1,721,005 research outputs found
Optimal operational scheduling of a virtual power plant participating in day-ahead market with consideration of emission and battery degradation cost
No full textCam, Ertugrul/0000-0001-6491-9225; AKKAS, OZGE PINAR/0000-0001-5704-4678In this article, optimal operation of a virtual power plant (VPP) composed of a wind power plant, a photovoltaic power plant, a combined heat and power plant, a heat-only unit, and battery energy storage system is analyzed for day-ahead market. The aim is to adjust the entire generation system for maximum profit and minimum emissions to ensure that the future of the world is clean and investors are not harmed. For these reasons, data obtained from studies in the literature are used in a 24-hour time period. In addition to the four application cases of VPPs, which are mostly discussed in the literature, a fifth case has been proposed in order to be more realistic. All cases and models are modeled and analyzed in the General Algebraic Modeling System (GAMS) software by using the LINDO solver, which has not been used before in previous studies for this problem. Also, battery degradation cost and effects of depth of discharge and temperature are included in the objective function of the VPP model both to provide reality and observe their effects. As a result of this study, it has been shown that the profit of the VPP can be increased while the emission is reduced.Kirikkale University Scientific Research and Projects Coordination OfficeKirikkale University [2018/009]This work is supported by Kirikkale University Scientific Research and Projects Coordination Office with the grant number 2018/009
Control of Pitch Angle of Wind Turbine by Fuzzy Pid Controller
No full textLUY, Murat/0000-0002-2378-0009; Cam, Ertugrul/0000-0001-6491-9225; BARISCI, Necaattin/0000-0002-8762-5091This article presents a study on set of PID parameters of blade pitch angle controller of wind turbine with fuzzy logic algorithm. Three individual control methods were used to control the wind turbine pitch angle. These control methods are conventional PI, fuzzy and fuzzy PID. With the use of these control methods, the system was protected from possible harms in high wind speed region and maintained changing of nominal output power. It was aimed to the control the wind turbine blade pitch angle in different wind speeds and to hold the output power stable in the set point by simulation of controllers with Matlab/Simulink Software. By evaluating the steady state time of output power received from the simulation results and steady state errors, the performances of the control systems have been measured and compared with one another. As a result of these simulation comparisons, it is clear that fuzzy PID controller performed better than PI and Fuzzy Controller
Use of the Genetic Algorithm-Based Fuzzy Logic Controller for Load-Frequency Control in a Two Area Interconnected Power System
Full text linkCam, Ertugrul/0000-0001-6491-9225; Gorel, Goksu/0000-0002-2852-5760The use of renewable energy resources has created some problems for power systems. One of the most important of these is load frequency control (LFC). In this study, in order to solve the LFC problem, modern control methods were applied to a two area multi source interconnected power system. A photovoltaic solar power plant (PV-SPP) was also connected, in order to identify the harmful effects on the frequency of the system. A new Genetic-based Fuzzy Logic (GA-FL) controller was designed to control the frequency of the system. For comparison, conventional proportional-integral-derivative (PID), fuzzy logic (FL), and Genetic Algorithm (GA)-PID controllers were also designed. The new control method exhibited a better performance than the conventional and other modern control methods, because of the low overshoot and short settling time. All simulations were realized with the Matlab-Simulink program
Proportional-integral-derivative parameter optimisation of blade pitch controller in wind turbines by a new intelligent genetic algorithm
No full textLUY, Murat/0000-0002-2378-0009; Cam, Ertugrul/0000-0001-6491-9225Output powers of wind turbines (WTs) with variable blade pitch over nominal wind speeds are controlled by means of blade pitch adjustment. While tuning the blade pitch, conventional proportional-integral-derivative (PID) controllers and some intelligent genetic algorithms (IGAs) are widely used in hot systems. Since IGAs are community-based optimisation methods, they have an ability to look for multi-point solutions. However, the PID parameter setting optimisation of the IGA controllers is important and quite difficult a step in WTs. To solve this problem, while the optimisation is carried out by regulating mutation rates in some IGA controllers, the optimisation is conducted by altering crossover point numbers in others. In this study, a new IGA algorithm approach has been suggested for the PID parameter setting optimisation of the blade pitch controller. The algorithm rearranging both the mutation rate and the crossover point number together according to the algorithm progress has been firstly used. The new IGA approach has also been tested and validated by using MATLAB/Simulink software. Then, its superiority has been proved by comparing the other genetic algorithm (GAs). Consequently, the new IGA approach has more successfully adjusted the blade pitch of a WT running at higher wind speeds than other GA methods.Scientific and Technological Research Council of TURKEY (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [114E419]This project was supported by the Scientific and Technological Research Council of TURKEY (TUBITAK) under Grant 114E419 ('Design, optimization and experimental verification of a permanent magnet synchronous generator with external rotor, maximum power and minimum cogging torque')
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines
No full textCam, Ertugrul/0000-0001-6491-9225Accurate electricity consumption forecast has primary importance in the energy planning of the developing countries. During the last decade several new techniques are being used for electricity consumption planning to accurately predict the future electricity consumption needs. Support vector machines (SVMs) and least squares support vector machines (LS-SVMs) are new techniques being adopted for energy consumption forecasting. In this study, the LS-SVM is implemented for the prediction of electricity energy consumption of Turkey. In addition to the traditional regression analysis and artificial neural networks (ANNs) are considered. In the models, gross electricity generation, installed capacity, total subscribership and population are used as independent variables using historical data from 1970 to 2009. Forecasting results are compared using diverse performance criteria in this study with each other. Receiver operating characteristic (ROC) analysis is realized for determining the specificity and sensitivity of the empirical results. The results indicate that the proposed LS-SVM model is an accurate and a quick prediction method. (C) 2014 Elsevier Ltd. All rights reserved.Ministry of Energy and Natural Resources of Turkey (MENR), TURKSTAT, TETC, TEDCMinistry of Energy & Natural Resources - TurkeyThe authors are grateful for the support provided for the present work by the Ministry of Energy and Natural Resources of Turkey (MENR), TURKSTAT, TETC, TEDC
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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