Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384957
J. Das
Biofuels which are derived from microalgae can be considered as a substitute for fossil and petroleum fuels in the near future. The dependence and viability of microalgal based fuels is highly dependent on the sustainability and environmental impacts of microalgae to biofuel conversion process in terms of energy analysis and Greenhouse gas emissions. Life Cycle Assessment (LCA) has been considered as a tool to evaluate the sustainability of any system. LCA is done pertaining to the system boundaries, life cycle inventories, process efficiencies and the functional units of the system. Life cycle energy analysis (LCEA) evaluates the overall energy input to the system and the useful output. The paper presents life cycle energy analysis of a micro algal based bioreactor set up at Forbes Marshall's lab at IIT Bombay. This study proposes a detailed engineering model for the species Chlorella Vulgaris used in the bioreactor. The paper aims at the evaluation of Net Energy Ratio (NER) of oil and biodiesel production. There has been an effort to compare life cycle GHG emissions in a vehicle technology with and without a mix of biodiesel with the conventional fuel.
{"title":"Life Cycle Energy Analysis of a Microalgal Based Bioreactor","authors":"J. Das","doi":"10.1109/TPEC51183.2021.9384957","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384957","url":null,"abstract":"Biofuels which are derived from microalgae can be considered as a substitute for fossil and petroleum fuels in the near future. The dependence and viability of microalgal based fuels is highly dependent on the sustainability and environmental impacts of microalgae to biofuel conversion process in terms of energy analysis and Greenhouse gas emissions. Life Cycle Assessment (LCA) has been considered as a tool to evaluate the sustainability of any system. LCA is done pertaining to the system boundaries, life cycle inventories, process efficiencies and the functional units of the system. Life cycle energy analysis (LCEA) evaluates the overall energy input to the system and the useful output. The paper presents life cycle energy analysis of a micro algal based bioreactor set up at Forbes Marshall's lab at IIT Bombay. This study proposes a detailed engineering model for the species Chlorella Vulgaris used in the bioreactor. The paper aims at the evaluation of Net Energy Ratio (NER) of oil and biodiesel production. There has been an effort to compare life cycle GHG emissions in a vehicle technology with and without a mix of biodiesel with the conventional fuel.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116398261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384927
Mukesh Gautam, H. Livani, M. Benidris, V. Sarfi
In this paper, a new approach is proposed to solve a multi-objective economic-emission scheduling problem in microgrids (MGs) by simultaneously minimizing the energy and emission costs of the MG with various distributed energy resources (DERs). The proposed approach is an extension of a computationally effective multiobjective optimization technique, Pareto concavity elimination transformation (PaCcET). The proposed approach, referred to as Fuzzified-PaCcET, employs a fuzzy logic controller to dynamically revise crossover and mutation rates in the original PaCcET leading to the faster convergence of the solution. The proposed approach finds the best Pareto front, also referred to as a Non-dominated set (NDS) of solutions, instead of finding a single optimal solution. In order to find the solutions on concave areas of the Pareto front, an iterative objective space transformation is performed in the PaCcET algorithm to allow a linear combination of objective functions (in the transformed objective space). The proposed Fuzzified-PaCcET-based scheduling is implemented on a MG with various dispatchable and non-dispatchable DERs to find the set of optimal solutions according to the total fuel cost of DERs, as well as the most optimum environmental cost. In order to extract the best compromise solution (BCS) among NDS of solutions, a fuzzy-based method is implemented. The comparison of the simulation results of the Fuzzified-PaCcET with that of PaCcET shows that Fuzzified-PaCcET can generate better solution with less computational burden.
{"title":"Fuzzified PaCcET for Economic-Emission Scheduling of Microgrids","authors":"Mukesh Gautam, H. Livani, M. Benidris, V. Sarfi","doi":"10.1109/TPEC51183.2021.9384927","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384927","url":null,"abstract":"In this paper, a new approach is proposed to solve a multi-objective economic-emission scheduling problem in microgrids (MGs) by simultaneously minimizing the energy and emission costs of the MG with various distributed energy resources (DERs). The proposed approach is an extension of a computationally effective multiobjective optimization technique, Pareto concavity elimination transformation (PaCcET). The proposed approach, referred to as Fuzzified-PaCcET, employs a fuzzy logic controller to dynamically revise crossover and mutation rates in the original PaCcET leading to the faster convergence of the solution. The proposed approach finds the best Pareto front, also referred to as a Non-dominated set (NDS) of solutions, instead of finding a single optimal solution. In order to find the solutions on concave areas of the Pareto front, an iterative objective space transformation is performed in the PaCcET algorithm to allow a linear combination of objective functions (in the transformed objective space). The proposed Fuzzified-PaCcET-based scheduling is implemented on a MG with various dispatchable and non-dispatchable DERs to find the set of optimal solutions according to the total fuel cost of DERs, as well as the most optimum environmental cost. In order to extract the best compromise solution (BCS) among NDS of solutions, a fuzzy-based method is implemented. The comparison of the simulation results of the Fuzzified-PaCcET with that of PaCcET shows that Fuzzified-PaCcET can generate better solution with less computational burden.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117243458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384967
K. Kumar, S. Raghavendran, A. Kirubakaran, Umashankar Subramaniam
In this paper a novel single-phase two-stage five-level asymmetrical filter inductor based transformerless inverter is proposed for the multi-string photovoltaic (PV) applications. The multi-output boost converter is developed with resonant soft-switching circuit to obtain either zero current switching (ZCS) or zero voltage switching (ZVS) during turn-on and turn-off of the both main and auxiliary switches. The six switch asymmetrical filter inductor based five-level inverter eliminates the high-frequency oscillations in the common mode voltage (CMV). Consequently, the flow of leakage current magnitude from the grid to PV panels is reduced significantly without the use of an isolation transformer. Moreover, the improved modulation scheme enhances the inverter operation in all the operating power factor conditions of the grid. Further, the integration of the soft-switched multi-output boost converter and five-level inverter at reduced power losses increases the overall efficiency and reliability of the multi-string PV systems. Simulation studies are carried-out in the PSIM and MATLAB platforms to validate operation of the proposed concept.
{"title":"Single-Phase Five-level Transformerless Inverter for Multi-String Photovoltaic Applications","authors":"K. Kumar, S. Raghavendran, A. Kirubakaran, Umashankar Subramaniam","doi":"10.1109/TPEC51183.2021.9384967","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384967","url":null,"abstract":"In this paper a novel single-phase two-stage five-level asymmetrical filter inductor based transformerless inverter is proposed for the multi-string photovoltaic (PV) applications. The multi-output boost converter is developed with resonant soft-switching circuit to obtain either zero current switching (ZCS) or zero voltage switching (ZVS) during turn-on and turn-off of the both main and auxiliary switches. The six switch asymmetrical filter inductor based five-level inverter eliminates the high-frequency oscillations in the common mode voltage (CMV). Consequently, the flow of leakage current magnitude from the grid to PV panels is reduced significantly without the use of an isolation transformer. Moreover, the improved modulation scheme enhances the inverter operation in all the operating power factor conditions of the grid. Further, the integration of the soft-switched multi-output boost converter and five-level inverter at reduced power losses increases the overall efficiency and reliability of the multi-string PV systems. Simulation studies are carried-out in the PSIM and MATLAB platforms to validate operation of the proposed concept.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130833739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384937
Jubair Yusuf, A. Hasan, S. Ula
Plug-in Electric Vehicles (PEVs) are becoming popular for their capabilities of reducing carbon emission. It's ability to act as a storage to provide power back to the grid while discharging can contribute to managing critical events. Critical Peak Pricing (CPP) events are some unpredictable events in which grid operators can be benefitted from consumer load control action behind the meter. This paper investigates the opportunity of electric vehicles' participation during any CPP event by activating vehicle to grid (V2G) mode of operation. A novel framework is developed to make vehicle to grid (V2G) operation efficient with a goal of reducing the overall cost for any EV owning consumer behind the meter. A Mixed Integer Linear Programming (MILP) problem is formulated and solved to reduce the energy cost for a small commercial building that has two on-site PEVs. A range of pricing is modeled to show the effectiveness of this strategy along with all the usual constraints. The financial benefits of both the consumer and the utility operator are also discussed for this CPP handling strategy.
{"title":"Impacts Analysis & Field Implementation of Plug-in Electric Vehicles Participation in Demand Response and Critical Peak Pricing for Commercial Buildings","authors":"Jubair Yusuf, A. Hasan, S. Ula","doi":"10.1109/TPEC51183.2021.9384937","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384937","url":null,"abstract":"Plug-in Electric Vehicles (PEVs) are becoming popular for their capabilities of reducing carbon emission. It's ability to act as a storage to provide power back to the grid while discharging can contribute to managing critical events. Critical Peak Pricing (CPP) events are some unpredictable events in which grid operators can be benefitted from consumer load control action behind the meter. This paper investigates the opportunity of electric vehicles' participation during any CPP event by activating vehicle to grid (V2G) mode of operation. A novel framework is developed to make vehicle to grid (V2G) operation efficient with a goal of reducing the overall cost for any EV owning consumer behind the meter. A Mixed Integer Linear Programming (MILP) problem is formulated and solved to reduce the energy cost for a small commercial building that has two on-site PEVs. A range of pricing is modeled to show the effectiveness of this strategy along with all the usual constraints. The financial benefits of both the consumer and the utility operator are also discussed for this CPP handling strategy.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116233653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384979
M. Mahmud, H. Pota
A nonlinear partial feedback linearizing controller is proposed in this paper for a DC microgrid connected DC-DC boost voltage source converter. The characteristics model of the DC-DC converter is developed considering transmission line losses and dynamics. A conventional PD controller and a robust H∞controller is designed for a partially linearized model of the DC microgrid connected DC-DC voltage source converter system. The performance of the PD and the H∞controller are investigated for partial feedback linearized model of the proposed system under load change at common DC-bus in the microgrid.
{"title":"Robust Feedback Linearizing Controller Design for DC Microgrid Connected DC-DC Converter","authors":"M. Mahmud, H. Pota","doi":"10.1109/TPEC51183.2021.9384979","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384979","url":null,"abstract":"A nonlinear partial feedback linearizing controller is proposed in this paper for a DC microgrid connected DC-DC boost voltage source converter. The characteristics model of the DC-DC converter is developed considering transmission line losses and dynamics. A conventional PD controller and a robust H∞controller is designed for a partially linearized model of the DC microgrid connected DC-DC voltage source converter system. The performance of the PD and the H∞controller are investigated for partial feedback linearized model of the proposed system under load change at common DC-bus in the microgrid.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116682617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384909
Gandluri Parameswarreddy, K. S. Pavan, E. Skariah, S. K
Environmental, medical and several other applications use non-thermal plasma (NTP) as a medium for sterilization’ gas cleaning, water treatment, etc. This technology which is in the budding stage in a few domains has the advantage of operating at ambient atmospheric conditions with high efficiency. High voltages are used for initiating and sustaining such plasma conditions in closed reactors and it has been observed that pulsed high voltage power enables better plasma characteristics. A portable high voltage variable pulsed power source fed from a 12V battery is designed and fabricated for non-thermal plasma generation in this work. A modified rotary spark gap (RSG) arrangement was designed and developed for converting high voltage DC into pulsed waveforms. Control techniques were implemented to attain varying pulse amplitudes and repetition rates. High voltage pulse wave shapes were obtained and compared with the conventional RSG outputs. The pulsed power source was found to be robust and economical for use in small and medium scale low power non-thermal plasma devices.
{"title":"Design and Development of a Portable High Voltage Variable Pulsed Power Source using Flyback Converter and Rotary Spark Gap from a 12V Battery","authors":"Gandluri Parameswarreddy, K. S. Pavan, E. Skariah, S. K","doi":"10.1109/TPEC51183.2021.9384909","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384909","url":null,"abstract":"Environmental, medical and several other applications use non-thermal plasma (NTP) as a medium for sterilization’ gas cleaning, water treatment, etc. This technology which is in the budding stage in a few domains has the advantage of operating at ambient atmospheric conditions with high efficiency. High voltages are used for initiating and sustaining such plasma conditions in closed reactors and it has been observed that pulsed high voltage power enables better plasma characteristics. A portable high voltage variable pulsed power source fed from a 12V battery is designed and fabricated for non-thermal plasma generation in this work. A modified rotary spark gap (RSG) arrangement was designed and developed for converting high voltage DC into pulsed waveforms. Control techniques were implemented to attain varying pulse amplitudes and repetition rates. High voltage pulse wave shapes were obtained and compared with the conventional RSG outputs. The pulsed power source was found to be robust and economical for use in small and medium scale low power non-thermal plasma devices.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114054573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384958
Aidana Kalakova, Arlan Zhanatbekov, Arkhat Surash, H. Kumar Nunna, S. Doolla
This work proposes the use of blockchain technology to create a Decentralized Transactive Energy platform for Peer-to-Peer Energy Trading without authorized third-party agents. The distributed double auction mechanism is used in the proposed model as it enables every peer in the system to become an auctioneer, where the blockchain component will eliminate the single point of attack and guarantee the legal actions of all peers with the secure process of transactions. The main contribution of the paper is the combined use of Demand Response with a Decentralized Network. By considering optimal prosumer scheduling in the system, both preferences and needs of the peers in the network will be maximized. Experimental testing of the proposed strategy shows quick convergence of the decentralized auction, loss minimization caused by long transmission, improved security, and efficiency of the system.
{"title":"Blockchain-based Decentralized Transactive Energy Auction Model with Demand Response","authors":"Aidana Kalakova, Arlan Zhanatbekov, Arkhat Surash, H. Kumar Nunna, S. Doolla","doi":"10.1109/TPEC51183.2021.9384958","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384958","url":null,"abstract":"This work proposes the use of blockchain technology to create a Decentralized Transactive Energy platform for Peer-to-Peer Energy Trading without authorized third-party agents. The distributed double auction mechanism is used in the proposed model as it enables every peer in the system to become an auctioneer, where the blockchain component will eliminate the single point of attack and guarantee the legal actions of all peers with the secure process of transactions. The main contribution of the paper is the combined use of Demand Response with a Decentralized Network. By considering optimal prosumer scheduling in the system, both preferences and needs of the peers in the network will be maximized. Experimental testing of the proposed strategy shows quick convergence of the decentralized auction, loss minimization caused by long transmission, improved security, and efficiency of the system.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122625285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384933
A. Sahu, K. Davis
Updating the structure of attack graph templates based on real-time alerts from Intrusion Detection Systems (IDS), in an Industrial Control System (ICS) network, is currently done manually by security experts. But, a highly-connected smart power systems, that can inadvertently expose numerous vulnerabilities to intruders for targeting grid resilience, needs automatic fast updates on learning attack graph structures, instead of manual intervention, to enable fast isolation of compromised network to secure the grid. Hence, in this work, we develop a technique to first construct a prior Bayesian Attack Graph (BAG) based on a predefined threat model and a synthetic communication network for a cyber-physical power system. Further, we evaluate a few score-based and constraint-based structural learning algorithms to update the BAG structure based on real-time alerts, based on scalability, data dependency, time complexity and accuracy criteria.
{"title":"Structural Learning Techniques for Bayesian Attack Graphs in Cyber Physical Power Systems","authors":"A. Sahu, K. Davis","doi":"10.1109/TPEC51183.2021.9384933","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384933","url":null,"abstract":"Updating the structure of attack graph templates based on real-time alerts from Intrusion Detection Systems (IDS), in an Industrial Control System (ICS) network, is currently done manually by security experts. But, a highly-connected smart power systems, that can inadvertently expose numerous vulnerabilities to intruders for targeting grid resilience, needs automatic fast updates on learning attack graph structures, instead of manual intervention, to enable fast isolation of compromised network to secure the grid. Hence, in this work, we develop a technique to first construct a prior Bayesian Attack Graph (BAG) based on a predefined threat model and a synthetic communication network for a cyber-physical power system. Further, we evaluate a few score-based and constraint-based structural learning algorithms to update the BAG structure based on real-time alerts, based on scalability, data dependency, time complexity and accuracy criteria.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122663396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384994
Reza Habibifar, M. Khoshjahan, Vahid Sabzpoosh Saravi, M. Kalantar
Growing interest in the intermittent renewable energy sources may jeopardize the flexibility of power systems. In order to improve the flexibility of modern power systems, the surplus electricity generated by renewable sources can be deployed into several carriers, such as natural gas and heating energy via power-to-gas (PtG) and power-to-heat (PtH) technologies. This paper proposes an optimal daily energy management model of residential energy hubs integrated with power-to-X technologies. The proposed energy hub is incorporated with PtG, PtH, combined heat and power (CHP) facilities, and thermal storage to meet the required electrical, gas, and heating demands. In order to capture the electricity price fluctuations, a robust optimization model is utilized which enables controlling the robustness level in the proposed scheduling model. The model is implemented in different residential energy hub test cases and the numerical results demonstrate the effectiveness of the proposed model in terms of the operating cost minimization and reliable operation.
{"title":"Robust Energy Management of Residential Energy Hubs Integrated with Power-to-X Technology","authors":"Reza Habibifar, M. Khoshjahan, Vahid Sabzpoosh Saravi, M. Kalantar","doi":"10.1109/TPEC51183.2021.9384994","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384994","url":null,"abstract":"Growing interest in the intermittent renewable energy sources may jeopardize the flexibility of power systems. In order to improve the flexibility of modern power systems, the surplus electricity generated by renewable sources can be deployed into several carriers, such as natural gas and heating energy via power-to-gas (PtG) and power-to-heat (PtH) technologies. This paper proposes an optimal daily energy management model of residential energy hubs integrated with power-to-X technologies. The proposed energy hub is incorporated with PtG, PtH, combined heat and power (CHP) facilities, and thermal storage to meet the required electrical, gas, and heating demands. In order to capture the electricity price fluctuations, a robust optimization model is utilized which enables controlling the robustness level in the proposed scheduling model. The model is implemented in different residential energy hub test cases and the numerical results demonstrate the effectiveness of the proposed model in terms of the operating cost minimization and reliable operation.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130182586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384928
Xinlan Jia, Prottay M. Adhikari, L. Vanfretti
Today's power generation fleet is becoming more diversified, including both traditional energy sources and a variety of renewable energy sources. To help operate such a wide variety of energy sources reliably and in harmony, Energy Storage Systems (ESS) provide an alternative that offers a high degree of flexibility. To understand their behaviour and exploit their flexibility, modeling and simulation of ESSs is crucial in using the ESSs to solve the challenges introduced by the increased usage of photo-voltaic, wind, and other renewable energy sources. Most industrial energy storage systems use batteries as the primary energy storage device. This paper reports a simplified model for the Li-ion batteries, which can calculate the state-of-charge (SOC) and output terminal voltage, while still meeting real-time modeling constraints of different hardware platforms. To test the model's validity, its outputs for both charging and discharging modes were compared with those of an existing battery model. The accuracy and performance of the proposed model was analyzed in two different real-time hardware architectures- (i) OPAL-RT OP4520/5030 and (ii) Typhoon HIL 603.
今天的发电机队正变得越来越多样化，既包括传统能源，也包括各种可再生能源。为了帮助可靠、和谐地运行各种各样的能源，储能系统(ESS)提供了一种高度灵活的替代方案。为了了解它们的行为并利用它们的灵活性，使用ESSs来解决光伏、风能和其他可再生能源使用增加所带来的挑战，ESSs的建模和模拟至关重要。大多数工业储能系统使用电池作为主要的储能装置。本文报道了一个简化的锂离子电池模型，该模型可以计算荷电状态(SOC)和输出端电压，同时满足不同硬件平台的实时建模约束。为了验证该模型的有效性，将其在充电和放电模式下的输出与现有电池模型的输出进行了比较。在两种不同的实时硬件架构(i) OPAL-RT OP4520/5030和(ii) Typhoon HIL 603中分析了所提出模型的准确性和性能。
{"title":"Cross-Platform Real-Time Simulation Models for Li-ion Batteries in Opal-RT and Typhoon-HIL","authors":"Xinlan Jia, Prottay M. Adhikari, L. Vanfretti","doi":"10.1109/TPEC51183.2021.9384928","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384928","url":null,"abstract":"Today's power generation fleet is becoming more diversified, including both traditional energy sources and a variety of renewable energy sources. To help operate such a wide variety of energy sources reliably and in harmony, Energy Storage Systems (ESS) provide an alternative that offers a high degree of flexibility. To understand their behaviour and exploit their flexibility, modeling and simulation of ESSs is crucial in using the ESSs to solve the challenges introduced by the increased usage of photo-voltaic, wind, and other renewable energy sources. Most industrial energy storage systems use batteries as the primary energy storage device. This paper reports a simplified model for the Li-ion batteries, which can calculate the state-of-charge (SOC) and output terminal voltage, while still meeting real-time modeling constraints of different hardware platforms. To test the model's validity, its outputs for both charging and discharging modes were compared with those of an existing battery model. The accuracy and performance of the proposed model was analyzed in two different real-time hardware architectures- (i) OPAL-RT OP4520/5030 and (ii) Typhoon HIL 603.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124790456","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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