Multi-Time Scale Rolling Economic Dispatch for Wind/Storage Power System Based on Forecast Error Feature Extraction
| Autor: | Yu Dong, Xuesong Wang, Li Han, Rongchang Zhang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Control and Optimization
Scale (ratio) Computer science Total cost wind power accommodation 020209 energy Energy Engineering and Power Technology Thermal power station factor feature extraction 02 engineering and technology lcsh:Technology Compensation (engineering) wind power forecast error Spillage Electric power system real-time error compensation 0202 electrical engineering electronic engineering information engineering battery energy storage system Electrical and Electronic Engineering Engineering (miscellaneous) Wind power lcsh:T multi-time scale rolling dispatch Renewable Energy Sustainability and the Environment business.industry 020208 electrical & electronic engineering Economic dispatch Reliability engineering business Energy (miscellaneous) |
| Zdroj: | Energies Volume 11 Issue 8 Energies, Vol 11, Iss 8, p 2124 (2018) |
| ISSN: | 1996-1073 |
| DOI: | 10.3390/en11082124 |
| Popis: | This paper looks at the ability to cope with the uncertainty of wind power and reduce the impact of wind power forecast error (WPFE) on the operation and dispatch of power system. Therefore, several factors which are related to WPFE will be studied. By statistical analysis of the historical data, an indicator of real-time error based on these factors is obtained to estimate WPFE. Based on the real-time estimation of WPFE, a multi-time scale rolling dispatch model for wind/storage power system is established. In the real-time error compensation section of this model, the previous dispatch plan of thermal power unit is revised according to the estimation of WPFE. As the regulating capacity of thermal power unit within a short time period is limited, the estimation of WPFE is further compensated by using battery energy storage system. This can not only decrease the risk caused by the wind power uncertainty and lessen wind spillage, but also reduce the total cost. Thereby providing a new method to describe and model wind power uncertainty, and providing economic, safe and energy-saving dispatch plan for power system. The analysis in case study verifies the effectiveness of the proposed model. |
| Databáze: | OpenAIRE |
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