Pub Date : 2018-02-01DOI: 10.1109/PECI.2018.8334978
Mariana C. Pulcherio, A. Kidder, M. Illindala, R. Yedavalli
This paper presents a novel control strategy for DC microgrids inspired by robust formations observed in ecological systems. Classic control approaches such as pole placement and LQR have been extensively used in the literature and in practical systems. Each technique has specific strengths, but there are also drawbacks. The new approach proposed in this paper combines the strengths of both techniques while avoiding their disadvantages to obtain highly robust systems. A simple DC microgrid is used as a test case to verify the proposed robust control strategy for power systems.
{"title":"An Eco-inspired control strategy for DC microgrids","authors":"Mariana C. Pulcherio, A. Kidder, M. Illindala, R. Yedavalli","doi":"10.1109/PECI.2018.8334978","DOIUrl":"https://doi.org/10.1109/PECI.2018.8334978","url":null,"abstract":"This paper presents a novel control strategy for DC microgrids inspired by robust formations observed in ecological systems. Classic control approaches such as pole placement and LQR have been extensively used in the literature and in practical systems. Each technique has specific strengths, but there are also drawbacks. The new approach proposed in this paper combines the strengths of both techniques while avoiding their disadvantages to obtain highly robust systems. A simple DC microgrid is used as a test case to verify the proposed robust control strategy for power systems.","PeriodicalId":151630,"journal":{"name":"2018 IEEE Power and Energy Conference at Illinois (PECI)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134444814","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 : 2018-02-01DOI: 10.1109/PECI.2018.8334980
H. Sangrody, Ning Zhou, Salih Tutun, B. Khorramdel, Mahdi Motalleb, Morteza Sarailoo
A robust model for power system load forecasting covering different horizons of time from short-term to long-term is an indispensable tool to have a better management of the system. However, as the horizon of time in load forecasting increases, it will be more challenging to have an accurate forecast. Machine learning methods have got more attention as efficient methods in dealing with the stochastic load pattern and resulting in accurate forecasting. In this study, the problem of long-term load forecasting for the case study of New England Network is studied using several commonly used machine learning methods such as feedforward artificial neural network, support vector machine, recurrent neural network, generalized regression neural network, k-nearest neighbors, and Gaussian Process Regression. The results of these methods are compared with mean absolute percentage error (MAPE).
{"title":"Long term forecasting using machine learning methods","authors":"H. Sangrody, Ning Zhou, Salih Tutun, B. Khorramdel, Mahdi Motalleb, Morteza Sarailoo","doi":"10.1109/PECI.2018.8334980","DOIUrl":"https://doi.org/10.1109/PECI.2018.8334980","url":null,"abstract":"A robust model for power system load forecasting covering different horizons of time from short-term to long-term is an indispensable tool to have a better management of the system. However, as the horizon of time in load forecasting increases, it will be more challenging to have an accurate forecast. Machine learning methods have got more attention as efficient methods in dealing with the stochastic load pattern and resulting in accurate forecasting. In this study, the problem of long-term load forecasting for the case study of New England Network is studied using several commonly used machine learning methods such as feedforward artificial neural network, support vector machine, recurrent neural network, generalized regression neural network, k-nearest neighbors, and Gaussian Process Regression. The results of these methods are compared with mean absolute percentage error (MAPE).","PeriodicalId":151630,"journal":{"name":"2018 IEEE Power and Energy Conference at Illinois (PECI)","volume":"R-24 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132935139","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 : 2018-02-01DOI: 10.1109/PECI.2018.8334987
B. Gooch, N. Omar, Dylan Shalberg, M. Shadmand, Kim Fowler
The development of grid of nanogrids that is secure, resilient, sustainable, economical and affordable in an environmentally friendly manner has become a national priority. This paper presents a techno-economic optimal design of grid of nanogrids (GNG) with hybrid energy resources considering uncertainties in the resources and demand. The proposed techno-economic method uses non-dominated sorting genetic algorithm II (NSGA-II) to evaluate the benefit tradeoff of various designs, configurations, and operating modes for GNG. While GNG offer technological advantages, the practical engineering solution is to perform a comprehensive economic assessment of the technological merits. Thus, this paper explores the GNG configuration with higher energy availability and reliability while minimizing size and cost. In the optimization procedure, the benefits of load control and correlation in the distributed renewable energy resources across the GNG are considered to mitigate the requirement of a large energy storage system. The uncertainty in the resources and demand are characterized by a correlated auto-regressive moving average technique.
{"title":"Multi-criteria techno-economic optimization of hybrid grid of nanogrids","authors":"B. Gooch, N. Omar, Dylan Shalberg, M. Shadmand, Kim Fowler","doi":"10.1109/PECI.2018.8334987","DOIUrl":"https://doi.org/10.1109/PECI.2018.8334987","url":null,"abstract":"The development of grid of nanogrids that is secure, resilient, sustainable, economical and affordable in an environmentally friendly manner has become a national priority. This paper presents a techno-economic optimal design of grid of nanogrids (GNG) with hybrid energy resources considering uncertainties in the resources and demand. The proposed techno-economic method uses non-dominated sorting genetic algorithm II (NSGA-II) to evaluate the benefit tradeoff of various designs, configurations, and operating modes for GNG. While GNG offer technological advantages, the practical engineering solution is to perform a comprehensive economic assessment of the technological merits. Thus, this paper explores the GNG configuration with higher energy availability and reliability while minimizing size and cost. In the optimization procedure, the benefits of load control and correlation in the distributed renewable energy resources across the GNG are considered to mitigate the requirement of a large energy storage system. The uncertainty in the resources and demand are characterized by a correlated auto-regressive moving average technique.","PeriodicalId":151630,"journal":{"name":"2018 IEEE Power and Energy Conference at Illinois (PECI)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124432439","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 : 2018-02-01DOI: 10.1109/PECI.2018.8334972
S. Patel, W. Weaver
Demand for electrification is booming in both, traditional and upcoming generations of technological advancements. Power conversion systems are crucial aspect of electrification and often constructed by aggregating multiple power converter blocks for high power, performance and reliability of overall electrical system. An advanced control technique is developed is proposed with an aim to optimize system states of heterogeneous power converters within minimum transition time while maintaining feasible stress level on individual power converter. Practical implementation of real-time controller and performance improvement strategies are addressed. Hardware-in-the-loop emulation results validating the method, and the sensitivity analysis of system states as measure of robustness is presented.
{"title":"Real-time implementation of minimum time transition for paralleled boost converters","authors":"S. Patel, W. Weaver","doi":"10.1109/PECI.2018.8334972","DOIUrl":"https://doi.org/10.1109/PECI.2018.8334972","url":null,"abstract":"Demand for electrification is booming in both, traditional and upcoming generations of technological advancements. Power conversion systems are crucial aspect of electrification and often constructed by aggregating multiple power converter blocks for high power, performance and reliability of overall electrical system. An advanced control technique is developed is proposed with an aim to optimize system states of heterogeneous power converters within minimum transition time while maintaining feasible stress level on individual power converter. Practical implementation of real-time controller and performance improvement strategies are addressed. Hardware-in-the-loop emulation results validating the method, and the sensitivity analysis of system states as measure of robustness is presented.","PeriodicalId":151630,"journal":{"name":"2018 IEEE Power and Energy Conference at Illinois (PECI)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124691114","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 : 2018-02-01DOI: 10.1109/PECI.2018.8334984
M. Alrizq, E. de Doncker
Electric utility companies are interested in load profile (electricity consumption) data when it comes to expansion planning. With the evolution of the smart grid and distributed energy resource concepts, the requirement of load profile data for planning has become critical. Conventional methods of collecting the load profile data, such as surveys and metering, are very tedious and time consuming activities. Consumer demand, as well as continuous technological evolution, contribute to rendering data obsolete in a short period of time. Furthermore, cumbersome data collection processes also pose barriers. In this paper, we present an innovative behavior model for generating electricity consumption load profiles. Our model requires minimum consumer data and can be easily updated to adapt to the changing technology. We demonstrate the accuracy of our model against real world data.
{"title":"A novel fuzzy based human behavior model for residential electricity consumption forecasting","authors":"M. Alrizq, E. de Doncker","doi":"10.1109/PECI.2018.8334984","DOIUrl":"https://doi.org/10.1109/PECI.2018.8334984","url":null,"abstract":"Electric utility companies are interested in load profile (electricity consumption) data when it comes to expansion planning. With the evolution of the smart grid and distributed energy resource concepts, the requirement of load profile data for planning has become critical. Conventional methods of collecting the load profile data, such as surveys and metering, are very tedious and time consuming activities. Consumer demand, as well as continuous technological evolution, contribute to rendering data obsolete in a short period of time. Furthermore, cumbersome data collection processes also pose barriers. In this paper, we present an innovative behavior model for generating electricity consumption load profiles. Our model requires minimum consumer data and can be easily updated to adapt to the changing technology. We demonstrate the accuracy of our model against real world data.","PeriodicalId":151630,"journal":{"name":"2018 IEEE Power and Energy Conference at Illinois (PECI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133761786","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 : 2018-02-01DOI: 10.1109/PECI.2018.8334966
Ahmed Aldhaheri, A. Etemadi
This paper presents a method to eliminate the sensitivity of impedance-interaction between source and load converters in a DC distributed power system (DPS). The impedance-interaction adversely alters the dynamic performance of the switched-mode converters, in a DPS, leading to destabilizing the voltage at their point of interface. Therefore, the proposed method lowers the interaction level by shaping the magnitude of the source converter output impedance (Zo(s)). Reducing the magnitude of Zo(s) mitigates the impedance-interaction and, consequently, improves the dynamic performance of each converter. The proposed controller utilizes the output voltage (Vo) of the source converter in order to reduce |Zo (s)| by a factor of (1 + Vo). The controller is effective with output voltages as low as 1 V because 1 V will reduce |Zo(s)| by 6 dB. The controller was experimentally validated in order to prove the offered theoretical analyses and time-based simulations.
{"title":"Mitigating the impedance-based interaction in DC distributed power systems","authors":"Ahmed Aldhaheri, A. Etemadi","doi":"10.1109/PECI.2018.8334966","DOIUrl":"https://doi.org/10.1109/PECI.2018.8334966","url":null,"abstract":"This paper presents a method to eliminate the sensitivity of impedance-interaction between source and load converters in a DC distributed power system (DPS). The impedance-interaction adversely alters the dynamic performance of the switched-mode converters, in a DPS, leading to destabilizing the voltage at their point of interface. Therefore, the proposed method lowers the interaction level by shaping the magnitude of the source converter output impedance (Zo(s)). Reducing the magnitude of Zo(s) mitigates the impedance-interaction and, consequently, improves the dynamic performance of each converter. The proposed controller utilizes the output voltage (Vo) of the source converter in order to reduce |Zo (s)| by a factor of (1 + Vo). The controller is effective with output voltages as low as 1 V because 1 V will reduce |Zo(s)| by 6 dB. The controller was experimentally validated in order to prove the offered theoretical analyses and time-based simulations.","PeriodicalId":151630,"journal":{"name":"2018 IEEE Power and Energy Conference at Illinois (PECI)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132306035","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 : 2018-02-01DOI: 10.1109/PECI.2018.8334977
A. Saranya, K. Swarup
With the large-scale manufacturing and production, the per-unit cost of energy from photovoltaic modules have decreased, and the incentives given by the governments are slowly withdrawn. Consequently, the photovoltaic power plants are able to, and asked to, participate in the electricity markets to trade its power competing with conventional generators. This work contributes to the offering strategies for photovoltaic power plants in the day-ahead electricity market with balancing market. The uncertain variables considered are day-ahead electricity prices and actual solar power production for which scenarios are created from historical data. The photovoltaic power plant is modeled as a price taker and the offering problem is solved as a linear programming problem with stochastic optimization.
{"title":"Offering strategy for a photovoltaic power plant in electricity market","authors":"A. Saranya, K. Swarup","doi":"10.1109/PECI.2018.8334977","DOIUrl":"https://doi.org/10.1109/PECI.2018.8334977","url":null,"abstract":"With the large-scale manufacturing and production, the per-unit cost of energy from photovoltaic modules have decreased, and the incentives given by the governments are slowly withdrawn. Consequently, the photovoltaic power plants are able to, and asked to, participate in the electricity markets to trade its power competing with conventional generators. This work contributes to the offering strategies for photovoltaic power plants in the day-ahead electricity market with balancing market. The uncertain variables considered are day-ahead electricity prices and actual solar power production for which scenarios are created from historical data. The photovoltaic power plant is modeled as a price taker and the offering problem is solved as a linear programming problem with stochastic optimization.","PeriodicalId":151630,"journal":{"name":"2018 IEEE Power and Energy Conference at Illinois (PECI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134330621","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 : 2018-02-01DOI: 10.1109/PECI.2018.8334975
Woongkul Lee, B. Sarlioglu
Gallium nitride (GaN) high electron mobility transistor (HEMT) has a lateral device structure with a land grid array (LGA) or ball grid array (BGA) device package, which is beneficial in minimizing parasitic parameters as well as the overall device size. These types of packages in conjunction with the lateral device structure possess better thermal performance as compared to the conventional silicon MOSFETs. When a printed circuit board layout is properly designed, the copper traces and pours in the vicinity of the switching devices can serve as effective heat dissipation channels. In this paper, an integrated planar inductor is designed and analyzed to achieve both zero-voltage switching and high thermal performance in a high frequency synchronous buck converter. The conduction losses in the planar inductor can be significantly reduced using multilayer PCB and heavy copper trace.
{"title":"Design and analysis of integrated planar inductor for GaN HEMT-based zero-voltage switching synchronous buck converter","authors":"Woongkul Lee, B. Sarlioglu","doi":"10.1109/PECI.2018.8334975","DOIUrl":"https://doi.org/10.1109/PECI.2018.8334975","url":null,"abstract":"Gallium nitride (GaN) high electron mobility transistor (HEMT) has a lateral device structure with a land grid array (LGA) or ball grid array (BGA) device package, which is beneficial in minimizing parasitic parameters as well as the overall device size. These types of packages in conjunction with the lateral device structure possess better thermal performance as compared to the conventional silicon MOSFETs. When a printed circuit board layout is properly designed, the copper traces and pours in the vicinity of the switching devices can serve as effective heat dissipation channels. In this paper, an integrated planar inductor is designed and analyzed to achieve both zero-voltage switching and high thermal performance in a high frequency synchronous buck converter. The conduction losses in the planar inductor can be significantly reduced using multilayer PCB and heavy copper trace.","PeriodicalId":151630,"journal":{"name":"2018 IEEE Power and Energy Conference at Illinois (PECI)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132118242","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 : 2018-02-01DOI: 10.1109/PECI.2018.8334974
Timothy J. Donnelly, S. Pekarek
Updating incandescent-based airfield taxiway and runway lighting systems with LED technology offers many advantages, including longer service life and improved efficiency. However, incorporating LEDs directly into an existing airfield infrastructure offers several challenges. Chief among these is ensuring that light output is uniform across distances that may reach several kilometers. In this research, a model has been developed to characterize the behavior of LED lighting systems for airfield applications. The model includes the saturated dynamics of isolation transformers, a distributed representation of the airfield cable, diode rectification, and the dynamics of a current-regulated isolated power supply. Herein the details of the model, including its validation, are first described. Subsequently, the model is used in the development of a controller that can overcome the problem of nonuniform lighting that results from transmission-line effects introduced by long cable runs.
{"title":"Modeling and control of an LED-based airfield lighting system","authors":"Timothy J. Donnelly, S. Pekarek","doi":"10.1109/PECI.2018.8334974","DOIUrl":"https://doi.org/10.1109/PECI.2018.8334974","url":null,"abstract":"Updating incandescent-based airfield taxiway and runway lighting systems with LED technology offers many advantages, including longer service life and improved efficiency. However, incorporating LEDs directly into an existing airfield infrastructure offers several challenges. Chief among these is ensuring that light output is uniform across distances that may reach several kilometers. In this research, a model has been developed to characterize the behavior of LED lighting systems for airfield applications. The model includes the saturated dynamics of isolation transformers, a distributed representation of the airfield cable, diode rectification, and the dynamics of a current-regulated isolated power supply. Herein the details of the model, including its validation, are first described. Subsequently, the model is used in the development of a controller that can overcome the problem of nonuniform lighting that results from transmission-line effects introduced by long cable runs.","PeriodicalId":151630,"journal":{"name":"2018 IEEE Power and Energy Conference at Illinois (PECI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129883950","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 : 2018-02-01DOI: 10.1109/PECI.2018.8334990
A. Sahami, R. Yousefian, S. Kamalasadan
Direct energy function based methods for power system stability analysis proves to be more important especially when dealing with distributed energy resource (DER) integrated power grid. In this paper, it is shown that in order to make a system more stable, either the kinetic energy absorbed during a disturbance should be reduced, or the potential energy absorbing capacity of the network should be increased. Further, a method based on this concept is proposed using reactive power (VAR) control, which increases potential energy absorbing capacity of the grid during transient conditions. The proposed method has been first proved mathematically, and the results for its application on the IEEE 9 bus system is presented.
{"title":"An approach based on potential energy balance for transient stability improvement in modern power grid","authors":"A. Sahami, R. Yousefian, S. Kamalasadan","doi":"10.1109/PECI.2018.8334990","DOIUrl":"https://doi.org/10.1109/PECI.2018.8334990","url":null,"abstract":"Direct energy function based methods for power system stability analysis proves to be more important especially when dealing with distributed energy resource (DER) integrated power grid. In this paper, it is shown that in order to make a system more stable, either the kinetic energy absorbed during a disturbance should be reduced, or the potential energy absorbing capacity of the network should be increased. Further, a method based on this concept is proposed using reactive power (VAR) control, which increases potential energy absorbing capacity of the grid during transient conditions. The proposed method has been first proved mathematically, and the results for its application on the IEEE 9 bus system is presented.","PeriodicalId":151630,"journal":{"name":"2018 IEEE Power and Energy Conference at Illinois (PECI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130840667","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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