Faculty of Electrical Engineering and Information Technologies
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Item type:Publication, Uncertain Switched Fuzzy Systems: A Robust Output Feedback Control Design(Springer International Publishing, 2016) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Decentralized Control of Complex Dynamic Systems Employing Function Emulation by Neural Networks(Springer International Publishing, 2016) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, DETECTION OF EPILEPSY USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM(Ss. Cyril and Methodius University in Skopje, Faculty of Electrical Engineering and Information Technologies, 2018-12-27) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Superior Performance of Switched Fuzzy Control Systems: An Overview and Simulation Experiments(UK Simulation Society, 2011-04-30) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Influence of the State Space Partitioning into Regions when Designing Switched Fuzzy Controllers(University of Niš, Serbia, 2010) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Classifying Power Quality Disturbances in Noisy Conditions using Machine Learning(The Jozhef Stefan Institute, 2019-10) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Modeling the arrangement of turbines for onshore wind power plants under varying wind conditions(Wind Integration, 2018-10); ; ; ; Fickert, LotharWind field layout optimization concerning various parameters is a major point in planning and will influence the revenue for the whole life of the installation. Besides the obvious impact of wind distribution also other parameters like connection costs and levelized costs of energy influence the optimum layout and have to be included in a realistic optimization algorithm. In this paper the sophisticated optimization of wind field layout with of two fundamentally different heuristic algorithms is investigated. To do so, detailed real-world data from an existing wind field in Bogdanci, Macedonia is utilized by employing real wind field data we are able to calibrate model adequacy and ascertain a model that will serve as a referent guidance in the planning of future onshore wind fields. Different layouts were designed using sophisticated algorithms for handling the resulting high-dimensional, highly nonlinear optimization problem. In particular, a nondominated sorting genetic algorithm (NSGA) and a mixed discrete particle swarm optimization algorithm (MD-PSO) were applied. Both optimization algorithms established bi-objective fitness functions, in particular- minimizing the levelized cost of energy and maximizing the capacity factor. By comparing the results obtained with the existing layout, it is established that both optimization algorithms are adequate in determination of wind power plant layouts. It is proven that the implementation of sophisticated optimization methods can results in essential savings during the whole lifetime of the wind field. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Uncertainty Evaluation in Resource Assessment of Wind Energy Potential(WindEurope, 2019-06); The decision for exploitation wind for electrical energy production is based on assignment of its long-term mean speed and distribution parameters. This data is usually obtained from a measurement campaign with a short duration. Taking into account the real characteristics of the instrumentation, such as it is: accuracy, finite resolution, dynamic response, it is obvious that the measurements will provide information with appended uncertainty. Next, the wind speed obtained from a measurement campaign is supposed to be extrapolated in long-term period. The extrapolation possess its own uncertainty component as well. Additionally, uncertainty is present because of terrain's characteristics of the observed site. The overall uncertainty prescribed to a long-term wind speed can be easily transferred to the Weibull distribution scale and shape parameters, These uncertainties, on the other hand, lead to uncertainty existence in the calculated mean annual energy production. Several other factors affect the estimated energy production, such as turbine efficiency, and the characteristics provided by the manufacturer, especially the power curve. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Reducing Uncertainty in Wind Energy Resource Assessment by using Multivariable Distribution Model(WindEurope, 2019-06); ; Demerdziev, KirilHaving reliable and precise wind energy resource assessment is essential for further analysis for conversion of wind energy into electricity. Previous practices that are common for representing wind data by sector-wise Weibull distribution, over time have been replaced with different multivariate and multimodal wind distribution models which are far more precise. The paper presents an upgraded model for accurate characterization and predict the annual variation of wind conditions. It is proven that the assumption of a constant air density value, can lead to notable differences between the predicted and real wind power available at a given site. Therefore, along with the main wind parameters, speed and direction, air density treated as a variable in this paper. The method, based on the Multivariate Kernel Distribution model, is an improvement of the existing methods for representing the wind regimes. Before representing the multivariable wind distribution, a piecewise Bivariate probability density function is constructed. It is important to note that when modelling wind with sector-wise Weibull, we are assuming that the wind speed satisfies the same probability distribution inside a direction sector. Following, a Bivariate probability density function using piecewise joint distribution is carried out. Namely, this distribution contains all input parameters for calculating the multivariable Kernel distribution. For comparison of these two distributions, coefficients of determination are used. From Kernel's probability distribution function, the three parameters of the wind (speed, direction and air density) are further treated as continuous variables, which facilitates and refines all further steps for optimizing the distribution of wind turbines in one wind farm. Aside of the other advantages, this model provides information on strengths of wind speeds and the energy content in them, it also enables selection of the appropriate type of wind turbine design for deployment at a given location. The measured wind data used in this paper are from one existing wind farm and one wind measuring station with a good potential for further investigation. By this approach, we can calibrate model adequacy and ascertain a model that will serve as a referent guidance in the planning of future onshore wind farms. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Trends in the development of wind generation systems(MAKO CIGRE, 2019-10); The rapid technology development for utilization of wind energy, requires constant improvement of the mechanisms that make the conversion of this energy into electricity. For these reasons, it is necessary to continuously monitor the state and trends of the development of wind energy conversion systems. The paper provides an overview of the latest technological developments of multi megawatt wind generators. In addition, the technological and economic advantages and disadvantages of each wind energy conversion system are analyzed. At the same time, a comparative analysis of several types of wind generators has been made, based on: weight, material types, axial length of the generator, rotor diameter and energy yield. This comparison is appropriate for detecting and defining the adequate structure of a higher installed power generating system for both- onshore and offshore wind fields. In addition, the latest improvement and optimal techniques of wind generators, their operation in faulty conditions, the ways of networking, as well as their application to wind turbines with high installed power are shown. This review offers the opportunity to understand the procedures for future design of wind fields, consisting of multi-megawatt units for conversion of wind energy,