Svetlana Zhakiyeva, Bekzhan Mukatov, Rustam Nassirkhan, N. Zhakiyev
{"title":"哈萨克斯坦高可再生能源电力系统网络可靠性评估及风险防范措施","authors":"Svetlana Zhakiyeva, Bekzhan Mukatov, Rustam Nassirkhan, N. Zhakiyev","doi":"10.1109/ATIT50783.2020.9349263","DOIUrl":null,"url":null,"abstract":"the electricity generation mix in Kazakhstan will be changed due to pushing up the share of intermittent renewables (RE) in the next two decades. The fulfillment of the expected demand for electricity in 2035 can lead to issues when the transmission capacity limit and permissible power surge are reached. In this paper analyzed two scenarios when renewable generation output in South Kazakhstan dropdown for 50% and 80%. Permissible power surge in the north-south transit according to the dynamic stability conditions and their impact on the network reliability were assessed. The short-term (8 seconds) operating edges of the power system to avoid unstable regimes were calculated using the Power Factory modeling tool. Optimal Power Flow (OPF) modeling approach was used for the technical and economic assessment of the impact of RE penetration in the electric power system of the Republic of Kazakhstan. To conclude, mathematical modeling of the optimal distributed mix of the mass deployment of solar and wind RE could minimize the dynamic instability and violation of power balance in the network.","PeriodicalId":312916,"journal":{"name":"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Network Reliability Assessment and Risk Prevention Measures for the Power System of Kazakhstan Due to High Renewables\",\"authors\":\"Svetlana Zhakiyeva, Bekzhan Mukatov, Rustam Nassirkhan, N. Zhakiyev\",\"doi\":\"10.1109/ATIT50783.2020.9349263\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"the electricity generation mix in Kazakhstan will be changed due to pushing up the share of intermittent renewables (RE) in the next two decades. The fulfillment of the expected demand for electricity in 2035 can lead to issues when the transmission capacity limit and permissible power surge are reached. In this paper analyzed two scenarios when renewable generation output in South Kazakhstan dropdown for 50% and 80%. Permissible power surge in the north-south transit according to the dynamic stability conditions and their impact on the network reliability were assessed. The short-term (8 seconds) operating edges of the power system to avoid unstable regimes were calculated using the Power Factory modeling tool. Optimal Power Flow (OPF) modeling approach was used for the technical and economic assessment of the impact of RE penetration in the electric power system of the Republic of Kazakhstan. To conclude, mathematical modeling of the optimal distributed mix of the mass deployment of solar and wind RE could minimize the dynamic instability and violation of power balance in the network.\",\"PeriodicalId\":312916,\"journal\":{\"name\":\"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ATIT50783.2020.9349263\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATIT50783.2020.9349263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Network Reliability Assessment and Risk Prevention Measures for the Power System of Kazakhstan Due to High Renewables
the electricity generation mix in Kazakhstan will be changed due to pushing up the share of intermittent renewables (RE) in the next two decades. The fulfillment of the expected demand for electricity in 2035 can lead to issues when the transmission capacity limit and permissible power surge are reached. In this paper analyzed two scenarios when renewable generation output in South Kazakhstan dropdown for 50% and 80%. Permissible power surge in the north-south transit according to the dynamic stability conditions and their impact on the network reliability were assessed. The short-term (8 seconds) operating edges of the power system to avoid unstable regimes were calculated using the Power Factory modeling tool. Optimal Power Flow (OPF) modeling approach was used for the technical and economic assessment of the impact of RE penetration in the electric power system of the Republic of Kazakhstan. To conclude, mathematical modeling of the optimal distributed mix of the mass deployment of solar and wind RE could minimize the dynamic instability and violation of power balance in the network.