Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830222
Siyuan Dong, Zhongbo Fan
The distributed energy resources (DERs) have significantly stimulated the development of decentralized energy system and changed the way how the energy system works. In recent years, peer-to-peer (P2P) trading has drawn attention as a promising alternative for prosumers to engage with the energy market more actively, particular by using the emerging blockchain technology. Blockchain can securely hold critical information and store data in blocks linking with chain, providing a desired platform for the P2P energy trading. This paper provides a detailed description of blockchain-enabled P2P energy trading, its essential components, and how it can be implemented within the local energy market An analysis of potential threats during blockchain-enabled P2P energy trading is also performed, which subsequently results in a list of operation and privacy requirements suggested to be implemented in the local energy market.
{"title":"Cybersecurity Threats Analysis and Management for Peer-to-Peer Energy Trading","authors":"Siyuan Dong, Zhongbo Fan","doi":"10.1109/energycon53164.2022.9830222","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830222","url":null,"abstract":"The distributed energy resources (DERs) have significantly stimulated the development of decentralized energy system and changed the way how the energy system works. In recent years, peer-to-peer (P2P) trading has drawn attention as a promising alternative for prosumers to engage with the energy market more actively, particular by using the emerging blockchain technology. Blockchain can securely hold critical information and store data in blocks linking with chain, providing a desired platform for the P2P energy trading. This paper provides a detailed description of blockchain-enabled P2P energy trading, its essential components, and how it can be implemented within the local energy market An analysis of potential threats during blockchain-enabled P2P energy trading is also performed, which subsequently results in a list of operation and privacy requirements suggested to be implemented in the local energy market.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131338028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830267
S. Kibaara, M. Karweru
Photovoltaics, have seen many plants being constructed to either supplement the grid or alternatives for those far from the grid. Solar Photovoltaics plants occupy large tracts of land, which would have been used for other economic activities for revenue generation such as agriculture, forestry and tourism in archaeological sites. The negative impacts slow down the application of Solar PV. Still, a modeling tool that can quickly and quantitatively assess the effects in monetary form would accelerate the Solar PV application. This paper presents a developed modeling tool that determines not only the techno-economic impacts but also the environmental impacts in monetary form, for one to be able to assess the viability of a plant in a given region. Solar-PV based Power and Environmental Cost Assessment (SPECA) model was developed to help in the following ways: (i) understanding of Solar PV based power generation and its interactions with the resource inputs, the private costs, externalities, external costs and hence the environmental and social-economic impacts over the lifespan of the plant (ii) aiding investors of Solar PV with a tool which has a clear graphical and user interface for detection of the main drivers of the Levelized Cost of Energy (LCOE) (iii) creating an enabling environment for decision-makers aided by a visual SPECA modeling tool which takes into account the financial viability and the environmental impacts of Solar PV.
{"title":"Developing a Techno-Economic Modelling Tool for Small scale Utility Solar PV Technology for Quantifyting Environmental Impacts","authors":"S. Kibaara, M. Karweru","doi":"10.1109/energycon53164.2022.9830267","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830267","url":null,"abstract":"Photovoltaics, have seen many plants being constructed to either supplement the grid or alternatives for those far from the grid. Solar Photovoltaics plants occupy large tracts of land, which would have been used for other economic activities for revenue generation such as agriculture, forestry and tourism in archaeological sites. The negative impacts slow down the application of Solar PV. Still, a modeling tool that can quickly and quantitatively assess the effects in monetary form would accelerate the Solar PV application. This paper presents a developed modeling tool that determines not only the techno-economic impacts but also the environmental impacts in monetary form, for one to be able to assess the viability of a plant in a given region. Solar-PV based Power and Environmental Cost Assessment (SPECA) model was developed to help in the following ways: (i) understanding of Solar PV based power generation and its interactions with the resource inputs, the private costs, externalities, external costs and hence the environmental and social-economic impacts over the lifespan of the plant (ii) aiding investors of Solar PV with a tool which has a clear graphical and user interface for detection of the main drivers of the Levelized Cost of Energy (LCOE) (iii) creating an enabling environment for decision-makers aided by a visual SPECA modeling tool which takes into account the financial viability and the environmental impacts of Solar PV.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125514911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830378
Mohamad Amin Gharibi, H. Abyaneh
With the increase of electric vehicles (EVs) and plug-in electric vehicles (PEVs) in cities, EV parking lots face many challenges in estimating the electric charge and managing the optimal charge of the vehicles. To increase the profit of the owners of EV parking lots, they must have a correct estimate of the amount of their day ahead load so that they can request from the Day-Ahead Market(DAM) at a lower price than the Real-Time market (RTM). In this paper, using the LSTM network, the amount of EVs day ahead load is estimated and compared LSTM method with other conventional methods by buying from DAM and RTM. The simulation results show that the LSTM network gives a very accurate estimate of the load and performs well compared to the actual value. In this case, parking lots can have a higher profit.
{"title":"Parking lots Load prediction by LSTM","authors":"Mohamad Amin Gharibi, H. Abyaneh","doi":"10.1109/energycon53164.2022.9830378","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830378","url":null,"abstract":"With the increase of electric vehicles (EVs) and plug-in electric vehicles (PEVs) in cities, EV parking lots face many challenges in estimating the electric charge and managing the optimal charge of the vehicles. To increase the profit of the owners of EV parking lots, they must have a correct estimate of the amount of their day ahead load so that they can request from the Day-Ahead Market(DAM) at a lower price than the Real-Time market (RTM). In this paper, using the LSTM network, the amount of EVs day ahead load is estimated and compared LSTM method with other conventional methods by buying from DAM and RTM. The simulation results show that the LSTM network gives a very accurate estimate of the load and performs well compared to the actual value. In this case, parking lots can have a higher profit.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130331748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830218
A. González-Moreno, J. Marcos, Í. de la Parra, L. Marroyo
This work analyzes the reduction of power generation in strategies that regulate the PV ramp-rate by using inverter limitation. Although the operating principle implies some energy production losses, not all these losses are necessary. Three different strategies were simulated using experimental 5-second data collected throughout a year at a 38.6 MW PV plant, and their energy losses were obtained for different ramp-rate levels. An improvement in one of these strategies is proposed and evaluated. The main findings suggest that the proposed modification has the potential to drastically reduce annual production losses to insignificant levels. Regardless of the ramp-rate constrain, simulation results evidenced energy losses bellow 1%.
{"title":"Inverter-based PV ramp-rate limitation strategies: minimizing energy losses","authors":"A. González-Moreno, J. Marcos, Í. de la Parra, L. Marroyo","doi":"10.1109/energycon53164.2022.9830218","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830218","url":null,"abstract":"This work analyzes the reduction of power generation in strategies that regulate the PV ramp-rate by using inverter limitation. Although the operating principle implies some energy production losses, not all these losses are necessary. Three different strategies were simulated using experimental 5-second data collected throughout a year at a 38.6 MW PV plant, and their energy losses were obtained for different ramp-rate levels. An improvement in one of these strategies is proposed and evaluated. The main findings suggest that the proposed modification has the potential to drastically reduce annual production losses to insignificant levels. Regardless of the ramp-rate constrain, simulation results evidenced energy losses bellow 1%.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114972115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830427
Andreou Andreas, C. Mavromoustakis, G. Mastorakis, J. M. Batalla, E. Pallis
Energy conservation has been the concern of researchers in automobile engineering since the German inventor Karl Benz patented his Benz Patent-Motorwagen. We aim to contribute by developing the case of the independent distribution of energy between the wheels. Our goal is to enable the integration of smart panels in the suspension system for the interpretation of road irregularities. The innovation of this research work is based on the provision of an Artificial Intelligence (AI) system for intelligent vehicles that will allow the system to detect the road surface in terms of friction and inclination independently on each wheel. Hence, the vehicle's computer system will be able to provide exactly the energy required for torque Thus, energy consumption will be significantly reduced, while ensuring stability of operation. Through this research work, we propose a Pressure-Sensitive Panel to Vehicle (PSP2V) system in conjunction with digital fluid dynamics simulation. The implementation of the program is based on the solutions of the Navier-Stokes fluid flow equations. Our algorithm could run in real-time on PSPs and interact with the vehicle operating system. The objective is to distribute the appropriate energy between the wheels based on the torque required for proper operation, taking into account the pressure exerted by the road.
{"title":"Energy Conservation by using the Integration of Distributed Energy System in Smart Vehicles","authors":"Andreou Andreas, C. Mavromoustakis, G. Mastorakis, J. M. Batalla, E. Pallis","doi":"10.1109/energycon53164.2022.9830427","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830427","url":null,"abstract":"Energy conservation has been the concern of researchers in automobile engineering since the German inventor Karl Benz patented his Benz Patent-Motorwagen. We aim to contribute by developing the case of the independent distribution of energy between the wheels. Our goal is to enable the integration of smart panels in the suspension system for the interpretation of road irregularities. The innovation of this research work is based on the provision of an Artificial Intelligence (AI) system for intelligent vehicles that will allow the system to detect the road surface in terms of friction and inclination independently on each wheel. Hence, the vehicle's computer system will be able to provide exactly the energy required for torque Thus, energy consumption will be significantly reduced, while ensuring stability of operation. Through this research work, we propose a Pressure-Sensitive Panel to Vehicle (PSP2V) system in conjunction with digital fluid dynamics simulation. The implementation of the program is based on the solutions of the Navier-Stokes fluid flow equations. Our algorithm could run in real-time on PSPs and interact with the vehicle operating system. The objective is to distribute the appropriate energy between the wheels based on the torque required for proper operation, taking into account the pressure exerted by the road.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129903857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830240
Andreis Stupans, Pāvels Maksimkins, Armands Senfelds, L. Ribickis
The paper describes the process of mapping industrial robot energy consumption. It is assumed that using an obtained energy map, an optimal robot workspace area can be found where the robot consumes less energy because opposing force of gravity is reduced. The study focuses on experimental approach rather than computer modelling to decrease complexity and time consumption of energy mapping. The robot’s consumed power measurements are taken in its multiple static positions with brakes released. The array of robot positions forms a vertical plane - one slice of the robot’s workspace. All the measured power data is combined into the 2D map that shows how much power the robot consumes in different areas of its workspace. Obtained data shows a correlation between energy consumption and robot position in its workspace.
{"title":"Industrial robot energy consumption analysis for gravity-induced opposing force minimization","authors":"Andreis Stupans, Pāvels Maksimkins, Armands Senfelds, L. Ribickis","doi":"10.1109/energycon53164.2022.9830240","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830240","url":null,"abstract":"The paper describes the process of mapping industrial robot energy consumption. It is assumed that using an obtained energy map, an optimal robot workspace area can be found where the robot consumes less energy because opposing force of gravity is reduced. The study focuses on experimental approach rather than computer modelling to decrease complexity and time consumption of energy mapping. The robot’s consumed power measurements are taken in its multiple static positions with brakes released. The array of robot positions forms a vertical plane - one slice of the robot’s workspace. All the measured power data is combined into the 2D map that shows how much power the robot consumes in different areas of its workspace. Obtained data shows a correlation between energy consumption and robot position in its workspace.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130817514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830302
M. Maherani, J. Denecke, H. Vennegeerts
The application of grid forming control has challenges because of voltage source behavior with retarded adjustment to changing terminal voltage which cannot stiffly control the grid side current. Thus, a corresponding current limiting mechanism is required. The Direct Voltage Control is a partial grid-forming inverter control that operates in d/q-coordination and offers an easy solution for the current limitation’s issue by calculating difference voltages derived from Kirchhoff equations corresponding to high fast voltage controller parameter. This paper discusses the extension of the direct voltage control scheme to a fully grid-forming operation based on power balance synchronization by a swing equation instead of voltage-based synchronization with a phase-locked loop, and explains the implementation of the current limitation. The performance of the proposed control and its current limitation with different grid faults has been tested on the PST-16 Machine test system, which is simulated in EMT model with average model for simplification.
{"title":"Current Limitation based on fast voltage control for fully grid-forming Direct Voltage Control","authors":"M. Maherani, J. Denecke, H. Vennegeerts","doi":"10.1109/energycon53164.2022.9830302","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830302","url":null,"abstract":"The application of grid forming control has challenges because of voltage source behavior with retarded adjustment to changing terminal voltage which cannot stiffly control the grid side current. Thus, a corresponding current limiting mechanism is required. The Direct Voltage Control is a partial grid-forming inverter control that operates in d/q-coordination and offers an easy solution for the current limitation’s issue by calculating difference voltages derived from Kirchhoff equations corresponding to high fast voltage controller parameter. This paper discusses the extension of the direct voltage control scheme to a fully grid-forming operation based on power balance synchronization by a swing equation instead of voltage-based synchronization with a phase-locked loop, and explains the implementation of the current limitation. The performance of the proposed control and its current limitation with different grid faults has been tested on the PST-16 Machine test system, which is simulated in EMT model with average model for simplification.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132412360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830303
C. Iraklis
Renewable energy sources and distributed power generation units already have an important role in electrical power generation. A mixture of different technologies penetrating the electrical grid, adds complexity in the management of distribution networks. High penetration of distributed generation (DG) units creates node over-voltages, increased power losses, unreliable power management, reverse power flow and congestion. This paper presents an optimization algorithm capable of reducing congestion and power losses, both described as a function of weighted sum. Two factors that describe congestion are being proposed. An upgraded selective particle swarm optimization algorithm (SPSO) is used as a solution focusing on the technique of network reconfiguration. T he u pgraded S PSO a lgorithm is achieved with the addition of a heuristic algorithm specializing in reduction of power losses, with several scenarios being simulated. Results show significant i mprovement in m inimization of losses and congestion while achieving very small calculation times.
{"title":"Multi-objective Combined Heuristic-SPSO for Power Loss and Congestion Mitigation in Distribution Networks","authors":"C. Iraklis","doi":"10.1109/energycon53164.2022.9830303","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830303","url":null,"abstract":"Renewable energy sources and distributed power generation units already have an important role in electrical power generation. A mixture of different technologies penetrating the electrical grid, adds complexity in the management of distribution networks. High penetration of distributed generation (DG) units creates node over-voltages, increased power losses, unreliable power management, reverse power flow and congestion. This paper presents an optimization algorithm capable of reducing congestion and power losses, both described as a function of weighted sum. Two factors that describe congestion are being proposed. An upgraded selective particle swarm optimization algorithm (SPSO) is used as a solution focusing on the technique of network reconfiguration. T he u pgraded S PSO a lgorithm is achieved with the addition of a heuristic algorithm specializing in reduction of power losses, with several scenarios being simulated. Results show significant i mprovement in m inimization of losses and congestion while achieving very small calculation times.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114605131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830510
V. O. Kostiuk, O. Sidorov, Taras O. Kostyuk
Enhanced economic dispatch control of the wide area Interconnected Power System (the IPS) with effective interchange power flow balancing is presented. The algebraic expressions valid for online computations of the best gain values for the automated generation control (AGC) have been specified to provide suboptimal control processing for the area, or regional electric power system (EPS). Relevant operational conditions for secondary frequency and power control system were determined to compensate electric power flow imbalances in certain control areas (regional EPS) of the considered IPS. To apply the best AGC gain tunings, relevant numerical values of current power imbalances should be used for computations and proposed algebraic expressions are to be embedded seamlessly into the AGC algorithms of the SCADA-based multifunctional digital automated control system, which is already operated now to provide consistent controllable support for the normal processing inside the IPS. The AGC controllers of the SCADA-based system should be tuned periodically according to the proposed approach and the gain values updated properly.
{"title":"Enhanced Control of the Interchange Power Flows in the Interconnected Energy System","authors":"V. O. Kostiuk, O. Sidorov, Taras O. Kostyuk","doi":"10.1109/energycon53164.2022.9830510","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830510","url":null,"abstract":"Enhanced economic dispatch control of the wide area Interconnected Power System (the IPS) with effective interchange power flow balancing is presented. The algebraic expressions valid for online computations of the best gain values for the automated generation control (AGC) have been specified to provide suboptimal control processing for the area, or regional electric power system (EPS). Relevant operational conditions for secondary frequency and power control system were determined to compensate electric power flow imbalances in certain control areas (regional EPS) of the considered IPS. To apply the best AGC gain tunings, relevant numerical values of current power imbalances should be used for computations and proposed algebraic expressions are to be embedded seamlessly into the AGC algorithms of the SCADA-based multifunctional digital automated control system, which is already operated now to provide consistent controllable support for the normal processing inside the IPS. The AGC controllers of the SCADA-based system should be tuned periodically according to the proposed approach and the gain values updated properly.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114779766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830223
Almir Ekic, Di Wu, Ying Huang
The increasing use of natural gas power generation has strengthened the interdependence between the power and natural gas subsystems in the integrated power and gas system (IPGS). Due to the interactions between the two subsystems, the disturbances in one system may spread to the other one, triggering a disruptive avalanche of subsequent failures in the IPGS. This paper presents a survey of cascading failure analysis for the IPGS. First, we identify the important features characterizing cascading dynamics in individual power and gas subsystems. Then, we will discuss the features for the cascading failure analysis in the IPGS and future research.
{"title":"A Review on Cascading Failure Analysis for Integrated Power and Gas Systems","authors":"Almir Ekic, Di Wu, Ying Huang","doi":"10.1109/energycon53164.2022.9830223","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830223","url":null,"abstract":"The increasing use of natural gas power generation has strengthened the interdependence between the power and natural gas subsystems in the integrated power and gas system (IPGS). Due to the interactions between the two subsystems, the disturbances in one system may spread to the other one, triggering a disruptive avalanche of subsequent failures in the IPGS. This paper presents a survey of cascading failure analysis for the IPGS. First, we identify the important features characterizing cascading dynamics in individual power and gas subsystems. Then, we will discuss the features for the cascading failure analysis in the IPGS and future research.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128253241","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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