| Autor: |
Irina V. Samoylenko, Vladimir V. Samoylenko, Vladimir V. Fedorenko |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
2019 International Russian Automation Conference (RusAutoCon). |
| DOI: |
10.1109/rusautocon.2019.8867820 |
| Popis: |
The article focuses on the features of a system approach to modeling of combined solar-wind power plants as microgrid systems. The necessity of using a battery with adaptive-intelligent control between sources and consumers is noted to stabilize the operation of solar-wind power plants in changing weather conditions with unpredictable electricity consumption market. The methods of optimization of microgrid operation are analyzed in publications in order to reduce the costs of the power system. The advantage of the dynamic programming method in contrast to the linear and quadratic programming is that the objective and limiting function can be of any kind. Since the accumulated energy in the storage device is a product of sale, the charge degree of the battery indirectly reflects the economic indicator of the studied microgrid system. The model of technical and economic optimization of charge-discharge battery cycles in the microgrid is proposed on the basis of economic indicators and technical characteristics of the batteries. A criterion of maximizing the profit from the sale of accumulated electricity is formulated, taking into account the limitations on the technical indicators of the battery nodes. Since the dynamic programming method works with sequential tasks, the evolution of the battery state (the degree of its charge) during the accumulation or sale of electricity is considered in stages during the day. A comparative evaluation of the daily control of the system is illustrated in the implementation of the accumulated energy according to the directive rules and optimized algorithm. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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