مدل جامع قابليت اطمينان مزارع بادي در ابعاد بسيار بزرگ براي ارزيابي كفايت توليد در سيستم قدرت

چكيده انگليسي :

102 Comprehensive reliability model of very large scale wind farms for generation adequacy assessment of power systems Ali Eslami ali eslami@ec iut ac ir 2018 12 25 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language FarsiDr Akbar Ebrahimi Ebrahimi@cc iut ac irAbstract The consistently growing usage of wind power resources and the replacement of conventional thermalpower plants with large scale wind farms has a considerable impact on power system reliability and itsgeneration adequacy This impact is due to the intermittent and variable nature of the wind speed whichcauses a very changing transient and random power generation by the wind turbines One of the most commonly used methods for modeling the reliability of power systems including windfarms is the Markov method The main advantage of this method is its ability to model the repairablesystems and to consider the failure and repair rates of the system components but with increasing number ofsystem elements the number of model states increases exponentially So it has a heavy computing burdensuch that the modeling of systems having more than a certain number of components is impossible On theother hand the use of the Universal Generating Function method has also been proposed in recent years tomodel the reliability of wind farms in large dimensions but the model derived from this method is limited tothe evaluation of probabilistic reliability indices such as loss of load probability loss of load expectation andexpected energy not supplied and so on and it is not capable for evaluation of the frequency based reliabilityindices However in the high penetration of wind power evaluation of the frequency based indices is ofparticular importance In this study in order to assess the generation adequacy of the power system a new analytical methodbased on the development of the Universal Generating Function UGF is proposed to model the reliability oflarge scale wind farms that addresses both the problem posed by the above methods and provides acomprehensive model for estimating the probability and frequency indices of generation adequacy in thepresence of very large wind farms This method is called Comprehensive Universal Generating Function CUGF In the proposed method effective factors in modeling the reliability of wind farms such as windspeed variations the correlation between wind speed and turbines output power and forced outage rate FOR of turbines are separately modeled and then combined together Thus a comprehensive vectorfunction for conducting different analyzes is obtained In this way if the number of turbines increases thenumber of model states does not increase exponentially In addition the lower number of states in theproposed method reduces the computational burden and subsequently increases the computational speed Bythe proposed method the states probability and transition rates between states are simultaneously modeled inthe reliability vector function of the generation system and resolves the major drawback of the UGF methodin evaluation of the system frequency indices In order to demonstrate the performance and effectiveness ofthe proposed method sample wind farms are modeled in a variety of sizes from small to very large by theproposed method and compared with the Markov model for the number of states computational burden andefficiency Then by adding some of these sample wind farms to the RBTS and IEEE RTS test systems andusing their constructed models by the CUGF different probability and frequency based indices of these

اسلامي، علي

مدل جامع قابليت اطمينان مزارع بادي در ابعاد بسيار بزرگ براي ارزيابي كفايت توليد در سيستم قدرت

مدل سازي قابليت اطمينان , كفايت سيستم توليد , مزارع بادي بسيار بزرگ , تابع مولد فراگير , روش ماركوف