{"title":"Uzbekistan energy strategy","authors":"T. P. Salikhov","doi":"10.1109/PES.2006.1709149","DOIUrl":"https://doi.org/10.1109/PES.2006.1709149","url":null,"abstract":"Analysis of Uzbekistan energy policy on the base of system approach has been performed. It has been shown that the energy policy can be presented in the form of various components of the policy such as geopolitical, economic, technical and social ones and the step by step principle of reforming has been used in its realization. Due to correct and balanced implementation of the energy policy Uzbekistan has been able over a relatively short time to ensure the stable advancement of its vast fuel and power complex","PeriodicalId":267582,"journal":{"name":"2006 IEEE Power Engineering Society General Meeting","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125345136","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}
A. Tsikalakis, Y. Katsigiannis, P. Georgilakis, N. Hatziargyriou
{"title":"Determining and exploiting the distribution function of wind power forecasting error for the economic operation of autonomous power systems","authors":"A. Tsikalakis, Y. Katsigiannis, P. Georgilakis, N. Hatziargyriou","doi":"10.1109/PES.2006.1709413","DOIUrl":"https://doi.org/10.1109/PES.2006.1709413","url":null,"abstract":"Many efforts have been presented in the bibliography for wind power forecasting in power systems and few of them have been used for autonomous power systems. The impact of knowing the distribution function of wind power forecasting error in the economic operation of a power system is studied in this paper. The papers proposes that the distribution of the wind power forecasting error of a specific tool can be easily derived if, for that model, an evaluation of its performance is made off-line comparing the forecasted values of the tool with the actual wind power values in the same horizon. The proposed methodology is applied to the autonomous power system of Crete. It is shown that the improvement of the performance of wind power forecasting tool has significant economic impact on the operation of autonomous power systems with increased wind power penetration. The obtained results for various levels of wind power production and load show that using only mean absolute percentage error (MAPE) leads to significant change in the estimation of the wind power to be shed to avoid technical limits violation, especially if the wind power forecasting tool presents underestimation of the actual production","PeriodicalId":267582,"journal":{"name":"2006 IEEE Power Engineering Society General Meeting","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126739367","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}
A. Jain, S. Tripathy, R. Balasubramanian, Y. Kawazoe
{"title":"Stochastic load flow analysis using artificial neural networks","authors":"A. Jain, S. Tripathy, R. Balasubramanian, Y. Kawazoe","doi":"10.1109/PES.2006.1709368","DOIUrl":"https://doi.org/10.1109/PES.2006.1709368","url":null,"abstract":"Stochastic load flow is a method for calculation of the effects of inaccuracies in input data on all output quantities through the load flow calculations. This gives a range of values (confidence limit) for each output quantity, which represent the operative condition of the system, to a high degree of probability or confidence. This paper presents a new method for stochastic load flow analysis using artificial neural networks. It is desirable to know the state of the power system in a range with certain confidence, with consideration of input data uncertainties and inaccuracies, on instant-to-instant basis in the fastest possible way. Present method using artificial neural networks to stochastic load flow problem is an effort in that direction and will be a very useful technique in effectively dealing with demand side uncertainties for power system planning and operation. The proposed artificial neural network model has been tested on a sample power system using two different training algorithms and simulation results are presented","PeriodicalId":267582,"journal":{"name":"2006 IEEE Power Engineering Society General Meeting","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115085046","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":"Asset health index method for diesel generation unit replacement planning","authors":"Wenpeng Luan, C. Siew, H. Iosfin","doi":"10.1109/PES.2006.1709375","DOIUrl":"https://doi.org/10.1109/PES.2006.1709375","url":null,"abstract":"Diesel generation units are not often considered for replacement before they reach the manufacturer's recommended life, and sometimes only after it runs to failure. Although this can take better advantage of the unit life, it may not be the most cost effective strategy considering the fact that aging units often have higher operation and maintenance costs, and undesirable reliability consequences. In order to allow financial retain/replace decisions to be made; this paper proposes a cost effectiveness analysis method. Each generation unit under evaluation is given an asset health index (AHI), which is defined as the ratio of the NPV of running a unit to end of life over the NPV of immediate replacement. AHI is a self-explanatory quantitative indicator of the cost effectiveness for unit replacement. In-house software named asset health index calculator (HI) has been developed and an AHI has been produced for every diesel generation unit in service in the BC Hydro non-integrated areas (NIA) for the future 20 years, so planners can easily foresee when and which units should be replaced in this planning window. A performance evaluation of the generation units is also required by not discussed in this paper. The development of the AHI and the performance evaluation allow proactive fleet capacity planning and justifiable asset management expenditure. As an effective planning tool, the proposed AHI method can be extended to the evaluation for other aging assets","PeriodicalId":267582,"journal":{"name":"2006 IEEE Power Engineering Society General Meeting","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115993348","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":"Financing challenges for generation investments in new supply adequacy mechanisms in Latin America","authors":"M. Madrigal, J. Millán, R. Robboy, J. Molina","doi":"10.1109/PES.2006.1708975","DOIUrl":"https://doi.org/10.1109/PES.2006.1708975","url":null,"abstract":"The mid 90's wave of generation investment flows in newly created electricity markets for power generation lost momentum in the early years of this century. Factors affecting investment vary from these times reduce in capital flows following the Asian crisis, to poor incentives for generation investment in market design. The difficulty, at least in Latin America, to operate energy-only markets without disruptive prince interventions or market power abuse, has made generation investment a challenge. Markets equipped with variations of capacity payments have performed better with concerns of inefficient investment and high final prices for consumers. The recognition that long-term contracting mechanisms and demand participation in handling supply risk are key to supply adequacy has lead to a new generation of market designs. The paper presents some of the challenges for financing generation in this new type of market designs from development banks perspective, and shows empirical evidence on what has been the investment practices in some selected countries in Latin America, spot market risk and also outside-of the energy market risk factors have play an important role, in order to diminish these risk investors often look for more comfortable traditional long-term contracts in opposition to newly market design paradigms which brings concerns on their effectiveness in developing countries if other institutional and regulatory factors are not in place","PeriodicalId":267582,"journal":{"name":"2006 IEEE Power Engineering Society General Meeting","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116006474","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":"Feasibility of a self-healing grid - part II benefit models and analysis","authors":"K. Moslehi, A.B.R. Kumar, P. Hirsch","doi":"10.1109/PES.2006.1709397","DOIUrl":"https://doi.org/10.1109/PES.2006.1709397","url":null,"abstract":"This two part paper presents a general methodology and scalable framework for business case analyses to assess the costs and benefits of implementing a high performance IT infrastructure for a self-healing grid. The infrastructure calls for a scalable and distributed architecture as well as geographically and temporally coordinated autonomous intelligent controls to address power system operating concerns and realize major improvements in reliability. The methodology exploits published industry statistics regarding physical and financial attributes and can be adapted for assessment of self-healing capabilities for any power system. This part-II addresses benefit models and feasibility of the infrastructure while part-I presented the methodology and cost models. The benefit models are justified analytically and validated against industry experiences. An empirical model is derived to facilitate the feasibility analysis. The analysis established the feasibility of the far reaching IT infrastructure","PeriodicalId":267582,"journal":{"name":"2006 IEEE Power Engineering Society General Meeting","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116072931","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}
A. Rezaei-Zare, Hossein Mohseni, M. Sanaye-Pasand, S. Farhangi, Reza Iravani
{"title":"Performance of various magnetic core models in comparison with the laboratory test results of a ferroresonance test on a 33 kV voltage transformer","authors":"A. Rezaei-Zare, Hossein Mohseni, M. Sanaye-Pasand, S. Farhangi, Reza Iravani","doi":"10.1109/PES.2006.1709624","DOIUrl":"https://doi.org/10.1109/PES.2006.1709624","url":null,"abstract":"Ferroresonance is a nonlinear phenomenon and occurs in all voltage levels of power systems. One of the main elements of a ferroresonance circuit is saturable inductance. Existing electromagnetic transient programs such as EMTP present various models of magnetization characteristics of saturable cores. However, to study ferroresonance phenomenon, many papers have used single-valued characteristics for magnetic cores and ignored hysteresis effects. In this paper, some modeling methods of magnetic core characteristics are reviewed and the results of a ferroresonance test on a 33 kV voltage transformer are presented. Using the results of the voltage transformer no-load test, the magnetization characteristic is obtained and the magnetic core is modeled by various methods. The comparison between the experimental and simulation results shows that in analysis of some ferroresonance cases, the aspect of inherent variation of inductance in hysteresis loops is more important than the power loss introduced by these loops. Therefore, in such cases, the core characteristic must be represented by a hysteretic model. Otherwise, the simulation results may present significant errors","PeriodicalId":267582,"journal":{"name":"2006 IEEE Power Engineering Society General Meeting","volume":"819 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116420870","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":"Deriving asset probabilities of failure: effect of condition and maintenance levels","authors":"G. Anders, S. Otal, T. Hjartarson","doi":"10.1109/PES.2006.1708961","DOIUrl":"https://doi.org/10.1109/PES.2006.1708961","url":null,"abstract":"This paper describes how asset probabilities of failure can be derived from life expectancy curves that are based on asset age, failure data and specific asset knowledge. It is shown how asset failure probabilities can then be adjusted for individual assets through measurement of the actual asset condition by the application of Health Indices. This allows utilities to focus their attention on the highest risk assets and put in place the optimal strategies for intervention to mitigate risks. Such strategies may include adoption of optimal maintenance policies and the paper also presents an overview of a mathematical model for analyzing the effect of maintenance on failure probabilities and overall costs","PeriodicalId":267582,"journal":{"name":"2006 IEEE Power Engineering Society General Meeting","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122441090","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":"Web-services infrastructure for information integration in power systems","authors":"Qizhi Chen, H. Ghenniwa, W. Shen","doi":"10.1109/PES.2006.1709387","DOIUrl":"https://doi.org/10.1109/PES.2006.1709387","url":null,"abstract":"This paper identifies new information integration requirements related to operation, marketing, and maintenance of a power system. A Web-services infrastructure for information integration in power systems is proposed. The objective is to develop an open, flexible, and scaleable framework with higher cooperation and integration capability. Some design issues for implementing a Web services-based SCADA (WS-SCADA) are addressed as a case study of this novel infrastructure","PeriodicalId":267582,"journal":{"name":"2006 IEEE Power Engineering Society General Meeting","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122501199","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. Tran, J. Kwon, Jaeseok Choi, D. Jeon, G. Han, R. Billinton
{"title":"Sensitivity analysis of probabilistic reliability evaluation of Korea power system","authors":"T. Tran, J. Kwon, Jaeseok Choi, D. Jeon, G. Han, R. Billinton","doi":"10.1109/PES.2006.1709365","DOIUrl":"https://doi.org/10.1109/PES.2006.1709365","url":null,"abstract":"Reliability and power quality have been increasingly important in recent years due to the number of black-out events occurring through in the world. Quantity evaluation of transmission system reliability is very important in a competitive electricity environment. The reason is that the successful operation of electric power under a deregulated electricity market depends on transmission system reliability management. This paper presents sensitivity analysis of probabilistic reliability evaluation of Korea power system in long-term planning (2005-2010) by using the transmission reliability evaluation for large-scale systems (TRELSS) program. The case studies present the probabilistic reliability evaluation indices of practical Korea power system as applied TRELSS which has determined optimally control input parameters with Korea power system","PeriodicalId":267582,"journal":{"name":"2006 IEEE Power Engineering Society General Meeting","volume":"359 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122954752","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}