Pub Date : 2019-09-01DOI: 10.1109/SEST.2019.8849002
I. Kalysh, M. Kenzhina, N. Kaiyrbekov, H. K. Nunna, Aresh Dadlani, S. Doolla
Reliability of power distribution systems is of very crucial concern due to cases of mass power outages that occur worldwide. Once an unscheduled outage takes place in power grids, the service restoration is triggered to rapidly return the system to normal conditions and minimize the severity of consequences. This paper proposes a self-healing power distribution grid restoration technique based on decentralized multi-agent systems with reinforcement learning. The system architecture is based on two types of zone agents: Inactive Zone Agent (IZA) and Active Zone Agent (AZA), where the IZA is activated provided that an agent is within the out-of-service area. This study contributes to the advancement of service restoration by endowing agents with learning ability. The reward computation proposed in this paper is based on the load priority factor, and also it ensures preserving the constraints within the limits. Case studies include a comparison of service restoration outcomes with load priority factor and DGs incorporated into the network. All simulations are implemented in the PowerWorld simulator for the medium voltage network of 11kV with 29 buses. The results of the study prove that embedding Q-learning algorithm into service restoration significantly improves the performance metrics and thus, increases the reliability of the distribution grids.
由于世界范围内经常发生大规模停电，配电系统的可靠性是一个非常重要的问题。一旦电网发生计划外停电，就会触发服务恢复，迅速将系统恢复到正常状态，并将后果的严重性降到最低。提出了一种基于分散多智能体系统强化学习的自愈配电网恢复技术。系统架构基于两种类型的zone Agent: Inactive zone Agent (IZA)和Active zone Agent (AZA)，其中只有在out- service区域内的Agent才会激活IZA。本研究通过赋予agent学习能力，促进了服务修复的发展。本文提出的奖励计算是基于负载优先因子的，并且保证了约束条件在限制范围内。案例研究包括负载优先因素和dg纳入网络的服务恢复结果的比较。所有的仿真都是在PowerWorld模拟器中实现的，该网络为11kV、29母线的中压网络。研究结果表明，将q -学习算法嵌入到服务恢复中，显著提高了性能指标，从而提高了配电网的可靠性。
{"title":"Machine Learning-based Service Restoration Scheme for Smart Distribution Systems with DGs and High Priority Loads","authors":"I. Kalysh, M. Kenzhina, N. Kaiyrbekov, H. K. Nunna, Aresh Dadlani, S. Doolla","doi":"10.1109/SEST.2019.8849002","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849002","url":null,"abstract":"Reliability of power distribution systems is of very crucial concern due to cases of mass power outages that occur worldwide. Once an unscheduled outage takes place in power grids, the service restoration is triggered to rapidly return the system to normal conditions and minimize the severity of consequences. This paper proposes a self-healing power distribution grid restoration technique based on decentralized multi-agent systems with reinforcement learning. The system architecture is based on two types of zone agents: Inactive Zone Agent (IZA) and Active Zone Agent (AZA), where the IZA is activated provided that an agent is within the out-of-service area. This study contributes to the advancement of service restoration by endowing agents with learning ability. The reward computation proposed in this paper is based on the load priority factor, and also it ensures preserving the constraints within the limits. Case studies include a comparison of service restoration outcomes with load priority factor and DGs incorporated into the network. All simulations are implemented in the PowerWorld simulator for the medium voltage network of 11kV with 29 buses. The results of the study prove that embedding Q-learning algorithm into service restoration significantly improves the performance metrics and thus, increases the reliability of the distribution grids.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123038008","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849089
T. Soares, M. Cruz, M. Matos
Increasing power injection of distributed energy resources (DER) (including prosumers) has been changing the way the distribution system is operated and managed. Thus, conventional network usage tariffs are no longer fair enough to distribute the network costs to the various system participants. Within this scope, this work studies innovative cost allocation models that fairly distribute fixed, network usage and power losses costs to all system participants. A three-stage model is designed, in which: (i) an alternating current optimal power flow (AC OPF) for the distribution grid is performed; (ii) two different power tracing models (namely, the Abdelkader's and Bialek's tracing methods) are implemented and compared; and (iii) the distribution of costs through a MW-mile variant. The model is tested and validated in a 33-node distribution network considering high penetration of DER.
{"title":"Cost Allocation of Distribution Networks in the Distributed Energy Resources Era","authors":"T. Soares, M. Cruz, M. Matos","doi":"10.1109/SEST.2019.8849089","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849089","url":null,"abstract":"Increasing power injection of distributed energy resources (DER) (including prosumers) has been changing the way the distribution system is operated and managed. Thus, conventional network usage tariffs are no longer fair enough to distribute the network costs to the various system participants. Within this scope, this work studies innovative cost allocation models that fairly distribute fixed, network usage and power losses costs to all system participants. A three-stage model is designed, in which: (i) an alternating current optimal power flow (AC OPF) for the distribution grid is performed; (ii) two different power tracing models (namely, the Abdelkader's and Bialek's tracing methods) are implemented and compared; and (iii) the distribution of costs through a MW-mile variant. The model is tested and validated in a 33-node distribution network considering high penetration of DER.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131572529","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 : 2019-09-01DOI: 10.1109/SEST.2019.8848998
Pablo Báez-Gonzalez, Enrique Rodríguez-Díaz, Miguel A. Ridao Carlini, C. Bordons
This article studies the effects of the establishment of Peer-to-Peer energy (eP2P) exchange structures between end users belonging to the same microgrid (MG). A Continuous Double Auction (CDA) structure is used to allow power trading. As a case example, the electrical operation of a neighborhood of 40 houses is used, and various scenarios with different photovoltaic (PV) installation penetration levels are analyzed. Results suggest the potential benefits of the use of this type of eP2P exchange structures, which include but are not limited to: savings on electricity bills, better use of renewable sources and reduction in energy storage systems (ESS) utilization. Simultaneously, new questions raise about the business model, especially for traditional electrical distributors.
{"title":"A Power P2P Market Framework to Boost Renewable Energy Exchanges in Local Microgrids","authors":"Pablo Báez-Gonzalez, Enrique Rodríguez-Díaz, Miguel A. Ridao Carlini, C. Bordons","doi":"10.1109/SEST.2019.8848998","DOIUrl":"https://doi.org/10.1109/SEST.2019.8848998","url":null,"abstract":"This article studies the effects of the establishment of Peer-to-Peer energy (eP2P) exchange structures between end users belonging to the same microgrid (MG). A Continuous Double Auction (CDA) structure is used to allow power trading. As a case example, the electrical operation of a neighborhood of 40 houses is used, and various scenarios with different photovoltaic (PV) installation penetration levels are analyzed. Results suggest the potential benefits of the use of this type of eP2P exchange structures, which include but are not limited to: savings on electricity bills, better use of renewable sources and reduction in energy storage systems (ESS) utilization. Simultaneously, new questions raise about the business model, especially for traditional electrical distributors.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132536676","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849093
Kevin Joshi, K. Ramamritham
A solar PV-battery installation allows grid-connected electricity ‘prosumers’ to engage in peak shaving, load shifting, Demand Response programs, and other grid ancillary services through data-driven energy management. These value streams generate revenue for consumers while assisting utilities in managing the grid. Such cyber-physical systems provide impetus to create consumer-centric business models that can leverage ICT infrastructure and resulting data for deployment of energy storage devices. This can lead to the diverse use of a battery as energy storage in a community where consumers, utility, and an energy management platform or service provider act as stakeholders. However, operation, control, management, and protection of stakeholders' interest in such smart community deployment projects exhibit complex interlinkages that are both technical and administrative. Thus ensuring a sustainable and resilient community energy system (CES) requires 1) an adaptable cyber-physical system (CPS) for operational control of resources and 2) an institutional management structure to define roles and responsibilities of all the stakeholders. To this end, we present an organizational framework for a pooled battery resource sharing community of residences using the Viable Systems Model (VSM) approach. We also provide a control mechanism for sharing the pooled battery to demonstrate the application of big data and working of each system in VSM when subjected to changes in the operational environment. The proposed CES organizational framework and control mechanism based on VSM and big data respectively offer a distinct solution for technical and management complexity of a cooperative.
{"title":"Using Viable Systems Model and Big Data for Community Energy Systems","authors":"Kevin Joshi, K. Ramamritham","doi":"10.1109/SEST.2019.8849093","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849093","url":null,"abstract":"A solar PV-battery installation allows grid-connected electricity ‘prosumers’ to engage in peak shaving, load shifting, Demand Response programs, and other grid ancillary services through data-driven energy management. These value streams generate revenue for consumers while assisting utilities in managing the grid. Such cyber-physical systems provide impetus to create consumer-centric business models that can leverage ICT infrastructure and resulting data for deployment of energy storage devices. This can lead to the diverse use of a battery as energy storage in a community where consumers, utility, and an energy management platform or service provider act as stakeholders. However, operation, control, management, and protection of stakeholders' interest in such smart community deployment projects exhibit complex interlinkages that are both technical and administrative. Thus ensuring a sustainable and resilient community energy system (CES) requires 1) an adaptable cyber-physical system (CPS) for operational control of resources and 2) an institutional management structure to define roles and responsibilities of all the stakeholders. To this end, we present an organizational framework for a pooled battery resource sharing community of residences using the Viable Systems Model (VSM) approach. We also provide a control mechanism for sharing the pooled battery to demonstrate the application of big data and working of each system in VSM when subjected to changes in the operational environment. The proposed CES organizational framework and control mechanism based on VSM and big data respectively offer a distinct solution for technical and management complexity of a cooperative.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"427 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132667353","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849037
Xinyun Lu, Jianhui Wang, Zhengshuo Li, M. Yue
The importance of considering integrated transmission and distribution (T-D) system planning and operation has been increasingly recognized. Most research focuses on steady-state analysis, yet the dynamic behaviors of T-D systems have not been thoroughly studied, especially with deeper penetration of distributed energy resources (DERs) largely altering system dynamic characteristics. In this paper, we attempt to investigate the impacts of aggregate DERs on transmission side dynamic stability. Time domain simulations are performed for dynamic stability assessment. Simulation results demonstrate how the grid-connected DERs affect overall system dynamics under different scenarios. Furthermore, smart inverters with grid-support functions have also been examined via simulations to mitigate the adverse impacts on stability caused by DERs.
{"title":"Dynamic Stability Assessment for Integrated Transmission-Distribution System Considering Distributed Energy Resources","authors":"Xinyun Lu, Jianhui Wang, Zhengshuo Li, M. Yue","doi":"10.1109/SEST.2019.8849037","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849037","url":null,"abstract":"The importance of considering integrated transmission and distribution (T-D) system planning and operation has been increasingly recognized. Most research focuses on steady-state analysis, yet the dynamic behaviors of T-D systems have not been thoroughly studied, especially with deeper penetration of distributed energy resources (DERs) largely altering system dynamic characteristics. In this paper, we attempt to investigate the impacts of aggregate DERs on transmission side dynamic stability. Time domain simulations are performed for dynamic stability assessment. Simulation results demonstrate how the grid-connected DERs affect overall system dynamics under different scenarios. Furthermore, smart inverters with grid-support functions have also been examined via simulations to mitigate the adverse impacts on stability caused by DERs.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"81 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132983270","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849053
N. Fulgêncio, J. Rodrigues, C. Moreira
In this paper a real-time laboratorial experiment is presented, intended to validate a “grey-box” equivalent model for medium voltage active distribution networks with high presence of converter-connected generation, considering the latest European grid codes requirements, in response to severe faults at the transmission network side. A hybrid setup was implemented at INESC TEC's laboratory (Porto, Portugal), relying on a real-time digital simulator to provide the interface between simulation and physical assets available at the laboratory, in a power-hardware-in-the-loop configuration. The study considered the laboratory's internal network to be operating (virtually) as a medium voltage distribution network with converter-connected generation (fault ride through compliant), connected to a fully-detailed transmission network model. The aggregated reactive power response of the laboratory's network was fitted by the dynamic equivalent model, recurring to an evolutionary particle swarm optimization algorithm. The methodology adopted, testing conditions and respective results are presented.
{"title":"Experimental validation of an equivalent dynamic model for active distribution networks","authors":"N. Fulgêncio, J. Rodrigues, C. Moreira","doi":"10.1109/SEST.2019.8849053","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849053","url":null,"abstract":"In this paper a real-time laboratorial experiment is presented, intended to validate a “grey-box” equivalent model for medium voltage active distribution networks with high presence of converter-connected generation, considering the latest European grid codes requirements, in response to severe faults at the transmission network side. A hybrid setup was implemented at INESC TEC's laboratory (Porto, Portugal), relying on a real-time digital simulator to provide the interface between simulation and physical assets available at the laboratory, in a power-hardware-in-the-loop configuration. The study considered the laboratory's internal network to be operating (virtually) as a medium voltage distribution network with converter-connected generation (fault ride through compliant), connected to a fully-detailed transmission network model. The aggregated reactive power response of the laboratory's network was fitted by the dynamic equivalent model, recurring to an evolutionary particle swarm optimization algorithm. The methodology adopted, testing conditions and respective results are presented.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134015693","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849048
Armin Golla, P. Staudt, Christof Weinhardt
Global climate change and the resulting effects pose a serious threat to the international community. The average global temperature will continue to rise over the next years and extreme weather phenomena such as heat waves are more likely to occur. This creates a higher demand for cooling in many European and international geographies. The high energy consumption of air conditioners in comparison to their cooling output causes a search for an efficient solution to provide cooling for households. In this paper, we compare conventional cooling systems like compression cooling air conditioners to systems using an air conditioner supplied by an absorption chiller. Heat required by the absorption chiller is provided by a photovoltaic/thermal (PVT) panel. We conduct a simulative case study in which we compare a conventional compression cooling air conditioner with a cooling system driven by an absorption chiller that uses the heat surplus from PVT panels. Hot water from the PVT panels and cold water from the absorption chiller is distributed among participating households via a district heating and cooling network. We find that the proposed system can lead to a reduction in energy costs.
{"title":"Combining PVT Generation and Air Conditioning: A Cost Analysis of Surplus Heat Utilization","authors":"Armin Golla, P. Staudt, Christof Weinhardt","doi":"10.1109/SEST.2019.8849048","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849048","url":null,"abstract":"Global climate change and the resulting effects pose a serious threat to the international community. The average global temperature will continue to rise over the next years and extreme weather phenomena such as heat waves are more likely to occur. This creates a higher demand for cooling in many European and international geographies. The high energy consumption of air conditioners in comparison to their cooling output causes a search for an efficient solution to provide cooling for households. In this paper, we compare conventional cooling systems like compression cooling air conditioners to systems using an air conditioner supplied by an absorption chiller. Heat required by the absorption chiller is provided by a photovoltaic/thermal (PVT) panel. We conduct a simulative case study in which we compare a conventional compression cooling air conditioner with a cooling system driven by an absorption chiller that uses the heat surplus from PVT panels. Hot water from the PVT panels and cold water from the absorption chiller is distributed among participating households via a district heating and cooling network. We find that the proposed system can lead to a reduction in energy costs.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130315326","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849151
Daniele Carta, P. Pegoraro, S. Sulis, M. Pau, F. Ponci, A. Monti
The accurate location of faults through smart algorithms is an essential requirement for grid operators to apply automation schemes aimed at promptly isolating the fault and at restoring the power supply in non-faulty segments of the network. In the distribution system, this task is particularly challenging mainly due to the large size of the network and the low number of measurement devices deployed on the field. In such a scenario, ad-hoc techniques need to be used to have fault location algorithms able to provide reliable results based on the limited amount of available information. This work presents a fault location algorithm based on the use of compressive sensing techniques. Differently from the previous literature on this topic, this paper proposes a procedure that allows the location of faults occurring also at the branches of the distribution grid, and not only on its nodes. The paper describes the mathematical model behind the conceived algorithm and presents tests on a sample distribution grid to show the potential fault location performance.
{"title":"A Compressive Sensing Approach for Fault Location in Distribution Grid Branches","authors":"Daniele Carta, P. Pegoraro, S. Sulis, M. Pau, F. Ponci, A. Monti","doi":"10.1109/SEST.2019.8849151","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849151","url":null,"abstract":"The accurate location of faults through smart algorithms is an essential requirement for grid operators to apply automation schemes aimed at promptly isolating the fault and at restoring the power supply in non-faulty segments of the network. In the distribution system, this task is particularly challenging mainly due to the large size of the network and the low number of measurement devices deployed on the field. In such a scenario, ad-hoc techniques need to be used to have fault location algorithms able to provide reliable results based on the limited amount of available information. This work presents a fault location algorithm based on the use of compressive sensing techniques. Differently from the previous literature on this topic, this paper proposes a procedure that allows the location of faults occurring also at the branches of the distribution grid, and not only on its nodes. The paper describes the mathematical model behind the conceived algorithm and presents tests on a sample distribution grid to show the potential fault location performance.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134132086","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849046
T. Sousa, V. Monteiro, J. S. Martins, M. Sepulveda, A. Lima, J. Afonso
This paper presents a comparative analysis of power electronics topologies that can be used to interface dc homes with a 230 V, 50 Hz ac power grid. Dc homes represent an essential asset for smart grids, since energy storage systems and renewable energy sources, such as photovoltaic solar panels, operate in dc, as well as most of the electrical appliances used in domestic scenario. However, since the power grid operates in ac, it is necessary to convert voltage from ac to dc to properly supply a dc home. This conversion can be accomplished in several ways, with different power conversion stages. In this context, this paper analyzes three different possibilities that can be used to perform the interface between the ac power grid and a dc home: (1) ac-dc converter using a low frequency transformer; (2) ac-dc and dc-dc converters using a high frequency transformer; (3) ac-ac and ac-dc converters using a medium frequency transformer. These three possibilities are compared in terms of efficiency, total power factor and total harmonic distortion of the ac power grid. The results were obtained by means of a simulation model based on the internal parameters of the power semiconductors.
{"title":"Comparative Analysis of Power Electronics Topologies to Interface dc Homes with the Electrical ac Power Grid","authors":"T. Sousa, V. Monteiro, J. S. Martins, M. Sepulveda, A. Lima, J. Afonso","doi":"10.1109/SEST.2019.8849046","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849046","url":null,"abstract":"This paper presents a comparative analysis of power electronics topologies that can be used to interface dc homes with a 230 V, 50 Hz ac power grid. Dc homes represent an essential asset for smart grids, since energy storage systems and renewable energy sources, such as photovoltaic solar panels, operate in dc, as well as most of the electrical appliances used in domestic scenario. However, since the power grid operates in ac, it is necessary to convert voltage from ac to dc to properly supply a dc home. This conversion can be accomplished in several ways, with different power conversion stages. In this context, this paper analyzes three different possibilities that can be used to perform the interface between the ac power grid and a dc home: (1) ac-dc converter using a low frequency transformer; (2) ac-dc and dc-dc converters using a high frequency transformer; (3) ac-ac and ac-dc converters using a medium frequency transformer. These three possibilities are compared in terms of efficiency, total power factor and total harmonic distortion of the ac power grid. The results were obtained by means of a simulation model based on the internal parameters of the power semiconductors.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134628622","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849042
Samrat Acharya, Fatama Alshehhi, Alexandros Tsoupos, Omair Khan, M. Elmoursi, V. Khadkikar, H. Zeineldin, M. Al Hosani
The launch of small satellites (also known as CubeSats) has been exponentially increasing in academia and industry since the last decade. The Electrical Power Subsystem (EPS) plays a critical role to ensure a reliable and sustained operation of CubeSats. Primarily, the EPS consists of solar cells, battery, converters and power management boards. Simulating the operation of EPS before launch of a satellite is critical in proving design and developed controllers. In this paper, we provide a simulation model of EPS for simulation in MATLAB/Simulink. An EPS system with a payload consisting of an earth image capturing camera is modeled using switching converters, PV cell model and intrinsic Simulink battery model to investigate control dynamics in detail. The EPS dynamics are studied during the transition of an operational mode of CubeSat and the impact of maximum power point tracking (MPPT) of PV array on battery is also analyzed.
{"title":"Modeling and Design of Electrical Power Subsystem for CubeSats","authors":"Samrat Acharya, Fatama Alshehhi, Alexandros Tsoupos, Omair Khan, M. Elmoursi, V. Khadkikar, H. Zeineldin, M. Al Hosani","doi":"10.1109/SEST.2019.8849042","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849042","url":null,"abstract":"The launch of small satellites (also known as CubeSats) has been exponentially increasing in academia and industry since the last decade. The Electrical Power Subsystem (EPS) plays a critical role to ensure a reliable and sustained operation of CubeSats. Primarily, the EPS consists of solar cells, battery, converters and power management boards. Simulating the operation of EPS before launch of a satellite is critical in proving design and developed controllers. In this paper, we provide a simulation model of EPS for simulation in MATLAB/Simulink. An EPS system with a payload consisting of an earth image capturing camera is modeled using switching converters, PV cell model and intrinsic Simulink battery model to investigate control dynamics in detail. The EPS dynamics are studied during the transition of an operational mode of CubeSat and the impact of maximum power point tracking (MPPT) of PV array on battery is also analyzed.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"59 32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131809424","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：