Wind Power, Hydropower and Thermal Power Combined Low-Carbon Maintenance Optimization Based on Continuous Hidden Markov Model
[Introduction] In the context of the new power system, low-carbon maintenance of wind turbines and coordinated maintenance with conventional wind turbine generator systems (WTGS) need to be solved urgently. In this paper, taking into account the impact of multi-attribute meteorological factors and l...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Energy Observer Magazine Co., Ltd.
2023-07-01
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| Series: | 南方能源建设 |
| Subjects: | |
| Online Access: | https://www.energychina.press/en/article/doi/10.16516/j.gedi.issn2095-8676.2023.04.005 |
| _version_ | 1797778379687067648 |
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| author | Zhichun HE Min XIE Ying HUANG Yisheng LI Shiping ZHANG |
| author_facet | Zhichun HE Min XIE Ying HUANG Yisheng LI Shiping ZHANG |
| author_sort | Zhichun HE |
| collection | DOAJ |
| description | [Introduction] In the context of the new power system, low-carbon maintenance of wind turbines and coordinated maintenance with conventional wind turbine generator systems (WTGS) need to be solved urgently. In this paper, taking into account the impact of multi-attribute meteorological factors and low carbon and economic needs, an optimization model for wind power, hydropower and thermal power combined low-carbon maintenance based on continuous hidden Markov model is established. [Method] Firstly, dynamic tracking of wind farm maintenance capacity was realized by taking rainfall, wind speed and lightning hazard degree as the observation sequence, taking maintenance capacity as hidden state sequence, and using continuous hidden Markov model (CHMM) process. Then, an optimization model for wind power, hydropower and thermal power combined low-carbon maintenance was constructed by taking the optimal maintenance capacity as the decision-making basis, taking the minimum total cost as the optimization objective, and taking the maintenance constraints and system control constraints into consideration. Finally, took the IEEE30-node system as an example. [Result] The results show that the proposed model has more significant economic benefits and low carbon characteristics. [Conclusion] The research in this paper has high theoretical value for the operation and maintenance of WTGS, and has strong engineering applicability. |
| first_indexed | 2024-03-12T23:17:29Z |
| format | Article |
| id | doaj.art-82e4b8b20e294596b87145327bd438ba |
| institution | Directory Open Access Journal |
| issn | 2095-8676 |
| language | English |
| last_indexed | 2024-03-12T23:17:29Z |
| publishDate | 2023-07-01 |
| publisher | Energy Observer Magazine Co., Ltd. |
| record_format | Article |
| series | 南方能源建设 |
| spelling | doaj.art-82e4b8b20e294596b87145327bd438ba2023-07-17T03:17:54ZengEnergy Observer Magazine Co., Ltd.南方能源建设2095-86762023-07-01104435610.16516/j.gedi.issn2095-8676.2023.04.0052022-231Wind Power, Hydropower and Thermal Power Combined Low-Carbon Maintenance Optimization Based on Continuous Hidden Markov ModelZhichun HE0Min XIE1Ying HUANG2Yisheng LI3Shiping ZHANG4School of Electric Power, South China University of Technology, Guangzhou 510640, Guangdong, ChinaSchool of Electric Power, South China University of Technology, Guangzhou 510640, Guangdong, ChinaSchool of Electric Power, South China University of Technology, Guangzhou 510640, Guangdong, ChinaSchool of Electric Power, South China University of Technology, Guangzhou 510640, Guangdong, ChinaSchool of Electric Power, South China University of Technology, Guangzhou 510640, Guangdong, China[Introduction] In the context of the new power system, low-carbon maintenance of wind turbines and coordinated maintenance with conventional wind turbine generator systems (WTGS) need to be solved urgently. In this paper, taking into account the impact of multi-attribute meteorological factors and low carbon and economic needs, an optimization model for wind power, hydropower and thermal power combined low-carbon maintenance based on continuous hidden Markov model is established. [Method] Firstly, dynamic tracking of wind farm maintenance capacity was realized by taking rainfall, wind speed and lightning hazard degree as the observation sequence, taking maintenance capacity as hidden state sequence, and using continuous hidden Markov model (CHMM) process. Then, an optimization model for wind power, hydropower and thermal power combined low-carbon maintenance was constructed by taking the optimal maintenance capacity as the decision-making basis, taking the minimum total cost as the optimization objective, and taking the maintenance constraints and system control constraints into consideration. Finally, took the IEEE30-node system as an example. [Result] The results show that the proposed model has more significant economic benefits and low carbon characteristics. [Conclusion] The research in this paper has high theoretical value for the operation and maintenance of WTGS, and has strong engineering applicability.https://www.energychina.press/en/article/doi/10.16516/j.gedi.issn2095-8676.2023.04.005wind power operation and maintenancecontinuous hidden markovwind power hydropower and thermal power combinedlow-carbon maintenanceeconomic benefit |
| spellingShingle | Zhichun HE Min XIE Ying HUANG Yisheng LI Shiping ZHANG Wind Power, Hydropower and Thermal Power Combined Low-Carbon Maintenance Optimization Based on Continuous Hidden Markov Model 南方能源建设 wind power operation and maintenance continuous hidden markov wind power hydropower and thermal power combined low-carbon maintenance economic benefit |
| title | Wind Power, Hydropower and Thermal Power Combined Low-Carbon Maintenance Optimization Based on Continuous Hidden Markov Model |
| title_full | Wind Power, Hydropower and Thermal Power Combined Low-Carbon Maintenance Optimization Based on Continuous Hidden Markov Model |
| title_fullStr | Wind Power, Hydropower and Thermal Power Combined Low-Carbon Maintenance Optimization Based on Continuous Hidden Markov Model |
| title_full_unstemmed | Wind Power, Hydropower and Thermal Power Combined Low-Carbon Maintenance Optimization Based on Continuous Hidden Markov Model |
| title_short | Wind Power, Hydropower and Thermal Power Combined Low-Carbon Maintenance Optimization Based on Continuous Hidden Markov Model |
| title_sort | wind power hydropower and thermal power combined low carbon maintenance optimization based on continuous hidden markov model |
| topic | wind power operation and maintenance continuous hidden markov wind power hydropower and thermal power combined low-carbon maintenance economic benefit |
| url | https://www.energychina.press/en/article/doi/10.16516/j.gedi.issn2095-8676.2023.04.005 |
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