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2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)最新文献

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Modeling regime switching in day-ahead market prices using Markov model 利用马尔科夫模型对日前市场价格的制度转换进行建模
2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) Pub Date : 2016-10-01 DOI: 10.1109/ISGTEurope.2016.7856316
Yelena Vardanyan, M. Hesamzadeh
{"title":"Modeling regime switching in day-ahead market prices using Markov model","authors":"Yelena Vardanyan, M. Hesamzadeh","doi":"10.1109/ISGTEurope.2016.7856316","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856316","url":null,"abstract":"The accurate price forecasting of electricity market is crucial for profit maximizing producers and consumers in liberalized power markets. In all market places (day-ahead, intra-day and real-time) accurate price prediction is needed to generate optimal bids and maximize the profit. This paper first presents three methods for forecasting day-ahead market prices, namely Generalized Autoregressive Conditional Heterosedastic (GARCH), Holt-Winter (HW) and Mean Reversion and Jump Diffusion (MRJD). These methods are based on three broad methodologies of time series analysis, exponential-smoothing and stochastic processes. The dynamics of hourly prices in day-ahead market are varying from day to day. Each forecasting tool is suitable to capture one type of price dynamics. To capture this phenomenon, we combine GARCH, HW and MRJD methods using proposed Markov switch. The proposed Markov model is tested using Nordic day-ahead prices.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126503614","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: 1
Resilient distribution grids — cyber threat scenarios and test environment 弹性配电网-网络威胁场景和测试环境
2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) Pub Date : 2016-10-01 DOI: 10.1109/ISGTEurope.2016.7856193
E. Drayer, Jan Hegemann, S. Gehler, M. Braun
{"title":"Resilient distribution grids — cyber threat scenarios and test environment","authors":"E. Drayer, Jan Hegemann, S. Gehler, M. Braun","doi":"10.1109/ISGTEurope.2016.7856193","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856193","url":null,"abstract":"With the advent of the smart grid, a highly connected and communicative power grid, many new threats have to be considered, and new concepts for the grid to \"fail smartly\" in the inevitable event of security intrusion are needed. This paper reviews a collection of possible cyber threat scenarios as well as outlines of counter measures to different aspects of the communication infrastructure and components of a future power grid. These scenarios aim to define a test framework to future solutions for resilient distribution grid operation. To allow the evaluation of the effects of possible counter measures to these threats a specialised test environment is presented.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124625659","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
Computing the value of flexibility in electricity retail, ahead and balancing markets 计算电力零售灵活性的价值，领先并平衡市场
2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) Pub Date : 2016-10-01 DOI: 10.1109/ISGTEurope.2016.7856226
A. V. D. Veen, M. Kaisers
{"title":"Computing the value of flexibility in electricity retail, ahead and balancing markets","authors":"A. V. D. Veen, M. Kaisers","doi":"10.1109/ISGTEurope.2016.7856226","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856226","url":null,"abstract":"Renewable generation of energy is becoming more affordable, and is therefore increasingly adopted to match local demand. In addition, storage and demand response solutions have reached the market, which provides flexibility and thereby facilitates intelligent energy management. It has been suggested that this bottom-up flexibility should contribute to the balancing of the future smart grid, but financial incentives have so far been elusive. This article presents computations that assess the profitability of intelligent energy management for three different value propositions: increasing self-sufficiency under typical retail tariffs, or participating in ahead or balancing market price fluctuations, specifically in the Netherlands, Germany and Italy. First, an upper bound valuation of flexibility is computed from 2013 market data. Second, a technology-neutral profit analysis is proposed and demonstrated on selected technologies. Our simulations indicate the highest value for flexibility in the Dutch and German imbalance markets (7.7 & 9.4 €c/kWh) and the Dutch reserve market (10.4 €c/kWh), and for small prosumers in the German and Italian retail markets (12 & 10 €c/kWh). Results indicate that demand response with sufficiently low activation costs can be valorized in electricity markets, which innovative tariffs can exploit for balancing of the future smart grid.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"7 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116448210","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
Coordinated predictive control in active distribution networks with HV/MV reactive power constraint 高压/中压无功约束下有功配电网的协调预测控制
2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) Pub Date : 2016-10-01 DOI: 10.1109/ISGTEurope.2016.7856334
J. Morin, F. Colas, S. Grenard, J. Dieulot, X. Guillaud
{"title":"Coordinated predictive control in active distribution networks with HV/MV reactive power constraint","authors":"J. Morin, F. Colas, S. Grenard, J. Dieulot, X. Guillaud","doi":"10.1109/ISGTEurope.2016.7856334","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856334","url":null,"abstract":"This paper presents a new real time centralized Model Predictive Control algorithm for distribution networks. Compared to existing works regarding MPC volt var control, the proposed algorithm controls not only the MV voltages but also the reactive power exchange at the distribution and transmission systems interface. Control of reactive power exchange is a new requirement of the European Network Code on Demand and Connection. The controller adjusts the reactive power of the distributed generators and the voltage reference of HV/MV on load tap changers and capacitor banks. This method was simulated on a 20 kV network taking into account actual technical limitations of distribution networks.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"120 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133192257","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: 16
Scheduling fuel cell electric vehicles as power plants in a community microgrid 在社区微电网中调度燃料电池电动汽车作为发电厂
2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) Pub Date : 2016-10-01 DOI: 10.1109/ISGTEurope.2016.7856256
Esther H. Park Lee, Z. Lukszo
{"title":"Scheduling fuel cell electric vehicles as power plants in a community microgrid","authors":"Esther H. Park Lee, Z. Lukszo","doi":"10.1109/ISGTEurope.2016.7856256","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856256","url":null,"abstract":"This paper presents a community microgrid with renewable generation, storage, and Fuel Cell Electric Vehicles (FCEV) that are used when renewable sources are scarce. To fairly distribute the demand for FCEV power among cars, a Vehicle-to-Grid (V2G) power scheduling mechanism is implemented using as a criterion the number of times every car has been started up for power generation. It can be concluded that with the fair scheduling mechanism the system can be self sufficient most of the months. At the end of a year, this results in a bell-shaped distribution of the number of start-ups per car and in using, on average, each FCEV about three times per week.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134485765","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: 16
Key performance indicators for RES integration in LV distribution networks 低压配电网RES集成的关键性能指标
2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) Pub Date : 2016-10-01 DOI: 10.1109/ISGTEurope.2016.7856304
J. Zupancic, T. Medved, B. Prislan, A. Tuerk, A. Gubina
{"title":"Key performance indicators for RES integration in LV distribution networks","authors":"J. Zupancic, T. Medved, B. Prislan, A. Tuerk, A. Gubina","doi":"10.1109/ISGTEurope.2016.7856304","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856304","url":null,"abstract":"The accelerated development of renewable energy sources (RES) technology and their enhanced integration into the low voltage (LV) distribution network require changes in the network operational procedures. New technologies like smart inverters developed within EU FP7 project INCREASE have been developed in order to help the Distribution System Operators (DSO) in keeping the network parameters within the operational limits. On the transmission level standard Key Performance Indicators (KPIs) have been in use for years in order to assess the benefits and the added value of new controls and technologies. Due to the different network characteristic of the LV distribution networks and different control problems to be solved, those KPIs are inadequate to assess the impact of new technologies in distribution network. In the paper, a set of modified KPIs for assessing the impact of newly developed controls in the LV distribution network are presented, as developed in the INCREASE project.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134353677","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: 0
Application of data analytics for information retrieval from a typical DSO's database 数据分析在典型DSO数据库信息检索中的应用
2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) Pub Date : 2016-10-01 DOI: 10.1109/ISGTEurope.2016.7856314
J. Ponoćko, J. Milanović, R. Preece, N. C. Woolley
{"title":"Application of data analytics for information retrieval from a typical DSO's database","authors":"J. Ponoćko, J. Milanović, R. Preece, N. C. Woolley","doi":"10.1109/ISGTEurope.2016.7856314","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856314","url":null,"abstract":"This paper introduces the reasons for big data analytics in distribution network studies and potential benefits it could give. Summary of the most common data mining methods used in power system studies is also given, followed by a comparative analysis. A use case is shown at the end in order to present some examples of extraction of useful information from raw data stored in a real distribution utility's database. This was done by using some of the basic data mining methods applied to different types of attributes describing distribution system feeders in 11 kV and 6.6 kV network. The initial results showed that the usefulness of information depends on the level of data aggregation, as well as the choice of data analytics method.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132235436","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: 0
Leaky bucket approach implementing anticipatory control for nodal power flow management in smart energy systems 实现智能能源系统节点潮流管理预期控制的漏桶方法
2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) Pub Date : 2016-10-01 DOI: 10.1109/ISGTEurope.2016.7856270
M. Alamaniotis, Antonia Nasiakou, Rafik Fainti, L. Tsoukalas
{"title":"Leaky bucket approach implementing anticipatory control for nodal power flow management in smart energy systems","authors":"M. Alamaniotis, Antonia Nasiakou, Rafik Fainti, L. Tsoukalas","doi":"10.1109/ISGTEurope.2016.7856270","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856270","url":null,"abstract":"The electric power grid is the essential infrastructure for electric power delivery from generation through transmission, distribution to consumption node. The lack of large scale energy storage makes the grid unstable and fragile. In smart energy systems, power flow is regulated by pricing signals enabled through the communication component of the smart grid. This paper presents a leaky bucket approach that uses anticipatory control for power flow management in smart energy systems. The leaky bucket determines the flow rate with respect to a node of the power grid by taking into account the current state of the grid as well as current and anticipated electricity prices. The overall goal is to optimize power system performance and minimize the electricity consumption cost to the customers connected to a node. The proposed approach is tested on data obtained by the Gridlab-D simulation platform. Results demonstrate the effectiveness of the leaky bucket approach using anticipatory control in managing power flow and reducing overall cost to the consumer.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114523556","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
Coordinated control of DC voltage magnitudes and state of charges in a cluster of DC microgrids 直流微电网簇中直流电压大小和电荷状态的协调控制
2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) Pub Date : 2016-10-01 DOI: 10.1109/ISGTEurope.2016.7856272
M. Shahbazi, B. Kazemtabrizi, C. Dent
{"title":"Coordinated control of DC voltage magnitudes and state of charges in a cluster of DC microgrids","authors":"M. Shahbazi, B. Kazemtabrizi, C. Dent","doi":"10.1109/ISGTEurope.2016.7856272","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856272","url":null,"abstract":"This paper presents a modified approach for the control of DC voltages and State of Charges (SOC) of batteries in an interconnected cluster of DC microgrids. First, the model of a DC microgrid is reviewed, and then the proposed control method is presented. This method is composed of two compensation terms that are introduced in the secondary control level in the hierarchical control framework of the microgrids. These compensation terms are used to control the voltage throughout the cluster, and also to equalize the SOCs over the cluster. Even though this method is proposed as a centralized controller, it is shown that it is possible to implement it in a decentralized manner, using a consensus algorithm to estimate the average state of charge locally. Moreover, a modification is proposed that gets the reference SOCs from the tertiary control level, and tries to control storage units based on these references. Simulations ae carried out and the results are provided. These results show the effectiveness of the proposed methods and modifications.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114993686","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: 11
Stochastic modelling of distribution networks operation 配电网运行的随机建模
2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) Pub Date : 2016-10-01 DOI: 10.1109/ISGTEurope.2016.7856281
Mitja Antoncic, L. Herman, I. Papič, B. Blazic
{"title":"Stochastic modelling of distribution networks operation","authors":"Mitja Antoncic, L. Herman, I. Papič, B. Blazic","doi":"10.1109/ISGTEurope.2016.7856281","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856281","url":null,"abstract":"For purpose of power network operation analysis deterministic methods for load flow calculation are commonly used, for example Newton-Raphson method in its full or simplified version. Method is known for its robustness and is suitable for analyses of HV and MV networks. On the other hand it is less appropriate to model LV networks using solely deterministic methods, since consumption in LV networks is far from being deterministic. In contrary it is highly stochastic. Therefore modeling of LV distribution network should involve combination of deterministic and stochastic methods. Stochastic part must be supported with databases containing suitable amount of accurate data of interest.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"468 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114585371","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: 1
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