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    The Adaptive Chaotic Symbiotic Organisms Search Algorithm Proposal for Optimal Reactive Power Dispatch Problem in Power Systems
    (Istanbul Univ-Cerrahapasa, 2019) Yalcin, Enes; Taplamacioglu, M. Cengiz; Cam, Ertuogrul
    This paper presents an adaptive chaotic symbiotic organisms search algorithm (A-CSOS) for finding the solution of optimal reactive power dispatch (ORPD) problem which is one of the main issues of power system planning and operations. The most important advantage of symbiotic organisms search algorithm (SOS) is that is not need any particular algorithm parameters. However, the SOS algorithm has some features to be enhanced, like falling into local minima and sluggish convergence. A-CSOS algorithm with adding new and improved features like adaptivity and chaos to conventional SOS algorithm is proposed to solve ORPD problem. The ORPD problem is mainly focused on minimization of transmission loss (Ploss) and total voltage deviation (TVD). To determine the optimal set points of control variables including generator bus voltages, tap positions of transformers, and reactive power outputs of shunt VAR compensators is very crucial for minimization to Ploss and TVD. The proposed algorithm is implemented on IEEE 30-bus test power systems for ascertaining the performance of A-CSOS algorithm on ORPD problem. The results showed that the proposed approach is up to 10.39% better than many of which the latest algorithms in literature and encourage the researchers to implement A-CSOS algorithm to ORPD problem.
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    Economic Load Dispatch Using Vortex Search Algorithm
    (Ieee, 2017) Saka, Mustafa; Eke, Ibrahim; Tezcan, Suleyman Sungur; Taplamacioglu, M. Cengiz
    Economic load dispatch (ELD) is one of most fundamental issue for energy generation and distribution in power systems. For this purpose, different optimization techniques are developed and applied to ELD problem. In this paper, vortex search algorithm (VSA) is proposed and used for solving ELD problem. VSA method was developed from nature by observing the state of stirring liquids. Transmission losses, valve point loading effect, ramp rate limits and prohibited operating zone constraints are considered to solve ELD problem with VSA method. The feasibility and effectivity of this method is demonstrated for different cases. Obtained results are compared with different developed algorithms and these results clearly point out that proposed VSA method gives successfully outputs.
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    Effect of Electrical Vehicles Participation Rate on Time Delayed Load Frequency Control
    (Institute of Electrical and Electronics Engineers Inc., 2023) Saka, Mustafa; Demirci, Merve; Eke, Ibrahim; Gozde, Haluk; Dursun, Mahir; Taplamacioglu, M. Cengiz
    In this paper, the participation rates of electric vehicles (EVs) connected to the power system in load frequency control (LFC) performances have been examined. In addition, different communication time delays (CTDs) have been implemented to system model (for both plant and EVs side) for obtained realistic results. The analyzes have been carried out for the proportional-integral-derivative controller having derivative filter coefficient (PID-N). In order to find optimal PID-N controller parameters, recently developed Equilibrium Optimizer (EO) technique have been selected and applied. The analyzes have been performed for various participation rate of EVs and the results have been compared with respect to overshoot, undershoot and settling time values. The contributions of electrical vehicles on load frequency control system performances have been demonstrated for two different cases within this study. © 2023 IEEE.
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    Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines
    (Elsevier Sci Ltd, 2015) Kaytez, Fazil; Taplamacioglu, M. Cengiz; Cam, Ertugrul; Hardalac, Firat
    Accurate 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.
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    Heuristic optimization based dynamic weighted state feedback approach for 2DOF PI-controller in automatic voltage regulator
    (Elsevier - Division Reed Elsevier India Pvt Ltd, 2021) Eke, Ibrahim; Saka, Mustafa; Gozde, Haluk; Arya, Yogendra; Taplamacioglu, M. Cengiz
    The intelligent, robust and reliable control of Automatic Voltage Regulator is essential to maintain a constant voltage level of synchronous generator working under different operating conditions. The heuristic optimization based 2DOF state-feedback PI-controller which regulates voltage output of synchronous generators markedly towards severe and continuous disturbances by using amplifier output as an additional feedback is a recent and powerful AVR strategy. In this study, to provide elasticity of dynamic response of this AVR scheme against relatively severe and continuous disturbances, its state-feedbacks are dynamically weighted by the flexible coefficients. Indeed, when the curves of the weight coefficients versus step disturbance are investigated, it is observed that while the disturbance increases, the weight coefficients also rise the effect of amplifier feedback automatically in order to regulate the voltage output of the AVR. The novel dynamic weighting approach increases the system performance between 9.48% and 19.65% for different working conditions. After robustness and stability analyses, a suggestion for real implementation scheme is presented and interpreted. (c) 2021 Karabuk University. Publishing services by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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    Neural network based heuristic fractional order adaptive PID-controller for eliminating communication time delay in multi-area LFC
    (Wiley, 2022) Saka, Mustafa; Gozde, Haluk; Eke, Ibrahim; Taplamacioglu, M. Cengiz
    Communication of interconnected power system components with each other and with control centers is provided by using various communication links. However, these links can cause significant time delays (TD) depending on the types, distance and conditions of the communication channel. In addition to temporary time delays caused by the time constants of the components due to system failures, this article draws attention to the negative effects that may be caused by permanent communication time delays in particular, as different from the literature. The communication time delays can disrupt the stable operation of power systems and even cause the whole system to breakdown by making it unstable, when combining with other delays. In the study, the fiber-optic (F/O) links are assumed to commonly use in supervisory control and data acquisition (SCADA) systems and the communication time delays are calculated based on this scenario. However, it is no doubt that less used radio frequency (RF)-links will create more time delays. Moreover, to eliminate the negative effects of these types of time delays, a novel neural network based-heuristic fractional order hybrid adaptive proportional-integral-derivative (ML-H-(PID mu)-D-lambda) controller for multi area load frequency control (LFC) scheme is developed and analyzed.