Optimal Dispatch of High-Penetration Renewable Energy Integrated Power System Based on Flexible Resources
The volatility and uncertainty of high-penetration renewable energy (RE) challenge the stability of the power system. To tackle this challenge, an optimal dispatch of high-penetration RE based on flexible resources (FRs) is proposed to enhance the ability of the power system to cope with uncertain d...
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MDPI AG
2020-07-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/13/13/3456 |
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author | Jiawei Feng Junyou Yang Haixin Wang Huichao Ji Martin Onyeka Okoye Jia Cui Weichun Ge Bo Hu Gang Wang |
author_facet | Jiawei Feng Junyou Yang Haixin Wang Huichao Ji Martin Onyeka Okoye Jia Cui Weichun Ge Bo Hu Gang Wang |
author_sort | Jiawei Feng |
collection | DOAJ |
description | The volatility and uncertainty of high-penetration renewable energy (RE) challenge the stability of the power system. To tackle this challenge, an optimal dispatch of high-penetration RE based on flexible resources (FRs) is proposed to enhance the ability of the power system to cope with uncertain disturbances. Firstly, the flexibility of a high-penetration RE integrated power system is analyzed. The flexibility margin of power supply and flexible adaptability of RE are then introduced as the evaluation indices for optimal operation. Finally, a multi-objective optimal dispatch model for power system flexibility enhancement based on FRs under the constraint of flexibility indices is proposed. The simulation results show that the proposed optimal dispatch can effectively enhance the flexibility of the power system and the penetration of RE and reduce pollutant emissions. Compared with the conventional method, the daily average emissions of <i>CO<sub>2</sub></i>, <i>SO<sub>2</sub></i>, and <i>NO<sub>x</sub></i> with the proposed method are reduced by about 83,600 kg, 870 kg, and 370 kg, respectively, the maximum allowable volatility of net load is increased by 7.63%, and the average volatility of net load is reduced by 2.67%. |
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format | Article |
id | doaj.art-a1872d84875a4395b0e84d1cea57012e |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T18:41:45Z |
publishDate | 2020-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-a1872d84875a4395b0e84d1cea57012e2023-11-20T05:48:40ZengMDPI AGEnergies1996-10732020-07-011313345610.3390/en13133456Optimal Dispatch of High-Penetration Renewable Energy Integrated Power System Based on Flexible ResourcesJiawei Feng0Junyou Yang1Haixin Wang2Huichao Ji3Martin Onyeka Okoye4Jia Cui5Weichun Ge6Bo Hu7Gang Wang8School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, ChinaSchool of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, ChinaSchool of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, ChinaSchool of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, ChinaSchool of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, ChinaSchool of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, ChinaState Grid Liaoning Electric Power Supply Co. Ltd., Shenyang 110004, ChinaState Grid Liaoning Electric Power Supply Co. Ltd., Shenyang 110004, ChinaPower Science Research Institute of State Grid Liaoning Electric Power Co. Ltd., Shenyang 110006, ChinaThe volatility and uncertainty of high-penetration renewable energy (RE) challenge the stability of the power system. To tackle this challenge, an optimal dispatch of high-penetration RE based on flexible resources (FRs) is proposed to enhance the ability of the power system to cope with uncertain disturbances. Firstly, the flexibility of a high-penetration RE integrated power system is analyzed. The flexibility margin of power supply and flexible adaptability of RE are then introduced as the evaluation indices for optimal operation. Finally, a multi-objective optimal dispatch model for power system flexibility enhancement based on FRs under the constraint of flexibility indices is proposed. The simulation results show that the proposed optimal dispatch can effectively enhance the flexibility of the power system and the penetration of RE and reduce pollutant emissions. Compared with the conventional method, the daily average emissions of <i>CO<sub>2</sub></i>, <i>SO<sub>2</sub></i>, and <i>NO<sub>x</sub></i> with the proposed method are reduced by about 83,600 kg, 870 kg, and 370 kg, respectively, the maximum allowable volatility of net load is increased by 7.63%, and the average volatility of net load is reduced by 2.67%.https://www.mdpi.com/1996-1073/13/13/3456flexibility evaluation indicesflexible resourceshigh-penetration renewable energyinterruptible loadoptimal dispatch |
spellingShingle | Jiawei Feng Junyou Yang Haixin Wang Huichao Ji Martin Onyeka Okoye Jia Cui Weichun Ge Bo Hu Gang Wang Optimal Dispatch of High-Penetration Renewable Energy Integrated Power System Based on Flexible Resources Energies flexibility evaluation indices flexible resources high-penetration renewable energy interruptible load optimal dispatch |
title | Optimal Dispatch of High-Penetration Renewable Energy Integrated Power System Based on Flexible Resources |
title_full | Optimal Dispatch of High-Penetration Renewable Energy Integrated Power System Based on Flexible Resources |
title_fullStr | Optimal Dispatch of High-Penetration Renewable Energy Integrated Power System Based on Flexible Resources |
title_full_unstemmed | Optimal Dispatch of High-Penetration Renewable Energy Integrated Power System Based on Flexible Resources |
title_short | Optimal Dispatch of High-Penetration Renewable Energy Integrated Power System Based on Flexible Resources |
title_sort | optimal dispatch of high penetration renewable energy integrated power system based on flexible resources |
topic | flexibility evaluation indices flexible resources high-penetration renewable energy interruptible load optimal dispatch |
url | https://www.mdpi.com/1996-1073/13/13/3456 |
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