{"title":"A GPU accelerated PSO with application to Economic Dispatch problem","authors":"S. Papadakis, A.G. Bakrtzis","doi":"10.1109/ISAP.2011.6082162","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082162","url":null,"abstract":"This paper investigates the use of Graphics Processing Units (GPUs) as general purpose parallel architectures, for the acceleration of the solution of the Economic Dispatch problem (ED) via stochastic search algorithms. The Comprehensive Learning Particle Swarm Optimizer (CLPSO) is used as host process to carry out the optimization task. At every time of the evolution a parallel graphics card speeds up the optimization process by calculating, in parallel, the fitness value of all particles. Two different approaches are investigated: a fine-grained parallelism and a coarse-grained one. The results demonstrate that GPUs can be applied with success to speed up computationally intensive problems in electric energy systems.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133495111","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":"Distributed MPC of wide-area electromechanical oscillations of large-scale power systems","authors":"D. Wang, M. Glavic, L. Wehenkel","doi":"10.1109/ISAP.2011.6082163","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082163","url":null,"abstract":"We investigate distributed Model Predictive Control (MPC) to damp wide-area electromechanical oscillations. Our distributed MPC schemes are derived from and compared with a fully centralized MPC scheme proposed in a previous publication. Based on simulations carried out using a 16-generator, 70-bus, two-area test power system, we show that simple coordination schemes based on additional local measurements' feedback yield already a significant improvement with respect to a scheme with only implicit coordination, improve significantly with respect to purely local controls, and in this respect reach about 75% of the improvements obtained by an ideal centralized MPC scheme.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114516264","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}
M. Kursa, Sławomir Walkowiak, Lukasz Ligowski, W. Rudnicki
{"title":"Utilising numerical weather forecast for planning electricity production in cogeneration plant","authors":"M. Kursa, Sławomir Walkowiak, Lukasz Ligowski, W. Rudnicki","doi":"10.1109/ISAP.2011.6082211","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082211","url":null,"abstract":"Production of heat and electricity in the cogeneration plant depends on weather, thus forecasting production is dependent on weather forecasts. Here we present the models of the heat production based on two weather forecast models, COAMPS and UM. The linear models that are based on the predicted air temperature can explain up to 90% of variability of production and deteriorate slowly with the range of forecast. The models of heat productions that are based on UM weather forecasts significantly outperforms those that are based on the models based on the COAMPS weather forecasts. The machine learning algorithm random forest is used to improve the basic models. To this end the residuals from the linear models are predicted using various meteorological variables along with variables governing activity of city inhabitants, such as hour of the day or day of the week. This machine learning approach leads to small but significant improvement in comparison to the original model.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115514729","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}
E. Karfopoulos, P. Papadopoulos, S. Skarvelis-Kazakos, I. Grau, L. Cipcigan, N. Hatziargyriou, N. Jenkins
{"title":"Introducing electric vehicles in the microgrids concept","authors":"E. Karfopoulos, P. Papadopoulos, S. Skarvelis-Kazakos, I. Grau, L. Cipcigan, N. Hatziargyriou, N. Jenkins","doi":"10.1109/ISAP.2011.6082212","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082212","url":null,"abstract":"Electric Vehicles are anticipated to have a considerable percentage of the vehicle market sales in the forthcoming years. The additional energy requirements for charging their batteries may affect the network operation, in terms of stability and reliability, especially when these are synchronized with the system peak demand. This issue will present power system operators with the challenge to efficiently integrate Electric Vehicles into power systems by exploiting their ability to behave as manageable loads. The Multi-Agent System technology has been proven a promising way to manage distributed energy resources in electrical networks. A multi-agent system approach to manage the charging of the Electric Vehicle batteries is described. The types of agents required to satisfy the technical operation and the market participation of Microgrids with Electric Vehicles are provided.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114456866","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":"An ontology model for intelligent tools applied to transformer condition evaluation","authors":"F. Giacomelli, T. B. Inoue, D. Morais, J. Rolim","doi":"10.1109/ISAP.2011.6082227","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082227","url":null,"abstract":"Numerous tests are applied to power and instrument transformers during their life cycle in order to evaluate their condition. The results of part of these tests are analyzed through simple comparison to thresholds established in well-accepted standards, but some require expertise to infer about the transformer condition. Researchers often suggest the use of intelligent techniques to interpret results of some transformer tests or to combine information from several analyses with monitoring devices. This paper proposes an ontology model to be used in applications of artificial intelligence techniques to transformer condition assessment, aiming to facilitate the communication and integration of separate modules.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115775128","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":"Engineering of trustworthy smart grids implementing service level agreements","authors":"R. Gustavsson, Shahid Hussain, L. Nordstrom","doi":"10.1109/ISAP.2011.6082200","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082200","url":null,"abstract":"Future Smart Grids have to meet high expectations from our societies on improved energy efficiency and sustainability. However, system uptake and acceptance will to a large extent depend on the perceived trust by different stakeholders. In the paper we address issues related to engineering of trustworthy systems. This type of Engineering will be grounded in reliable models of interoperability. A key issue is here interoperability of information exchange and sharing. Based on analysis of trust concerns, we propose a model of coordinating and monitoring by Service Level Agreements (SLAs) between stakeholders to ensure trustworthiness of system performance and behavior. We illustrate our methods on case related to trustworthy inclusion of DERs in Smart Grids.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121101110","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":"Application of fuzzy inference systems for evaluation of failure rates of power system components","authors":"Yong Liu, C. Singh","doi":"10.1109/ISAP.2011.6082159","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082159","url":null,"abstract":"Reliability parameters, such as the failure rates of power system components, are vital in evaluating power system reliability. This paper summarizes the research of the authors in using fuzzy inference systems to infer the failure rates of transmission lines in the power systems affected by hurricanes. The emphasis is on using fuzzy clustering methods to build fuzzy inference systems automatically. Here, two fuzzy clustering methods, subtractive clustering and fuzzy c-mean clustering, are adopted and compared in details. Besides, adaptive neuro-fuzzy inference system (ANFIS) is used to improve the performance of subtractive clustering. Then, the obtained results are compared to those of fuzzy c-mean clustering. Finally, possible future research on this topic is proposed. The proposed approaches were applied to the modified IEEE reliability test system (RTS). The numerical results show that the proposed approaches are efficient and are flexible in their applications.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125901273","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":"Anemos.Rulez: Rule based extreme event prediction and alarming to support the integration of wind power","authors":"H. Waldl, Philipp Brandt","doi":"10.1109/ISAP.2011.6082161","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082161","url":null,"abstract":"In this paper, we discuss the need to predict and alarm upcoming extreme events of the wind power domain, such as a sharp increase in wind power production or safety shut downs of turbines. These predictions are needed as a complement to daily operational wind power predictions to ensure grid stability. As there is no universal definition for these kind of extreme events, we describe important parameters for their definition and factors that influence these parameters. A tool for extreme event predictions, Anemos.Rulez, will be presented, including evaluation results from an application test case.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128479256","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}
Shahid Hussain, N. Honeth, R. Gustavsson, C. Sandels, A. Saleem
{"title":"Trustworthy Injection/Curtailment of DER in Distribution Network maintaining quality of Service","authors":"Shahid Hussain, N. Honeth, R. Gustavsson, C. Sandels, A. Saleem","doi":"10.1109/ISAP.2011.6082186","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082186","url":null,"abstract":"Future powers system is considering huge flux of information flow due to increase in Renewable Energy Sources. Due to the limited monitoring and management of SCADA systems, inclusion of DER at local distribution level is a challenging task for the Smart Grid. We discuss the non-functional requirement aspects and their implication in trustworthy systems. The paper also illustrates an engineering approach towards trustworthy ICT systems. We present a use case about Injection/Curtailment of DER in distributed network. Further, we argue the importance of Service Level Agreements as coordination tool for information exchange between DSO and DER for the provisioning of trustworthy services. Finally conclude that modeling of SLA using Multi Agent Systems is a viable approach towards Trustworthy future Smart Grid applications.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125979659","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}