Pub Date : 2021-10-09DOI: 10.1109/REPE52765.2021.9617023
Dong Zhang, Chao Yang
The integrated energy system has the advantages of improving the overall operational efficiency and economy of the system, and can lower the energy consumption rate of each subsystem. It is the future development direction of the end-use energy mode and has great development potential. This paper sorted out the development status of integrated energy systems at home and abroad, the basic concepts and main types of integrated energy systems, calculated the economics of the combined heat and power (CHP) systems and distributed energy systems, and analyzed and summarized the three aspects of the impact of integrated energy systems on the development of power grids. Finally, some measures for the coordinated development of the integrated energy systems and power grids were given.
{"title":"Development of Integrated Energy System and Impact on Power Grid","authors":"Dong Zhang, Chao Yang","doi":"10.1109/REPE52765.2021.9617023","DOIUrl":"https://doi.org/10.1109/REPE52765.2021.9617023","url":null,"abstract":"The integrated energy system has the advantages of improving the overall operational efficiency and economy of the system, and can lower the energy consumption rate of each subsystem. It is the future development direction of the end-use energy mode and has great development potential. This paper sorted out the development status of integrated energy systems at home and abroad, the basic concepts and main types of integrated energy systems, calculated the economics of the combined heat and power (CHP) systems and distributed energy systems, and analyzed and summarized the three aspects of the impact of integrated energy systems on the development of power grids. Finally, some measures for the coordinated development of the integrated energy systems and power grids were given.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128925992","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}
In the context of the double carbon policy, clean energy is bound to see further development, but the uncertainty of wind and photovoltaic power generation poses many problems for the operation of the grid. Virtual power plant (VPP) technology is an important solution to this problem. As China's electricity market reform continues to progress, it is important to study how virtual power plants can make more profit in the market environment and how to make a reasonable profit distribution for their survival and development. In this paper, the physical and market behaviours of various types of power generation equipment are firstly modelled. Based on this, a bidding model for VPP participation in the day-ahead market is designed with the objective of maximization the overall profit of VPP, and finally the Shapley value method is applied to allocate the profit of VPP. The results of the algorithm show that the operation mechanism of the VPP can take advantage of the different generation methods and smooth out the fluctuations in the output of wind power and PV. In addition, the profitability of each power producer has increased to a certain extent after participating in the VPP, which is conducive to attracting more power producers to participate in the VPP and further improving the profitability of the VPP.
{"title":"Study on the Profit Distribution Under the Participation of Virtual Power Plants in Market Bidding","authors":"Shu-sheng Tian, Liming Ying, Gui-qi Zhu, Xinyi Xie","doi":"10.1109/REPE52765.2021.9617058","DOIUrl":"https://doi.org/10.1109/REPE52765.2021.9617058","url":null,"abstract":"In the context of the double carbon policy, clean energy is bound to see further development, but the uncertainty of wind and photovoltaic power generation poses many problems for the operation of the grid. Virtual power plant (VPP) technology is an important solution to this problem. As China's electricity market reform continues to progress, it is important to study how virtual power plants can make more profit in the market environment and how to make a reasonable profit distribution for their survival and development. In this paper, the physical and market behaviours of various types of power generation equipment are firstly modelled. Based on this, a bidding model for VPP participation in the day-ahead market is designed with the objective of maximization the overall profit of VPP, and finally the Shapley value method is applied to allocate the profit of VPP. The results of the algorithm show that the operation mechanism of the VPP can take advantage of the different generation methods and smooth out the fluctuations in the output of wind power and PV. In addition, the profitability of each power producer has increased to a certain extent after participating in the VPP, which is conducive to attracting more power producers to participate in the VPP and further improving the profitability of the VPP.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128499217","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}
In recent years, with the rapid development of power market, higher requirements are put forward for the coordination of long-term unit commitment scheduling and maintenance plan. In a meanwhile, trading planning and maintenance planning are two interrelated and coupled applications, and the joint optimization between them should be considered and studied. In this paper, a long-term unit commitment model simultaneously adding the constrains of unit maintenance and trading plan is established, with their flexibility taken into consideration. Then, in order to solve the problem of complex and large-scale calculation in long-term unit commitment scheduling, this paper proposes a peak-valley load based model. After that, based on a 6-bus system, the simulation experiment is carried out, and the effects of maintenance and trading plan on unit commitment scheduling and unit output is analyzed. The simulation results verify the effectiveness of the proposed model.
{"title":"Long-term Unit Commitment Considering the Flexibility of Maintenance and Trading Plan","authors":"Yuanjing Li, Jingxiao Jiang, Yueshuang Bao, Xinyuan Liu, Ying Wang, Kaifeng Zhang","doi":"10.1109/REPE52765.2021.9617006","DOIUrl":"https://doi.org/10.1109/REPE52765.2021.9617006","url":null,"abstract":"In recent years, with the rapid development of power market, higher requirements are put forward for the coordination of long-term unit commitment scheduling and maintenance plan. In a meanwhile, trading planning and maintenance planning are two interrelated and coupled applications, and the joint optimization between them should be considered and studied. In this paper, a long-term unit commitment model simultaneously adding the constrains of unit maintenance and trading plan is established, with their flexibility taken into consideration. Then, in order to solve the problem of complex and large-scale calculation in long-term unit commitment scheduling, this paper proposes a peak-valley load based model. After that, based on a 6-bus system, the simulation experiment is carried out, and the effects of maintenance and trading plan on unit commitment scheduling and unit output is analyzed. The simulation results verify the effectiveness of the proposed model.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129268613","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 : 2021-10-09DOI: 10.1109/REPE52765.2021.9617061
Marco Antonio Haikal-Leite, Carlos de Lamare Bastian-Pinto, André de Oliveira Dias, F. Pradelle, Sergio Luiz Pinto Castiñeiras-Filho, Luis Fernando Mendonça Frutuoso, Eloi Fernández y Femández
Photovoltaic energy generation has expanded its participation in Brazil and presents itself as a promising alternative as a way of meeting future demand. The standard approaches to investment decision taking are the so-called Net Present Value (NPV) of Cash Flows forecasted over a time horizon, and Discounted at a risk-adjusted rate (DCF). Although this approach considers both the expected return and the risk of the analyzed project, it overlooks several uncertainties involved that may constitute risk factors for the project. One of these is the variability of solar irradiation over the years as well as the penalty rules imposed by the regulatory agency. In this paper, monthly average daily measurements of the solar resource were taken at a given location over five years. The statistical distribution that best fit the variability of irradiance over this period is determined, and monthly averages and standard deviations of irradiation are calculated. A photovoltaic solar energy project is simulated as participating in an auction organized by the Brazilian National Agency of Electric Energy (ANEEL) with typical characteristics of auctions held since 2014 to the present date for this generation source, with energy destined to the Regulated Contracting Environment. Monte Carlo method is applied on the irradiation of the model, based on the determined statistical distribution, and the risk of the financial return falling below a specified value is calculated, using a Real Options approach to estimate the effect of energy output shortfall.
{"title":"Stochastic Modeling of Irradiation, Applied to Investment Decision in a Photovoltaic Project Subject to Regulatory Shortfall Penalty Rules","authors":"Marco Antonio Haikal-Leite, Carlos de Lamare Bastian-Pinto, André de Oliveira Dias, F. Pradelle, Sergio Luiz Pinto Castiñeiras-Filho, Luis Fernando Mendonça Frutuoso, Eloi Fernández y Femández","doi":"10.1109/REPE52765.2021.9617061","DOIUrl":"https://doi.org/10.1109/REPE52765.2021.9617061","url":null,"abstract":"Photovoltaic energy generation has expanded its participation in Brazil and presents itself as a promising alternative as a way of meeting future demand. The standard approaches to investment decision taking are the so-called Net Present Value (NPV) of Cash Flows forecasted over a time horizon, and Discounted at a risk-adjusted rate (DCF). Although this approach considers both the expected return and the risk of the analyzed project, it overlooks several uncertainties involved that may constitute risk factors for the project. One of these is the variability of solar irradiation over the years as well as the penalty rules imposed by the regulatory agency. In this paper, monthly average daily measurements of the solar resource were taken at a given location over five years. The statistical distribution that best fit the variability of irradiance over this period is determined, and monthly averages and standard deviations of irradiation are calculated. A photovoltaic solar energy project is simulated as participating in an auction organized by the Brazilian National Agency of Electric Energy (ANEEL) with typical characteristics of auctions held since 2014 to the present date for this generation source, with energy destined to the Regulated Contracting Environment. Monte Carlo method is applied on the irradiation of the model, based on the determined statistical distribution, and the risk of the financial return falling below a specified value is calculated, using a Real Options approach to estimate the effect of energy output shortfall.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114404677","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}
With the high penetration of wind energy, compared with traditional thermal power, it has the characteristics of clean, environmental protection and economy. However, wind energy has the characteristics of randomness, volatility and intermittence, which leads to serious wind abandonment. Due to the characteristics of wind energy, its utilization efficiency is low, resulting in a waste of resources. In order to solve this problem, this paper proposes the concept of energy hub (EH), which is a common modeling method in integrated energy system (IES). In this paper, three kinds of EH cases are constructed according to the coupling of different energy equipment. Through the coupling modeling of different types and quantities of energy equipment, the simulation calculation is carried out respectively to verify the impacts of different EH on system benefits and the effectiveness of the proposed model and method.
{"title":"Optimal Scheduling Considering Different Energy Hub Model of Integrated Energy System","authors":"Jian Liu, Pengkai Sun, Yongjin Yu, Shuai Dong, Kai-You Wang, Jian Yang","doi":"10.1109/REPE52765.2021.9617007","DOIUrl":"https://doi.org/10.1109/REPE52765.2021.9617007","url":null,"abstract":"With the high penetration of wind energy, compared with traditional thermal power, it has the characteristics of clean, environmental protection and economy. However, wind energy has the characteristics of randomness, volatility and intermittence, which leads to serious wind abandonment. Due to the characteristics of wind energy, its utilization efficiency is low, resulting in a waste of resources. In order to solve this problem, this paper proposes the concept of energy hub (EH), which is a common modeling method in integrated energy system (IES). In this paper, three kinds of EH cases are constructed according to the coupling of different energy equipment. Through the coupling modeling of different types and quantities of energy equipment, the simulation calculation is carried out respectively to verify the impacts of different EH on system benefits and the effectiveness of the proposed model and method.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125906430","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}
Distribution networks generally operate in radial way although they are designed in closed loop way. When a looped network occurs in order to transfer loads, there are many technical risks, which may have negative impact upon stability and safety of a distribution network. The capability of traditional voltage regulation is very limited, whereas various schemes based on power electronics technology are powerful, but complicated and uneconomical. A novel scheme of a looped network controller taking advantage of thyristors and arrestors, etc., is put forward together with its control. An equivalent simulation system, which is obtained by simplifying an actual distribution network, is established, as a result simulation and analysis are carried out. The results of the study show that the proposed scheme is simple, easy to implement and has negligible impact upon distribution relays. This new scheme can limit efficiently the closed loop surge current during the load transfer operation and deal with distribution network faults properly. Therefore, it can be recommended as a new scheme and method to improve the reliability of distribution network.
{"title":"Analysis and Simulation on Looped Network Controllers for Distribution Network","authors":"Chaobo Dai, Yongzheng Zhang, Yanjun Ma, Zhanfeng Deng, Liqiang Gu","doi":"10.1109/REPE52765.2021.9617103","DOIUrl":"https://doi.org/10.1109/REPE52765.2021.9617103","url":null,"abstract":"Distribution networks generally operate in radial way although they are designed in closed loop way. When a looped network occurs in order to transfer loads, there are many technical risks, which may have negative impact upon stability and safety of a distribution network. The capability of traditional voltage regulation is very limited, whereas various schemes based on power electronics technology are powerful, but complicated and uneconomical. A novel scheme of a looped network controller taking advantage of thyristors and arrestors, etc., is put forward together with its control. An equivalent simulation system, which is obtained by simplifying an actual distribution network, is established, as a result simulation and analysis are carried out. The results of the study show that the proposed scheme is simple, easy to implement and has negligible impact upon distribution relays. This new scheme can limit efficiently the closed loop surge current during the load transfer operation and deal with distribution network faults properly. Therefore, it can be recommended as a new scheme and method to improve the reliability of distribution network.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126863362","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 : 2021-10-09DOI: 10.1109/REPE52765.2021.9617102
Ghoname Abdullah, Hidekazu Nishimura
Recently, the PV system installation has reached a very high growth worldwide. Various research papers have explored PV systems' technical, economic, and environmental assessment in different countries. This paper presents an energetic, economic, and environmental analysis of 1 and 5 kW of PV systems of eight countries, including Japan, Australia, China, Germany, India, Italy, Spain, and Saudi Arabia, to help cover a wide range of influential geographic and economic factors that significantly influence the results. This paper aims to determine which country, out of a selection of eight countries, receives the most solar irradiation, generates more energy, shows the most PV system investment, and mitigates CO2 by using a PV system. Based on the analysis conducted, the best country that receives the most solar irradiation and generates more energy is KSA. On the other hand, India has the lowestLCOE among the given countries due to low operation and maintenance costs, while Japan and Germany have the highest LCOE. Spain has the lowest CO2 Mitigation among the given countries through implementing proposed PV systems. In contrast, KSA and Australia have the highest CO2 Mitigation. The study conducted in this work allows drawing essential conclusions that can assist researchers and governments in the studied countries to increase the investment of PV systems worldwide.
{"title":"Energetic, Economic and Environmental Analyses For Photovoltaic System in Different Countries","authors":"Ghoname Abdullah, Hidekazu Nishimura","doi":"10.1109/REPE52765.2021.9617102","DOIUrl":"https://doi.org/10.1109/REPE52765.2021.9617102","url":null,"abstract":"Recently, the PV system installation has reached a very high growth worldwide. Various research papers have explored PV systems' technical, economic, and environmental assessment in different countries. This paper presents an energetic, economic, and environmental analysis of 1 and 5 kW of PV systems of eight countries, including Japan, Australia, China, Germany, India, Italy, Spain, and Saudi Arabia, to help cover a wide range of influential geographic and economic factors that significantly influence the results. This paper aims to determine which country, out of a selection of eight countries, receives the most solar irradiation, generates more energy, shows the most PV system investment, and mitigates CO2 by using a PV system. Based on the analysis conducted, the best country that receives the most solar irradiation and generates more energy is KSA. On the other hand, India has the lowestLCOE among the given countries due to low operation and maintenance costs, while Japan and Germany have the highest LCOE. Spain has the lowest CO2 Mitigation among the given countries through implementing proposed PV systems. In contrast, KSA and Australia have the highest CO2 Mitigation. The study conducted in this work allows drawing essential conclusions that can assist researchers and governments in the studied countries to increase the investment of PV systems worldwide.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127270857","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 : 2021-10-09DOI: 10.1109/REPE52765.2021.9617116
Wang Shuai, Liu Jie-feng, Yuan Cheng-hao
Proportional power flow tracing is based on the distribution of network power flow and the principle of node power proportional allocation. This paper solves how to calculate the grid price through the proportional power flow tracing, for the AC power grid, that is, to calculate the grid node price in the receiving area. This method can calculate the use of UHV transmission network for each transmission receiving node, so as to improve the accuracy and scientificity of transmission allocation calculation and the accuracy of economic benefit analysis.
{"title":"Calculation Method of Transmission Allocation Based on Proportional Power Flow Tracing","authors":"Wang Shuai, Liu Jie-feng, Yuan Cheng-hao","doi":"10.1109/REPE52765.2021.9617116","DOIUrl":"https://doi.org/10.1109/REPE52765.2021.9617116","url":null,"abstract":"Proportional power flow tracing is based on the distribution of network power flow and the principle of node power proportional allocation. This paper solves how to calculate the grid price through the proportional power flow tracing, for the AC power grid, that is, to calculate the grid node price in the receiving area. This method can calculate the use of UHV transmission network for each transmission receiving node, so as to improve the accuracy and scientificity of transmission allocation calculation and the accuracy of economic benefit analysis.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121709978","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 : 2021-10-09DOI: 10.1109/REPE52765.2021.9617015
A. Rizvi, Dong Yang, T. A. Khan
Optical losses account for 40% of all the losses in a central receiver system. These optical losses occur due to factors like shading, blocking, atmospheric attenuation, spillage, cosine loss, and mirror reflectivity. These factors are collectively represented using a single factor known as optical efficiency. There exists a tradeoff among these factors. The unavoidable optical loss can be minimized by optimizing the positions of heliostats in a strategic manner. An advanced particle swarm algorithm is used to optimize the position of heliostats around a dense radial staggered field. An efficiency map of the heliostat field is generated. Using instantaneous optical efficiency as an objective function, a single objective optimization is performed using 30 particles and 2 dimensions (each dimension representing an optimization variable). The results highlight the areas in the heliostat field with the highest losses associated with different components of optical efficiency and their solution. The instantaneous efficiency increases by 1.5% after optimization.
{"title":"Optimization of Heliostat Fields Using Advanced Particle Swarm Optimization (APSO)","authors":"A. Rizvi, Dong Yang, T. A. Khan","doi":"10.1109/REPE52765.2021.9617015","DOIUrl":"https://doi.org/10.1109/REPE52765.2021.9617015","url":null,"abstract":"Optical losses account for 40% of all the losses in a central receiver system. These optical losses occur due to factors like shading, blocking, atmospheric attenuation, spillage, cosine loss, and mirror reflectivity. These factors are collectively represented using a single factor known as optical efficiency. There exists a tradeoff among these factors. The unavoidable optical loss can be minimized by optimizing the positions of heliostats in a strategic manner. An advanced particle swarm algorithm is used to optimize the position of heliostats around a dense radial staggered field. An efficiency map of the heliostat field is generated. Using instantaneous optical efficiency as an objective function, a single objective optimization is performed using 30 particles and 2 dimensions (each dimension representing an optimization variable). The results highlight the areas in the heliostat field with the highest losses associated with different components of optical efficiency and their solution. The instantaneous efficiency increases by 1.5% after optimization.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131467185","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 : 2021-10-09DOI: 10.1109/REPE52765.2021.9616975
Ni Zheng, Xikun Chen, Yilei Wang, Junnan Gu, Ruiying Li
Multilevel inverter can withstand higher voltages by using multiple power devices. As the voltages increases levels is increased, the space vector density makes the output voltage synthesis closer to sine and makes the multilevel inverter developing rapidly. However, the traditional SVPWM control algorithm becomes more complex, and the operation speed is not ideal. In order to improve the algorithm speed, this paper optimizes the traditional SVPWM algorithm. By calculating the voltage difference of three-phase phase voltage, the sector where the reference voltage is located and the action time of the basic voltage vector are determined. The application of traditional SVPWM algorithm in multilevel inverter is simplified to achieve high computational efficiency. Simulation results show the effectiveness and feasibility of the proposed algorithm.
{"title":"A Multilevel Inverter Optimization Based on New Two-level SVPWM Algorithm","authors":"Ni Zheng, Xikun Chen, Yilei Wang, Junnan Gu, Ruiying Li","doi":"10.1109/REPE52765.2021.9616975","DOIUrl":"https://doi.org/10.1109/REPE52765.2021.9616975","url":null,"abstract":"Multilevel inverter can withstand higher voltages by using multiple power devices. As the voltages increases levels is increased, the space vector density makes the output voltage synthesis closer to sine and makes the multilevel inverter developing rapidly. However, the traditional SVPWM control algorithm becomes more complex, and the operation speed is not ideal. In order to improve the algorithm speed, this paper optimizes the traditional SVPWM algorithm. By calculating the voltage difference of three-phase phase voltage, the sector where the reference voltage is located and the action time of the basic voltage vector are determined. The application of traditional SVPWM algorithm in multilevel inverter is simplified to achieve high computational efficiency. Simulation results show the effectiveness and feasibility of the proposed algorithm.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131746703","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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