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2011 16th International Conference on Intelligent System Applications to Power Systems最新文献

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Knowledge based support for real time application of multiagent control and automation in electric power systems 基于知识的电力系统多智能体控制与自动化实时应用支持
2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082181
A. Saleem, L. Nordstrom, M. Lind
{"title":"Knowledge based support for real time application of multiagent control and automation in electric power systems","authors":"A. Saleem, L. Nordstrom, M. Lind","doi":"10.1109/ISAP.2011.6082181","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082181","url":null,"abstract":"This paper presents a mechanism for developing knowledge based support for real time application of multiagent systems (MAS) in control, automation and diagnosis of electric power systems. In particular it presents a way for autonomous agents to utilize a qualitative means-ends based model for reasoning about control situations. The proposed mechanism has been used in different scenarios of electric power distribution system protection and control. Results show that agents can use local models of their environment and coordinate with other agents to analyze and understand a disturbance situation and choose an appropriate control action. The paper also elaborates on real time interfacing between multi-agent systems and industry standard distribution automation and control system.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"35 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":"123516402","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: 5
Independent and clean electricity supply for a hospital in palestine controlled by fuzzy rules and time estimator 由模糊规则和时间估计器控制的巴勒斯坦一家医院的独立清洁电力供应
2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082164
M. Mushtaha, G. Krost
{"title":"Independent and clean electricity supply for a hospital in palestine controlled by fuzzy rules and time estimator","authors":"M. Mushtaha, G. Krost","doi":"10.1109/ISAP.2011.6082164","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082164","url":null,"abstract":"Stand alone wind-Diesel power systems can be an attractive solution for the supply of remotely located consumers or the provision of enhanced energy independence particularly in the Near-East region. This paper presents a dynamic behavior of a hybrid power system containing a wind turbine induction generator and a Diesel generator set supplying electrical demands for the main hospital in Gaza-Strip - Palestine. In this regard, hydrogen path and accumulator bank are added as long term and short term storage devices - respectively - in order to balance power in the system. In this paper, a proper fuzzy logic algorithm followed by a time estimator is applied to intelligently manage the energy storage strategy depending on the battery-bank state of charge, the hydrogen tank pressure, the prospective wind speed and the excess power under a given load profile of the hospital. The simulation results have been obtained in Matlab-Simulink environment, using SimPowerSystems and Fuzzy Logic toolboxes.","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":"114800603","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: 2
Transmission expansion planning by enhanced differential evolution 基于增强差分演化的输电扩展规划
2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082249
G. Orfanos, P. Georgilakis, G. Korres, N. Hatziargyriou
{"title":"Transmission expansion planning by enhanced differential evolution","authors":"G. Orfanos, P. Georgilakis, G. Korres, N. Hatziargyriou","doi":"10.1109/ISAP.2011.6082249","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082249","url":null,"abstract":"The restructuring and deregulation has exposed the transmission planner to new objectives and uncertainties. As a result, new criteria and approaches are needed for transmission expansion planning (TEP) in deregulated electricity markets. This paper proposes a new market-based approach for TEP. An enhanced differential evolution (EDE) model is proposed for the solution of this new market-based TEP problem. The modifications of EDE in comparison to the simple differential evolution method are: 1) the scaling factor F is varied randomly within some range, 2) an auxiliary set is employed to enhance the diversity of the population, 3) the newly generated trial vector is compared with the nearest parent, and 4) the simple feasibility rule is used to treat the constraints. Results from the application of the proposed method on the IEEE 30 bus test system demonstrate the feasibility and practicality of the proposed EDE for the solution of TEP problem.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"89 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":"124147880","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
Finding representative wind power scenarios and their probabilities for stochastic models 寻找具有代表性的风力发电情景及其随机模型的概率
2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082195
J. Sumaili, H. Keko, Vladimiro Miranda, Zhi Zhou, A. Botterud, Jianhui Wang
{"title":"Finding representative wind power scenarios and their probabilities for stochastic models","authors":"J. Sumaili, H. Keko, Vladimiro Miranda, Zhi Zhou, A. Botterud, Jianhui Wang","doi":"10.1109/ISAP.2011.6082195","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082195","url":null,"abstract":"This paper analyzes the application of clustering techniques for wind power scenario reduction. The results have shown the unimodal structure of the scenario generated under a Monte Carlo process. The unimodal structure has been confirmed by the modes found by the information theoretic learning mean shift algorithm. The paper also presents a new technique able to represent the wind power forecasting uncertainty by a set of representative scenarios capable of characterizing the probability density function of the wind power forecast. From an initial large set of sampled scenarios, a reduced discrete set of representative scenarios associated with a probability of occurrence can be created finding the areas of high probability density. This will allow the reduction of the computational burden in stochastic models that require scenario representation.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"186 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134004442","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: 38
Smart Grid Information Clearinghouse: A content collection and knowledge discovery model 智能电网信息交换中心:一个内容收集和知识发现模型
2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082240
S. Rahman, M. Pipattanasomporn
{"title":"Smart Grid Information Clearinghouse: A content collection and knowledge discovery model","authors":"S. Rahman, M. Pipattanasomporn","doi":"10.1109/ISAP.2011.6082240","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082240","url":null,"abstract":"This paper aims at providing an insight into the Smart Grid Information Clearinghouse (SGIC) web portal sponsored by the U.S. Department of Energy. Developed by Virginia Tech Advanced Research Institute in Arlington, VA, with assistance from the IEEE Power & Energy Society and EnerNex Corporation, the SGIC web portal was officially launched to the public in September 2010. It is designed to be the first stop-shop for smart grid information that acts as an essential gateway to connect smart grid communities to relevant sources of information. This paper highlights the SGIC content database and its development details that allow intuitive knowledge discovery by users with different backgrounds and interests.","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":"134491782","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
Onshore wind farm planning and system simulation analysis under low-carbon-island project at Penghu 澎湖低碳岛项目陆上风电场规划与系统仿真分析
2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082178
Yuan-Kang Wu, Ching-Yin Lee, Chao-Rong Chen, Shao-Hong Tsai
{"title":"Onshore wind farm planning and system simulation analysis under low-carbon-island project at Penghu","authors":"Yuan-Kang Wu, Ching-Yin Lee, Chao-Rong Chen, Shao-Hong Tsai","doi":"10.1109/ISAP.2011.6082178","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082178","url":null,"abstract":"Penghu is embarking on an ambitious plan to tackle global warming by controlling all aspects of the island's energy supply. The energy plan looks to tackle the island's dependence on fossil fuels and its carbon emissions via an increased uptake of renewable energy and low carbon usage. It will also help the island develop more and better low carbon technologies that will continue to stimulate economic growth. Among of these technologies, wind power definitely plays the most important role at Penghu Island because of its abundant wind energy resource. In the initial planning phase, additional onshore wind farms with a capacity of more than 100MW would be installed in this island. It would bring a severe challenge to the original power system. Therefore, it is necessary to perform various system simulation analyses, including the computations on steady-state power flows, fault currents, and transient stability. In this paper, the initial planning constructions on these wind farms and system simulation analysis have been performed. The results would provide significant references to the actual Penghu onshore wind farm planning.","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":"131907762","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
Application of an intelligent system based on EPSO and ANFIS to price forecasting 基于EPSO和ANFIS的智能系统在价格预测中的应用
2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082232
J. Catalão, G. Osório, H. Pousinho
{"title":"Application of an intelligent system based on EPSO and ANFIS to price forecasting","authors":"J. Catalão, G. Osório, H. Pousinho","doi":"10.1109/ISAP.2011.6082232","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082232","url":null,"abstract":"This paper proposes evolutionary particle swarm optimization (EPSO) combined with an adaptive-network-based fuzzy inference system (ANFIS) for short-term electricity prices forecasting. In a deregulated framework, producers and consumers require short-term price forecasting to derive their bidding strategies to the electricity market. Accurate forecasting tools are required for producers to maximize their profits and for consumers to maximize their utilities. The accuracy of the price forecasting attained with the proposed intelligent system is thoroughly evaluated, reporting the numerical results from a real-world case study.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"85 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":"133240635","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: 8
Control strategy for an autonomous energy system with electricity and heat flows 具有电热流的自主能源系统控制策略
2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082245
V. Vélez, L. Ramirez-Elizondo, G. C. Paap
{"title":"Control strategy for an autonomous energy system with electricity and heat flows","authors":"V. Vélez, L. Ramirez-Elizondo, G. C. Paap","doi":"10.1109/ISAP.2011.6082245","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082245","url":null,"abstract":"This paper presents a control strategy for the operation of an autonomous distributed generation system (DGS) that includes multiple energy carries, storage devices and wind energy. The simulation is performed for the heat and electricity demand of 200 households. The proposed control strategy provides suitable performance results and improved energy efficiency for the system under study.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"12 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":"123011892","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: 12
Power system islanding detection based on wide area measurement systems 基于广域测量系统的电力系统孤岛检测
2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082160
Zhenzhi Lin, Tao Xia, Y. Ye, Ye Zhang, Lang Chen, Yilu Liu, K. Tomsovic, T. Bilke
{"title":"Power system islanding detection based on wide area measurement systems","authors":"Zhenzhi Lin, Tao Xia, Y. Ye, Ye Zhang, Lang Chen, Yilu Liu, K. Tomsovic, T. Bilke","doi":"10.1109/ISAP.2011.6082160","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082160","url":null,"abstract":"A fast islanding detection tool can help power dispatchers monitor and control power system operations. Frequency monitoring network (FNET) is a low cost and quickly deployable wide-area phasor measurement system at the distribution level. The frequency disturbance recorder (FDR) in FNET is actually a single-phase phasor measurement unit (PMU) in the sense that it measures the voltage phase angle, amplitude, and frequency from a single-phase voltage source. Based on the data collected by the FDRs deployed in the North American power grid, two islanding detection methods, the frequency difference method and the change of angle difference method, are proposed. The six cases, including islanding cases, a generation trip case and a load shedding case, are presented to verify the proposed methods of islanding detection. The results show that the proposed methods can correctly detect power system islanding, and will not be falsely triggered by generation trips and load shedding.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"182 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":"124582378","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: 15
An automated classifier for asynchronous diagnosis of partial discharge defects 局部放电缺陷异步诊断的自动分类器
2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082224
P. C. Baker, A. J. Mair, M. Judd
{"title":"An automated classifier for asynchronous diagnosis of partial discharge defects","authors":"P. C. Baker, A. J. Mair, M. Judd","doi":"10.1109/ISAP.2011.6082224","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082224","url":null,"abstract":"One of the obstacles to widespread deployment of phase-resolved partial discharge (PD) diagnostics is the complexity of deploying and operating new monitoring systems. Typically, these rely upon synchronization with the electrical system frequency via a power line connection, introducing cost, inconvenience and risk into the system. For utilities to exploit partial discharge monitoring on a wide scale, a new approach is required that can work asynchronously which, looking forward, can be combined with wireless sensor network technology.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"49 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":"114670344","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
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