Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281674
Mohammad Ekramul Kabir, Ibrahim Sorkhoh, Bassam Moussa, C. Assi
Ameliorating the range anxiety to propel the disparaged electric vehicle (EV) market necessitates an adequate charging infrastructure. But, the high initial installation cost, requirement of suitable places and the anticipated immense load on the grid during peak time hinder to elongate the charging station network, especially in urban areas. As a consequence, the bidirectional energy transferring capability between vehicle to vehicle (V2V) may act as an auxiliary solution to charge an EV at any place and at any time without leaning on a permanent charging infrastructure. Here in this work, we assume a company having a number of V2V enabled charging trucks equipped with a larger battery and a fast charger to charge a number of EVs at some particular parking lots. The company intends to maximize the served number EVs, when an EV should be considered as served if it would be fully charged during its declared charging window. All the charging requests are assumed to be received before the time horizon and we also consider that all trucks should return to the depot after serving EVs. We formulate an integer linear program (ILP) to maximize the number of served EVs by determining the optimal trajectory of each truck. The problem is formally proved as NP-hard and due to its larger computational time, we also propose three different heuristic algorithms: 1) Strictest Window Shortest Path First (SWSPF), 2) Smallest Demand Shortest Path First (SDSPF) and 3) Earliest Arrival Shortest Path First (EASPF). The performance of these three algorithms are examined in detail and finally, SDSPF shows the better performance and its performance is closer to the optimal solution.
{"title":"Routing and Scheduling of Mobile EV Chargers for Vehicle to Vehicle (V2V) Energy Transfer","authors":"Mohammad Ekramul Kabir, Ibrahim Sorkhoh, Bassam Moussa, C. Assi","doi":"10.1109/PESGM41954.2020.9281674","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281674","url":null,"abstract":"Ameliorating the range anxiety to propel the disparaged electric vehicle (EV) market necessitates an adequate charging infrastructure. But, the high initial installation cost, requirement of suitable places and the anticipated immense load on the grid during peak time hinder to elongate the charging station network, especially in urban areas. As a consequence, the bidirectional energy transferring capability between vehicle to vehicle (V2V) may act as an auxiliary solution to charge an EV at any place and at any time without leaning on a permanent charging infrastructure. Here in this work, we assume a company having a number of V2V enabled charging trucks equipped with a larger battery and a fast charger to charge a number of EVs at some particular parking lots. The company intends to maximize the served number EVs, when an EV should be considered as served if it would be fully charged during its declared charging window. All the charging requests are assumed to be received before the time horizon and we also consider that all trucks should return to the depot after serving EVs. We formulate an integer linear program (ILP) to maximize the number of served EVs by determining the optimal trajectory of each truck. The problem is formally proved as NP-hard and due to its larger computational time, we also propose three different heuristic algorithms: 1) Strictest Window Shortest Path First (SWSPF), 2) Smallest Demand Shortest Path First (SDSPF) and 3) Earliest Arrival Shortest Path First (EASPF). The performance of these three algorithms are examined in detail and finally, SDSPF shows the better performance and its performance is closer to the optimal solution.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115560979","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 : 2020-08-02DOI: 10.1109/PESGM41954.2020.9282127
John B. O’Raw, D. McFadden, D. Laverty, D. Morrow
Computing devices are required to have time synchronization to enable meaningful logging, fault finding, and forensics. In an automation environment, there are additional requirements for SCADA. In a power environment there are specific requirements and the accuracy requirements are exacting. The solutions used in substations may be excessively complex and expensive for small distributed generation sites and roadside cabinets. A solution is identified for sites in the absence of network connectivity, which is inexpensive, highly available, and includes detection of component failure and attack.
{"title":"Economical and Dependable Time Sources for Distributed Energy Resources","authors":"John B. O’Raw, D. McFadden, D. Laverty, D. Morrow","doi":"10.1109/PESGM41954.2020.9282127","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9282127","url":null,"abstract":"Computing devices are required to have time synchronization to enable meaningful logging, fault finding, and forensics. In an automation environment, there are additional requirements for SCADA. In a power environment there are specific requirements and the accuracy requirements are exacting. The solutions used in substations may be excessively complex and expensive for small distributed generation sites and roadside cabinets. A solution is identified for sites in the absence of network connectivity, which is inexpensive, highly available, and includes detection of component failure and attack.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116032983","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 : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281441
Xiaoyuan Fan, U. Agrawal, S. Davis, James O'Brien, P. Etingov, Tony B. Nguyen, Y. Makarov, N. Samaan
Protection equipment modeling is critical to power systems planning and operational studies; it enables more accurate system response when control actions, including protection relays and remedial action schemes (RASs), are adequately modeled and assessed. This paper incorporates a generic protection philosophy in the Dynamic Contingency Analysis Tool (DCAT), and demonstrates its effectiveness by modeling 2011 Pacific Southwest Blackout event autonomously.
{"title":"Bulk Electric System Protection Model Demonstration with 2011 Southwest Blackout in DCAT","authors":"Xiaoyuan Fan, U. Agrawal, S. Davis, James O'Brien, P. Etingov, Tony B. Nguyen, Y. Makarov, N. Samaan","doi":"10.1109/PESGM41954.2020.9281441","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281441","url":null,"abstract":"Protection equipment modeling is critical to power systems planning and operational studies; it enables more accurate system response when control actions, including protection relays and remedial action schemes (RASs), are adequately modeled and assessed. This paper incorporates a generic protection philosophy in the Dynamic Contingency Analysis Tool (DCAT), and demonstrates its effectiveness by modeling 2011 Pacific Southwest Blackout event autonomously.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116049340","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 : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281598
Tong Duan, V. Dinavahi
Transmission lines and rotating machines that widely exist in power systems should be accurately modeled in real-time electromagnetic transient (EMT) simulation for obtaining precise results for hardware-in-the-loop (HIL) applications. In the conventional EMT simulator, the time-step is fixed, which may lead to inefficiencies when the time constants of the system change. The adaptive time-stepping (ATS) method can efficaciously solve this problem; however, the ATS schemes for the universal transmission line model (ULM) and universal machine (UM) model remain to be investigated. This work derives the ATS models for ULM and UM, and the proposed ULM model is more stable than the traditional model. Both ATS models are emulated on the parallel and pipelined architecture of the FPGA. The proposed subsystem-based ATS scheme and the local truncation error (LTE) based time-step control enable the large-scale systems to be simulated in real-time and “faster-than-real-time” modes. The IEEE 39-bus system with ATS models was emulated on two interconnected FPGA boards, and the emulation results compared with PSCAD/EMTDC and fixed time-stepping (FTS) hardware emulator verified the effectiveness of the proposed models and showed that the LTE of ULM and UM can be reduced by 76.5% and 62.0% respectively compared with the FTS simulation.
{"title":"Adaptive Time-Stepping Universal Line and Machine Models for Real-Time and Faster-Than-Real-Time Hardware Emulation","authors":"Tong Duan, V. Dinavahi","doi":"10.1109/PESGM41954.2020.9281598","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281598","url":null,"abstract":"Transmission lines and rotating machines that widely exist in power systems should be accurately modeled in real-time electromagnetic transient (EMT) simulation for obtaining precise results for hardware-in-the-loop (HIL) applications. In the conventional EMT simulator, the time-step is fixed, which may lead to inefficiencies when the time constants of the system change. The adaptive time-stepping (ATS) method can efficaciously solve this problem; however, the ATS schemes for the universal transmission line model (ULM) and universal machine (UM) model remain to be investigated. This work derives the ATS models for ULM and UM, and the proposed ULM model is more stable than the traditional model. Both ATS models are emulated on the parallel and pipelined architecture of the FPGA. The proposed subsystem-based ATS scheme and the local truncation error (LTE) based time-step control enable the large-scale systems to be simulated in real-time and “faster-than-real-time” modes. The IEEE 39-bus system with ATS models was emulated on two interconnected FPGA boards, and the emulation results compared with PSCAD/EMTDC and fixed time-stepping (FTS) hardware emulator verified the effectiveness of the proposed models and showed that the LTE of ULM and UM can be reduced by 76.5% and 62.0% respectively compared with the FTS simulation.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116106307","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 : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281668
Ruiyuan Zhang, Hui Ma, T. Saha, Xiaofang Zhou
In nowcasting of photovoltaic (PV) output, all-sky images can be utilized as an exogenous data input to improve the accuracy of the prediction. In this paper, we first investigate the correlations between sky images and power outputs of three different types of PV panel installations: fixed array, single-axis tracking array, and dual-axis tracking array. This has not been sufficiently addressed in the literature. Based on the correlation analysis, we conduct an image processing-based PV output nowcasting. Instead of directly using the original sky images as input of convolutional neural network (CNN) to learn features, we propose a pre-processing step to extract the statistical features embedded in the sky images. Then PV output prediction is implemented by a recurrent neural network (RNN)-based model. The experiments results show that the proposed light-weighted deep learning model can attain a promising forecast accuracy.
{"title":"On Sky Imaging Analysis and Deep Learning for Photovoltaic Output Nowcasting","authors":"Ruiyuan Zhang, Hui Ma, T. Saha, Xiaofang Zhou","doi":"10.1109/PESGM41954.2020.9281668","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281668","url":null,"abstract":"In nowcasting of photovoltaic (PV) output, all-sky images can be utilized as an exogenous data input to improve the accuracy of the prediction. In this paper, we first investigate the correlations between sky images and power outputs of three different types of PV panel installations: fixed array, single-axis tracking array, and dual-axis tracking array. This has not been sufficiently addressed in the literature. Based on the correlation analysis, we conduct an image processing-based PV output nowcasting. Instead of directly using the original sky images as input of convolutional neural network (CNN) to learn features, we propose a pre-processing step to extract the statistical features embedded in the sky images. Then PV output prediction is implemented by a recurrent neural network (RNN)-based model. The experiments results show that the proposed light-weighted deep learning model can attain a promising forecast accuracy.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116129998","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 : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281539
Seyed Masoud Mohseni‐Bonab, I. Kamwa, A. Moeini, A. Rabiee
Due to environmental impacts and high cost of transmission network expansion, power systems are loaded closer to their limits, which increases their vulnerability and possible blackouts. In this paper, the recent literature in the steady-state vulnerability assessment (SSVA) and dynamic vulnerability assessment (DVA) are classified and reviewed. After finding the research gaps arising from the current literature review, several systematic ideas are presented in terms of designing a modular framework with a generalized index to determine the vulnerable areas of system, integrated T&D system vulnerability assessment, and vulnerability of PMUs to cyber-attacks.
{"title":"Vulnerability Assessment in Power Systems: A Review and Representing Novel Perspectives","authors":"Seyed Masoud Mohseni‐Bonab, I. Kamwa, A. Moeini, A. Rabiee","doi":"10.1109/PESGM41954.2020.9281539","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281539","url":null,"abstract":"Due to environmental impacts and high cost of transmission network expansion, power systems are loaded closer to their limits, which increases their vulnerability and possible blackouts. In this paper, the recent literature in the steady-state vulnerability assessment (SSVA) and dynamic vulnerability assessment (DVA) are classified and reviewed. After finding the research gaps arising from the current literature review, several systematic ideas are presented in terms of designing a modular framework with a generalized index to determine the vulnerable areas of system, integrated T&D system vulnerability assessment, and vulnerability of PMUs to cyber-attacks.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116150251","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 : 2020-08-02DOI: 10.1109/PESGM41954.2020.9282070
Michael Abdelmalak, M. Kamruzzaman, M. Benidris
The penetration level of renewable energy sources and distributed generators (DGs) has been rapidly increasing, which severely impacts power system dynamic performance. Such sources usually have very small or no rotating inertia, thus resulting in a significant reduction in the overall system inertia. Low inertia can lead to loss of synchronism even for small disturbances, cascading failures, and blackouts. Virtual Synchronous Generators (VSG) have the potential to compensate for the reduced inertia due to the high penetration of renewable energy sources and DGs. However, determining the minimum sizes of VSG to maintain power system stability is a challenging task. In this paper, a probabilistic approach is proposed to determine the sizes of VSG to enhance the dynamic performance of power systems under various loading and failure conditions. In the proposed approach, Monte Carlo simulations are performed to emulate the variability of system loads and uncertainties of fault clearing times. The time domain simulation approach for multi-machine systems is performed to determine the required sizes of VSG. The proposed method is demonstrated on the reduced Western Electricity Coordinating Council 9-bus transmission system. The results show that the determined sizes of VSG are sufficient to maintain the stability of low-inertia power systems.
{"title":"Probabilistic Sizing of Virtual Energy Storage Devices for Transient Stability Enhancement","authors":"Michael Abdelmalak, M. Kamruzzaman, M. Benidris","doi":"10.1109/PESGM41954.2020.9282070","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9282070","url":null,"abstract":"The penetration level of renewable energy sources and distributed generators (DGs) has been rapidly increasing, which severely impacts power system dynamic performance. Such sources usually have very small or no rotating inertia, thus resulting in a significant reduction in the overall system inertia. Low inertia can lead to loss of synchronism even for small disturbances, cascading failures, and blackouts. Virtual Synchronous Generators (VSG) have the potential to compensate for the reduced inertia due to the high penetration of renewable energy sources and DGs. However, determining the minimum sizes of VSG to maintain power system stability is a challenging task. In this paper, a probabilistic approach is proposed to determine the sizes of VSG to enhance the dynamic performance of power systems under various loading and failure conditions. In the proposed approach, Monte Carlo simulations are performed to emulate the variability of system loads and uncertainties of fault clearing times. The time domain simulation approach for multi-machine systems is performed to determine the required sizes of VSG. The proposed method is demonstrated on the reduced Western Electricity Coordinating Council 9-bus transmission system. The results show that the determined sizes of VSG are sufficient to maintain the stability of low-inertia power systems.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114148201","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 : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281437
Q. Long, Hui Yu, Fuhong Xie, Wente Zeng, S. Lukic, N. Lu, D. Lubkeman
This paper presents a microgrid power flow control for islanded microgrids consisting of photovoltaic (PV) system, battery energy storage system (BESS) and diesel generator. The proposed control ensures automatic coordination among the microgrid units. To achieve the coordination, the local control of PV system and BESS are configured to regulate power flow without relying on communications. The generator is controlled as the back-up source and its connection depends on battery state of charge (SOC). A state machine with hysteresis settings is used to trigger smooth transition among operation modes. Not only does the proposed controller consider battery SOC and power limits, but also integrates three-stage charging control as battery charging mechanism, which is not considered in the existing literature. The proposed control is validated for an islanded hybrid microgrid using an OPAL-RT real-time simulator.
{"title":"Microgrid Power Flow Control with Integrated Battery Management Functions","authors":"Q. Long, Hui Yu, Fuhong Xie, Wente Zeng, S. Lukic, N. Lu, D. Lubkeman","doi":"10.1109/PESGM41954.2020.9281437","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281437","url":null,"abstract":"This paper presents a microgrid power flow control for islanded microgrids consisting of photovoltaic (PV) system, battery energy storage system (BESS) and diesel generator. The proposed control ensures automatic coordination among the microgrid units. To achieve the coordination, the local control of PV system and BESS are configured to regulate power flow without relying on communications. The generator is controlled as the back-up source and its connection depends on battery state of charge (SOC). A state machine with hysteresis settings is used to trigger smooth transition among operation modes. Not only does the proposed controller consider battery SOC and power limits, but also integrates three-stage charging control as battery charging mechanism, which is not considered in the existing literature. The proposed control is validated for an islanded hybrid microgrid using an OPAL-RT real-time simulator.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114408588","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 : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281425
A. Melin, M. Olama
Localized generation, storage, and intelligent power electronics are increasingly being integrated into buildings. The excess storage, thermal, and generation capacity can be used to develop new markets for ancillary services such as peak reduction, voltage and frequency support, or load flattening. Widespread participation in these markets will make the power grid more resilient. However, widespread participation in these markets will require a simple and intuitive control over the excess capacity by the building occupants. Most importantly for adopting these technologies, participation in these markets should not require sacrificing occupant comfort. Many of the proposed control and optimization technologies for supplying the ancillary services do not explicitly incorporate occupant comfort into their models and when they do, generally utilize a rigid constraint on the indoor air temperature set a priori. This reduces flexibility in using excess thermal capacity. It also cannot take into account uncertainties in local factors that affect thermal comfort such as clothing insulation or relative humidity. In this paper, we present and justify some assumptions that simplify the standard predictors of thermal comfort. We also develop a regression model of the thermal comfort that is linear with respect to the indoor air temperature. Next we develop the concept of thermal comfort variation that eliminates the dependence of the thermal comfort on uncertain thermal comfort factors. Then, we present a quadratic program utilizing the thermal comfort variation in both the objective function and as a constraint. Finally, we show the results of a time-of-use cost optimization that utilizes the simplified thermal comfort model.
{"title":"A Comfort Model Simplification for Tight Integration with Grid Service optimizations","authors":"A. Melin, M. Olama","doi":"10.1109/PESGM41954.2020.9281425","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281425","url":null,"abstract":"Localized generation, storage, and intelligent power electronics are increasingly being integrated into buildings. The excess storage, thermal, and generation capacity can be used to develop new markets for ancillary services such as peak reduction, voltage and frequency support, or load flattening. Widespread participation in these markets will make the power grid more resilient. However, widespread participation in these markets will require a simple and intuitive control over the excess capacity by the building occupants. Most importantly for adopting these technologies, participation in these markets should not require sacrificing occupant comfort. Many of the proposed control and optimization technologies for supplying the ancillary services do not explicitly incorporate occupant comfort into their models and when they do, generally utilize a rigid constraint on the indoor air temperature set a priori. This reduces flexibility in using excess thermal capacity. It also cannot take into account uncertainties in local factors that affect thermal comfort such as clothing insulation or relative humidity. In this paper, we present and justify some assumptions that simplify the standard predictors of thermal comfort. We also develop a regression model of the thermal comfort that is linear with respect to the indoor air temperature. Next we develop the concept of thermal comfort variation that eliminates the dependence of the thermal comfort on uncertain thermal comfort factors. Then, we present a quadratic program utilizing the thermal comfort variation in both the objective function and as a constraint. Finally, we show the results of a time-of-use cost optimization that utilizes the simplified thermal comfort model.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117010155","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 : 2020-08-02DOI: 10.1109/PESGM41954.2020.9354468
André Kummerow, S. Nicolai, C. Brosinsky, D. Westermann, A. Naumann, M. Richter
As real-time applications in information technology (IT) and operational technology (OT) advance, new innovative concepts become possible. IT/OT convergence opens new pathways to design and operate intelligent cyber-physical systems, such as the Digital Twin (DT) concept, which has been discovered as key technology by several industries. This paper describes how centralized and decentralized DTs can help to monitor and control future power systems with special consideration of their interaction in case of corrupted communication from cyber-attacks. While the virtual representation of substations is regarded from the edge computing perspective the control room of the interconnected power system represents the centralized perspective. The concepts allows to have a system wide perspective, while also keeping detailed information at hand. The future system operator in the control room will benefit from services provided by DTs analytical and control features, rising resilience to cyber-physical anomalies and enhance situational awareness.
{"title":"Digital-Twin based Services for advanced Monitoring and Control of future power systems","authors":"André Kummerow, S. Nicolai, C. Brosinsky, D. Westermann, A. Naumann, M. Richter","doi":"10.1109/PESGM41954.2020.9354468","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9354468","url":null,"abstract":"As real-time applications in information technology (IT) and operational technology (OT) advance, new innovative concepts become possible. IT/OT convergence opens new pathways to design and operate intelligent cyber-physical systems, such as the Digital Twin (DT) concept, which has been discovered as key technology by several industries. This paper describes how centralized and decentralized DTs can help to monitor and control future power systems with special consideration of their interaction in case of corrupted communication from cyber-attacks. While the virtual representation of substations is regarded from the edge computing perspective the control room of the interconnected power system represents the centralized perspective. The concepts allows to have a system wide perspective, while also keeping detailed information at hand. The future system operator in the control room will benefit from services provided by DTs analytical and control features, rising resilience to cyber-physical anomalies and enhance situational awareness.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117069839","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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