{"title":"分析受IOSS影响的电视对电力系统负荷母线的评估","authors":"Luu Huu Vinh Quang","doi":"10.1109/FES57669.2023.10182374","DOIUrl":null,"url":null,"abstract":"This paper proposes a new algorithm for analyzing the initial optimal steady-state (IOSS) with the optimal power flows (OPF) influencing the transient voltage stability (TVS) to assess the power load buses related to short circuit failure occurring in multi-machine power system operations. We propose a new formula as a new criterion to evaluate the TVS’ estimation of large power load buses involved in the severe disturbances occurring in multi-machine power systems. We compare the transient voltage stability estimation values according to the initial state with those according to the optimized state in daily power system operations for assessing and ranking the power load buses in multi-machine power systems. In this article, we simulate the transient voltage stability estimation’s value under the influence of the power network’s nonlinearity caused by the angular frequency changing in time under the actions of the automatic frequency regulation (AFR) and the automatic voltage regulation (AVR). The nonlinear programming method is applied with the Newton iteration technique to optimize the power output levels of the hydroelectric and thermoelectric generators for simulating the IOSS in daily power system operations. The typical numerical examples and results shown prove the advantages of the new proposed algorithm with new criteria evaluating the transient voltage stability.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analyzing the TVS Influenced by IOSS to Assess the Power Load Buses in Power Systems\",\"authors\":\"Luu Huu Vinh Quang\",\"doi\":\"10.1109/FES57669.2023.10182374\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new algorithm for analyzing the initial optimal steady-state (IOSS) with the optimal power flows (OPF) influencing the transient voltage stability (TVS) to assess the power load buses related to short circuit failure occurring in multi-machine power system operations. We propose a new formula as a new criterion to evaluate the TVS’ estimation of large power load buses involved in the severe disturbances occurring in multi-machine power systems. We compare the transient voltage stability estimation values according to the initial state with those according to the optimized state in daily power system operations for assessing and ranking the power load buses in multi-machine power systems. In this article, we simulate the transient voltage stability estimation’s value under the influence of the power network’s nonlinearity caused by the angular frequency changing in time under the actions of the automatic frequency regulation (AFR) and the automatic voltage regulation (AVR). The nonlinear programming method is applied with the Newton iteration technique to optimize the power output levels of the hydroelectric and thermoelectric generators for simulating the IOSS in daily power system operations. The typical numerical examples and results shown prove the advantages of the new proposed algorithm with new criteria evaluating the transient voltage stability.\",\"PeriodicalId\":165790,\"journal\":{\"name\":\"2023 International Conference on Future Energy Solutions (FES)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Future Energy Solutions (FES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FES57669.2023.10182374\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Future Energy Solutions (FES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FES57669.2023.10182374","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analyzing the TVS Influenced by IOSS to Assess the Power Load Buses in Power Systems
This paper proposes a new algorithm for analyzing the initial optimal steady-state (IOSS) with the optimal power flows (OPF) influencing the transient voltage stability (TVS) to assess the power load buses related to short circuit failure occurring in multi-machine power system operations. We propose a new formula as a new criterion to evaluate the TVS’ estimation of large power load buses involved in the severe disturbances occurring in multi-machine power systems. We compare the transient voltage stability estimation values according to the initial state with those according to the optimized state in daily power system operations for assessing and ranking the power load buses in multi-machine power systems. In this article, we simulate the transient voltage stability estimation’s value under the influence of the power network’s nonlinearity caused by the angular frequency changing in time under the actions of the automatic frequency regulation (AFR) and the automatic voltage regulation (AVR). The nonlinear programming method is applied with the Newton iteration technique to optimize the power output levels of the hydroelectric and thermoelectric generators for simulating the IOSS in daily power system operations. The typical numerical examples and results shown prove the advantages of the new proposed algorithm with new criteria evaluating the transient voltage stability.