Browsing by Author "Ayan K."
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Item A new approach for optimal reactive power flow solution of multi-terminal HVDC systems using genetic algorithm(2013) Kiliç U.; Ayan K.Optimal reactive power flow (ORPF) is one of the known problems of the power systems. Many numerical and heuristic methods were used to solve this problem so far. As seen from these studies in literature, heuristic methods are more effective and faster than numerical methods. This case is to make more attractive and mandatory the using of heuristic methods in optimal power flow solution of High Voltage Direct Current (HVDC) systems. In this study, ORPF solution of multi-terminal HVDC systems is accomplished by using the genetic algorithm (GA) that is one of the heuristic methods. A new approach is used in opposition to the current-balancing method used mostly in literature for the first time. The proposed approach is tested on the modified IEEE 14-bus test system. The obtained results are compared to that reported in the literature to show validity and effectiveness of the new approach. © 2013 IEEE.Item Transient stability constrained optimal power flow solution of ac-dc systems using genetic algorithm(2013) Kiliç U.; Ayan K.Optimal power flow (OPF) is one of the known problems of the power systems. Many numerical and heuristic methods were used to solve this problem so far. As seen from these studies in literature, heuristic methods are more effective and faster than numerical methods. This case is to make more attractive and mandatory the using of heuristic methods in optimal power flow solution of High Voltage Direct Current (HVDC) systems. In this study, transient stability constrained optimal power flow solution of alternating current-direct current (AC-DC) systems is accomplished by using the genetic algorithm (GA) that is one of the heuristic methods for the first time. The proposed approach is tested on modified New England 39-bus test system. © 2013 IEEE.Item Optimizing reactive power flow of HVDC systems using genetic algorithm(2014) Kiliç U.; Ayan K.; Arifoǧlu U.Due to the usage of high voltage direct current (HVDC) transmission links extensively in recent years, it requires more studies in this issue. Two-terminal HVDC transmission link is one of most important elements in electrical power systems. Generally, the representation of HVDC link is simplified for optimal reactive power flow (ORPF) studies in power systems. ORPF problem of purely AC power systems is defined as minimization of power loss under equality and inequality constraints. Hence, ORPF problem of integrated AC-DC power systems is extended to incorporate HVDC links taking into consideration power transfer control characteristics. In this paper, this problem is solved by genetic algorithm (GA) that is an evolutionary-based heuristic algorithm for the first time. The proposed method is tested on the modified IEEE 14-bus test system, the modified IEEE 30-bus test system, and the modified New England 39-bus test system. The validity, the efficiency, and effectiveness of the proposed method are shown by comparing the obtained results with that reported in literature. Thus, the impact of DC transmission links on the whole power systems is shown. © 2013 Elsevier Ltd. All rights reserved.Item Chaotic artificial bee colony algorithm based solution of security and transient stability constrained optimal power flow(Elsevier Ltd, 2015) Ayan K.; Kiliç U.; Barakli B.Due to the increase rapidly of electricity demand and the deregulation of electricity markets, the energy networks are usually run close to their maximum capacity to transmit the needed power. Furthermore, the operators have to run the system to ensure its security and transient stability constraints under credible contingencies. Security and transient stability constrained optimal power flow (STSCOPF) problem can be illustrated as an extended OPF problem with additional line loading and rotor angle inequality constraints. This paper presents a new approach for STSCOPF solution by a chaotic artificial bee colony (CABC) algorithm based on chaos theory. The proposed algorithm is tested on IEEE 30-bus test system and New England 39-bus test system. The obtained results are compared to those obtained from previous studies in literature and the comparative results are given to show validity and effectiveness of proposed method. © 2014 Elsevier Ltd. All rights reserved.Item Artificial bee colony algorithm based optimal reactive power flow of two-terminal HVDC systems(Turkiye Klinikleri Journal of Medical Sciences, 2016) Kiliç U.; Ayan K.This paper presents a solution technique for the optimal reactive power flow (ORPF) of alternating current- direct current (AC-DC) power systems using the artificial bee colony (ABC) algorithm. A high voltage direct current (HVDC) transmission link is one of the most important network components in AC-DC power systems. In recent years there has been an increasing number of studies related to power systems with HVDC transmission links. One of them is the reactive power flow (RPF) optimization. The aim of ORPF in alternating current (AC) or AC-DC power systems is to minimize transmission line power loss under equality and inequality constraints. The relationships related to the HVDC link are incorporated into AC power system equations considering its power transfer characteristics. This paper contributes to the solution of the problem by using the ABC algorithm for the first time. The proposed method is examined on three test systems and its effectiveness in these kinds of applications is shown by the comparative results. © TÜBİTAK.Item Optimal power flow of two-terminal HVDC systems using backtracking search algorithm(Elsevier Ltd, 2016) Ayan K.; Kiliç U.This paper presents a solution technique for optimal power flow (OPF) of high-voltage direct current (HVDC) power systems using a backtracking search algorithm (BSA). BSA is a population-based evolutionary algorithm (EA), and it is not sensitive to initial conditions, contrary to most other meta-heuristic algorithms. The proposed algorithm is applied to three different test systems as follows: the modified 5-bus test system, the modified WSCC 9-bus test system, and the modified New England 39-bus test system. As a result of the simulations, minimum, maximum, and average production costs and CPU times are obtained for different cases of each of the three test systems. These results are also compared to those of the Artificial Bee Colony (ABC) algorithm, the Genetic Algorithm (GA), and the unified method provided in literature. In regard to the comparative results, it can be said that the proposed method has a shorter CPU time and is more efficient than the others. Thus, the applicability and efficiency of the proposed method in this field are demonstrated. © 2015 Elsevier Ltd. All rights reserved.