V. Bezruchko, R. Buinyi, V. Bodunov, A. Krasnozhon, O. Miroshnyk
{"title":"考虑经济因素的风电集电网络电缆芯截面选择","authors":"V. Bezruchko, R. Buinyi, V. Bodunov, A. Krasnozhon, O. Miroshnyk","doi":"10.1109/ESS57819.2022.9969259","DOIUrl":null,"url":null,"abstract":"Wind power plants with nominal power of 0.5-5.5 MW, as a rule, are designed at voltages of 10–35 kV. In addition to technical conditions and restrictions, a number of economic criteria must be taken into account when designing wind power electrical collector networks. For green energy facilities, due to the high green tariff, the energy losses in the electrical collector networks can significantly affect the payback period. Therefore, during the design it is necessary to choose such cross-sections of cable core that will ensure the minimum cost for the entire period of building and operation of the wind power plant. An analytical dependence is obtained, which allows to calculate the economically justified current density for the cores cross-section of such cables for a nominal voltages of 10, 20 and 35 kV for different periods of maximum generation of wind power plants. It is established that changes in the payback period in the range of ±1 year from the estimated cross-section of cable core will not change, because the scale of cores cross-sections is discrete. The values of economic current densities for different periods of maximum generation are given in the article. They allow to choose rational cross-section of cable core during the design of wind power electrical collector networks.","PeriodicalId":432063,"journal":{"name":"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)","volume":"225 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Choosing the Cross-section of Cable Core for Wind Power Electrical Collector Network taking into account the economic factor\",\"authors\":\"V. Bezruchko, R. Buinyi, V. Bodunov, A. Krasnozhon, O. Miroshnyk\",\"doi\":\"10.1109/ESS57819.2022.9969259\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wind power plants with nominal power of 0.5-5.5 MW, as a rule, are designed at voltages of 10–35 kV. In addition to technical conditions and restrictions, a number of economic criteria must be taken into account when designing wind power electrical collector networks. For green energy facilities, due to the high green tariff, the energy losses in the electrical collector networks can significantly affect the payback period. Therefore, during the design it is necessary to choose such cross-sections of cable core that will ensure the minimum cost for the entire period of building and operation of the wind power plant. An analytical dependence is obtained, which allows to calculate the economically justified current density for the cores cross-section of such cables for a nominal voltages of 10, 20 and 35 kV for different periods of maximum generation of wind power plants. It is established that changes in the payback period in the range of ±1 year from the estimated cross-section of cable core will not change, because the scale of cores cross-sections is discrete. The values of economic current densities for different periods of maximum generation are given in the article. They allow to choose rational cross-section of cable core during the design of wind power electrical collector networks.\",\"PeriodicalId\":432063,\"journal\":{\"name\":\"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)\",\"volume\":\"225 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ESS57819.2022.9969259\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESS57819.2022.9969259","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Choosing the Cross-section of Cable Core for Wind Power Electrical Collector Network taking into account the economic factor
Wind power plants with nominal power of 0.5-5.5 MW, as a rule, are designed at voltages of 10–35 kV. In addition to technical conditions and restrictions, a number of economic criteria must be taken into account when designing wind power electrical collector networks. For green energy facilities, due to the high green tariff, the energy losses in the electrical collector networks can significantly affect the payback period. Therefore, during the design it is necessary to choose such cross-sections of cable core that will ensure the minimum cost for the entire period of building and operation of the wind power plant. An analytical dependence is obtained, which allows to calculate the economically justified current density for the cores cross-section of such cables for a nominal voltages of 10, 20 and 35 kV for different periods of maximum generation of wind power plants. It is established that changes in the payback period in the range of ±1 year from the estimated cross-section of cable core will not change, because the scale of cores cross-sections is discrete. The values of economic current densities for different periods of maximum generation are given in the article. They allow to choose rational cross-section of cable core during the design of wind power electrical collector networks.