Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384964
Mohannad Alkhraijah, Maad Alowaifeer, S. Grijalva, D. Molzahn
Distributed algorithms provide attractive features for solving Optimal Power Flow (OPF) problems in interconnected power systems compared to traditional centralized algorithms. Distributed algorithms help to maintain the control autonomy and data privacy of subsystems, which is particularly relevant in competitive markets and practical control system implementations. This paper analyzes a distributed optimization algorithm known as the “Auxiliary Principle Problem” to solve multiperiod distributed DCOPF problems with distributed energy resources including energy storage systems. The proposed approach enables multiple interconnected systems with their own sub-objectives to share their resources and to participate in an electricity market without implicitly sharing information about their local generators or internal network parameters. The paper also shows how the proposed approach can enable future microgrids to coordinate their operation, reduce the total operational cost, and avoid internal constraint violations caused by unscheduled flows (USF) while maintaining the subsystems' autonomy. We use an 11-bus test system consisting of two interconnected subsystems to evaluate the proposed approach and analyze the impact of USF.
{"title":"Distributed Multi-Period DCOPF via an Auxiliary Principle Problem Algorithm","authors":"Mohannad Alkhraijah, Maad Alowaifeer, S. Grijalva, D. Molzahn","doi":"10.1109/TPEC51183.2021.9384964","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384964","url":null,"abstract":"Distributed algorithms provide attractive features for solving Optimal Power Flow (OPF) problems in interconnected power systems compared to traditional centralized algorithms. Distributed algorithms help to maintain the control autonomy and data privacy of subsystems, which is particularly relevant in competitive markets and practical control system implementations. This paper analyzes a distributed optimization algorithm known as the “Auxiliary Principle Problem” to solve multiperiod distributed DCOPF problems with distributed energy resources including energy storage systems. The proposed approach enables multiple interconnected systems with their own sub-objectives to share their resources and to participate in an electricity market without implicitly sharing information about their local generators or internal network parameters. The paper also shows how the proposed approach can enable future microgrids to coordinate their operation, reduce the total operational cost, and avoid internal constraint violations caused by unscheduled flows (USF) while maintaining the subsystems' autonomy. We use an 11-bus test system consisting of two interconnected subsystems to evaluate the proposed approach and analyze the impact of USF.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131146889","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384941
M. E. Bento, R. Ramos
The load margin is an important index used in power system operation centers to assess how far the system is from an instability mechanism. Usually, this load margin is calculated considering the Voltage Stability requirements through static models. However, as the load level increases in one direction, low-dampened low-frequency oscillation modes can arise and they compromise the angular stability of the system. Thus, it is important to consider the dynamic model of the system and determine the load margin by meeting the requirements of Voltage and Small-Signal Stability. This article proposes a method based on Particle Swarm Optimization to determine the load margin of power systems meeting the requirements of the Voltage Stability (voltage collapse) and Small-Signal Stability (eigenvalues with low damping). Case studies on the IEEE 39-bus system are presented and discussed.
{"title":"Computing the Load Margin of Power Systems Using Particle Swarm Optimization","authors":"M. E. Bento, R. Ramos","doi":"10.1109/TPEC51183.2021.9384941","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384941","url":null,"abstract":"The load margin is an important index used in power system operation centers to assess how far the system is from an instability mechanism. Usually, this load margin is calculated considering the Voltage Stability requirements through static models. However, as the load level increases in one direction, low-dampened low-frequency oscillation modes can arise and they compromise the angular stability of the system. Thus, it is important to consider the dynamic model of the system and determine the load margin by meeting the requirements of Voltage and Small-Signal Stability. This article proposes a method based on Particle Swarm Optimization to determine the load margin of power systems meeting the requirements of the Voltage Stability (voltage collapse) and Small-Signal Stability (eigenvalues with low damping). Case studies on the IEEE 39-bus system are presented and discussed.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"227 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127687940","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384949
C. Lyu, S. Basumallik, S. Eftekharnejad, Chongfang Xu
An emerging new challenge introduced to solar generation forecasting is the accumulation and effective processing of raw weather data. This paper aims to address this challenge by presenting a hybrid approach to forecasting the solar irradiance, incorporating both clustering and feature extraction techniques. The developed method aims to significantly reduce the amount of data required for forecasting, and at the same time increase the accuracy of the forecast. A clustering and data selection strategy is developed that yields a reduced dataset for prediction. The performance of the forecasting approach is evaluated with real solar irradiance data collected throughout the year. Case studies demonstrate that solar irradiance can be accurately forecasted using only 20% of the full-scale training data, while also improving the forecast error compared to using the entire dataset.
{"title":"A Data-Driven Solar Irradiance Forecasting Model with Minimum Data","authors":"C. Lyu, S. Basumallik, S. Eftekharnejad, Chongfang Xu","doi":"10.1109/TPEC51183.2021.9384949","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384949","url":null,"abstract":"An emerging new challenge introduced to solar generation forecasting is the accumulation and effective processing of raw weather data. This paper aims to address this challenge by presenting a hybrid approach to forecasting the solar irradiance, incorporating both clustering and feature extraction techniques. The developed method aims to significantly reduce the amount of data required for forecasting, and at the same time increase the accuracy of the forecast. A clustering and data selection strategy is developed that yields a reduced dataset for prediction. The performance of the forecasting approach is evaluated with real solar irradiance data collected throughout the year. Case studies demonstrate that solar irradiance can be accurately forecasted using only 20% of the full-scale training data, while also improving the forecast error compared to using the entire dataset.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131670947","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384948
Anam Iqbal, Ahmad Nadeem, Malik Muhammad Arslan, M. Javed, N. Arshad
Pakistan experienced a grave power shortfall between 2006 and 2017. The government responded to the situation through fast track development of power plants. However, the energy planners were unable to accurately forecast the electricity demand, resulting in a situation where more generation is available than needed. The power plants are backed by take-or-pay contracts. Thus, even if the power plants are not operating, a substantial capacity payment is still paid. To utilize this surplus available capacity year around electricity loads are needed. On the other hand, Northeastern Pakistan has one of the worst air quality in the world. Over 45% of the emissions are attributed to the transport sector. Therefore, electric vehicles (EVs) are an ideal load that utilizes the excess generation capacity and at the same time, improves air quality in the region. In this paper, we analyse the impact of various penetration levels of EVs on the utilization of excess generation capacity. This analysis will help us to determine EV penetration goals such that the capacity is optimally utilized. The impact of EVs is analysed using three optimistic scenarios of 30%, 50% and 70% new vehicle sales for two, three and four wheelers starting from 2020. This showed that by 2024, EVs will add 1250 MW at 70% new vehicle sales and only with peak demand, it is expected to reach available generation capacity.
{"title":"Does Pakistan have enough electricity generation to support massive penetration of electric vehicles?","authors":"Anam Iqbal, Ahmad Nadeem, Malik Muhammad Arslan, M. Javed, N. Arshad","doi":"10.1109/TPEC51183.2021.9384948","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384948","url":null,"abstract":"Pakistan experienced a grave power shortfall between 2006 and 2017. The government responded to the situation through fast track development of power plants. However, the energy planners were unable to accurately forecast the electricity demand, resulting in a situation where more generation is available than needed. The power plants are backed by take-or-pay contracts. Thus, even if the power plants are not operating, a substantial capacity payment is still paid. To utilize this surplus available capacity year around electricity loads are needed. On the other hand, Northeastern Pakistan has one of the worst air quality in the world. Over 45% of the emissions are attributed to the transport sector. Therefore, electric vehicles (EVs) are an ideal load that utilizes the excess generation capacity and at the same time, improves air quality in the region. In this paper, we analyse the impact of various penetration levels of EVs on the utilization of excess generation capacity. This analysis will help us to determine EV penetration goals such that the capacity is optimally utilized. The impact of EVs is analysed using three optimistic scenarios of 30%, 50% and 70% new vehicle sales for two, three and four wheelers starting from 2020. This showed that by 2024, EVs will add 1250 MW at 70% new vehicle sales and only with peak demand, it is expected to reach available generation capacity.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115521493","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384950
Ahmed M. Zobaa, S. H. A. Abdel Aleem, H. Youssef
The increasing use of nonlinear loads in power systems generates harmonics, which adversely affects these systems' power quality performance. In this regard, double-tuned filters (DTFs) have received increasing attention in practice to mitigate the effects of power system harmonics. Different techniques have been presented in the literature to obtain the optimal design of DTF parameters using various optimization algorithms. In this work, three methods for designing DTFs- multi-arm method (MAM), direct design method (DDM), and analogy method (AM) between double-tuned and multi-arm single-tuned filters, are investigated and discussed. Further, an optimal design of DTF based on the three design methodologies is presented. A new metaheuristic optimization algorithm called the slime mould optimization algorithm (SMA) is employed to obtain the global filter parameters to minimize the active power losses of a distribution system with both source and load nonlinearities while enhancing the overall power quality performance of the system. The results obtained using the SMA are compared with the results obtained using other algorithms: salp swarm algorithm (SSA) and sine cosine algorithm (SCA) to show the proposed optimization algorithm's superiority and effectiveness.
{"title":"Comparative Analysis of Double-Tuned Harmonic Passive Filter Design Methodologies Using Slime Mould Optimization Algorithm","authors":"Ahmed M. Zobaa, S. H. A. Abdel Aleem, H. Youssef","doi":"10.1109/TPEC51183.2021.9384950","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384950","url":null,"abstract":"The increasing use of nonlinear loads in power systems generates harmonics, which adversely affects these systems' power quality performance. In this regard, double-tuned filters (DTFs) have received increasing attention in practice to mitigate the effects of power system harmonics. Different techniques have been presented in the literature to obtain the optimal design of DTF parameters using various optimization algorithms. In this work, three methods for designing DTFs- multi-arm method (MAM), direct design method (DDM), and analogy method (AM) between double-tuned and multi-arm single-tuned filters, are investigated and discussed. Further, an optimal design of DTF based on the three design methodologies is presented. A new metaheuristic optimization algorithm called the slime mould optimization algorithm (SMA) is employed to obtain the global filter parameters to minimize the active power losses of a distribution system with both source and load nonlinearities while enhancing the overall power quality performance of the system. The results obtained using the SMA are compared with the results obtained using other algorithms: salp swarm algorithm (SSA) and sine cosine algorithm (SCA) to show the proposed optimization algorithm's superiority and effectiveness.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122709765","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384934
Daryn Negmetzhanov, H. K. Nunna, P. Siano, S. Doolla
An increasing share of on-site distributed generation systems enabled peer-to-peer (P2P) energy trading in distribution systems, where several entities cooperate to obtain electricity at minimum price and make the generation sector Eco-friendly. In this research avenue, significantly less attention was given to the ancillary services, such as reactive power, trading by prosumers. In this paper, we propose a P2P framework in which prosumers can trade reactive power in addition to the active power. The interactions and decision-making processes are modeled as games, and insights on auction mechanisms and bidding (pricing) strategies are present. The game-theoretic approach with trading the bundled energy trading model provides prosumers with more benefits than centralised entity or active power P2P trading model.
{"title":"Peer-to-Peer Bundled Energy Trading with Game Theoretic Approach","authors":"Daryn Negmetzhanov, H. K. Nunna, P. Siano, S. Doolla","doi":"10.1109/TPEC51183.2021.9384934","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384934","url":null,"abstract":"An increasing share of on-site distributed generation systems enabled peer-to-peer (P2P) energy trading in distribution systems, where several entities cooperate to obtain electricity at minimum price and make the generation sector Eco-friendly. In this research avenue, significantly less attention was given to the ancillary services, such as reactive power, trading by prosumers. In this paper, we propose a P2P framework in which prosumers can trade reactive power in addition to the active power. The interactions and decision-making processes are modeled as games, and insights on auction mechanisms and bidding (pricing) strategies are present. The game-theoretic approach with trading the bundled energy trading model provides prosumers with more benefits than centralised entity or active power P2P trading model.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122784796","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384910
Mahendra Kumar, S. Agrawal, T. Mohamed
This paper presents the application of autonomous groups particles swarm optimization (AGPSO) algorithm for PID control design. The proposed control approach is used to design the controller of heat pump and plug-in hybrid electric vehicles for the frequency control of the isolated microgrid. This isolated microgrid is powered by diesel generator and solar energy sources. In addition, load frequency control (LFC) based on PID design for diesel generator is also proposed using AGPSO algorithm. The efficacy and effectiveness of proposed control design approach is evaluated under the influence of random load demand disturbances, and random solar power deviation. Further, the robustness and performance of the proposed control design are tested under parametric uncertainty, and multiple operating conditions of controllers. Finally, simulation results show the effectiveness and performance of the proposed control design in comparison to the published control design approach.
{"title":"Application of AGPSO Algorithm in Frequency Controller Design for Isolated Microgrid","authors":"Mahendra Kumar, S. Agrawal, T. Mohamed","doi":"10.1109/TPEC51183.2021.9384910","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384910","url":null,"abstract":"This paper presents the application of autonomous groups particles swarm optimization (AGPSO) algorithm for PID control design. The proposed control approach is used to design the controller of heat pump and plug-in hybrid electric vehicles for the frequency control of the isolated microgrid. This isolated microgrid is powered by diesel generator and solar energy sources. In addition, load frequency control (LFC) based on PID design for diesel generator is also proposed using AGPSO algorithm. The efficacy and effectiveness of proposed control design approach is evaluated under the influence of random load demand disturbances, and random solar power deviation. Further, the robustness and performance of the proposed control design are tested under parametric uncertainty, and multiple operating conditions of controllers. Finally, simulation results show the effectiveness and performance of the proposed control design in comparison to the published control design approach.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128199697","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384922
Fulin Fan, Yafang Li, S. Ziani, B. Stewart
Compared to traditional unidirectional substations, a reversible substation (RSS) permitting bidirectional power flows is an efficient approach to recovering the braking energy of trains and increasing the energy efficiency of DC traction power supply systems (TPSS). This paper develops two models to reflect the role of an RSS under high and low fidelities, focusing on the converter-and TPSS-level simulation respectively. A particular RSS topology consisting of a 12-pulse diode rectifier and an antiparallel active neutral point clamped voltage source inverter (VSI) is replicated in a high-fidelity model where the VSI is controlled to maintain a constant DC voltage in the braking mode. To reduce computation burden, a low-fidelity model simplifies the rectifier into a diode in series with a controlled voltage source (CVS) that reflects its nonlinear output characteristics, and connects a DC voltage source in parallel with the CVS branch, permitting the delivery of braking power to the RSS under the constant DC voltage control. The two models are tested based on a simplified 1.5 kV TPSS and discussed alongside the consistency in the simulation of the power exchange and voltage transients at the RSS in traction and braking modes.
{"title":"Reversible Substation Modelling with Regenerative Braking in DC Traction Power Supply Systems","authors":"Fulin Fan, Yafang Li, S. Ziani, B. Stewart","doi":"10.1109/TPEC51183.2021.9384922","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384922","url":null,"abstract":"Compared to traditional unidirectional substations, a reversible substation (RSS) permitting bidirectional power flows is an efficient approach to recovering the braking energy of trains and increasing the energy efficiency of DC traction power supply systems (TPSS). This paper develops two models to reflect the role of an RSS under high and low fidelities, focusing on the converter-and TPSS-level simulation respectively. A particular RSS topology consisting of a 12-pulse diode rectifier and an antiparallel active neutral point clamped voltage source inverter (VSI) is replicated in a high-fidelity model where the VSI is controlled to maintain a constant DC voltage in the braking mode. To reduce computation burden, a low-fidelity model simplifies the rectifier into a diode in series with a controlled voltage source (CVS) that reflects its nonlinear output characteristics, and connects a DC voltage source in parallel with the CVS branch, permitting the delivery of braking power to the RSS under the constant DC voltage control. The two models are tested based on a simplified 1.5 kV TPSS and discussed alongside the consistency in the simulation of the power exchange and voltage transients at the RSS in traction and braking modes.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131345685","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384983
Carlos Andrés Luque Carvajal, Sebastian Camilo Soler Cruz, Y. E. G. Vera, Oscar Daniel Diaz Castillo
The actual operating conditions of solar photovoltaic (PV) modules in external environments are generally very different from those presented at STC (Standard Test Conditions) provided by the manufacturers; therefore, it is important to evaluate the solar PV module's operation in real outdoor environments and verify how their performance is affected by variables such as temperature, humidity and irradiation. In this article two stand-alone PV systems with monocrystalline and polycrystalline silicon technologies, with a data acquisition system were designed and implemented, in order to take measurements of environmental variables and power output. A three-month study between September and November 2019 in Bogotá was done, obtaining measurement data in order to compare environmental variables versus power output. The results obtained in this study show the relation between the environmental conditions and the power output for different PV module technologies.
{"title":"Outdoor Performance of crystalline silicon PV modules in Bogotá - Colombia","authors":"Carlos Andrés Luque Carvajal, Sebastian Camilo Soler Cruz, Y. E. G. Vera, Oscar Daniel Diaz Castillo","doi":"10.1109/TPEC51183.2021.9384983","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384983","url":null,"abstract":"The actual operating conditions of solar photovoltaic (PV) modules in external environments are generally very different from those presented at STC (Standard Test Conditions) provided by the manufacturers; therefore, it is important to evaluate the solar PV module's operation in real outdoor environments and verify how their performance is affected by variables such as temperature, humidity and irradiation. In this article two stand-alone PV systems with monocrystalline and polycrystalline silicon technologies, with a data acquisition system were designed and implemented, in order to take measurements of environmental variables and power output. A three-month study between September and November 2019 in Bogotá was done, obtaining measurement data in order to compare environmental variables versus power output. The results obtained in this study show the relation between the environmental conditions and the power output for different PV module technologies.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114282948","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384924
A. Iqbal, M. Siddique, B. P. Reddy, I. Khan
The switched-capacitor boost inverters based on the reduced component count has been the latest development for solar PV utilization along with ac systems with the high-frequency operation. The higher voltage gain, sensorless system for self-voltage balancing makes SC-based multilevel inverters (MLIs) a perfect choice for PV applications. In this article, a boost inverter topology with 9 level output has been presented which features the boost of the input voltage. A voltage gain of four is achieved with a single input source, 12 semiconductor devices while three capacitors of source voltage rating exhibit the self-balancing of their voltage. The proposed 9L-SCBI is tested under various conditions through simulation results and experimentally validated with several experimental results.
{"title":"A High Gain 9L Switched-Capacitor Boost Inverter (9L-SCMI) With Reduced Component Count","authors":"A. Iqbal, M. Siddique, B. P. Reddy, I. Khan","doi":"10.1109/TPEC51183.2021.9384924","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384924","url":null,"abstract":"The switched-capacitor boost inverters based on the reduced component count has been the latest development for solar PV utilization along with ac systems with the high-frequency operation. The higher voltage gain, sensorless system for self-voltage balancing makes SC-based multilevel inverters (MLIs) a perfect choice for PV applications. In this article, a boost inverter topology with 9 level output has been presented which features the boost of the input voltage. A voltage gain of four is achieved with a single input source, 12 semiconductor devices while three capacitors of source voltage rating exhibit the self-balancing of their voltage. The proposed 9L-SCBI is tested under various conditions through simulation results and experimentally validated with several experimental results.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132373853","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：