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Renewable distributed generation and energy storage systems (ESSs) have been a gamechanger for a reliable and sustainable energy supply. However, this new type of generation should be optimally planned and operated to maximize the expected benefits. In this regard, this paper presents a new formulation for optimal allocation and sizing of distributed energy resources and operation of ESSs to improve the voltage profiles and minimize the annual costs. The multi-objective multiverse optimization method (MOMVO) is used as a solution tool. Moreover, the resulting Pareto optimal solution set is minimized under economic concerns and cost sensitivity to provide a decision-support for the utilities. The proposed formulation and solution algorithm are tested for the revised 33-bus and 69-bus test systems where the load and renewable generation characteristics are taken from real Turkish data. When compared with the base case operating conditions, the proposed formulation eliminated all the voltage magnitude violations, and provided almost 50% loss reductions and 20% energy transfers to off-peak hours. Moreover, Pareto fronts of the proposed method are found to better than the ones provided by non dominated sorting genetic algorithm and multi-objective particle swarm optimization, according to two multi-objective optimization metrics.
Bahman Ahmadi; Oguzhan Ceylan; Aydogan Ozdemir. A multi-objective optimization evaluation framework for integration of distributed energy resources. Journal of Energy Storage 2021, 41, 103005 .
AMA StyleBahman Ahmadi, Oguzhan Ceylan, Aydogan Ozdemir. A multi-objective optimization evaluation framework for integration of distributed energy resources. Journal of Energy Storage. 2021; 41 ():103005.
Chicago/Turabian StyleBahman Ahmadi; Oguzhan Ceylan; Aydogan Ozdemir. 2021. "A multi-objective optimization evaluation framework for integration of distributed energy resources." Journal of Energy Storage 41, no. : 103005.
One of the most encouraging sorts of renewable energy is ocean wave energy. In spite of a large number of investigations in this field during the last decade, wave energy technologies are recognised as neither mature nor broadly commercialised compared to other renewable energy technologies. In this paper, we develop and optimise Power Take-off (PTO) configurations of a well-known wave energy converter (WEC) called a point absorber. This WEC is a fully submerged buoy with three tethers, which was proposed and developed by Carnegie Clean Energy Company in Australia. Optimising the WEC’s PTO parameters is a challenging engineering problem due to the high dimensionality and complexity of the search space. This research compares the performance of five state-of-the-art metaheuristics (including Covariance Matrix Adaptation Evolution Strategy, Gray Wolf optimiser, Harris Hawks optimisation, and Grasshopper Optimisation Algorithm) based on the real wave scenario in Sydney sea state. The experimental achievements show that the Multiverse optimisation (MVO) algorithm performs better than the other metaheuristics applied in this work.
Erfan Amini; Danial Golbaz; Rojin Asadi; Mahdieh Nasiri; Oğuzhan Ceylan; Meysam Majidi Nezhad; Mehdi Neshat. A Comparative Study of Metaheuristic Algorithms for Wave Energy Converter Power Take-Off Optimisation: A Case Study for Eastern Australia. Journal of Marine Science and Engineering 2021, 9, 490 .
AMA StyleErfan Amini, Danial Golbaz, Rojin Asadi, Mahdieh Nasiri, Oğuzhan Ceylan, Meysam Majidi Nezhad, Mehdi Neshat. A Comparative Study of Metaheuristic Algorithms for Wave Energy Converter Power Take-Off Optimisation: A Case Study for Eastern Australia. Journal of Marine Science and Engineering. 2021; 9 (5):490.
Chicago/Turabian StyleErfan Amini; Danial Golbaz; Rojin Asadi; Mahdieh Nasiri; Oğuzhan Ceylan; Meysam Majidi Nezhad; Mehdi Neshat. 2021. "A Comparative Study of Metaheuristic Algorithms for Wave Energy Converter Power Take-Off Optimisation: A Case Study for Eastern Australia." Journal of Marine Science and Engineering 9, no. 5: 490.
Overvoltage is one of the issues in distribution grids with high penetration of photovoltaics (PVs). Centralized or droop-based methods of active power curtailment (APC) and/or reactive power control of PVs are viable solutions to prevent overvoltage. This article proposes two distributed methods to control PV inverters, which are based on nodal sensitivities. Then, the performance of the proposed methods is compared with two commonly used control methods, i.e., a distributed method that follows IEEE-1547 but uses arbitrarily chosen droops and a centralized optimal power flow (OPF) based method. Performance is evaluated using a 730-node feeder with up to 100% penetration of inverters. Based on the case studies, the key findings are: first, local droop setting as per IEEE-1547, whether the droops are arbitrarily chosen or systematically calculated using sensitivities, can eliminate overvoltage if reactive power control and APC are coordinated, second, the proposed sensitivity-based approach yields the best voltage performance index computed based on voltage profile compared to the maximum allowed upper bound, and third, OPF-based method is desirable if communication infrastructure exists and minimum energy curtailment is sought.
Oguzhan Ceylan; Sumit Paudyal; Ioana Pisica. Nodal Sensitivity-Based Smart Inverter Control for Voltage Regulation in Distribution Feeder. IEEE Journal of Photovoltaics 2021, 11, 1105 -1113.
AMA StyleOguzhan Ceylan, Sumit Paudyal, Ioana Pisica. Nodal Sensitivity-Based Smart Inverter Control for Voltage Regulation in Distribution Feeder. IEEE Journal of Photovoltaics. 2021; 11 (4):1105-1113.
Chicago/Turabian StyleOguzhan Ceylan; Sumit Paudyal; Ioana Pisica. 2021. "Nodal Sensitivity-Based Smart Inverter Control for Voltage Regulation in Distribution Feeder." IEEE Journal of Photovoltaics 11, no. 4: 1105-1113.
Renewable energy sources are installed into both distribution and transmission grids more and more with the introduction of smart grid concept. Hence, efficient usage of cascaded H-bridge multilevel inverters (MLIs) for power control applications becomes vital for sustainable electricity. Conventionally, selective harmonic elimination equations need to be solved for obtaining optimum switching angles of MLIs. The objective of this study is to obtain switching angles for MLIs to minimize total harmonic distortion. This study contributes to the solution of this problem by utilizing two recently developed intelligent optimization algorithms: multi-verse optimization algorithm and salp swarm algorithm. Moreover, well-known particle swarm optimization is utilized for MLI optimization problem. Seven-level, 11-level and 15-level MLIs are used to minimize total harmonic distortions. Simulation results with different modulation indexes for seven-, 11- and 15-level MLIs are calculated and compared in terms of the accuracy and solution quality. Numerical calculations are verified by using MATLAB/Simulink-based models.
Oğuzhan Ceylan. Multi-verse optimization algorithm- and salp swarm optimization algorithm-based optimization of multilevel inverters. Neural Computing and Applications 2020, 33, 1935 -1950.
AMA StyleOğuzhan Ceylan. Multi-verse optimization algorithm- and salp swarm optimization algorithm-based optimization of multilevel inverters. Neural Computing and Applications. 2020; 33 (6):1935-1950.
Chicago/Turabian StyleOğuzhan Ceylan. 2020. "Multi-verse optimization algorithm- and salp swarm optimization algorithm-based optimization of multilevel inverters." Neural Computing and Applications 33, no. 6: 1935-1950.
Microgrids are composed of distributed energy resources (DERs), storage devices, electric vehicles, flexible loads and so on. They may either operate connected to the main electricity grid (on-grid operation) or separated from the grid (islanded operation). The outputs of the renewable energy sources may fluctuate and thus can cause deviations in the voltage magnitudes especially at islanded mode. This may affect the stability of the microgrids. This paper proposes an optimization model to efficiently manage controllable devices in microgrids aiming to minimize the voltage deviations both in on-grid and islanded operation modes. RSE Distributed Energy Resources Test Facility (DER-TF), which is a low voltage microgrid system in Italy, is used to verify the algorithm. The test system’s data is taken through an online software system (REDIS) and a harmony search based optimization algorithm is applied to control the device parameters. The experimental results show that the harmony search based optimization approach successfully finds the control parameters, and can help the system to obtain a better voltage profile.
Oğuzhan Ceylan; Mustafa Erdem Sezgin; Murat Göl; Maurizio Verga; Riccardo Lazzari; Marcel Pendieu Kwaye; Carlo Sandroni. Harmony Search Algorithm Based Management of Distributed Energy Resources and Storage Systems in Microgrids. Applied Sciences 2020, 10, 3252 .
AMA StyleOğuzhan Ceylan, Mustafa Erdem Sezgin, Murat Göl, Maurizio Verga, Riccardo Lazzari, Marcel Pendieu Kwaye, Carlo Sandroni. Harmony Search Algorithm Based Management of Distributed Energy Resources and Storage Systems in Microgrids. Applied Sciences. 2020; 10 (9):3252.
Chicago/Turabian StyleOğuzhan Ceylan; Mustafa Erdem Sezgin; Murat Göl; Maurizio Verga; Riccardo Lazzari; Marcel Pendieu Kwaye; Carlo Sandroni. 2020. "Harmony Search Algorithm Based Management of Distributed Energy Resources and Storage Systems in Microgrids." Applied Sciences 10, no. 9: 3252.
Hyperspectral images include hundreds of spectral bands, adjacent ones of which are often highly correlated and noisy, leading to a decrease in classification performance as well as a high increase in computational time. Dimensionality reduction techniques, especially the nonlinear ones, are very effective tools to solve these issues. Locality preserving projection (LPP) is one of those graph based methods providing a better representation of the high dimensional data in the low-dimensional space compared to linear methods. However, its performance heavily depends on the parameters of the affinity matrix, that are k-nearest neighbor and heat kernel parameters. Using simple methods like grid-search, optimization of these parameters becomes very computationally demanding process especially when considering a generalized heat kernel, including an exclusive parameter per feature in the high dimensional space. The aim of this paper is to show the effectiveness of the heuristic methods, including harmony search (HS) and particle swarm optimization (PSO), in graph affinity optimization constructed with a generalized heat kernel. The preliminary results obtained with the experiments on the hyperspectral images showed that HS performs better than PSO, and the heat kernel with multiple parameters achieves better performance than the heat kernel with a single parameter.
Oguzhan Ceylan; Gulsen Taskin. Optimization of Graph Affinity Matrix with Heuristic Methods in Dimensionality Reduction of Hypespectral Images. 2019 27th Signal Processing and Communications Applications Conference (SIU) 2019, 1 -4.
AMA StyleOguzhan Ceylan, Gulsen Taskin. Optimization of Graph Affinity Matrix with Heuristic Methods in Dimensionality Reduction of Hypespectral Images. 2019 27th Signal Processing and Communications Applications Conference (SIU). 2019; ():1-4.
Chicago/Turabian StyleOguzhan Ceylan; Gulsen Taskin. 2019. "Optimization of Graph Affinity Matrix with Heuristic Methods in Dimensionality Reduction of Hypespectral Images." 2019 27th Signal Processing and Communications Applications Conference (SIU) , no. : 1-4.
The determination of soil parameters is an important topic regarding the safe and efficient design of electrical grounding systems as well as the accurate calculation of the per-unit-length parameters of overhead transmission lines and underground cable systems. Scope of this paper is to investigate the seasonal variation of the two-layer earth structure parameters and propose simple generic models for this type of the analysis. For the determination of the two-layer earth parameters the application of different optimization methods is evaluated. Furthermore, soil resistivity measurements are conducted at three different sites during a period of a whole year. The obtained results of the two-layer earth structure are analyzed, in order to investigate the seasonal variation and their correlation to changes of rainfall. From the analysis of the results significant conclusions are drawn regarding the accuracy of the resulting soil parameters as well as their annual variation.
Theofilos A. Papadopoulos; Oguzhan Ceylan; Grigoris K. Papagiannis. Two-layer earth structure parameter estimation and seasonal analysis. 2018 53rd International Universities Power Engineering Conference (UPEC) 2018, 1 -6.
AMA StyleTheofilos A. Papadopoulos, Oguzhan Ceylan, Grigoris K. Papagiannis. Two-layer earth structure parameter estimation and seasonal analysis. 2018 53rd International Universities Power Engineering Conference (UPEC). 2018; ():1-6.
Chicago/Turabian StyleTheofilos A. Papadopoulos; Oguzhan Ceylan; Grigoris K. Papagiannis. 2018. "Two-layer earth structure parameter estimation and seasonal analysis." 2018 53rd International Universities Power Engineering Conference (UPEC) , no. : 1-6.
This paper proposes a semi-centralized intelligent control approach for voltage regulation in distribution grids based on sensitivity calculations. The model checks the voltage magnitudes of each end of each lateral in the system one by one, then if any of these violates the allowed voltage magnitudes, each node in a single lateral sends its reactive power capability and sensitivity information to the sensor located at the beginning node of that lateral. This information is sorted at the sensor and required voltage is computed and assigned to the bids one by one. This paper tests this approach on a modified 33 Node Distribution Test system with several renewable energy sources: photovoltaics (PVs) and wind turbines (WTs), and presents the numerical results based on a 15 minute resolution load data, PV outputs and WT outputs.
Oguzhan Ceylan; Ioana Pisica; Sumit Paudyal. Semi-Centralized Control of Distributed Generation in Smart Grids. 2018 53rd International Universities Power Engineering Conference (UPEC) 2018, 1 -5.
AMA StyleOguzhan Ceylan, Ioana Pisica, Sumit Paudyal. Semi-Centralized Control of Distributed Generation in Smart Grids. 2018 53rd International Universities Power Engineering Conference (UPEC). 2018; ():1-5.
Chicago/Turabian StyleOguzhan Ceylan; Ioana Pisica; Sumit Paudyal. 2018. "Semi-Centralized Control of Distributed Generation in Smart Grids." 2018 53rd International Universities Power Engineering Conference (UPEC) , no. : 1-5.
This paper proposes a novel approach for voltage control in 3-phase unbalanced distribution systems. The approach is based on the change of the magnetizing reactances of the voltage regulators in the system. We used an augmented Lagrangian-based optimization model to determine the optimal settings on a modified IEEE 123 Bus Test System with large PV penetration. Simulations were performed on a minute-based resolution either by controlling regulators or by controlling the magnetizing reactances of the regulators only. The simulation results presented and their comparison show that the control of the magnetizing reactances of the regulators may improve the voltage profile, and may be an addition or alternative to both traditional voltage control devices, such as capacitors, tap changers, and newer devices such as smart inverters.
Oguzhan Ceylan; Aleksandar Dimitrovski; Michael Starke; Kevin Tomsovic. A Novel Approach for Voltage Control in Electrical Power Distribution Systems. 2018 IEEE Power & Energy Society General Meeting (PESGM) 2018, 1 -5.
AMA StyleOguzhan Ceylan, Aleksandar Dimitrovski, Michael Starke, Kevin Tomsovic. A Novel Approach for Voltage Control in Electrical Power Distribution Systems. 2018 IEEE Power & Energy Society General Meeting (PESGM). 2018; ():1-5.
Chicago/Turabian StyleOguzhan Ceylan; Aleksandar Dimitrovski; Michael Starke; Kevin Tomsovic. 2018. "A Novel Approach for Voltage Control in Electrical Power Distribution Systems." 2018 IEEE Power & Energy Society General Meeting (PESGM) , no. : 1-5.
We develop hierarchical coordination frameworks to optimally manage active and reactive power dispatch of number of spatially distributed electric vehicles (EVs) incorporating distribution grid level constraints. The frameworks consist of two detailed mathematical models and coordination algorithms, which can benefit the operation of both entities involved, i.e., the grid operations and EV charging. The first model comprises of a comprehensive optimal power flow model at the distribution grid level, while the second model represents detailed optimal EV charging with reactive power support to the grid. We demonstrate benefits of coordinated dispatch of active and reactive power from EVs using a 33-node distribution feeder with large number of EVs (more than 5,000). Case studies demonstrate that in constrained distribution grids, coordinated charging significantly reduces the average cost of EV charging if the charging takes place at non-unity power factor mode compared to unity power factor. Similarly, the results also demonstrate that distribution grids can accommodate charging of increased number of EVs if EV charging takes place at non-unity power factor mode compared to unity power factor.
Jingyuan Wang; Guna Ratna Bharati; Sumit Paudyal; Oguzhan Ceylan; Bishnu Prasad Bhattarai; Kurt S. Myers. Coordinated Electric Vehicle Charging With Reactive Power Support to Distribution Grids. IEEE Transactions on Industrial Informatics 2018, 15, 54 -63.
AMA StyleJingyuan Wang, Guna Ratna Bharati, Sumit Paudyal, Oguzhan Ceylan, Bishnu Prasad Bhattarai, Kurt S. Myers. Coordinated Electric Vehicle Charging With Reactive Power Support to Distribution Grids. IEEE Transactions on Industrial Informatics. 2018; 15 (1):54-63.
Chicago/Turabian StyleJingyuan Wang; Guna Ratna Bharati; Sumit Paudyal; Oguzhan Ceylan; Bishnu Prasad Bhattarai; Kurt S. Myers. 2018. "Coordinated Electric Vehicle Charging With Reactive Power Support to Distribution Grids." IEEE Transactions on Industrial Informatics 15, no. 1: 54-63.
Power-electronic interfacing based devices such as photovoltaic (PV) panels and electric vehicles (EVs) cause voltage/current harmonic distortions on the power grid. The harmonic current profiles from EVs and PVs depend on the design of the controllers integrated to the PV inverters and EV chargers. Similarly, the voltage and current harmonic distortions on a grid change throughout the day as the PV output power, number of grid connected EVs, and the other load pattern change. In this context, we present harmonic assessment to demonstrate cumulative effect of large number of EVs and PVs on a medium voltage distribution grid. We will demonstrate the case studies on the IEEE 123-node distribution feeder with 20%, 50%, and 100% PV and EV penetrations, based on time series simulations carried out for an entire day.
Oguzhan Ceylan; Sumit Paudyal; Sudarshan Dahal; Nava R. Karki. Assessment of harmonic distortion on distribution feeders with electric vehicles and residential PVs. 2017 7th International Conference on Power Systems (ICPS) 2017, 621 -626.
AMA StyleOguzhan Ceylan, Sumit Paudyal, Sudarshan Dahal, Nava R. Karki. Assessment of harmonic distortion on distribution feeders with electric vehicles and residential PVs. 2017 7th International Conference on Power Systems (ICPS). 2017; ():621-626.
Chicago/Turabian StyleOguzhan Ceylan; Sumit Paudyal; Sudarshan Dahal; Nava R. Karki. 2017. "Assessment of harmonic distortion on distribution feeders with electric vehicles and residential PVs." 2017 7th International Conference on Power Systems (ICPS) , no. : 621-626.
In this paper, the performance of different optimization techniques is evaluated for the estimation of dynamic load model parameters. Two categories of methods are considered: the nonlinear least-squares-based and the population-based. The accuracy of the optimization methods is assessed by applying Monte Carlo simulations using artificially created distorted data. In order to represent different real-world conditions, the performance of the methods is evaluated considering different levels of signal-to-noise ratio. The findings of this paper indicate that similar results are obtained by the different techniques examined and verify the validity of the optimization methods for parameter estimation of dynamic load models.
Georgios A. Barzegkar-Ntovom; Oguzhan Ceylan; Theofilos Papadopoulos. Optimization techniques for parameter estimation of dynamic load models. 2017 52nd International Universities Power Engineering Conference (UPEC) 2017, 1 -6.
AMA StyleGeorgios A. Barzegkar-Ntovom, Oguzhan Ceylan, Theofilos Papadopoulos. Optimization techniques for parameter estimation of dynamic load models. 2017 52nd International Universities Power Engineering Conference (UPEC). 2017; ():1-6.
Chicago/Turabian StyleGeorgios A. Barzegkar-Ntovom; Oguzhan Ceylan; Theofilos Papadopoulos. 2017. "Optimization techniques for parameter estimation of dynamic load models." 2017 52nd International Universities Power Engineering Conference (UPEC) , no. : 1-6.
This paper develops coordinated voltage control with high penetration of wind in power distribution systems. In the proposed method, daily schedule of optimal voltage profiles are determined by using optimization technique based on predicted values of load demand and by controlling tap positions of regulators, switched capacitors, and reactive power outputs of the inverters. In this paper, three optimal voltage control models are developed: the first model uses capacitors as control devices; the second model uses capacitors and tap changers of voltage regulators; and the third model includes the inverters of the wind turbines as well. We use a recently developed heuristic, Sine-cosine algorithm, to solve the optimal voltage control problems. The case studies carried out on a modified 33-node feeder shows the effectiveness of the proposed optimization models in controlling the voltages in distribution feeders.
Seyhan Tural; Oguzhan Ceylan; Sumit Paudyal. Optimal voltage control in distribution feeders with large penetration of wind. 2017 52nd International Universities Power Engineering Conference (UPEC) 2017, 1 -6.
AMA StyleSeyhan Tural, Oguzhan Ceylan, Sumit Paudyal. Optimal voltage control in distribution feeders with large penetration of wind. 2017 52nd International Universities Power Engineering Conference (UPEC). 2017; ():1-6.
Chicago/Turabian StyleSeyhan Tural; Oguzhan Ceylan; Sumit Paudyal. 2017. "Optimal voltage control in distribution feeders with large penetration of wind." 2017 52nd International Universities Power Engineering Conference (UPEC) , no. : 1-6.
This paper develops a model to show the effects of soft errors on power flow calculations. We create artificial bit-flips and apply them to solve linear equations obtained in Fast Decoupled Load Flow (FDLF) method. With this, we aim to represent the sensitivity of FDLF iteration against soft errors with a statistical view by using different numerical fault injection scenarios. The study focuses on the soft-error sensitivity of the FDLF method with exact (LU) linear solvers. We performed approximately 60000 experiments on IEEE 14, 30, 57, 118 test systems to examine the soft-error resiliency of FDLF method. Statistical study shows that even for small systems, soft-errors may have large impacts on the convergence of the FDLF. Hence, an improvement should be provided against soft errors in power flow studies to obtain more efficient and reliable simulations in near future exascale computational environments.
E. Fatih Yetkin; Oguzhan Ceylan. Soft-error resiliency of power flow calculations. 2017 52nd International Universities Power Engineering Conference (UPEC) 2017, 1 -5.
AMA StyleE. Fatih Yetkin, Oguzhan Ceylan. Soft-error resiliency of power flow calculations. 2017 52nd International Universities Power Engineering Conference (UPEC). 2017; ():1-5.
Chicago/Turabian StyleE. Fatih Yetkin; Oguzhan Ceylan. 2017. "Soft-error resiliency of power flow calculations." 2017 52nd International Universities Power Engineering Conference (UPEC) , no. : 1-5.
Power-electronic interfacing based devices such as wind generators (WGs) and electrical vehicles (EVs) cause harmonic distortions on the power grid. Higher penetration and uncoordinated operation of WGs and EVs can lead to voltage and current harmonic distortions, which may exceed IEEE limits. It is interesting to note that WGs and EVs have some common harmonic profiles. Therefore, when EVs are connected to the grid, the harmonic pollution EVs impart onto the grid can be reduced to some extent by the amount of wind power injecting into the grid and vice versa. In this context, this work studies the impact of EVs on harmonic distortions and careful utilization of wind power to minimize the distortions in distribution feeders. For this, a harmonic unbalanced distribution feeder model is developed in OpenDSS and interfaced with Genetic Algorithm (GA) based optimization algorithm in MATLAB to solve optimal harmonic power flow (OHPF) problems. The developed OHPF model is first used to study impact of EV penetration on current/voltage total harmonic distortions (THDs) in distribution grids. Next, dispatch of WGs are found at different locations on the distribution grid to demonstrate reduction in the current/voltage THDs when EVs are charging.
Ritam Misra; Sumit Paudyal; Oğuzhan Ceylan; Paras Mandal. Harmonic Distortion Minimization in Power Grids with Wind and Electric Vehicles. Energies 2017, 10, 932 .
AMA StyleRitam Misra, Sumit Paudyal, Oğuzhan Ceylan, Paras Mandal. Harmonic Distortion Minimization in Power Grids with Wind and Electric Vehicles. Energies. 2017; 10 (7):932.
Chicago/Turabian StyleRitam Misra; Sumit Paudyal; Oğuzhan Ceylan; Paras Mandal. 2017. "Harmonic Distortion Minimization in Power Grids with Wind and Electric Vehicles." Energies 10, no. 7: 932.
A power distribution system operates most efficiently with voltage deviations along a feeder kept to a minimum and must ensure all voltages remain within specified limits. Recently with the increased integration of photovoltaics, the variable power output has led to increased voltage fluctuations and violation of operating limits. This paper proposes an optimization model based on a recently developed heuristic search method, grey wolf optimization, to coordinate the various distribution controllers. Several different case studies on IEEE 33 and 69 bus test systems modified by including tap changing transformers, capacitors and photovoltaic solar panels are performed. Simulation results are compared to two other heuristic-based optimization methods: harmony search and differential evolution. The simulation results show the effectiveness of the method and indicate the usage of reactive power outputs of PVs facilitates better voltage magnitude profile.
Oğuzhan Ceylan; Guodong Liu; Kevin Tomsovic. Coordinated distribution network control of tap changer transformers, capacitors and PV inverters. Electrical Engineering 2017, 100, 1133 -1146.
AMA StyleOğuzhan Ceylan, Guodong Liu, Kevin Tomsovic. Coordinated distribution network control of tap changer transformers, capacitors and PV inverters. Electrical Engineering. 2017; 100 (2):1133-1146.
Chicago/Turabian StyleOğuzhan Ceylan; Guodong Liu; Kevin Tomsovic. 2017. "Coordinated distribution network control of tap changer transformers, capacitors and PV inverters." Electrical Engineering 100, no. 2: 1133-1146.
This paper develops a mathematical model for optimal capacitor placement and sizing in radial distribution systems. The optimization model finds placement and sizes of capacitors considering variations on load profiles with 15-minute resolution. A recently developed heuristic algorithm, Moth-flame Optimization Algorithm, is modified and used to solve the model. Optimization model is tested on a modified 33-node distribution feeder. Two simulation cases are considered: the first one assumes a constant tap position of the regulators, the second one adjusts the tap positions optimally to some constant daily values. The simulation results show the improvement of the voltage profiles with the modified Moth-flame Optimization.
Oguzhan Ceylan; Sumit Paudyal. Optimal capacitor placement and sizing considering load profile variations using moth-flame optimization algorithm. 2017 International Conference on Modern Power Systems (MPS) 2017, 1 -6.
AMA StyleOguzhan Ceylan, Sumit Paudyal. Optimal capacitor placement and sizing considering load profile variations using moth-flame optimization algorithm. 2017 International Conference on Modern Power Systems (MPS). 2017; ():1-6.
Chicago/Turabian StyleOguzhan Ceylan; Sumit Paudyal. 2017. "Optimal capacitor placement and sizing considering load profile variations using moth-flame optimization algorithm." 2017 International Conference on Modern Power Systems (MPS) , no. : 1-6.
This paper combines an iterative approach based voltage control algorithm for allocating the reactive power outputs of distributed energy sources (DERs) with an Augmented Lagrangian voltage deviation optimization model that takes tap positions into consideration. The approach is applied to a modified IEEE 123 bus distribution test system with several PVs of varying output. Voltage variations due to the intermittent nature of the PVs in the distribution system are constrained by scheduling reactive power injections from the inverters. Allocating reactive power outputs of PVs and changing transformer tap positions allows the proposed approach to be used as an alternative to traditional distribution voltage control approaches. Simulation results show that the proposed method is able to keep voltage magnitudes in the normal voltage magnitude range with few tap operations.
Oguzhan Ceylan; Aleksandar Dimitrovski; Michael Starke; Kevin Tomsovic. Optimal reactive power allocation for photovoltaic inverters to limit transformer tap changes. 2016 IEEE Power and Energy Society General Meeting (PESGM) 2016, 1 -5.
AMA StyleOguzhan Ceylan, Aleksandar Dimitrovski, Michael Starke, Kevin Tomsovic. Optimal reactive power allocation for photovoltaic inverters to limit transformer tap changes. 2016 IEEE Power and Energy Society General Meeting (PESGM). 2016; ():1-5.
Chicago/Turabian StyleOguzhan Ceylan; Aleksandar Dimitrovski; Michael Starke; Kevin Tomsovic. 2016. "Optimal reactive power allocation for photovoltaic inverters to limit transformer tap changes." 2016 IEEE Power and Energy Society General Meeting (PESGM) , no. : 1-5.
Support vector machines is a very popular method in classification of hyperspectral images due to their good generalization capability even with a limited number of training datasets. However, the performance of SVM strongly depends on selection of kernel parameters when RBF kernel is used. In order to achieve a high classification performance, the kernel parameters, that are the value of regularization term and kernel width, should optimally be chosen. In this work, the use of recently developed evolutionary optimization methods, harmony search and differential evolution methods, are investigated in the context of hyperspectral image classification for the first time in this paper. The experimental results showed that these methods provide fast and accurate results in comparison to classical grid search approach.
Oguzhan Ceylan; Gulsen Taskin. A comparison of differential evolution and Harmony Search methods for SVM model selection in hyperspectral image classification. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2016, 485 -488.
AMA StyleOguzhan Ceylan, Gulsen Taskin. A comparison of differential evolution and Harmony Search methods for SVM model selection in hyperspectral image classification. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2016; ():485-488.
Chicago/Turabian StyleOguzhan Ceylan; Gulsen Taskin. 2016. "A comparison of differential evolution and Harmony Search methods for SVM model selection in hyperspectral image classification." 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , no. : 485-488.
This paper solves a daily multiobjective optimization model for efficient operation of power distribution systems. The model aims to minimize the voltage deviations, minimize power losses and minimize the energy costs of the distributed generators. The model is implemented on a modified 33 bus distribution system by including: two voltage regulators and four distributed generators. Three different simulation sets are performed: the first one includes only voltage regulators and the second one includes only distributed generators and the third one includes both voltage regulators and distributed generators. When the simulation results are compared, results show that better voltage profiles with less power losses and costs might be obtained by using both voltage regulators and distributed generators.
Funda Daylak; Oguzhan Ceylan; Canan Zobi Karatekin. A daily multiobjective optimization model in smart grids. 2016 51st International Universities Power Engineering Conference (UPEC) 2016, 1 -6.
AMA StyleFunda Daylak, Oguzhan Ceylan, Canan Zobi Karatekin. A daily multiobjective optimization model in smart grids. 2016 51st International Universities Power Engineering Conference (UPEC). 2016; ():1-6.
Chicago/Turabian StyleFunda Daylak; Oguzhan Ceylan; Canan Zobi Karatekin. 2016. "A daily multiobjective optimization model in smart grids." 2016 51st International Universities Power Engineering Conference (UPEC) , no. : 1-6.