2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)最新文献

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Impact of Non-Systematic Electric Vehicle Charging Behaviour on a Distribution Substation 非系统电动汽车充电行为对配电变电站的影响
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905710
Felipe Gonzalez Venegas, M. Petit, Y. Perez
{"title":"Impact of Non-Systematic Electric Vehicle Charging Behaviour on a Distribution Substation","authors":"Felipe Gonzalez Venegas, M. Petit, Y. Perez","doi":"10.1109/ISGTEurope.2019.8905710","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905710","url":null,"abstract":"Massive integration of electric vehicles (EV) into power systems will pose significant challenges, in particular to distribution systems. Additional peak demand by EV charging can induce congestion or voltage issues, which would require costly infrastructure investments. However, these impacts can be reduced by using smart charging mechanisms. The impacts of EV charging and the efficacy of smart charging algorithms will depend on user behavior (namely travel and charging patterns). This study analyses the impact of non-systematic EV charging on base load, at the HV/MV substation level, and on smart charging potential. Case studies on realistic substations, based on real travel and grid data from France, exemplify the results.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115401389","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}
引用次数: 9
Optimal Home Energy Management For Electric Flexibility Provision 电力灵活性提供的最佳家庭能源管理
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905468
Vahid Hosseinnezhad, M. Shafie‐khah, P. Siano, J. Catalão
{"title":"Optimal Home Energy Management For Electric Flexibility Provision","authors":"Vahid Hosseinnezhad, M. Shafie‐khah, P. Siano, J. Catalão","doi":"10.1109/ISGTEurope.2019.8905468","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905468","url":null,"abstract":"In the new smart grid paradigm, the residential prosumers can more actively participate in the energy exchange mechanisms by adjusting their consumption through demand response programs and their own available local generation and energy storage system. On these bases, a new model of home energy management system (HEMS) is proposed and analyzed in this paper. Numerical studies show that the proposed HEMS is able to find the optimal operating scenario in different situations and to achieve a reduction of the billing costs by providing some electric flexibility to an aggregator or to a system operator.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123123232","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}
引用次数: 4
Challenges in Protection of Converter Dominated Medium-Voltage Microgrids 以变流器为主的中压微电网保护面临的挑战
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905739
Rabindra Mohanty, Peiyuan Chen, L. Tuan, Anant Narula
{"title":"Challenges in Protection of Converter Dominated Medium-Voltage Microgrids","authors":"Rabindra Mohanty, Peiyuan Chen, L. Tuan, Anant Narula","doi":"10.1109/ISGTEurope.2019.8905739","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905739","url":null,"abstract":"This paper presents a comprehensive review of major challenges in protection of medium-voltage microgrids with large amount of converter interfaced distributed generations (DGs). The challenges are mainly due to the limited fault current contributed by the DGs during the fault. This paper focuses on key issues with overcurrent protection schemes with various configurations of DGs and connection points. It was found that the current magnitude based conventional overcurrent relays would fail to operate in islanded operation of microgrids, while in grid-connected mode, the relays would operate but with extended time delay or would not operate for certain fault locations with high penetration of DGs. Overrated converter interfaced DGs would cause problems such as relay blinding and sympathetic tripping. The problems are examined and discussed in cases with DGs interfaced by rated and overrated converters in islanded and grid-connected operations, as well as in cases of different connection points of DGs, energy storage system and fault locations in the microgrid. The paper also attempts to suggest and discuss a number of protection solutions to the presented issues considering cost and reliability aspects.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123297498","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}
引用次数: 3
Electric Load Profile Non-intrusive Analysis to Guide Energy Efficient Behavior for Residential Clients 电力负荷剖面非侵入式分析指导住宅用户节能行为
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905431
E. Grover-Silva, Elena Magliaro, J. L. Conte
{"title":"Electric Load Profile Non-intrusive Analysis to Guide Energy Efficient Behavior for Residential Clients","authors":"E. Grover-Silva, Elena Magliaro, J. L. Conte","doi":"10.1109/ISGTEurope.2019.8905431","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905431","url":null,"abstract":"In the context of the energy transition with ambitious goals about reducing electric energy use, residential energy consumption is a large part of total energy use and has a high potential for energy savings. Recently, deployment of smart meters have enabled residential load profile data to be more easily accessible. Therefore, services are emerging to better inform residential customers about their energy use. These services have been highly effective to reduce energy use when feedback is given about appliance specific energy use. This paper presents a simple and effective algorithm to use non-intrusive load monitoring analysis combined with a questionnaire to provide quick appliance specific energy use feedback to residential customers. The algorithm is only based on the historical energy use, does not require significant computational capacity, respects the confidentiality of clients with no data sharing involved and can be deployed offline if the client does not have access to internet. This makes this type of algorithm widely applicable and informative for residential customers.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123426538","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}
引用次数: 3
An Incentive Based Demand Response by HVAC Systems in Residential Houses 基于激励的住宅暖通空调系统需求响应
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905691
Mehdi Tavakkoli, S. Fattaheian‐Dehkordi, M. Pourakbari‐Kasmaei, M. Liski, M. Lehtonen
{"title":"An Incentive Based Demand Response by HVAC Systems in Residential Houses","authors":"Mehdi Tavakkoli, S. Fattaheian‐Dehkordi, M. Pourakbari‐Kasmaei, M. Liski, M. Lehtonen","doi":"10.1109/ISGTEurope.2019.8905691","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905691","url":null,"abstract":"This paper presents an incentive-based demand response (DR) scheme for a small residential area including several houses. It is supposed that there is an aggregator on one side and the residential consumers on the other side, which both of them want to achieve an optimal solution for themselves. For this reason, the Stackelberg game is adopted in this paper to consider the interaction between aggregator and consumers. This game would have one leader (aggregator) and N followers (consumers). Each consumer is assumed to have two kinds of load, namelycritical load, which is not intended for DR, and Heating, ventilation, and air conditioning (HVAC) system, which is considered as a potential for participating in DR. The proposed strategy is organized in a way that aggregator offers incentives to the consumers in order to change their load while consumers try to maximize their bonus getting from aggregator.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125932633","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}
引用次数: 9
Research on Wind Farms Aggregation Method for Electromagnetic Simulation Based on FDNE 基于FDNE的风电场电磁仿真聚合方法研究
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905666
Wei Li, A. Gole, M. Das, Iman Kaffashan
{"title":"Research on Wind Farms Aggregation Method for Electromagnetic Simulation Based on FDNE","authors":"Wei Li, A. Gole, M. Das, Iman Kaffashan","doi":"10.1109/ISGTEurope.2019.8905666","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905666","url":null,"abstract":"In this work, a wind farm aggregation method for electromagnetic simulation model based on FDNE is proposed. Identical subsystems terminated with a same node operating in parallel can be aggregated with the same constraints. WTGs connected to the same feeder within a wind farm can be aggregated as one equivalent subsystem. And the wind farm aggregated model includes several aggregated subsystems based on the grouping criterion. And each aggregated subsystem model constitutes an aggregated WTG with a current amplifier to generate the same amount of real power, an equivalent impedance of collector system, and a FDNE component to adjust the aggregated model frequency characteristics. Wind farms based on DFIG and PMSG are used to validate the effectiveness of the proposed aggregation method. The simulation comparison results indicate that the proposed method can guarantee the consistencies of the power flow and transient responses during faults with high accuracy. And the computation time is shortened by 87% in the dome cases.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130027044","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}
引用次数: 2
Wind Turbine Health Assessment Framework Based on Power Analysis Using Machine Learning Method 基于机器学习方法的功率分析风电机组健康评估框架
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905495
Qixing Huang, Yue Cui, L. B. Tjernberg, Pramod Bangalore
{"title":"Wind Turbine Health Assessment Framework Based on Power Analysis Using Machine Learning Method","authors":"Qixing Huang, Yue Cui, L. B. Tjernberg, Pramod Bangalore","doi":"10.1109/ISGTEurope.2019.8905495","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905495","url":null,"abstract":"This paper proposes a performance assessment framework to estimate operation status of wind turbines. The overall objective is to propose a method for health assessment to support preventive maintenance strategies for wind turbines. The framework uses the data in the supervisory control and data acquisition systems as input. The framework consists of three main stages: power curve prediction, sliding window method analysis and performance assessment. At the first stage, k-means and density-based clustering are applied to eliminate noisy measurements. Then both parametric and non-parametric methods are applied to estimate the ideal power curve, which is used as a reference value to assess the actual one. At the second stage, the sliding window method is used to calculate the deviation between actual power data and ideal values, which indicates the real time performance of wind turbines. At the third stage, different performance zones are defined to assess health conditions. The proposed approach has been applied with the experience data of six onshore wind turbines from a single wind farm. The results indicate that the introduced framework can monitor the operation conditions and evaluate the performance of wind turbines.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130095187","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}
引用次数: 7
Combined Heat and Power Markets by Double-Sided Auction Mechanisms 热电联产市场的双边拍卖机制
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905714
R. Saur, N. Yorke-Smith, H. L. Poutré
{"title":"Combined Heat and Power Markets by Double-Sided Auction Mechanisms","authors":"R. Saur, N. Yorke-Smith, H. L. Poutré","doi":"10.1109/ISGTEurope.2019.8905714","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905714","url":null,"abstract":"In order to reduce CO2 emissions, energy systems using different energy carriers (e.g., heat and power) are becoming more intertwined and integrated. However, coordination between non-cooperative participants of these systems in the combined heat and power domain has been limited to single-sided auctions with one centralised seller. In this paper, we present a double-sided auction mechanism in which prosumers as well as consumers and producers of heat and power can participate. By showing that our mechanism is Incentive Compatible and Individually Rational, we ensure that truthful bidding is the optimal strategy, simplifying the bidding process and thus accommodating agents with limited computational resources. Finally, we show that our mechanism is fiscally sustainable, i.e., Weakly Budget Balanced.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130257031","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}
引用次数: 3
Impact analysis of electric vehicle price mechanism on load demand response of distribution network 电动汽车价格机制对配电网负荷需求响应的影响分析
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905449
Hui Ren, Aiwei Zhang, Hongshan Zhao, Xihui Yan, Jinling Lu, Wei Li
{"title":"Impact analysis of electric vehicle price mechanism on load demand response of distribution network","authors":"Hui Ren, Aiwei Zhang, Hongshan Zhao, Xihui Yan, Jinling Lu, Wei Li","doi":"10.1109/ISGTEurope.2019.8905449","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905449","url":null,"abstract":"In recent years, with the vigorous development of global green energy, the popularization and deepening of electric vehicles are more and more rapid. Because of its “source-load” characteristics, electric vehicles will bring opportunities and challenges to the operation of the power grid. As the intermediary between distribution network and EV, aggregator participates in load demand response by centralized and orderly dispatching EVs. The enthusiasm of EV users to participate in demand response is related to their profit. This paper establishes EV users' profit model, aggregator's profit model and users' satisfaction model. The pricing factors that may lead to changes in EV users' profit and satisfaction are analyzed in detail. The simulation results show that the changes of electricity pricing standard, policy award/penalty and service fee will affect EV users' profit, aggregator's profit and aggregators' demand response ability, so as to help establish a reasonable pricing mechanism.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129460547","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}
引用次数: 5
A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level 竞价区级长期发电预测的机器学习模型
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) Pub Date : 2019-09-01 DOI: 10.1109/ISGTEurope.2019.8905453
Michela Moschella, M. Tucci, E. Crisostomi, Alessandro Betti
{"title":"A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level","authors":"Michela Moschella, M. Tucci, E. Crisostomi, Alessandro Betti","doi":"10.1109/ISGTEurope.2019.8905453","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905453","url":null,"abstract":"The increasing penetration level of energy generation from renewable sources is demanding for more accurate and reliable forecasting tools to support classic power grid operations (e.g., unit commitment, electricity market clearing or maintenance planning). For this purpose, many physical models have been employed, and more recently many statistical or machine learning algorithms, and data-driven methods in general, are becoming subject of intense research. While generally the power research community focuses on power forecasting at the level of single plants, in a short future horizon of time, in this time we are interested in aggregated macro-area power generation (i.e., in a territory of size greater than 100000 km2) with a future horizon of interest up to 15 days ahead. Real data are used to validate the proposed forecasting methodology on a test set of several months.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128506617","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}
引用次数: 3
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