Toward Zero-Emission Hybrid AC/DC Power Systems with Renewable Energy Sources and Storages: A Case Study from Lake Baikal Region
Tourism development in ecologically vulnerable areas like the lake Baikal region in Eastern Siberia is a challenging problem. To this end, the dynamical models of AC/DC hybrid isolated power system consisting of four power grids with renewable generation units and energy storage systems are proposed...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-03-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/5/1226 |
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| author | Denis Sidorov Daniil Panasetsky Nikita Tomin Dmitriy Karamov Aleksei Zhukov Ildar Muftahov Aliona Dreglea Fang Liu Yong Li |
| author_facet | Denis Sidorov Daniil Panasetsky Nikita Tomin Dmitriy Karamov Aleksei Zhukov Ildar Muftahov Aliona Dreglea Fang Liu Yong Li |
| author_sort | Denis Sidorov |
| collection | DOAJ |
| description | Tourism development in ecologically vulnerable areas like the lake Baikal region in Eastern Siberia is a challenging problem. To this end, the dynamical models of AC/DC hybrid isolated power system consisting of four power grids with renewable generation units and energy storage systems are proposed using the advanced methods based on deep reinforcement learning and integral equations. First, the wind and solar irradiance potential of several sites on the lake Baikal’s banks is analyzed as well as the electric load as a function of the climatic conditions. The optimal selection of the energy storage system components is supported in online mode. The approach is justified using the retrospective meteorological datasets. Such a formulation will allow us to develop a number of valuable recommendations related to the optimal control of several autonomous AC/DC hybrid power systems with different structures, equipment composition and kind of AC or DC current. Developed approach provides the valuable information at different stages of AC/DC hybrid power systems projects development with stand-alone hybrid solar-wind power generation systems. |
| first_indexed | 2024-04-14T00:27:45Z |
| format | Article |
| id | doaj.art-c6535839389642c6a4cc55f58ddc1fec |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T00:27:45Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-c6535839389642c6a4cc55f58ddc1fec2022-12-22T02:22:39ZengMDPI AGEnergies1996-10732020-03-01135122610.3390/en13051226en13051226Toward Zero-Emission Hybrid AC/DC Power Systems with Renewable Energy Sources and Storages: A Case Study from Lake Baikal RegionDenis Sidorov0Daniil Panasetsky1Nikita Tomin2Dmitriy Karamov3Aleksei Zhukov4Ildar Muftahov5Aliona Dreglea6Fang Liu7Yong Li8Energy Systems Institute, Siberian Branch of Russian Academy of Sciences, 664033 Irkutsk, RussiaEnergy Systems Institute, Siberian Branch of Russian Academy of Sciences, 664033 Irkutsk, RussiaEnergy Systems Institute, Siberian Branch of Russian Academy of Sciences, 664033 Irkutsk, RussiaEnergy Systems Institute, Siberian Branch of Russian Academy of Sciences, 664033 Irkutsk, RussiaEnergy Systems Institute, Siberian Branch of Russian Academy of Sciences, 664033 Irkutsk, RussiaEnergy Systems Institute, Siberian Branch of Russian Academy of Sciences, 664033 Irkutsk, RussiaBaikal School of BRICS, Irkutsk National Research Technical University, 664033 Irkutsk, RussiaSchool of Automation, Central South University, Changsha 410083, ChinaSchool of Electrical and Information Engineering, Hunan University, Changsha 410082, ChinaTourism development in ecologically vulnerable areas like the lake Baikal region in Eastern Siberia is a challenging problem. To this end, the dynamical models of AC/DC hybrid isolated power system consisting of four power grids with renewable generation units and energy storage systems are proposed using the advanced methods based on deep reinforcement learning and integral equations. First, the wind and solar irradiance potential of several sites on the lake Baikal’s banks is analyzed as well as the electric load as a function of the climatic conditions. The optimal selection of the energy storage system components is supported in online mode. The approach is justified using the retrospective meteorological datasets. Such a formulation will allow us to develop a number of valuable recommendations related to the optimal control of several autonomous AC/DC hybrid power systems with different structures, equipment composition and kind of AC or DC current. Developed approach provides the valuable information at different stages of AC/DC hybrid power systems projects development with stand-alone hybrid solar-wind power generation systems.https://www.mdpi.com/1996-1073/13/5/1226hybrid ac/dc power systemstochastic optimizationrenewable energy sourceforecastingmachine learningvolterra models |
| spellingShingle | Denis Sidorov Daniil Panasetsky Nikita Tomin Dmitriy Karamov Aleksei Zhukov Ildar Muftahov Aliona Dreglea Fang Liu Yong Li Toward Zero-Emission Hybrid AC/DC Power Systems with Renewable Energy Sources and Storages: A Case Study from Lake Baikal Region Energies hybrid ac/dc power system stochastic optimization renewable energy source forecasting machine learning volterra models |
| title | Toward Zero-Emission Hybrid AC/DC Power Systems with Renewable Energy Sources and Storages: A Case Study from Lake Baikal Region |
| title_full | Toward Zero-Emission Hybrid AC/DC Power Systems with Renewable Energy Sources and Storages: A Case Study from Lake Baikal Region |
| title_fullStr | Toward Zero-Emission Hybrid AC/DC Power Systems with Renewable Energy Sources and Storages: A Case Study from Lake Baikal Region |
| title_full_unstemmed | Toward Zero-Emission Hybrid AC/DC Power Systems with Renewable Energy Sources and Storages: A Case Study from Lake Baikal Region |
| title_short | Toward Zero-Emission Hybrid AC/DC Power Systems with Renewable Energy Sources and Storages: A Case Study from Lake Baikal Region |
| title_sort | toward zero emission hybrid ac dc power systems with renewable energy sources and storages a case study from lake baikal region |
| topic | hybrid ac/dc power system stochastic optimization renewable energy source forecasting machine learning volterra models |
| url | https://www.mdpi.com/1996-1073/13/5/1226 |
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