Pub Date : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960646
Felix Gaumnitz, Andreas Ulbig, M. Attar, S. Repo
Congestion management using dedicated congestion management (CM) markets could extend the grid operators CM toolbox and can be one way to unlock small-scale flexibility potentials. The presented framework allows to study the effects of operational CM markets and simulates the operational planning of small-scale flexibility providers that are marketed by aggregators as well as the grid operation planning of grid operators under consideration of CM markets. Based on the optimized schedules of flexibility providers, the grid operators perform grid analyses and determine current-based congestions. These congestions are then relieved by determining optimal countermeasures using flexibility from the local CM market as well as the intraday market. The application of the presented framework shows its effectiveness in relieving congestions as well as a varying flexibility usage depending on the grid structure.
{"title":"Towards a framework for modelling market-based congestion management in distribution grids","authors":"Felix Gaumnitz, Andreas Ulbig, M. Attar, S. Repo","doi":"10.1109/ISGT-Europe54678.2022.9960646","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960646","url":null,"abstract":"Congestion management using dedicated congestion management (CM) markets could extend the grid operators CM toolbox and can be one way to unlock small-scale flexibility potentials. The presented framework allows to study the effects of operational CM markets and simulates the operational planning of small-scale flexibility providers that are marketed by aggregators as well as the grid operation planning of grid operators under consideration of CM markets. Based on the optimized schedules of flexibility providers, the grid operators perform grid analyses and determine current-based congestions. These congestions are then relieved by determining optimal countermeasures using flexibility from the local CM market as well as the intraday market. The application of the presented framework shows its effectiveness in relieving congestions as well as a varying flexibility usage depending on the grid structure.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120936667","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960637
David A. Sanchez, Santiago P. Torres, José E. Chillogalli, H. Chamorro, Luis G. Gonzalez, Vijay K. Sood, Rubén R. Romero
With the growing concern for energy conservation and environmental protection around the world, the use of Electric Vehicles (EVs) is being encouraged. In this way, the optimum allocation of EVs’ parked in a distribution network is a challenging issue. In this paper, the optimal energy exchange between EVs and the distribution network is analyzed in two types of parking lots, which will be controlled by a charging provider or aggregator, and where the randomness related to vehicles and vehicle-to-grid (V2G) capability at the charging stations will be considered. In this way the stochastic behavior of an EV during the day was formulated as a mixed integer linear programming (MILP) problem, and Monte Carlo simulations were used to estimate the optimal loading and unloading patterns of EVs inside the parking lots based on the time-of-use (ToU) tariffs.
{"title":"Optimal Planning of Electric Vehicles Energy Exchange in Parking Lots Considering Uncertainties","authors":"David A. Sanchez, Santiago P. Torres, José E. Chillogalli, H. Chamorro, Luis G. Gonzalez, Vijay K. Sood, Rubén R. Romero","doi":"10.1109/ISGT-Europe54678.2022.9960637","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960637","url":null,"abstract":"With the growing concern for energy conservation and environmental protection around the world, the use of Electric Vehicles (EVs) is being encouraged. In this way, the optimum allocation of EVs’ parked in a distribution network is a challenging issue. In this paper, the optimal energy exchange between EVs and the distribution network is analyzed in two types of parking lots, which will be controlled by a charging provider or aggregator, and where the randomness related to vehicles and vehicle-to-grid (V2G) capability at the charging stations will be considered. In this way the stochastic behavior of an EV during the day was formulated as a mixed integer linear programming (MILP) problem, and Monte Carlo simulations were used to estimate the optimal loading and unloading patterns of EVs inside the parking lots based on the time-of-use (ToU) tariffs.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121122750","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960602
C. Diaz-Londono, José Vuelvas, G. Gruosso, C. Correa-Flórez
The increasing presence of decentralised power generation and storage in modern grids has led to the development of new agents and interactions. In particular, consumers that have the potential of exploiting flexibility, can interact with the physical grid itself or through aggregators that bridge the gap between these ends users and traditional centralised markets. This paper aims to provide an insight on the benefits for both aggregators and end-users from a financial standpoint. The considered end-users can provide flexibility capacity from electric vehicle chargers and battery storage. We analyse different levels of remuneration for end-users, the difference when no intermediate party is present, and we conclude about the most advantageous set-ups for both aggregators and end-users. The results numerically show that some consumers can benefit more when aggregated, which depends on their behaviour and specific available flexibility, while others don’t seem to have an advantageous position when intermediate parties are present.
{"title":"Optimal Model for Prosumer Remuneration Schemes Considering Electric Vehicle Chargers Coordination","authors":"C. Diaz-Londono, José Vuelvas, G. Gruosso, C. Correa-Flórez","doi":"10.1109/ISGT-Europe54678.2022.9960602","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960602","url":null,"abstract":"The increasing presence of decentralised power generation and storage in modern grids has led to the development of new agents and interactions. In particular, consumers that have the potential of exploiting flexibility, can interact with the physical grid itself or through aggregators that bridge the gap between these ends users and traditional centralised markets. This paper aims to provide an insight on the benefits for both aggregators and end-users from a financial standpoint. The considered end-users can provide flexibility capacity from electric vehicle chargers and battery storage. We analyse different levels of remuneration for end-users, the difference when no intermediate party is present, and we conclude about the most advantageous set-ups for both aggregators and end-users. The results numerically show that some consumers can benefit more when aggregated, which depends on their behaviour and specific available flexibility, while others don’t seem to have an advantageous position when intermediate parties are present.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126156072","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960384
L. Strezoski
Distribution Energy Resource Management Systems (DERMS) are emerging software technologies aimed to provide Distribution System Operators (DSOs) with a specialized set of tools enabling them to maximize the benefits of integration and management of high penetration of distribution energy resources (DERs). In an ideal case, DERMS should cover a wide set of tools, providing benefits to both DSO as well as end customers. However, as the DERMS technology is still emerging, its definition is vague and can refer to very different levels of software hierarchy, spanning from Virtual Power Plants, Demand Response providers and DER Aggregators, to centralized enterprise systems, called Utility DERMS. Even though they are all frequently simply called DERMS, these software technologies have different sets of tools and aim to provide different services, to different stakeholders. This paper explores how these different software technologies can perfectly complement each other, and when integrated together, provide tremendous benefits to both a DSO as well as end customers, enabling them to pave the way into the next generation of active and complex distribution systems, as urgently required by governing bodies around the globe.
{"title":"Utility DERMS and DER Aggregators: An Ideal Case for Tomorrow’s DSO","authors":"L. Strezoski","doi":"10.1109/ISGT-Europe54678.2022.9960384","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960384","url":null,"abstract":"Distribution Energy Resource Management Systems (DERMS) are emerging software technologies aimed to provide Distribution System Operators (DSOs) with a specialized set of tools enabling them to maximize the benefits of integration and management of high penetration of distribution energy resources (DERs). In an ideal case, DERMS should cover a wide set of tools, providing benefits to both DSO as well as end customers. However, as the DERMS technology is still emerging, its definition is vague and can refer to very different levels of software hierarchy, spanning from Virtual Power Plants, Demand Response providers and DER Aggregators, to centralized enterprise systems, called Utility DERMS. Even though they are all frequently simply called DERMS, these software technologies have different sets of tools and aim to provide different services, to different stakeholders. This paper explores how these different software technologies can perfectly complement each other, and when integrated together, provide tremendous benefits to both a DSO as well as end customers, enabling them to pave the way into the next generation of active and complex distribution systems, as urgently required by governing bodies around the globe.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116227237","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960622
Y. Bekele, Getachew Biru, L. B. Tjernberg
This paper has investigated the role of renewable hydrogen produced from excess variable renewable energy (VRE) in reducing carbon emission and excess electricity curtailment in off-grid systems. The excess electricity produced from VRE is used for production of green hydrogen by electrolysis of water through Electrolyser in addition to serving deferrable load and battery storage systems (BSS). The hydrogen Produced from VRE sources is supplied to fuel cells to give electricity. The case study is based on modeling and simulation of off-grid systems with photovoltaics (PV) and wind turbines (WT) as two possible sources of power and, BSS and hydrogen as two possible storage media for an unelectrified small rural town called Gara Botora-Kemisie in Ethiopia. A Comparative analysis of the system with diesel generator (DG) and the system without DG is performed to identify a sustainable system for the selected site. Different case studies have been performed for comparison purposes. The results of the simulation show that, the system with PV, WT, BSS and hydrogen fuel cell is more sustainable and fossil free system and viable in reducing renewable energy curtailment.
{"title":"Sustainable Off-grid Systems with Integration of Renewable Generation and Hydrogen-Fuel Cell","authors":"Y. Bekele, Getachew Biru, L. B. Tjernberg","doi":"10.1109/ISGT-Europe54678.2022.9960622","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960622","url":null,"abstract":"This paper has investigated the role of renewable hydrogen produced from excess variable renewable energy (VRE) in reducing carbon emission and excess electricity curtailment in off-grid systems. The excess electricity produced from VRE is used for production of green hydrogen by electrolysis of water through Electrolyser in addition to serving deferrable load and battery storage systems (BSS). The hydrogen Produced from VRE sources is supplied to fuel cells to give electricity. The case study is based on modeling and simulation of off-grid systems with photovoltaics (PV) and wind turbines (WT) as two possible sources of power and, BSS and hydrogen as two possible storage media for an unelectrified small rural town called Gara Botora-Kemisie in Ethiopia. A Comparative analysis of the system with diesel generator (DG) and the system without DG is performed to identify a sustainable system for the selected site. Different case studies have been performed for comparison purposes. The results of the simulation show that, the system with PV, WT, BSS and hydrogen fuel cell is more sustainable and fossil free system and viable in reducing renewable energy curtailment.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122428444","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960332
Arpan Koirala, Md Umar Hashmi, D. Van Hertem, R. D’hulst
The photovoltaics (PV) hosting capacity (HC) of the power system infrastructure is an important planning problem. The energy transition is happening now, resulting in the addition of new load types and generation in the low voltage distribution network. With these new loads and generation devices connected to the distribution network, a new planning approach is required that considers their stochastic nature. Computing the stochastic HC for all individual low voltage distribution feeders is challenging, as a small service area can have hundreds of feeders. This work aims to capture appropriate clustering schemes and the most relevant features of low voltage distribution feeders so that an accurate estimate of the hosting capacity of the full service area can be calculated by scaling up the hosting capacity of a small number of representative feeders. A case study using actual feeders from suburban Spain showed that representative feeders obtained from feature reduction and using appropriate cluster size enables to scale the stochastic PV HC of an extensive service area. The case study showed that using 3% of the total feeders enables to estimate the PV HC of the LVDS feeders in the large service area.
{"title":"Representative feeders for spatial scaling of stochastic PV hosting capacity","authors":"Arpan Koirala, Md Umar Hashmi, D. Van Hertem, R. D’hulst","doi":"10.1109/ISGT-Europe54678.2022.9960332","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960332","url":null,"abstract":"The photovoltaics (PV) hosting capacity (HC) of the power system infrastructure is an important planning problem. The energy transition is happening now, resulting in the addition of new load types and generation in the low voltage distribution network. With these new loads and generation devices connected to the distribution network, a new planning approach is required that considers their stochastic nature. Computing the stochastic HC for all individual low voltage distribution feeders is challenging, as a small service area can have hundreds of feeders. This work aims to capture appropriate clustering schemes and the most relevant features of low voltage distribution feeders so that an accurate estimate of the hosting capacity of the full service area can be calculated by scaling up the hosting capacity of a small number of representative feeders. A case study using actual feeders from suburban Spain showed that representative feeders obtained from feature reduction and using appropriate cluster size enables to scale the stochastic PV HC of an extensive service area. The case study showed that using 3% of the total feeders enables to estimate the PV HC of the LVDS feeders in the large service area.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121912839","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960683
C. Frangeskou, L. Hadjidemetriou, M. Asprou, C. Panayiotou
Inverter-Based Resources (IBRs) are challenging traditional line protection systems, that have been designed and developed over the years considering the fault characteristics of synchronous generator dominated power systems. The response of IBRs under faults is mainly driven by the inverter control design that can vary across different manufacturers. This study focuses in assessing the performance of negative and zero sequence voltage polarized ground directional elements in a Medium Voltage (MV) distribution grid with increased penetration of Photovoltaic (PV) systems. A system has been developed, modelling a part of a distribution grid and utilizing detailed ElecrtoMagnetic Transient (EMT) models to emulate the behavior of IBRs. The design of the substation protection scheme includes an 11 kV blocking scheme employing ground directional elements. The system is simulated in a real time environment and Hardware In the Loop (HIL) tests are performed with actual protection relays utilizing the industry standard IEC 61850 protocol for the communications. The performance of the blocking scheme is examined under different configuration scenarios, with the results indicating that under certain conditions, with heavy IBR fault contributions, the protection scheme is impacted negatively.
{"title":"Ground Directional Protection Assesment in Inverter Dominated Distribution Networks","authors":"C. Frangeskou, L. Hadjidemetriou, M. Asprou, C. Panayiotou","doi":"10.1109/ISGT-Europe54678.2022.9960683","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960683","url":null,"abstract":"Inverter-Based Resources (IBRs) are challenging traditional line protection systems, that have been designed and developed over the years considering the fault characteristics of synchronous generator dominated power systems. The response of IBRs under faults is mainly driven by the inverter control design that can vary across different manufacturers. This study focuses in assessing the performance of negative and zero sequence voltage polarized ground directional elements in a Medium Voltage (MV) distribution grid with increased penetration of Photovoltaic (PV) systems. A system has been developed, modelling a part of a distribution grid and utilizing detailed ElecrtoMagnetic Transient (EMT) models to emulate the behavior of IBRs. The design of the substation protection scheme includes an 11 kV blocking scheme employing ground directional elements. The system is simulated in a real time environment and Hardware In the Loop (HIL) tests are performed with actual protection relays utilizing the industry standard IEC 61850 protocol for the communications. The performance of the blocking scheme is examined under different configuration scenarios, with the results indicating that under certain conditions, with heavy IBR fault contributions, the protection scheme is impacted negatively.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121985846","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960445
Mamadou Goundiam, V. Debusschere, R. Caire
The development of low CO2 equivalent emissions energy sources, like distributed generation, tends to reduce the global inertia of power systems by default. This phenomenon impacts grids' stability and the main synchronous generators. In this paper, a methodology is proposed to evaluate the evolution of the synchronizing torque coefficient under the effect of this inertia reduction. The results, detailed for each machine of the IEEE 10- generator 39-bus power system, show a linear trend as a function of system inertia. The methodology to model inertia reduction as well as considering other parameters than synchronizing torque are discussed in the paper.
{"title":"How Inertia Reduction Affects Synchronous Generators: The Case of Synchronizing Torque","authors":"Mamadou Goundiam, V. Debusschere, R. Caire","doi":"10.1109/ISGT-Europe54678.2022.9960445","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960445","url":null,"abstract":"The development of low CO2 equivalent emissions energy sources, like distributed generation, tends to reduce the global inertia of power systems by default. This phenomenon impacts grids' stability and the main synchronous generators. In this paper, a methodology is proposed to evaluate the evolution of the synchronizing torque coefficient under the effect of this inertia reduction. The results, detailed for each machine of the IEEE 10- generator 39-bus power system, show a linear trend as a function of system inertia. The methodology to model inertia reduction as well as considering other parameters than synchronizing torque are discussed in the paper.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129711972","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960326
Gaddafi Almannouny, Shengrong Bu, Jin Yang
The traditional scope of demand response has been expanded to include integrated demand response (IDR), leveraging the technological sophistication provided by energy integration technologies. This paper examines the relationship between service providers (SP) and end-users in the IDR programme. The purpose of IDR is to maximise profits for gas and electricity utility companies while also minimising customer consumption prices and keeping the system stable. The hierarchical decisionmaking framework is illustrated using deep reinforcement learning (DRL). To address this challenge, the deep deterministic policy gradient (DDPG) technique uses deep neural networks to assess the state and compute the action. SP can adjust retail energy pricing adaptively during the online learning process, Considering end-user demand uncertainty and wholesale price flexibility. Experiments demonstrate that our proposed approach achieves high performance. The findings demonstrate that The IDR programme can benefit both the end-users and the provider by lowering energy costs and peak load demand.
{"title":"Dynamic Pricing Integrated Demand Response for Multiple Energy Carriers with Deep Reinforcement Learning","authors":"Gaddafi Almannouny, Shengrong Bu, Jin Yang","doi":"10.1109/ISGT-Europe54678.2022.9960326","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960326","url":null,"abstract":"The traditional scope of demand response has been expanded to include integrated demand response (IDR), leveraging the technological sophistication provided by energy integration technologies. This paper examines the relationship between service providers (SP) and end-users in the IDR programme. The purpose of IDR is to maximise profits for gas and electricity utility companies while also minimising customer consumption prices and keeping the system stable. The hierarchical decisionmaking framework is illustrated using deep reinforcement learning (DRL). To address this challenge, the deep deterministic policy gradient (DDPG) technique uses deep neural networks to assess the state and compute the action. SP can adjust retail energy pricing adaptively during the online learning process, Considering end-user demand uncertainty and wholesale price flexibility. Experiments demonstrate that our proposed approach achieves high performance. The findings demonstrate that The IDR programme can benefit both the end-users and the provider by lowering energy costs and peak load demand.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128444573","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960657
Yunhe Wei, Al-Amin B. Bugaje, Federica Bellizio, G. Strbac
Power system stability is one of the crucial parts of power system operation. In combination with preventive control, corrective control can enhance the power system stability while reducing preventive control costs and increase grid asset utilization. However, it is hard to quantitatively determine the most cost-effective corrective control strategy in the short-time following the faults when there are transient conditions. In the proposed approach, reinforcement learning using a Deep Q Network is used to fast determine the optimized load shedding for different operating conditions to maintain the system stability following faults. A case study on the IEEE 9 bus system is used to test the proposed approach, showing promising performance in terms of accuracy, costs, and reduction in computational times when compared to existing approaches.
{"title":"Reinforcement Learning Based Optimal Load Shedding for Transient Stabilization","authors":"Yunhe Wei, Al-Amin B. Bugaje, Federica Bellizio, G. Strbac","doi":"10.1109/ISGT-Europe54678.2022.9960657","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960657","url":null,"abstract":"Power system stability is one of the crucial parts of power system operation. In combination with preventive control, corrective control can enhance the power system stability while reducing preventive control costs and increase grid asset utilization. However, it is hard to quantitatively determine the most cost-effective corrective control strategy in the short-time following the faults when there are transient conditions. In the proposed approach, reinforcement learning using a Deep Q Network is used to fast determine the optimized load shedding for different operating conditions to maintain the system stability following faults. A case study on the IEEE 9 bus system is used to test the proposed approach, showing promising performance in terms of accuracy, costs, and reduction in computational times when compared to existing approaches.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128265849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：