{"title":"一种基于发电负荷平衡的风电系统可靠性预测方法","authors":"Xinlei Cai, Jinzhou Zhu, Xu Lin, Yanlin Cui, Xinglang Xie","doi":"10.1145/3579654.3579745","DOIUrl":null,"url":null,"abstract":"Wind power is safe and can be developed and utilized sustainability. It is one of the new energy power generation methods to deal with the depletion of fossil energy and the pollution of thermal power and nuclear power. However, the randomness of natural wind is large, which brings challenges to the safe operation of wind power system and the grid connection of wind energy. Reliability prediction is an effective method to improve the safe operation ability of wind power system. Therefore, this paper proposes a prediction and analysis method based on the risk and reliability of wind power system. Through a set of historical wind turbine power generation and power load data, the balance relationship between wind power generation and load is obtained through prediction; From the perspective of balance between power generation and load, the load demand of the next year is predicted. Finally, an example is simulated, and the results are compared with the real-time data of the wind farm. The results of simulation and actual data verify the effectiveness of this method, which shows that the method proposed in this paper can effectively predict the power load demand and the reliability of wind power system.","PeriodicalId":146783,"journal":{"name":"Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Method for the Reliability Prediction of Wind Power System based on Generation-Load Balance\",\"authors\":\"Xinlei Cai, Jinzhou Zhu, Xu Lin, Yanlin Cui, Xinglang Xie\",\"doi\":\"10.1145/3579654.3579745\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wind power is safe and can be developed and utilized sustainability. It is one of the new energy power generation methods to deal with the depletion of fossil energy and the pollution of thermal power and nuclear power. However, the randomness of natural wind is large, which brings challenges to the safe operation of wind power system and the grid connection of wind energy. Reliability prediction is an effective method to improve the safe operation ability of wind power system. Therefore, this paper proposes a prediction and analysis method based on the risk and reliability of wind power system. Through a set of historical wind turbine power generation and power load data, the balance relationship between wind power generation and load is obtained through prediction; From the perspective of balance between power generation and load, the load demand of the next year is predicted. Finally, an example is simulated, and the results are compared with the real-time data of the wind farm. The results of simulation and actual data verify the effectiveness of this method, which shows that the method proposed in this paper can effectively predict the power load demand and the reliability of wind power system.\",\"PeriodicalId\":146783,\"journal\":{\"name\":\"Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3579654.3579745\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3579654.3579745","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Method for the Reliability Prediction of Wind Power System based on Generation-Load Balance
Wind power is safe and can be developed and utilized sustainability. It is one of the new energy power generation methods to deal with the depletion of fossil energy and the pollution of thermal power and nuclear power. However, the randomness of natural wind is large, which brings challenges to the safe operation of wind power system and the grid connection of wind energy. Reliability prediction is an effective method to improve the safe operation ability of wind power system. Therefore, this paper proposes a prediction and analysis method based on the risk and reliability of wind power system. Through a set of historical wind turbine power generation and power load data, the balance relationship between wind power generation and load is obtained through prediction; From the perspective of balance between power generation and load, the load demand of the next year is predicted. Finally, an example is simulated, and the results are compared with the real-time data of the wind farm. The results of simulation and actual data verify the effectiveness of this method, which shows that the method proposed in this paper can effectively predict the power load demand and the reliability of wind power system.