Pub Date : 2022-10-14DOI: 10.1109/ICSGCE55997.2022.9953693
H. Suryoatmojo, Sjamsjul Anam, Zainul Rahmawan, D. A. Asfani, Mohamad Angga Faurahmansyah, P. Prabowo
Batteries are an important component in the implementation of renewable energy. One type of battery that is often used in the implementation of renewable energy is lead-acid batteries. Accurate estimation of the SOC (state of charge) value is one of the important parameters in the design of a BMS (Battery Management System). Accurate determination of the estimation of the SOC value is necessary to avoid the battery operating in an over charge and over discharge state. One method of estimating SOC that is quite easy and often used is Coulomb Counting. The determination of SOC estimation by this method is carried out by adding up the incoming charge or the charge coming out of the battery within a certain period of time. Charge summation can be done by summing the current in the battery, both at the time of charging and discharge. In this research, SOC monitoring tool was designed using the coulomb counting method to monitor the SOC value of the battery both at the time of charging and discharge. In its implementation, this method is very dependent on the accurate initial SOC value and the accuracy of the current sensor used. The type of current sensor used in this SOC monitoring tool is ACS712 which has good accuracy. Based on the results of the tests carried out, the amount of charge on the battery is directly proportional to the SOC on the battery itself.
{"title":"State of Charge (SOC) Estimation on Lead-Acid Batteries Using the Coulomb Counting Method","authors":"H. Suryoatmojo, Sjamsjul Anam, Zainul Rahmawan, D. A. Asfani, Mohamad Angga Faurahmansyah, P. Prabowo","doi":"10.1109/ICSGCE55997.2022.9953693","DOIUrl":"https://doi.org/10.1109/ICSGCE55997.2022.9953693","url":null,"abstract":"Batteries are an important component in the implementation of renewable energy. One type of battery that is often used in the implementation of renewable energy is lead-acid batteries. Accurate estimation of the SOC (state of charge) value is one of the important parameters in the design of a BMS (Battery Management System). Accurate determination of the estimation of the SOC value is necessary to avoid the battery operating in an over charge and over discharge state. One method of estimating SOC that is quite easy and often used is Coulomb Counting. The determination of SOC estimation by this method is carried out by adding up the incoming charge or the charge coming out of the battery within a certain period of time. Charge summation can be done by summing the current in the battery, both at the time of charging and discharge. In this research, SOC monitoring tool was designed using the coulomb counting method to monitor the SOC value of the battery both at the time of charging and discharge. In its implementation, this method is very dependent on the accurate initial SOC value and the accuracy of the current sensor used. The type of current sensor used in this SOC monitoring tool is ACS712 which has good accuracy. Based on the results of the tests carried out, the amount of charge on the battery is directly proportional to the SOC on the battery itself.","PeriodicalId":326314,"journal":{"name":"2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"10878 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114693906","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}
Pub Date : 2022-10-14DOI: 10.1109/ICSGCE55997.2022.9953596
Ameera Arif, Muhammad Hassaan, Mujahid Abdullah, Ahmad Nadeem, N. Arshad
The share of energy consumption in the transportation sector is projected to increase at an annual average rate of 1.4% up to 2040. This is primarily due to a transition towards electric vehicles (EVs) from internal combustion engine- based modes of transportation. Batteries are the most crucial component in EVs, constituting a significant share of the price of the vehicle. With usage, batteries degrade, thereby, limiting their ability to store energy which adversely impacts the driving range offered by EVs. Therefore, the need is to study the deterioration of batteries in electric means of transportation. We have created data-driven models to monitor battery health, predict the deterioration in batteries and give insights to the EV owners to make better decisions. The dataset used in this study is published by Sandia National Labs (SNL). It is a result of experiments performed on NMC cells. We present a comparison of three models - multiple linear regression, support vector regression, and artificial neural network for battery health monitoring with mean average percentage error (MAPE) of 1.99, 0.74, and 0.72 respectively.
{"title":"Estimating Battery State of Health using Machine Learning","authors":"Ameera Arif, Muhammad Hassaan, Mujahid Abdullah, Ahmad Nadeem, N. Arshad","doi":"10.1109/ICSGCE55997.2022.9953596","DOIUrl":"https://doi.org/10.1109/ICSGCE55997.2022.9953596","url":null,"abstract":"The share of energy consumption in the transportation sector is projected to increase at an annual average rate of 1.4% up to 2040. This is primarily due to a transition towards electric vehicles (EVs) from internal combustion engine- based modes of transportation. Batteries are the most crucial component in EVs, constituting a significant share of the price of the vehicle. With usage, batteries degrade, thereby, limiting their ability to store energy which adversely impacts the driving range offered by EVs. Therefore, the need is to study the deterioration of batteries in electric means of transportation. We have created data-driven models to monitor battery health, predict the deterioration in batteries and give insights to the EV owners to make better decisions. The dataset used in this study is published by Sandia National Labs (SNL). It is a result of experiments performed on NMC cells. We present a comparison of three models - multiple linear regression, support vector regression, and artificial neural network for battery health monitoring with mean average percentage error (MAPE) of 1.99, 0.74, and 0.72 respectively.","PeriodicalId":326314,"journal":{"name":"2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117307736","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}
Pub Date : 2022-10-14DOI: 10.1109/ICSGCE55997.2022.9953703
Zhanpeng Xu
Aiming at the problems of traditional wind power development and considering the actual situation of offshore wind power, this paper proposes a digital offshore wind farm concept with basic characteristics of intelligent control, integration of monitoring system, information digitization, networked communication, and standardization of information sharing. This paper presents a complete digital monitoring system scheme for offshore wind farm under a unified information platform to achieve panoramic monitoring and information sharing. A monitoring system model including a two-level architecture of onshore and offshore is adopted to adapt to the special geographical environment of offshore wind farm. This paper describes the function of onshore centralized control center, the offshore step-up substation and wind turbine monitoring system and also the communication between them, then points out the future development direction of the digital offshore wind farm.
{"title":"Research of Monitoring System in Offshore Wind Farm","authors":"Zhanpeng Xu","doi":"10.1109/ICSGCE55997.2022.9953703","DOIUrl":"https://doi.org/10.1109/ICSGCE55997.2022.9953703","url":null,"abstract":"Aiming at the problems of traditional wind power development and considering the actual situation of offshore wind power, this paper proposes a digital offshore wind farm concept with basic characteristics of intelligent control, integration of monitoring system, information digitization, networked communication, and standardization of information sharing. This paper presents a complete digital monitoring system scheme for offshore wind farm under a unified information platform to achieve panoramic monitoring and information sharing. A monitoring system model including a two-level architecture of onshore and offshore is adopted to adapt to the special geographical environment of offshore wind farm. This paper describes the function of onshore centralized control center, the offshore step-up substation and wind turbine monitoring system and also the communication between them, then points out the future development direction of the digital offshore wind farm.","PeriodicalId":326314,"journal":{"name":"2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128692476","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}
Pub Date : 2022-10-14DOI: 10.1109/ICSGCE55997.2022.9953645
H. Suryoatmojo, Alfina Rahma Aulia, D. Riawan, Rifki Daris Dzulfikar, Prabowo, Suwito
A Diesel Engine Generator (DEG) is the most widely used choice for primary or emergency energy sources on islands, in remote areas, and worldwide as a reliable source. Conventionally, diesel generators operate at a constant speed and work at a particular minimum load. Constant speed operation is intended to keep the system voltage frequency stable. However, this can reduce generator efficiency when load demand is low. Operating a variable speed to the diesel generator can be used to reduce the fuel consumption (inefficiency) of the generator. The choice of PMSG as a generator in the DEG system is made because PMSG has several advantages. In the DEG control method, the most popular is PID control, but it isn’t easy to achieve better performance. Based on the results from the related research, fuzzy logic-based control is an effective method. This study presents the optimal control modeling and simulation of DEG on variable speed operation using Permanent Magnet Synchronous Generator (PMSG) with Fuzzy-based control to achieve better system performance based on load changes. The result showed that operating the variable speed could increase the efficiency of fuel consumption by up to 21.41%. In addition, fuzzy control can achieve a faster settling time and minor overshoot than the PI control.
{"title":"Optimal Control of Diesel Engine Generator Using Variable Speed Permanent Magnet Synchronous Generator Based on Fuzzy Controller","authors":"H. Suryoatmojo, Alfina Rahma Aulia, D. Riawan, Rifki Daris Dzulfikar, Prabowo, Suwito","doi":"10.1109/ICSGCE55997.2022.9953645","DOIUrl":"https://doi.org/10.1109/ICSGCE55997.2022.9953645","url":null,"abstract":"A Diesel Engine Generator (DEG) is the most widely used choice for primary or emergency energy sources on islands, in remote areas, and worldwide as a reliable source. Conventionally, diesel generators operate at a constant speed and work at a particular minimum load. Constant speed operation is intended to keep the system voltage frequency stable. However, this can reduce generator efficiency when load demand is low. Operating a variable speed to the diesel generator can be used to reduce the fuel consumption (inefficiency) of the generator. The choice of PMSG as a generator in the DEG system is made because PMSG has several advantages. In the DEG control method, the most popular is PID control, but it isn’t easy to achieve better performance. Based on the results from the related research, fuzzy logic-based control is an effective method. This study presents the optimal control modeling and simulation of DEG on variable speed operation using Permanent Magnet Synchronous Generator (PMSG) with Fuzzy-based control to achieve better system performance based on load changes. The result showed that operating the variable speed could increase the efficiency of fuel consumption by up to 21.41%. In addition, fuzzy control can achieve a faster settling time and minor overshoot than the PI control.","PeriodicalId":326314,"journal":{"name":"2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114772179","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}
Pub Date : 2022-10-14DOI: 10.1109/ICSGCE55997.2022.9953656
N. Meng, Feng Li, Yuxiang Chen
The concentric staged combustor has become a research hotspot in the field of aero-engine with its special way of combustion organizing in high temperature rise situation, and the swirler is one of the important components that affect the performance of the combustor. In this study, the numerical simulation method is used to calculate the fuel concentration distribution by changing the pilot swirler stage angle in the concentric staged combustor. For the distribution of fuel concentration, the results revealed that the turbulent kinetic energy of the flow field and the atomization and evaporation process of the fuel are affected by the structural change of the pilot swirler stage. The vaporization of the liquid-phase fuel and the gas-phase fuel concentration in the central recirculation zone of the combustion chamber increase with the decrease of the number of swirls, which is beneficial to the combustion of the combustion chamber when the high temperature rises. The results provide valuable insights into the fuel concentration flow characteristics in the concentric staged combustion chamber.
{"title":"Investigation on the Fuel Concentration in the Concentric Staged Combustor","authors":"N. Meng, Feng Li, Yuxiang Chen","doi":"10.1109/ICSGCE55997.2022.9953656","DOIUrl":"https://doi.org/10.1109/ICSGCE55997.2022.9953656","url":null,"abstract":"The concentric staged combustor has become a research hotspot in the field of aero-engine with its special way of combustion organizing in high temperature rise situation, and the swirler is one of the important components that affect the performance of the combustor. In this study, the numerical simulation method is used to calculate the fuel concentration distribution by changing the pilot swirler stage angle in the concentric staged combustor. For the distribution of fuel concentration, the results revealed that the turbulent kinetic energy of the flow field and the atomization and evaporation process of the fuel are affected by the structural change of the pilot swirler stage. The vaporization of the liquid-phase fuel and the gas-phase fuel concentration in the central recirculation zone of the combustion chamber increase with the decrease of the number of swirls, which is beneficial to the combustion of the combustion chamber when the high temperature rises. The results provide valuable insights into the fuel concentration flow characteristics in the concentric staged combustion chamber.","PeriodicalId":326314,"journal":{"name":"2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122002632","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}
Predictive control has high dynamic response characteristics and can effectively improve the performance of inverters. Proportional-Proportional-Delay (PPD) is a new type of predictive controller. Compared with the existing predictive controllers, it has the advantages of less computation and higher bandwidth, and it can theoretically realize deadbeat control. However, in the actual digital system, the excitation voltage output by the PPD controller is limited by the limiter module in some working conditions, which reduces the response speed of system. This paper first analyzes the mechanism that the limiter module affects the dynamic characteristics of PPD controller, and deduces the most seriously affected working conditions. Then, based on the area equivalent principle of excitation voltage, a strategy for improving the dynamic characteristics of PPD controller in the actual system is proposed. The core idea of this strategy is to allocate the limited excitation voltage to the modulated wave of the subsequent switching cycle equivalently. And before the grid current is equal to the reference current, the modulated wave is controlled to run at the limit maximum capacity of the limiter module. Finally, an experimental prototype was built to verify the proposed strategy.
{"title":"Improve Dynamic Response of A New Type of Predictive Controller Based on Erea Equivalent","authors":"Mingming Li, Linwei Zhou, Huafeng Xiao, Ming-Ming Cheng","doi":"10.1109/ICSGCE55997.2022.9953731","DOIUrl":"https://doi.org/10.1109/ICSGCE55997.2022.9953731","url":null,"abstract":"Predictive control has high dynamic response characteristics and can effectively improve the performance of inverters. Proportional-Proportional-Delay (PPD) is a new type of predictive controller. Compared with the existing predictive controllers, it has the advantages of less computation and higher bandwidth, and it can theoretically realize deadbeat control. However, in the actual digital system, the excitation voltage output by the PPD controller is limited by the limiter module in some working conditions, which reduces the response speed of system. This paper first analyzes the mechanism that the limiter module affects the dynamic characteristics of PPD controller, and deduces the most seriously affected working conditions. Then, based on the area equivalent principle of excitation voltage, a strategy for improving the dynamic characteristics of PPD controller in the actual system is proposed. The core idea of this strategy is to allocate the limited excitation voltage to the modulated wave of the subsequent switching cycle equivalently. And before the grid current is equal to the reference current, the modulated wave is controlled to run at the limit maximum capacity of the limiter module. Finally, an experimental prototype was built to verify the proposed strategy.","PeriodicalId":326314,"journal":{"name":"2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124172976","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}
Pub Date : 2022-10-14DOI: 10.1109/icsgce55997.2022.9953650
{"title":"ICSGCE 2022 Cover Page","authors":"","doi":"10.1109/icsgce55997.2022.9953650","DOIUrl":"https://doi.org/10.1109/icsgce55997.2022.9953650","url":null,"abstract":"","PeriodicalId":326314,"journal":{"name":"2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116018441","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}
Pub Date : 2022-10-14DOI: 10.1109/ICSGCE55997.2022.9953593
H. Suryoatmojo, Tito Bambang Priambodo, Soedibyo, Akhmad Farid Rosyidi, Prabowo, D. A. Asfani
Both photovoltaic (PV) and wind energy is renewable energy that has intermittent power generation and implication for poor power stability. The multi-input DC-DC converter is one of the proven solutions that can be applied to multi-generation systems. In this research, simulations will be carried out to evaluate the performance of multi-input DC-DC converters with perturb and observe MPPT algorithm in off-grid hybrid PV-Wind with battery and supercapacitor energy storage based on solar irradiance intermittencies conditions. From the results, it was found that a multi-input DC-DC converter can rapidly lower ripple voltage on the load side from 12% to 1 - 2% in consequence of intermittent irradiancy even without the implementation of the algorithm on wind turbine output. Also, overshoot and undershoot of the system can be absorbed by the supercapacitor and stored effectively by the battery so that power losses can be reduced. Therefore, the multi-input converter with the proposed Perturb and Observe algorithm can be used as one of the solution concepts for hybrid renewable energy electrical systems.
{"title":"Power Management in PV-Wind Hybrid with Storage System Based on Multi-input DC-DC Converter","authors":"H. Suryoatmojo, Tito Bambang Priambodo, Soedibyo, Akhmad Farid Rosyidi, Prabowo, D. A. Asfani","doi":"10.1109/ICSGCE55997.2022.9953593","DOIUrl":"https://doi.org/10.1109/ICSGCE55997.2022.9953593","url":null,"abstract":"Both photovoltaic (PV) and wind energy is renewable energy that has intermittent power generation and implication for poor power stability. The multi-input DC-DC converter is one of the proven solutions that can be applied to multi-generation systems. In this research, simulations will be carried out to evaluate the performance of multi-input DC-DC converters with perturb and observe MPPT algorithm in off-grid hybrid PV-Wind with battery and supercapacitor energy storage based on solar irradiance intermittencies conditions. From the results, it was found that a multi-input DC-DC converter can rapidly lower ripple voltage on the load side from 12% to 1 - 2% in consequence of intermittent irradiancy even without the implementation of the algorithm on wind turbine output. Also, overshoot and undershoot of the system can be absorbed by the supercapacitor and stored effectively by the battery so that power losses can be reduced. Therefore, the multi-input converter with the proposed Perturb and Observe algorithm can be used as one of the solution concepts for hybrid renewable energy electrical systems.","PeriodicalId":326314,"journal":{"name":"2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116886813","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}
Pub Date : 2022-10-14DOI: 10.1109/ICSGCE55997.2022.9953699
John Vincent Adan, Joshua Roberto Gruta, Jesus M. Martinez
Lithium-ion batteries overheat during their actual operation, creating difficulties for their implementation in EVs and HEVs. In this study, a thermoelectric cooler paired with a Stirling engine (TEC+SE) was designed and used as a cooling mechanism for the battery cooling system. Then, the researchers compared the maximum temperature of the battery module at various discharge rates and the power consumption when TEC+SE was used to that of the standard thermoelectric cooler paired with force convection (TEC+FC). The researchers found that TEC+FC still provides better cooling since the battery module had a lower maximum temperature for every discharge rate than TEC+SE. Despite this, power consumption measurement reveals that TEC+SE consumes significantly less power than TEC+FC.
{"title":"Investigation of the Effectiveness of Thermoelectric Cooler with Stirling Engine Heat Pump for the Cooling of Lithium–Ion Battery Module","authors":"John Vincent Adan, Joshua Roberto Gruta, Jesus M. Martinez","doi":"10.1109/ICSGCE55997.2022.9953699","DOIUrl":"https://doi.org/10.1109/ICSGCE55997.2022.9953699","url":null,"abstract":"Lithium-ion batteries overheat during their actual operation, creating difficulties for their implementation in EVs and HEVs. In this study, a thermoelectric cooler paired with a Stirling engine (TEC+SE) was designed and used as a cooling mechanism for the battery cooling system. Then, the researchers compared the maximum temperature of the battery module at various discharge rates and the power consumption when TEC+SE was used to that of the standard thermoelectric cooler paired with force convection (TEC+FC). The researchers found that TEC+FC still provides better cooling since the battery module had a lower maximum temperature for every discharge rate than TEC+SE. Despite this, power consumption measurement reveals that TEC+SE consumes significantly less power than TEC+FC.","PeriodicalId":326314,"journal":{"name":"2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122417666","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}
Pub Date : 2022-10-14DOI: 10.1109/ICSGCE55997.2022.9953680
Jian Wu, Zhihang Luo, Yongshuai Cui, Dianguo Xu
With the large number of wind, photovoltaic and other new energy distributed generation connected to the grid, the weak impedance of the grid is more prominent. The full feed-forward control has a good suppression effect on the power grid background harmonic and has been widely used, but the traditional full feedforward control cannot adapt to the change of grid impedance. In this paper, a full feedforward control strategy with pre-filter is proposed. By setting a reasonable depth factor and passband width, the system can perform full feedforward only at the selected frequency and attenuate at other frequencies, so a good characteristic of grid voltage harmonic rejection is also maintained. The simulation in MATLAB/Simulink shows that the output still maintains high power factor and good sinusoidal characteristics under rich grid voltage harmonics and a certain grid inductive reactance, which verifies that the improved full feedforward strategy has good weak grid adaptability and robustness.
{"title":"Full Feedforward Control Strategy with Pre-Filter of LCL Grid-Connected Inverter in Weak Grid","authors":"Jian Wu, Zhihang Luo, Yongshuai Cui, Dianguo Xu","doi":"10.1109/ICSGCE55997.2022.9953680","DOIUrl":"https://doi.org/10.1109/ICSGCE55997.2022.9953680","url":null,"abstract":"With the large number of wind, photovoltaic and other new energy distributed generation connected to the grid, the weak impedance of the grid is more prominent. The full feed-forward control has a good suppression effect on the power grid background harmonic and has been widely used, but the traditional full feedforward control cannot adapt to the change of grid impedance. In this paper, a full feedforward control strategy with pre-filter is proposed. By setting a reasonable depth factor and passband width, the system can perform full feedforward only at the selected frequency and attenuate at other frequencies, so a good characteristic of grid voltage harmonic rejection is also maintained. The simulation in MATLAB/Simulink shows that the output still maintains high power factor and good sinusoidal characteristics under rich grid voltage harmonics and a certain grid inductive reactance, which verifies that the improved full feedforward strategy has good weak grid adaptability and robustness.","PeriodicalId":326314,"journal":{"name":"2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114416149","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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