A. Papalexopoulos, I. Vitellas, N. Hatziargyriou, C. Hansen, T. Patsaka, A. Dimeas
{"title":"Assessment and economic analysis of wind generation on the ancillary services and the unit commitment process for an isolated system","authors":"A. Papalexopoulos, I. Vitellas, N. Hatziargyriou, C. Hansen, T. Patsaka, A. Dimeas","doi":"10.1109/ISAP.2011.6082197","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082197","url":null,"abstract":"This paper analyzes the behavior of the wind and examines the impact of varying levels of wind penetration on the ancillary services and unit commitment costs for conventional oil-fired generation for an isolated system. The application is based on data for the island of Crete. Three years of minute-by-minute telemetered load, wind speed, and wind generation data were deployed. The study also analyzes the operational impact of curtailing excess wind for security purposes.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"79 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":"123701014","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. Zountouridou, G. Kiokes, N. Hatziargyriou, N. Uzunoglu
{"title":"An evaluation study of wireless access technologies for V2G communications","authors":"E. Zountouridou, G. Kiokes, N. Hatziargyriou, N. Uzunoglu","doi":"10.1109/ISAP.2011.6082194","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082194","url":null,"abstract":"Vehicle-to-Grid (V2G) technology can be used to interconnect electric or plug in hybrid vehicles with the power grid by either delivering electricity and level peak demands or by throttling their charging rate. Two types of wireless communications are required to a V2G system. The communications between the Aggregator and the Control Center which will be realized through IEEE 802.16-2004 (802.16d) and between Aggregator and the Electric Vehicles which will be realized through vehicular communications (IEEE 802.11p). In this paper a V2G architecture design is presented and the two wireless communication protocols, are proposed and evaluated to the system needs. IEEE 802.16d referred to as Worldwide Interoperability for Microwave Access (WiMAX) specifies the air interface including the medium access control layer and multiple physical layer specifications of fixed broadband wireless access systems supporting multimedia services. IEEE 802.11p Wireless Access in Vehicular Environment defines modifications to IEEE 802.11 to support Intelligent Transportation Systems applications.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"91 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":"128016160","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":"Regional power trade modeling","authors":"P. Kádár","doi":"10.1109/ISAP.2011.6082184","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082184","url":null,"abstract":"A model is under development for the simulation of Central-European electricity market forecast for the next 5-10-15 years. Taking into account the different development scenarios and the bottle necks, we investigate the compensation flows in the coupled markets and the price trends. A large data set was collected from international forecasts. Based on these data generation capacities and prices, consumer prices, sensibilities, border crossing capacities were mapped into functions of time. The topology of the control areas of the CE region is also mapped in matrix formulation. The engine of the simulator is the Matlab environment with the optimization toolbox.","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":"132640983","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":"Distribution System Monitoring and Control for the AEGEAN Islands: PPC's Procurement of the New SCADA and DMS","authors":"N. Silva, M. Champakis, N. Fountas, E. Voreadi","doi":"10.1109/ISAP.2011.6082216","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082216","url":null,"abstract":"Electrical distribution systems are evolving and becoming more flexible with the inclusion of more intelligent electronic devices (IED) and remote terminal units (RTU). This enables the optimization of the network operation giving the operator more information and control options. SCADA and DMS systems need to accommodate and efficiently process all the data and alarms and aid the operator in making the best possible choices in the lowest time. The criticality of the decision making process when operating an islanded system is even higher. This papers overviews the adequate technical architecture of a distribution management system for the Greek islands and details the essential functionalities required.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"26 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":"116748673","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 load forecasting hybrid method for an isolated power system","authors":"G. Sideratos, I. Vitellas, N. Hatziargyriou","doi":"10.1109/ISAP.2011.6082190","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082190","url":null,"abstract":"This paper presents a load forecasting hybrid model designed for isolated power systems. The proposed model consists of four modules that estimate initially the future load demand and a combination module. Radial basis function neural networks (RBFNNs) are applied to make the initial predictions and multilayer perceptrons (MLPs) are used to combine them. Emphasis is given to the RBFNNs generalization ability developing a self-learning procedure with the Particle Swarm Optimization (PSO) algorithm. Satisfactory results are obtained after the evaluation in the Crete case study.","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":"116057485","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":"Ant colony optimization and analysis of time step resolution in transmission expansion computations for wind power integration","authors":"Ida Fuchs, T. Gjengedal","doi":"10.1109/ISAP.2011.6082213","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082213","url":null,"abstract":"This paper investigates the necessary time step resolution in a transmission expansion planning algorithm based on ant colony optimization. A maximal and efficient wind power integration is the main motivation for the grid expansion, which requires a planning tool dealing with wind energy fluctuations. For the analysis a power system model for the Nordic area is used, including a wind power production scenario for 2030. A comparison of simulation results with different time step resolutions, including average and peak values for wind power production, is presented in this paper.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"32 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":"124459490","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}
L. Gomes, F. Fernandes, T. Sousa, Marco R. Silva, H. Morais, Z. Vale, C. Ramos
{"title":"Contextual intelligent load management with ANN adaptive learning module","authors":"L. Gomes, F. Fernandes, T. Sousa, Marco R. Silva, H. Morais, Z. Vale, C. Ramos","doi":"10.1109/ISAP.2011.6082226","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082226","url":null,"abstract":"With the current increase of energy resources prices and environmental concerns intelligent load management systems are gaining more and more importance. This paper concerns a SCADA House Intelligent Management (SHIM) system that includes an optimization module using deterministic and genetic algorithm approaches. SHIM undertakes contextual load management based on the characterization of each situation. SHIM considers available generation resources, load demand, supplier/market electricity price, and consumers' constraints and preferences. The paper focus on the recently developed learning module which is based on artificial neural networks (ANN). The learning module allows the adjustment of users' profiles along SHIM lifetime. A case study considering a system with fourteen discrete and four variable loads managed by a SHIM system during five consecutive similar weekends is presented.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"25 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":"126134586","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}
S. Rudd, J. Kirkwood, E. Davidson, S. Strachan, V. Catterson, S. Mcarthur
{"title":"Intelligent monitoring of the health and performance of distribution automation","authors":"S. Rudd, J. Kirkwood, E. Davidson, S. Strachan, V. Catterson, S. Mcarthur","doi":"10.1109/ISAP.2011.6082220","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082220","url":null,"abstract":"With a move to ‘smarter’ distribution networks through an increase in distribution automation and active network management, the volume of monitoring data available to engineers also increases. It can be onerous to interpret such data to produce meaningful information about the health and performance of automation and control equipment. Moreover, indicators of incipient failure may have to be tracked over several hours or days. This paper discusses some of the data analysis challenges inherent in assessing the health and performance of distribution automation based on available monitoring data. A rule-based expert system approach is proposed to provide decision support for engineers regarding the condition of these components. Implementation of such a system using a complex event processing system shell, to remove the manual task of tracking alarms over a number of days, is discussed.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"149 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":"125482685","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":"Invasive weed optimization feature in market-based transmission expansion planning","authors":"M. Gardeshi, A. Rahimi-Kian","doi":"10.1109/ISAP.2011.6082175","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082175","url":null,"abstract":"In this paper, a new method for market-based transmission planning is proposed. This method covers the main objectives of transmission planning in deregulated environment such as facilitating competition among market participants, providing non-discriminate electricity market, improving the reliability of power system, increasing the flexibility of system operation, reducing the investment cost, and decreasing the congestion cost. The main contributions of this paper are organized as follows: I) For calculating the locational marginal price (LMP), the fictitious nodal demand (FND)-based DC optimal power flow (DCOPF) is applied. The recent works only focus on the energy term of LMP. The loss and congestion terms of LMP are covered by this method. II) To modeling the Uncertainties, the probabilistic optimal power flow (POPF) is used. III) The new parameter as probabilistic expected energy not supplied (PEENS) is considered in this paper. This parameter is applied as probabilistic reliability criterion. IV) In this work, Invasive Weed Optimization (IWO) is used as multi-objective optimization algorithm. V) The Analytic hierarchy process (AHP) and TOPSIS method are used as decision making process in this paper. This proposed model is applied to IEEE 24 bus test system.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"95 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":"116795740","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}
Z. Vale, B. Canizes, J. Soares, P. Oliveira, T. Sousa, T. Pinto
{"title":"Logic programming and fuzzy Monte Carlo for distribution network reconfiguration","authors":"Z. Vale, B. Canizes, J. Soares, P. Oliveira, T. Sousa, T. Pinto","doi":"10.1109/ISAP.2011.6082241","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082241","url":null,"abstract":"This paper present a methodology to choose the distribution networks reconfiguration that presents the lower power losses. The proposed methodology is based on statistical failure and repair data of the distribution power system components and uses fuzzy-probabilistic modeling for system component outage parameters. The proposed hybrid method using fuzzy sets and Monte Carlo simulation based on the fuzzy-probabilistic models allows catching both randomness and fuzziness of component outage parameters.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"14 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":"132347586","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}