Pub Date : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815721
Gökhan Gören, B. Dindar, Ö. Gül
Electrical energy demand is increasing day by day with developing technology and increasing population. The limitation of resources reveals the importance of efficient use of energy. While the electrical energy is delivered to the final consumer, losses occur in the transmission and distribution grids. These losses may be due to technical and non-technical reasons. Higher losses cause more energy to be produced to compensate for this loss, making the system heavy loaded. It increases the cost of electricity and reduces its quality. For these reasons, Turkish Energy Market Regulatory Authority (EMRA) determines the loss-theft ratio of distribution companies with the ceiling price application, which is a penalty-reward method, in order to increase the performance of distribution networks. Due to these regulations, distribution companies make investments in order to improve their loss-theft ratio. The location and cost of losses must be known to predict investment. Due to the variable loads in the networks, it is difficult to measure and store the losses continuously. It requires a large amount of data and it is a time consuming process. The main purpose of this study is to estimate the losses in the distribution grid using artificial neural networks (ANN) instead of calculating them. Thus, an economical and fast methodology has emerged for distribution networks. The forecast results and the actual energy losses in this study are very close. In this study, firstly, the losses in the electricity distribution networks were calculated by using the load loss factor (LLF). With the obtained data set, future predictions were made using artificial neural networks. The costs of the estimated and calculated lost energies were calculated and compared.
{"title":"Artificial Neural Network based Cost Estimation of Power Losses in Electricity Distribution System","authors":"Gökhan Gören, B. Dindar, Ö. Gül","doi":"10.1109/gpecom55404.2022.9815721","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815721","url":null,"abstract":"Electrical energy demand is increasing day by day with developing technology and increasing population. The limitation of resources reveals the importance of efficient use of energy. While the electrical energy is delivered to the final consumer, losses occur in the transmission and distribution grids. These losses may be due to technical and non-technical reasons. Higher losses cause more energy to be produced to compensate for this loss, making the system heavy loaded. It increases the cost of electricity and reduces its quality. For these reasons, Turkish Energy Market Regulatory Authority (EMRA) determines the loss-theft ratio of distribution companies with the ceiling price application, which is a penalty-reward method, in order to increase the performance of distribution networks. Due to these regulations, distribution companies make investments in order to improve their loss-theft ratio. The location and cost of losses must be known to predict investment. Due to the variable loads in the networks, it is difficult to measure and store the losses continuously. It requires a large amount of data and it is a time consuming process. The main purpose of this study is to estimate the losses in the distribution grid using artificial neural networks (ANN) instead of calculating them. Thus, an economical and fast methodology has emerged for distribution networks. The forecast results and the actual energy losses in this study are very close. In this study, firstly, the losses in the electricity distribution networks were calculated by using the load loss factor (LLF). With the obtained data set, future predictions were made using artificial neural networks. The costs of the estimated and calculated lost energies were calculated and compared.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123912760","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815777
S. Gugaliya, Durgesh D, S. Kumar, A. Sheikh
With the recent issues of the fossil fuels extinction for the electricity generation there is a paradigm shift towards renewable energy sources (RES) based generation. Even though the RES are clean source of energy, it suffers from the issue of intermittency due to the dependency on environmental condition. To address this the paper focuses on the forecasting of solar and wind power generation data using the available data to mitigate the effect of electricity demand-supply mismatch and facilitate the demand-side management program. For achieving this claims the paper implements the Dynamic Mode Decomposition (DMD) algorithm for forecasting the solar and wind generation. The DMD is a strategy for predicting system states by reducing data down into its primary modes, which are derived from a series of training data. The primary modes are useful for determining the system’s behaviour and projecting future states even in a noisy environment. Using the DMD algorithm the RES such as solar and wind energy data is predicted in different test scenarios. To test the effectiveness of prediction algorithm the evaluation metrics are calculated and from the prediction results and the metrics data available it can be claimed that the DMD algorithm performs better in different case scenarios.
{"title":"Data Driven Approach for Long Term Forecasting of Renewable Energy Generation","authors":"S. Gugaliya, Durgesh D, S. Kumar, A. Sheikh","doi":"10.1109/gpecom55404.2022.9815777","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815777","url":null,"abstract":"With the recent issues of the fossil fuels extinction for the electricity generation there is a paradigm shift towards renewable energy sources (RES) based generation. Even though the RES are clean source of energy, it suffers from the issue of intermittency due to the dependency on environmental condition. To address this the paper focuses on the forecasting of solar and wind power generation data using the available data to mitigate the effect of electricity demand-supply mismatch and facilitate the demand-side management program. For achieving this claims the paper implements the Dynamic Mode Decomposition (DMD) algorithm for forecasting the solar and wind generation. The DMD is a strategy for predicting system states by reducing data down into its primary modes, which are derived from a series of training data. The primary modes are useful for determining the system’s behaviour and projecting future states even in a noisy environment. Using the DMD algorithm the RES such as solar and wind energy data is predicted in different test scenarios. To test the effectiveness of prediction algorithm the evaluation metrics are calculated and from the prediction results and the metrics data available it can be claimed that the DMD algorithm performs better in different case scenarios.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124397518","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815714
K. Wheeler, Harun Buyukkocabas, Michael Simone, Jia Guo, Elizabeth Lee, Bryan Winger
This paper presents a protection and operating scheme integrated into an installed grid-edge microgrid in rural Western Canada. The scheme employs a centralized controller with relays utilizing traditional overcurrent elements in conjunction with voltage and frequency components to yield efficient protection and operation of the microgrid in both grid and islanded modes. The relays are independent and use a single group of settings removing the need to change based on operating topology. The proposed elements are utilized to handle the drastic differences in fault characteristics when transitioning between grid and islanded modes. The proposed scheme is tested in a laboratory environment with an Omicron test set and SEL relays which confirm its efficacy in the context of this microgrid’s application.
{"title":"A Protection and Operating Scheme Integrated into a Grid-Edge Microgrid","authors":"K. Wheeler, Harun Buyukkocabas, Michael Simone, Jia Guo, Elizabeth Lee, Bryan Winger","doi":"10.1109/gpecom55404.2022.9815714","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815714","url":null,"abstract":"This paper presents a protection and operating scheme integrated into an installed grid-edge microgrid in rural Western Canada. The scheme employs a centralized controller with relays utilizing traditional overcurrent elements in conjunction with voltage and frequency components to yield efficient protection and operation of the microgrid in both grid and islanded modes. The relays are independent and use a single group of settings removing the need to change based on operating topology. The proposed elements are utilized to handle the drastic differences in fault characteristics when transitioning between grid and islanded modes. The proposed scheme is tested in a laboratory environment with an Omicron test set and SEL relays which confirm its efficacy in the context of this microgrid’s application.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"28 20","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131539596","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815603
Mikail Purlu, B. Turkay, Cenk Andic, E. Aydin, Bilal Canol, Burak Kucukaslan
The market-clearing price determined in the electricity market is of great importance for the market players trading in electricity. The market-clearing price constitutes the core of the buying and selling transactions in the electricity market. Knowing what the price of the product, service or commodity to be bought and / or sold would be, provides a great competitive advantage to the relevant party over the person or organization carrying out the relevant commercial activity. It is important to successfully predict the market-clearing price in the market in order to set strategy and game plan and implement risk management. For this purpose, in this study, a model using only publicly available input data on Keras, a deep learning library, is used to predict hourly market-clearing price in Turkish Day-Ahead Electricity Market. Despite the high economic and financial uncertainty and price fluctuations in 2021, the proposed model showed a high performance with a MAPE value of 2.5% and it is clear that the model is successful and applicable in real market conditions.
{"title":"Market-Clearing Price Forecasting Using Keras in Turkish Day-Ahead Electricity Market","authors":"Mikail Purlu, B. Turkay, Cenk Andic, E. Aydin, Bilal Canol, Burak Kucukaslan","doi":"10.1109/gpecom55404.2022.9815603","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815603","url":null,"abstract":"The market-clearing price determined in the electricity market is of great importance for the market players trading in electricity. The market-clearing price constitutes the core of the buying and selling transactions in the electricity market. Knowing what the price of the product, service or commodity to be bought and / or sold would be, provides a great competitive advantage to the relevant party over the person or organization carrying out the relevant commercial activity. It is important to successfully predict the market-clearing price in the market in order to set strategy and game plan and implement risk management. For this purpose, in this study, a model using only publicly available input data on Keras, a deep learning library, is used to predict hourly market-clearing price in Turkish Day-Ahead Electricity Market. Despite the high economic and financial uncertainty and price fluctuations in 2021, the proposed model showed a high performance with a MAPE value of 2.5% and it is clear that the model is successful and applicable in real market conditions.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"63 15","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131874001","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815789
I. Kocaarslan, M. A. Zehir, Ege Uzun, Enes Can Uzun, Mustafa Emin Korkmaz, Yigit Cakiroglu
The ever-growing battery electric vehicle market (BEV) have reached several millions of sales annually, as a result of significant electrification of transport efforts globally. Accurate estimation of energy consumed by BEVs is of major importance especially for charging station selection, route planning and development of energy-efficient driving strategies in both manual and autonomous driving. One of the ways of achieving this is to conduct experiments on real BEVs, which is costly and labor intensive. An alternative to real life experimentation is to design high-fidelity mathematical models for energy consumption of BEVs and feed this model with experimental standardized driving cycles. This study develops and investigates the capabilities and advantages of a generic, detailed, modular BEV model. The effects of wide range of parameters on energy consumption of a BEV are analyzed comprehensively. The study is concluded by discussing the promising potential areas of use of the developed model.
{"title":"High-Fidelity Electric Vehicle Energy Consumption Modelling and Investigation of Factors in Driving on Energy Consumption","authors":"I. Kocaarslan, M. A. Zehir, Ege Uzun, Enes Can Uzun, Mustafa Emin Korkmaz, Yigit Cakiroglu","doi":"10.1109/gpecom55404.2022.9815789","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815789","url":null,"abstract":"The ever-growing battery electric vehicle market (BEV) have reached several millions of sales annually, as a result of significant electrification of transport efforts globally. Accurate estimation of energy consumed by BEVs is of major importance especially for charging station selection, route planning and development of energy-efficient driving strategies in both manual and autonomous driving. One of the ways of achieving this is to conduct experiments on real BEVs, which is costly and labor intensive. An alternative to real life experimentation is to design high-fidelity mathematical models for energy consumption of BEVs and feed this model with experimental standardized driving cycles. This study develops and investigates the capabilities and advantages of a generic, detailed, modular BEV model. The effects of wide range of parameters on energy consumption of a BEV are analyzed comprehensively. The study is concluded by discussing the promising potential areas of use of the developed model.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133920352","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815805
M. Younes, Y. Louét
The number and variety of mobile applications are increasing at an unprecedented and unforeseen rate. To cope with the traffic growth, simultaneous Base Stations (BSs) transmission in broadcast mode will play a particularly important role, as it has been identified as one of the candidate Fifth Generation (5G) technologies, as highlighted in the Third Generation Partnership Project (3GPP) research projects and standard documents. In this context, this paper starts from a scenario of dense BSs deployments and focuses on the study and analysis of the switching threshold between unicast and broadcast cellular downlink transmission modes. Specifically, we provide the threshold number of users per BS at which the broadcast mode becomes more advantageous than the unicast mode in terms of resource utilization. This objective is achieved by considering in the modeling of the cellular network that the location of the BSs is generated according to the Poisson Point Process (PPP) instead of the traditional hexagonal model, taking into account the intercellular interference. This work also addresses the issue of the impact of the variation of some parameters such as the transmission power of the BSs, the density of the BSs, the number of antennas per sector in unicast mode (with beamforming), the size of the simultaneous transmission area in broadcast mode and the outage probability of the system, on the switching threshold under various system conditions.
{"title":"Analysis of Unicast/Broadcast Switch Over with Regard to Resource Allocation for Future Cellular Networks","authors":"M. Younes, Y. Louét","doi":"10.1109/gpecom55404.2022.9815805","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815805","url":null,"abstract":"The number and variety of mobile applications are increasing at an unprecedented and unforeseen rate. To cope with the traffic growth, simultaneous Base Stations (BSs) transmission in broadcast mode will play a particularly important role, as it has been identified as one of the candidate Fifth Generation (5G) technologies, as highlighted in the Third Generation Partnership Project (3GPP) research projects and standard documents. In this context, this paper starts from a scenario of dense BSs deployments and focuses on the study and analysis of the switching threshold between unicast and broadcast cellular downlink transmission modes. Specifically, we provide the threshold number of users per BS at which the broadcast mode becomes more advantageous than the unicast mode in terms of resource utilization. This objective is achieved by considering in the modeling of the cellular network that the location of the BSs is generated according to the Poisson Point Process (PPP) instead of the traditional hexagonal model, taking into account the intercellular interference. This work also addresses the issue of the impact of the variation of some parameters such as the transmission power of the BSs, the density of the BSs, the number of antennas per sector in unicast mode (with beamforming), the size of the simultaneous transmission area in broadcast mode and the outage probability of the system, on the switching threshold under various system conditions.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134067594","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815791
F. Eroǧlu, M. Kurtoglu, A. Eren, Ahmet Mete Vural
Battery state-of-charges (SOCs) in a cascaded H-bridge multilevel converter (CHB-MLC) based battery storage systems (BSSs) may vary since electrochemical characteristics of batteries may differ. Consequently, efficiency and capacity of BSS drops drastically. Hence, SOC balancing is needed in CHB-MLC based BSSs. In this paper, a phase-shifted pulse width modulation (PS-PWM) based battery SOC balancing control scheme is proposed for grid-tied single-phase CHB-MLC based BSS. Moreover, a synchronous reference frame based bidirectional power flow control is utilized and unity power factor operation is obtained. Effective performance of the suggested BSS is tested and evaluated under different types of loads along with SOC imbalances. It is observed that while SOC balancing is accomplished successfully, active power flow is controlled and unity power factor operation is sustained.
{"title":"State-of-Charge Balancing Control in Grid-Connected Single-Phase Cascaded H-Bridge Multilevel Converter Based Battery Storage Systems","authors":"F. Eroǧlu, M. Kurtoglu, A. Eren, Ahmet Mete Vural","doi":"10.1109/gpecom55404.2022.9815791","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815791","url":null,"abstract":"Battery state-of-charges (SOCs) in a cascaded H-bridge multilevel converter (CHB-MLC) based battery storage systems (BSSs) may vary since electrochemical characteristics of batteries may differ. Consequently, efficiency and capacity of BSS drops drastically. Hence, SOC balancing is needed in CHB-MLC based BSSs. In this paper, a phase-shifted pulse width modulation (PS-PWM) based battery SOC balancing control scheme is proposed for grid-tied single-phase CHB-MLC based BSS. Moreover, a synchronous reference frame based bidirectional power flow control is utilized and unity power factor operation is obtained. Effective performance of the suggested BSS is tested and evaluated under different types of loads along with SOC imbalances. It is observed that while SOC balancing is accomplished successfully, active power flow is controlled and unity power factor operation is sustained.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125913178","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815684
C. Nicola, M. Nicola
This article presents the development stages of the real-time implementation for a Permanent Magnet Synchronous Motor (PMSM) control system. The control structures specific to the Field Oriented Control (FOC) strategy, the hardware elements, and the software programming environments used are presented. These stages can be presented in a chained manner in the form of stages such as: Model-In-the-Loop (MIL), Software-In-the-Loop (SIL), Processor-In-the-Loop (PIL), and Hardware-In-the-Loop (HIL). Moreover, in addition to the presentation of these stages, the article also presents the identification and tuning stages inherent to any control system. The results obtained in each of these stages are presented, the final goal being the study of the evolution in real-time of the performance of the PMSM control system.
{"title":"Real Time Implementation of the PMSM Sensorless Control Based on FOC Strategy","authors":"C. Nicola, M. Nicola","doi":"10.1109/gpecom55404.2022.9815684","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815684","url":null,"abstract":"This article presents the development stages of the real-time implementation for a Permanent Magnet Synchronous Motor (PMSM) control system. The control structures specific to the Field Oriented Control (FOC) strategy, the hardware elements, and the software programming environments used are presented. These stages can be presented in a chained manner in the form of stages such as: Model-In-the-Loop (MIL), Software-In-the-Loop (SIL), Processor-In-the-Loop (PIL), and Hardware-In-the-Loop (HIL). Moreover, in addition to the presentation of these stages, the article also presents the identification and tuning stages inherent to any control system. The results obtained in each of these stages are presented, the final goal being the study of the evolution in real-time of the performance of the PMSM control system.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"507 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116556052","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815723
Arda Maro, Gokturk Poyrazoglu
As the number of electronic devices in our daily lives increases day by day, the risk of electromagnetic interference (EMI) between the devices and between the device and the grid increases. Refrigerators are the only devices found in almost every home and work non-stop. For this reason, refrigerators have importance in terms of electromagnetic interference. Three refrigerators with different cable distributions have been prepared for this research. Conducted emission tests have been performed for phase lines and neutral lines to examine the impact of the cable distributions on EMI. In some cases, separation of AC and DC cables improved the noise values by around 2-4 dB at most of the frequencies; however, in some cases, the results were so worse that the product failed the test.
{"title":"Experimental Impact Analysis of the Refrigerator Cable Distributions on Conducted Electromagnetic Emission","authors":"Arda Maro, Gokturk Poyrazoglu","doi":"10.1109/gpecom55404.2022.9815723","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815723","url":null,"abstract":"As the number of electronic devices in our daily lives increases day by day, the risk of electromagnetic interference (EMI) between the devices and between the device and the grid increases. Refrigerators are the only devices found in almost every home and work non-stop. For this reason, refrigerators have importance in terms of electromagnetic interference. Three refrigerators with different cable distributions have been prepared for this research. Conducted emission tests have been performed for phase lines and neutral lines to examine the impact of the cable distributions on EMI. In some cases, separation of AC and DC cables improved the noise values by around 2-4 dB at most of the frequencies; however, in some cases, the results were so worse that the product failed the test.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114848180","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815698
Arvind Yadav, M. Bajaj, F. Jurado, S. Kamel
With use of appropriate power converter renewable energy utilization can be increased many folds. Quasi-z-source inverter shows unconventional boosting with single stage power conversion. In this paper, effect of PV array output voltage variation is mitigated with appropriate closed loop control. Small signal models for the dc and ac sides are developed, and the influence of impedance network passive element size selection on the output control transfer function is investigated. The component size of the quasi-z-source inverter’s impedance network is designed to provide an underdamped response. Closed loop control is used to maintain a consistent dc-link voltage by regulating the capacitor voltage. At the dc and ac sides, the shoot-through duty ratio and modulation index are regulated, and the closed loop control’s effectiveness is evaluated for a step change in PV array output. The obtained outcomes support the described methodology for PV-based quasi-z-source inverter setup.
{"title":"Capacitor voltage control of PV based quasi-z-source inverter","authors":"Arvind Yadav, M. Bajaj, F. Jurado, S. Kamel","doi":"10.1109/gpecom55404.2022.9815698","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815698","url":null,"abstract":"With use of appropriate power converter renewable energy utilization can be increased many folds. Quasi-z-source inverter shows unconventional boosting with single stage power conversion. In this paper, effect of PV array output voltage variation is mitigated with appropriate closed loop control. Small signal models for the dc and ac sides are developed, and the influence of impedance network passive element size selection on the output control transfer function is investigated. The component size of the quasi-z-source inverter’s impedance network is designed to provide an underdamped response. Closed loop control is used to maintain a consistent dc-link voltage by regulating the capacitor voltage. At the dc and ac sides, the shoot-through duty ratio and modulation index are regulated, and the closed loop control’s effectiveness is evaluated for a step change in PV array output. The obtained outcomes support the described methodology for PV-based quasi-z-source inverter setup.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121392308","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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