Abstract
In this paper, wind-hydro plant's operational strategy is optimized for obtaining maximum profit. Energy is stored in a water reservoir, which is used accordingly, to maximize the operational profit. An hourly wind forecast of next 48-hours, is used to determine the usage of each component of power plant. Forecasted wind power is stochastic in nature, so two techniques, stochastic programing and Robust Optimization, (RO) are used to determine the operation strategy of wind hydro power plant. It is presented that RO does not require the definition of scenarios or distribution functions for the uncertain data. Moreover, it incorporates uncertainties efficiently without significantly increasing the problem size. Profits estimated by RO are compared with the average profits predicted by Monte Carlo simulations (MCS). Operating schedules obtained from both techniques are also analyzed for further evaluation of each technique in this domain.
| Original language | English |
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| Title of host publication | Proceedings of the 2016 19th International Multi-Topic Conference, INMIC 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509043002 |
| DOIs | |
| State | Published - 2 Feb 2017 |
Publication series
| Name | Proceedings of the 2016 19th International Multi-Topic Conference, INMIC 2016 |
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Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Operational strategy
- renewable integration
- robust optimization
- stochastic programming
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Instrumentation
- Hardware and Architecture
- Software
- Energy Engineering and Power Technology
- Control and Systems Engineering
- Control and Optimization
