Zulfatman Has, Alwan Zanuar Rosyidi, I. Pakaya, N. Mardiyah, N. Nurhadi, M. Effendy
{"title":"基于流量阀控制和电子负荷控制器的微水电厂频率集成控制","authors":"Zulfatman Has, Alwan Zanuar Rosyidi, I. Pakaya, N. Mardiyah, N. Nurhadi, M. Effendy","doi":"10.1109/SPC.2018.8704153","DOIUrl":null,"url":null,"abstract":"Frequency instability is one of the main problems in generating Micro-hydro Power Plant (MHPP) with synchronous generator. Governor control using Flow Valve Control (FVC) and Electronic Load Control (ELC) are the common methods that have been applied for MHPP frequency control. However, slow time response and relatively high total harmonic distortion (THD) problems are still exist in the system output when the load vary significantly. FVC is very slow in time response, but produce low THD. In the contrary, ELC very fast in response, but results relatively high THD. This study proposes control techniques for FVC and ELC in order to improve time response and to result a lower THD level. FCV is controlled by Fuzzy-Proportional Integral (Fuzzy-PI) controller to improve the time response, while ELC is improved by Adaptive Neuro Fuzzy Inference System-Proportional Integral Differentia (ANFIS-PID) controller to reduce the load variation effect on THD level. The ELC circuit employs 3 phase rectifier circuit. The ELC circuit is driving current through load bus to load ballast. These integrated controller is simulated by using Matlab Simulink. Results of simulation indicate that by deploying the proposed controller on the FVC and the ELC, respectively and by integrating them all together, the time response and the THD of the MHPP output are improved in the load changes.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Integrated Frequency Control of Microhydro Power Plant Based Flow Valve Control and Electronic Load Controller\",\"authors\":\"Zulfatman Has, Alwan Zanuar Rosyidi, I. Pakaya, N. Mardiyah, N. Nurhadi, M. Effendy\",\"doi\":\"10.1109/SPC.2018.8704153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Frequency instability is one of the main problems in generating Micro-hydro Power Plant (MHPP) with synchronous generator. Governor control using Flow Valve Control (FVC) and Electronic Load Control (ELC) are the common methods that have been applied for MHPP frequency control. However, slow time response and relatively high total harmonic distortion (THD) problems are still exist in the system output when the load vary significantly. FVC is very slow in time response, but produce low THD. In the contrary, ELC very fast in response, but results relatively high THD. This study proposes control techniques for FVC and ELC in order to improve time response and to result a lower THD level. FCV is controlled by Fuzzy-Proportional Integral (Fuzzy-PI) controller to improve the time response, while ELC is improved by Adaptive Neuro Fuzzy Inference System-Proportional Integral Differentia (ANFIS-PID) controller to reduce the load variation effect on THD level. The ELC circuit employs 3 phase rectifier circuit. The ELC circuit is driving current through load bus to load ballast. These integrated controller is simulated by using Matlab Simulink. Results of simulation indicate that by deploying the proposed controller on the FVC and the ELC, respectively and by integrating them all together, the time response and the THD of the MHPP output are improved in the load changes.\",\"PeriodicalId\":432464,\"journal\":{\"name\":\"2018 IEEE Conference on Systems, Process and Control (ICSPC)\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Conference on Systems, Process and Control (ICSPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPC.2018.8704153\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPC.2018.8704153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integrated Frequency Control of Microhydro Power Plant Based Flow Valve Control and Electronic Load Controller
Frequency instability is one of the main problems in generating Micro-hydro Power Plant (MHPP) with synchronous generator. Governor control using Flow Valve Control (FVC) and Electronic Load Control (ELC) are the common methods that have been applied for MHPP frequency control. However, slow time response and relatively high total harmonic distortion (THD) problems are still exist in the system output when the load vary significantly. FVC is very slow in time response, but produce low THD. In the contrary, ELC very fast in response, but results relatively high THD. This study proposes control techniques for FVC and ELC in order to improve time response and to result a lower THD level. FCV is controlled by Fuzzy-Proportional Integral (Fuzzy-PI) controller to improve the time response, while ELC is improved by Adaptive Neuro Fuzzy Inference System-Proportional Integral Differentia (ANFIS-PID) controller to reduce the load variation effect on THD level. The ELC circuit employs 3 phase rectifier circuit. The ELC circuit is driving current through load bus to load ballast. These integrated controller is simulated by using Matlab Simulink. Results of simulation indicate that by deploying the proposed controller on the FVC and the ELC, respectively and by integrating them all together, the time response and the THD of the MHPP output are improved in the load changes.