping constraints. This approach is tested in the IEEE-118 bus test system including integration of wind power in the system. The results represent the range of values for operating reserves in day-ahead dispatching |
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