Adaptive optimal control of prosumer energy storage system with renewable energy sources
The prosumer can use energy storage to enhance the benefits of electricity trading by transferring buy and sell points. Improving energy efficiency is not considered from the standpoint of the entire system, but from an individual prosumer and in conditions of difficult-to-predict wind power gen...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education
2020-11-01
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| Series: | Омский научный вестник |
| Subjects: | |
| Online Access: | https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2020/5%20(173)/50-56%20%D0%90%D0%BD%D1%82%D0%BE%D0%BD%D0%B5%D0%BD%D0%BA%D0%BE%D0%B2%20%D0%94.%20%D0%92.,%20%D0%9C%D0%B0%D0%BD%D1%83%D1%81%D0%BE%D0%B2%20%D0%92.%20%D0%97.,%20%D0%9C%D0%B0%D1%82%D1%80%D0%B5%D0%BD%D0%B8%D0%BD%20%D0%9F.%20%D0%92.%20%D0%B8%20%D0%B4%D1%80..pdf |
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| Summary: | The prosumer can use energy storage to enhance the benefits of
electricity trading by transferring buy and sell points. Improving
energy efficiency is not considered from the standpoint of the
entire system, but from an individual prosumer and in conditions
of difficult-to-predict wind power generation. This work aims
to optimize the prosumer’s electrical complex by developing a
method for adapting the base of heuristic rules of the prosumer
control to its parameters and climatic conditions. A method for
adaptation control rules using swarm intelligence algorithms is proposed. The computer simulation has shown that the use of
swarm algorithms makes it possible to increase the economic
efficiency of managing the prosumer’s energy storage system by
2–4 times compared to the control rules manually constructed by
an expert. It is shown that the proposed method makes it possible
to automate the construction of the base of control rules. |
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| ISSN: | 1813-8225 2541-7541 |