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Öğe An approach for the integration of renewable distributed generation in hybrid DC/AC microgrids(Pergamon-Elsevier Science Ltd, 2013) Karabiber, Abdulkerim; Keles, Cemal; Kaygusuz, Asim; Alagoz, B. BaykantThis paper presents an investigation of a hybrid DC/AC integration paradigm to establish microgrids (MGs) by using a conventional three-phase local power delivery system. This approach adds an additional DC power line to the local power distribution system in order to collect energy generated by distributed domestic renewable sources. The local renewable distributed generation (DG) works in conjunction with the conventional grid utility to reduce the power draw from the grid. Researchers designed an energy conversion station to mix energy from the local DGs with energy from the grid utility. This approach, therefore, uses a continuous energy mixing strategy for DC integration of local generation and grid energy to supply energy to MG consumers via the conventional three-phase power distribution system. Thus, local distributed renewable generators do not have to contend with AC integration problems, such as AC stability and line synchronization. This approach can facilitate the transformation of conventional local power distribution systems into reliable MGs in an affordable way for stakeholders and it is a step towards construction of future smart grids. (C) 2012 Elsevier Ltd. All rights reserved.Öğe A closed-loop energy price controlling method for real-time energy balancing in a smart grid energy market(Pergamon-Elsevier Science Ltd, 2013) Alagoz, B. Baykant; Kaygusuz, Asim; Akcin, Murat; Alagoz, SerkanFuture smart grids will require a flexible, observable, and controllable network for reliable and efficient energy delivery under uncertain generation and demand conditions. One of the mechanisms for efficient and reliable energy generation is dynamic demand-responsive generation management based on energy price adjustments that creates a balance in energy markets. This study presents a closed-loop PID (proportional-integral-derivative) controller-based price control method for autonomous and real-time balancing of energy demand and generation in smart grid electricity markets. The PID control system can regulate energy prices online to respond dynamically and instantaneously to the varying energy demands of grid consumers. Independent energy suppliers in the smart grid decide whether to sell their energy to the grid according to the energy prices declared by the closed-loop PID controller system. Energy market simulations demonstrate that PID-controlled energy price regulation can effectively maintain an energy balance for hourly demand fluctuations of consumers. (C) 2013 Elsevier Ltd. All rights reserved.Öğe Dynamic energy pricing by closed-loop fractional-order PI control system and energy balancing in smart grid energy markets(Sage Publications Ltd, 2016) Alagoz, B. Baykant; Kaygusuz, AsimThis study investigates dynamic energy price regulation by a closed-loop fractional-order PI control system and presents a possible application for the automated energy balancing in smart grid energy markets. A persistent balance of energy demand and generation is a substantial problem for future smart grids due to the uncertainty and high fluctuation in the generation of distributed renewable energy sources and elastic demand conditions. Dynamic energy pricing is an effective strategy to balance flexible energy markets and it can provide the best energy price that balances energy demand and generation. We numerically demonstrate that closed-loop generation control by using dynamic pricing can provide persistent settling to the best price point of demand and supply curves, when the energy balance error is defined as the difference between instant demand and generation potentials. We analyse energy market management performance of a fractional-order PI controller in the case of communication and operation delays in a multi-source energy market model. Market simulation results are discussed to demonstrate the possible advantages of the fractional-order PI controller for smart grid energy market managements.Öğe Image processing based object tracking application with fractional-order model reference controller(Pamukkale Univ, 2016) Kavuran, Gurkan; Ates, Abdullah; Alagoz, B. Baykant; Yeroglu, CelaleddinIn this paper, position control application of DC servo motor is investigated by using conventional model reference adaptive control structure with fractional order integrator. Modification of the controller is achieved by fractional order integrator in adaptation rule. Object position for reference input of control system is updated in real time by the values obtained from camera of object tracking system. Results obtained for integer order integrator and fractionalorder integrator for model reference adaptive control system are compared and it is observed that the fractional-order integrator can provide faster adaptation for the system.Öğe A numerical investigation for robust stability of fractional-order uncertain systems(Elsevier Science Inc, 2014) Senol, Bilal; Ates, Abdullah; Alagoz, B. Baykant; Yeroglu, CelaleddinThis study presents numerical methods for robust stability analysis of closed loop control systems with parameter uncertainty. Methods are based on scan sampling of interval characteristic polynomials from the hypercube of parameter space. Exposed-edge polynomial sampling is used to reduce the computational complexity of robust stability analysis. Computer experiments are used for demonstration of the proposed robust stability test procedures. (C) 2013 ISA. Published by Elsevier Ltd. All rights reserved.Öğe Stability Analysis of Fractional Order Multiple Linear Uncertain Systems: Exposed Edge Sampling Approach(Romanian Soc Control Tech Informatics, 2018) Senol, Bilal; Ates, Abdullah; Alagoz, B. Baykant; Yeroglu, CelaleddinMultiple linear uncertainty models mainly appear at linear time invariant system modelling of cascaded process and this uncertainty structure complicates parametric robust stability analyses of real control systems. To address this problem, this study presents a robust stability analysis scheme for fractional order control system models including multiple linear uncertainty structures. A numerical method, which is based Edge Theorem, has been utilized for the robust stability analysis of fractional order multiple linear uncertain control systems. For this purpose, exposed edge scan sampling approach is used to obtain a image of root region boundaries of fractional order multiple linear uncertain control systems in complex s-domain, and an extension of exposed edge scan sampling is proposed for root locus analyses of fractional order closed loop control systems involving multiple linear uncertainty structures. In the paper, types of linear uncertainties are discussed briefly and multiple versions of these uncertainties are studied for fractional order closed loop control in detail. An application of proposed method for closed loop control systems is numerically demonstrated via illustrative examples. It is observed in this study that exposed edge sampling approach can be an effective method for robust stability analysis of complicated uncertainty structures and it presents potential of decreasing computational complexity in robust stabilization problems of uncertain fractional order control systems.