{"title":"A novel fault classification approach using manifold learning algorithm","authors":"Y. Guan, M. Kezunovic","doi":"10.1109/ISAP.2011.6082193","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082193","url":null,"abstract":"This paper provides a novel solution for power system transmission line fault classification. It is based on Clarke-Concordia transform and manifold learning algorithm using one-end current signals. We first convert the currents into “α α 0” phases, and construct the trajectories in a 3-diemensional space. Manifold learning is used to extract characteristic features and identify different fault patterns. A weight factor is introduced in the neighborhood selection algorithm in manifold learning, which helps to solve the local nonlinear confusion problem. Fault pattern formed in 3-dimensional “α α 0” space better illustrate the fault's distortion and displacement from the normal state. Simulation results have proven the feasibility of this approach.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"54 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":"115153559","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 memetic algorithm based on mixed ant colony optimization and genetic algorithm for optimal capacitor placement","authors":"M. P. Pimentel Filho, M. F. Medeiros","doi":"10.1109/ISAP.2011.6082188","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082188","url":null,"abstract":"This paper aims to address the optimal allocation of capacitor banks in electric power distribution systems. Although it is not a new theme, and already well exploited, with many works have been published over the past 40 years, treating this subject, it aims to present an alternative to an exact treatment of the problem through the combined use of the peculiar characteristics of Metaheuristics, also includes a local search to improve the efficiency of global search and computational performance. In general, the methods described in the literature have advantages and limitations. The main idea is to join in a single algorithm, characteristics of methodologies already established, and working together to overcome individual limitations. With this objective, the here proposed algorithm uses the concepts of well established methods such as gradient, ant colony and genetic algorithms to solve the problem.","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":"127297655","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":"Feeder reconfiguration for accommodating distributed generations interconnection","authors":"R. Chang, Ya-Chin Chang, Chan-nan Lu","doi":"10.1109/ISAP.2011.6082253","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082253","url":null,"abstract":"Previous studies have suggested that, with proper planning, distributed generation (DG) could provide system operation and planning benefits such as reduced losses and enhanced reliability. However, the allowable DG interconnection capacity at each site of the existing network is often restricted by fault current level, voltage variation and power flow constraints. An improved feeder reconfiguration technique is proposed in this paper to maximize DG penetration in the distribution network. Tie switch locations in the network are determined based on crude load flow model and minimum voltage deviation criterion in the proposed particle swarm optimization (PSO) solution procedure to improve computational efficiency. A simplified distribution network is used to test the performance of the proposed method and compare with a basic PSO based method. Numerical results indicate that the proposed method can efficiently provide suitable feeder structure for loss reduction and accommodating higher DG integrations.","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":"125843994","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. Faria, A. Silva, C. Ramos, L. Gomes, Z. Vale, A. Marques
{"title":"Intelligent behavior in a Cyber-Ambient training system for control center operators","authors":"L. Faria, A. Silva, C. Ramos, L. Gomes, Z. Vale, A. Marques","doi":"10.1109/ISAP.2011.6082166","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082166","url":null,"abstract":"This paper deals with the application of an intelligent tutoring approach to delivery training in diagnosis procedures of a Power System. In particular, the mechanisms implemented by the training tool to support the trainees are detailed. This tool is part of an architecture conceived to integrate Power Systems tools in a Power System Control Centre, based on an Ambient Intelligent paradigm. The present work is integrated in the CITOPSY project which main goal is to achieve a better integration between operators and control room applications, considering the needs of people, customizing requirements and forecasting behaviors.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"11 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":"114191158","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}
T. Pinto, Z. Vale, F. Rodrigues, Isabel Praça, H. Morais
{"title":"Cost dependent strategy for electricity markets bidding based on adaptive reinforcement learning","authors":"T. Pinto, Z. Vale, F. Rodrigues, Isabel Praça, H. Morais","doi":"10.1109/ISAP.2011.6082167","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082167","url":null,"abstract":"Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simulator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM provides several dynamic strategies for agents' behavior. This paper presents a method that aims to provide market players with strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses a reinforcement learning algorithm to learn from experience how to choose the best from a set of possible bids. These bids are defined accordingly to the cost function that each producer presents.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"6 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":"128702092","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":"Reconfiguration and capacitor placement in radial distribution systems for loss reduction and reliability enhancement","authors":"P. Rezaei, M. Vakilian, E. Hajipour","doi":"10.1109/ISAP.2011.6082180","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082180","url":null,"abstract":"This paper applies different approaches to solve network reconfiguration and capacitor placement/setting problem. First, reconfiguration and capacitor placement is solved for power loss minimization. Second, medium and long-term planning perspective is considered for the problem which takes into account reliability cost in addition to energy losses cost. A heuristic algorithm is used in this study for reliability evaluation considering protection schemes and isolation points in the distribution network. The problems are solved by Harmony Search Algorithm, and it is shown that its performance is much more satisfactory than several other metaheuristic algorithms to solve reconfiguration and capacitor placement for two case studies. Different approaches of the problem are considered in the planning stage, which shows that the comprehensive objective function including losses cost and reliability cost gives the optimum answer, otherwise extra cost will be imposed. Also, the advantage of using load duration curves and increasing the amount of computations is studied in this paper.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"5 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":"132497510","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":"Transformer fault diagnosis based on autoassociative neural networks","authors":"A. Castro, Vladimiro Miranda, S. Lima","doi":"10.1109/ISAP.2011.6082196","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082196","url":null,"abstract":"This paper presents a new approach to incipient fault diagnosis in power transformers, based on the results of dissolved gas analysis. A set of autoassociative neural networks or autoencoders are trained, so that each becomes tuned with a particular fault mode. Then, a parallel model is built where the autoencoders compete with one another when a new input vector is entered and the closest recognition is taken as the diagnosis sought. A remarkable accuracy is achieved with this architecture, in a large data set used for result validation.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"15 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":"133318230","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":"Decentralized, agent-mediated participation of flexible thermal loads in electricity markets","authors":"D. Papadaskalopoulos, P. Mancarella, G. Strbac","doi":"10.1109/ISAP.2011.6082172","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082172","url":null,"abstract":"Decentralization of market architecture, accurate expression of demand flexibility in the bidding process and minimum engagement from human users constitute major challenges towards the achievement of direct participation of the demand side in electricity markets. An approach to deal with these challenges in an integrated fashion is proposed in this paper. A decentralized pool market mechanism capturing the inter-temporal character of demand flexibility in the market clearing process, reducing the computational and communication requirements and respecting the consumers' privacy concerns is developed, based on decomposition principles and an original price update algorithm. Automated participation of the demand side in this decentralized market and encapsulation of its complex, inter-temporal characteristics in the bidding process is achieved through an agent-mediated scheme. Electro-thermal loads with electric heat pump systems and different flexibility scenarios (also including thermal storage deployment) have been used in order to exemplify this scheme and benefits emerging from their market participation are quantified and analyzed.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"21 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":"129661763","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":"Supporting services for real time wheeling transactions requests","authors":"A. Vlachos, P. Biskas","doi":"10.1109/ISAP.2011.6082171","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082171","url":null,"abstract":"As electricity markets emerge, power exchanges and wheeling transactions become a common operating practice in most power systems. This paper considers an interim system which transfers power between two neighboring systems and presents a methodology to estimate the maximum secure wheeling transaction that the interim system is capable to support. By reactive or active power rescheduling actions, the interim system can significantly increase the size of transfer capability, thus offer support services to accommodate the wheeling transaction. The method utilizes an Optimal Power Flow algorithm, in order to calculate the maximum active power that can be transferred, subject to security constraints, as well as the support services provided by the host system. An AC-OPF model is used and a variety of formulations are examined to model the host system actions. The method is intended for application in real time procedures, utilizing the intra-day electricity market processes. An illustrative study case of the methodology is presented for a 26-bus power system supporting wheeling transaction between two neighboring systems.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"20 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":"129793362","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}
R. Teive, J. Coelho, C. Camargo, P. Charles, T. Lange, L. Cimino
{"title":"A Bayesian Network approach to fault diagnosis and prognosis in power transmission systems","authors":"R. Teive, J. Coelho, C. Camargo, P. Charles, T. Lange, L. Cimino","doi":"10.1109/ISAP.2011.6082242","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082242","url":null,"abstract":"This paper proposes an intelligent system for solving the fault diagnosis problem in electrical power transmission system, involving substation equipments and transmission lines. The proposed methodology is based on Bayesian Networks and this paper is focusing only on the failures related to transmission lines. The fault diagnosis in power transmission systems is a complex problem and its solution usually needs a great deal of expertise and experience related to equipments, transmission systems and failures modes. The developed system allows not only the definition of the most probable cause of a detected failure, but also the prognosis of possible failures, when some evidences of equipment status or causes are known. Validation tests were performed with this computational model, considering realistic data from a Brazilian transmission utility. The tests have demonstrated the effectiveness of this approach, confirming it as a promising computational tool to the maintenance engineers.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"58 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":"131067543","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}