{"title":"Bad data validation on the basis of a posteriori analysis","authors":"A. Pazderin, E. Kochneva","doi":"10.1109/ENERGYCON.2014.6850456","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850456","url":null,"abstract":"Reliability of metering information is very important. There are different mathematical methods of measurement data verification. Large quantity of the bad data identification techniques are proposed to identify low precision measurements. These methods are developed as a part of the state estimation problem to calculate the steady state on the basis of telemetry data. A new approach to the calculation of state variables vector is proposed. A posteriori algorithm of bad data validation is described in details. The example of bad data detection for test scheme is considered.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129481989","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}
{"title":"FPGA-based real-time Hardware-In-the-Loop simulator of a mini solar power station","authors":"T. Debreceni, T. Kokenyesi, Z. Suto, I. Varjasi","doi":"10.1109/ENERGYCON.2014.6850408","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850408","url":null,"abstract":"Nowadays as the technology is developing, the more complex the power electronics and its controls become, the more proper hardware tool is required for HIL (Hardware-In-the-Loop) simulation. The general aim of the presented work is developing a fast, reliable and scalable HIL simulation framework for the rapid prototyping of complex power electronic systems. There are at least three strong reasons for using HIL simulation during the development: i) reduction of development time, ii) safety and quality requirements, and iii) prevent costly and dangerous failures [1]. The subject of the paper is the development of such a real-time HIL simulator using an FPGA. The system to be modeled is a mini solar power station with energy storage, which means that it is a solar panels-fed battery charger power stage with the battery itself.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115663739","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}
{"title":"Optimal number of electric vehicles in electricity distribution company","authors":"A. Janjic, Z. Petrusic","doi":"10.1109/ENERGYCON.2014.6850605","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850605","url":null,"abstract":"In this paper, the optimal vehicle fleet mix composed of both electric and gasoline powered cars for the electricity distribution company has been determined. The optimization is performed based on multi-criteria analysis and OWA operators. The criteria for the proper choice of vehicles encompass the service quality, CO2 emission, the overall fleet costs and the possibility to use storage capabilities of electric vehicles. The methodology is illustrated on the vehicle fleet determination for the medium size distribution company with 50 000 consumers.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124264348","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}
{"title":"Compatibility of wind and solar power generation in reducing effects of power output intermittency - case study","authors":"Alma Ademovic, M. Music","doi":"10.1109/ENERGYCON.2014.6850452","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850452","url":null,"abstract":"The issue of backup for intermittent renewable sources comes with the relatively low capacity value and the very limited contribution to generation security that such sources have. However, beside standard compensation measures (power system flexibility, positive and negative reserve, etc.), inherent natural properties of wind and solar power resources can play a certain role as well. This work builds upon previous analyses and gives a quantitative system non-specific data assessment of individual power generation scenarios (dispersed power generation, hybrid solar-wind power generation, etc.), based on one year data records available for three sites of Bosnia-Herzegovina. The scope of this work is to statistically evaluate and compare the contribution of each case scenario to the required power system backup margin and the associated capacity value for the selected resource. It has thereby been found that for the given data dispersed wind generation exceeds the effects of a hybrid wind-solar scenario, however, positive effects were found to come with a mixed dispersed wind-solar power generation as well. The capacity value assessment resulted in improved properties of the output reliability, but only up to a limited capacity factor of the wind only scenario.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117017889","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}
{"title":"Short-term forecasting of residential building load for distributed energy management","authors":"Y. Iwafune, Y. Yagita, T. Ikegami, K. Ogimoto","doi":"10.1109/ENERGYCON.2014.6850575","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850575","url":null,"abstract":"It is expected that energy management systems (EMS) on the demand side can be used as a method for enhancing the capability of balancing supply and demand of a power system under the anticipated increase of renewable energy generation such as photovoltaics (PV). Energy demand and solar radiation must be predicted in order to realize the optimal operation scheduling of demand side appliances by EMS, including heat pump water heaters, PV systems, and solar powered water heaters. This paper presents a day-ahead forecasting method for electricity consumption in a house to contribute to energy management. Ten forecasting methods are examined using real survey data from 35 households over a year in order to verify forecast accuracy. A daily battery operation model is also developed to evaluate the effect of load forecasts.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125174697","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}
Deepak E. Soman, Kasthuri Vikram, R. Krishna, M. Gabrysch, S. K. Kottayil, M. Leijon
{"title":"Analysis of three-level buck-boost converter operation for improved renewable energy conversion and smart grid integration","authors":"Deepak E. Soman, Kasthuri Vikram, R. Krishna, M. Gabrysch, S. K. Kottayil, M. Leijon","doi":"10.1109/ENERGYCON.2014.6850409","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850409","url":null,"abstract":"The increased smart grid integration of renewable energy sources demands high power handling and wide controllability for the enabling power conversion technologies. The conventional energy conversion techniques are inadequate to efficiently handle the highly varying nature of renewable energy sources like wave, solar, tidal and wind. The present work examines the advantages of using a three-level buck-boost DC-DC converter to aid three-level neutral-point-clamped inverter based grid integration. There are two main reasons for using this converter. It can provide the conventional buck-boost capability at higher power levels for absorbing and conditioning the renewable source output. Besides, it can be used as a voltage balancing device to satisfy the input requirement for the three-level neutral-point-clamped inverter. The work includes complete operating range analysis of the converter for the combined buck-boost action and voltage balancing effects to understand its suitability for various applications. The converter switching modes of operation are also presented in detail along with essential example waveforms. The final results show good controllability bandwidth for the converter which makes it an attractive solution for smart grid integration of renewable energy sources.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127039294","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}
{"title":"Influence of temperature drop on power and gas systems - analysis","authors":"N. Mandić, H. Glavaš, Ivica Petrović","doi":"10.1109/ENERGYCON.2014.6850491","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850491","url":null,"abstract":"Electric and gas systems are two complementary, interconnected energy systems. Each of the systems has a different size and coverage. Their networks cover different areas, the structure of their customers varies across regions, and their presence varies in industry and households. The interrelatedness of these systems is both direct and indirect. The direct interrelatedness is visible in the tasks performed by the gas system in its function of a supplier for electricity production plants. Other than the mentioned direct connection, tasks performed by these two systems complement each other while supplying the consumers, for instance in tasks of heating, hot water preparation, and similar. However, there are also some specific features that create an impression that some systems' elements are separated. The indirect connection regards climate conditions. The aim of the paper is to analyse and present the impact which a temperature drop has on electric and gas system, as well as to analyse the interrelatedness of the two systems in extreme weather conditions taking Zagreb, Croatia as an example area. In winter the consumption of electrical energy and gas rises considerably. Any shortage leads to reactions. A threat to one system indirectly endangers the other. The paper tries to clearly present the systems' very important interrelatedness and interdependence in terms of higher demand for energy-generating products using the example of temperature drop. An immediate and considerable temperature drop provokes very similar responses from both systems. This phenomenon has not been recognized clearly enough by the professional community, and its consequences have not been fully considered.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114917365","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}
{"title":"Voltage control for Distributed Energy Resources - The value of coordination","authors":"A. Szabo, Michael Buhl, M. Metzger","doi":"10.1109/ENERGYCON.2014.6850561","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850561","url":null,"abstract":"Due to the large development and integration of renewable energy generators, voltage control in power distribution grids have become a very important topic for the energy automation systems. In this paper we present aspects regarding the design of local controllers and the overall stability of the control system. The results stem from analytical investigations and from measurements and experiments performed on a low voltage distribution grid. In the paper we will show that voltage asymmetry in the distribution grids cannot be neglected and consequently, the control of the voltage needs to be performed specifically for each phase. Decentralized local controllers can perform the control and, if designed correctly, they are highly efficient with respect to the use of reactive power.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115043539","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}
{"title":"A new framework for analyzing stability in distributed generation based on the complete nonlinear synchronous machine model","authors":"E. A. Androulidakis, A. Alexandridis","doi":"10.1109/ENERGYCON.2014.6850555","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850555","url":null,"abstract":"Distributed generation, along with its advantages, raises new challenges in terms of modeling power systems and conducting stability analysis. In this framework, the stability analysis of synchronous generators plays a key role. Hence, starting from the complete nonlinear model of the generator and formulating suitable storage functions input-to-state stability of the synchronous machine is proven. This constitutes the main contribution of the paper since is the first time that non-simplified generators' models are used for stability and transient analysis. In an illustrative example, the case of the three-phase synchronous machine coupled to an infinite bus along with a distributed system is simulated to verify the theoretical results.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115250833","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}
{"title":"Continuous, non-linear, optimal speed control of a Distributed Generation Power Pack using Artificial Neural Networks","authors":"C. Hill, P. Zanchetta, N. Okaeme, S. Bozhko","doi":"10.1109/ENERGYCON.2014.6850554","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850554","url":null,"abstract":"Distributed Generation Power Packs with a combustion engine prime mover are still widely used to supply electric power in a variety of applications. These applications range from backup power supply systems to providing power in places where grid connection is either technically impractical or financially uneconomic. Due to the ever increasing cost of diesel fuel and the environmental issues associated with its use, the optimisation of these AC generators and the reduction of fuel consumption is vital. This paper presents how Artificial Neural Networks can be utilised in order to obtain a continuous function which relates variable load demand to optimal speed demand. The Artificial Neural Network toolbox within MATLAB is used to create, train and test the Artificial Neural Networks. This paper also shows the results of an experimental system used in order to emulate the Distributed Generation Power Pack. Overall it is shown that is possible to operate a variable speed system under optimal, non-linear, speed control using Artificial Neural Networks.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122470355","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}