{"title":"HYSTERETIC CONTROLLED SMART GRID SYSTEM WITH\u0000ENHANCED RESPONSE","authors":"P. Yamunaa, K. Elango, R. Karthik","doi":"10.26634/jps.9.3.16760","DOIUrl":"https://doi.org/10.26634/jps.9.3.16760","url":null,"abstract":"","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114425747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MAXIMUM POWER POINT TRACKING IN SOLAR PV SYSTEMS\u0000USING ARTIFICIAL NEURAL NETWORKS","authors":"Pandey Jyotsana","doi":"10.26634/JPS.6.4.16409","DOIUrl":"https://doi.org/10.26634/JPS.6.4.16409","url":null,"abstract":"","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126962506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SIMULATION AND ANALYSIS OF THE INTEGRATION OF SUPER\u0000CAPACITOR AND BATTERY ENERGY STORAGE\u0000IN PHOTOVOLTAIC SYSTEM","authors":"K. Amit, V. Abhishek","doi":"10.26634/jps.9.2.18348","DOIUrl":"https://doi.org/10.26634/jps.9.2.18348","url":null,"abstract":"","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"484 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127009699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The increasing electrification of daily life and the growing number of sensitive or critical loads have led to a rising demand for high-quality electricity and overall energy consumption. Customer demands for increased generating capacity and efficient energy production, distribution, and utilization are driven by the global increase in energy consumption and the depletion of fossil resources. The concept of the microgrid holds promise for addressing significant issues arising from the widespread use of distributed generation in distribution networks. To ensure successful microgrid operation, an appropriate control strategy is essential. MATLAB and other software can be used for simulating and evaluating various load models. This article provides an overview of the previous research on microgrids.
{"title":"Enabling rural electrification through a grid-interactive microgrid system with photovoltaic-battery integration","authors":"Dey Ruchita, Kaur Simardeep","doi":"10.26634/jps.11.1.19782","DOIUrl":"https://doi.org/10.26634/jps.11.1.19782","url":null,"abstract":"The increasing electrification of daily life and the growing number of sensitive or critical loads have led to a rising demand for high-quality electricity and overall energy consumption. Customer demands for increased generating capacity and efficient energy production, distribution, and utilization are driven by the global increase in energy consumption and the depletion of fossil resources. The concept of the microgrid holds promise for addressing significant issues arising from the widespread use of distributed generation in distribution networks. To ensure successful microgrid operation, an appropriate control strategy is essential. MATLAB and other software can be used for simulating and evaluating various load models. This article provides an overview of the previous research on microgrids.","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114226840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MODELLING OF WIND POWER PLANT USING ARTIFICIAL NEURAL\u0000NETWORK","authors":"Jain Raina, Sharma Reshmita, M. Abhishek","doi":"10.26634/JPS.8.1.17531","DOIUrl":"https://doi.org/10.26634/JPS.8.1.17531","url":null,"abstract":"","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132518198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PEAK POWER TRACKING TECHNIQUE FOR A SMALL-SCALE\u0000PHOTOVOLTAIC SYSTEM","authors":"Daoud Amine","doi":"10.26634/jps.6.4.16047","DOIUrl":"https://doi.org/10.26634/jps.6.4.16047","url":null,"abstract":"","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133700531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The most effective renewable energy in the future among energy. Using photovoltaic (PV) panels is the most effective approach to utilize solar energy for electrical power. The photovoltaic panel that uses solar energy has non-linear voltage-current and voltage-control properties. The control yield from the solar-powered PV board is highest at a certain voltage point. The maximum power point voltage is the voltage at which the PV board produces the most power. The construction of the solar-powered PV board and a description of its features have been presented. In order to acquire the highest control point voltage, the difference between the real Maximum Power Point Tracking (MPPT) voltage and the MPPT voltage deduced from the Artificial Neural Network (ANN) arrangement is displayed, and it is successfully accepted. The result appears to be an exact match for the accuracy of ANN. The PV board's highest control point can be successfully and accurately tracked using the ANN display that was obtained. From the various results obtained, it becomes obvious that the suggested computation proves to be considerably simpler in following the PV board's most extreme control point. The reaction time is drastically reduced when the proposed control approach is used since the PV voltage closely tracks the highest control point voltage. Additionally, the proposed strategy's precision is incredibly logical. In every irradiance and temperature scenario, the control framework performs well.
{"title":"Combined Neural Network and Fuzzy Control for Maximum Power Point Tracking In Solar PV System","authors":"Ram Keshaw, Rao B. Chiranjeev, Jain Raina","doi":"10.26634/jps.10.3.19159","DOIUrl":"https://doi.org/10.26634/jps.10.3.19159","url":null,"abstract":"The most effective renewable energy in the future among energy. Using photovoltaic (PV) panels is the most effective approach to utilize solar energy for electrical power. The photovoltaic panel that uses solar energy has non-linear voltage-current and voltage-control properties. The control yield from the solar-powered PV board is highest at a certain voltage point. The maximum power point voltage is the voltage at which the PV board produces the most power. The construction of the solar-powered PV board and a description of its features have been presented. In order to acquire the highest control point voltage, the difference between the real Maximum Power Point Tracking (MPPT) voltage and the MPPT voltage deduced from the Artificial Neural Network (ANN) arrangement is displayed, and it is successfully accepted. The result appears to be an exact match for the accuracy of ANN. The PV board's highest control point can be successfully and accurately tracked using the ANN display that was obtained. From the various results obtained, it becomes obvious that the suggested computation proves to be considerably simpler in following the PV board's most extreme control point. The reaction time is drastically reduced when the proposed control approach is used since the PV voltage closely tracks the highest control point voltage. Additionally, the proposed strategy's precision is incredibly logical. In every irradiance and temperature scenario, the control framework performs well.","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115384497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SIMULATION ANALYSIS OF PV BASED TWO STAGE INTERLEAVED\u0000BOOST CONVERTER FOR EV APPLICATION","authors":"S. Suresh, R. Zahira","doi":"10.26634/jps.9.1.18107","DOIUrl":"https://doi.org/10.26634/jps.9.1.18107","url":null,"abstract":"","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115442047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. A. Shekhappa, S. Pradeep, S. Manjula, P. Sanjeeth
{"title":"PERFORMANCE ANALYSIS OF UNLOADED LONG TRANSMISSION\u0000LINE USING TRANSMISSION LINE HARDWARE SIMULATOR","authors":"G. A. Shekhappa, S. Pradeep, S. Manjula, P. Sanjeeth","doi":"10.26634/jps.9.1.18051","DOIUrl":"https://doi.org/10.26634/jps.9.1.18051","url":null,"abstract":"","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116662900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research aims to improve the stability of power systems using a power stabilizer. Various methods were used to finetune the conventional Power System Stabilizer (PSS) with a lead-lag compensator by minimizing the integral absolute error of speed deviations of generator rotors. To evaluate the performance of the various methods, different timedomain simulation test cases were conducted and the results were compared with the performance of the Oppositional Whale Optimization Algorithm-based Power System Stabilizer (OWOA-based PSS), Whale Optimization Algorithm-based Power System Stabilizer (WOA-based PSS), and the conventional PSS. The obtained results show that the OWOA-based PSS is more efficient in power oscillation damping than the other methods, including the WOA-based PSS. Overall, the OWOA-based PSS can be considered as a potential solution to enhance the stability of power systems by mitigating power oscillations in generator rotors. However, further studies and experiments may be required to validate all methods and compare them to ensure their effectiveness and efficiency.
{"title":"A review of opposition-based whale optimization algorithm and whale optimization algorithm tuned power system stabilizer for multimachine stability","authors":"Kumhar Sushil, Rao B. Chiranjeev","doi":"10.26634/jps.11.1.19388","DOIUrl":"https://doi.org/10.26634/jps.11.1.19388","url":null,"abstract":"This research aims to improve the stability of power systems using a power stabilizer. Various methods were used to finetune the conventional Power System Stabilizer (PSS) with a lead-lag compensator by minimizing the integral absolute error of speed deviations of generator rotors. To evaluate the performance of the various methods, different timedomain simulation test cases were conducted and the results were compared with the performance of the Oppositional Whale Optimization Algorithm-based Power System Stabilizer (OWOA-based PSS), Whale Optimization Algorithm-based Power System Stabilizer (WOA-based PSS), and the conventional PSS. The obtained results show that the OWOA-based PSS is more efficient in power oscillation damping than the other methods, including the WOA-based PSS. Overall, the OWOA-based PSS can be considered as a potential solution to enhance the stability of power systems by mitigating power oscillations in generator rotors. However, further studies and experiments may be required to validate all methods and compare them to ensure their effectiveness and efficiency.","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114731610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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