Browsing by Author "Ceylan,O."

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Citation Count: 0
Optimal Allocation of Distributed Generators and Mobile Battery Energy Storage Systems in Distribution System
(Institute of Electrical and Electronics Engineers Inc., 2023) Ceylan, Oğuzhan; Ceylan,O.; Ozdemir,A.
This research proposes an expansion planning frame-work that determines the optimal number, location, size, and type of distributed generators (DGs) and the number, capacity, location, and operation of mobile battery energy storage systems (MBESSs) in the distribution networks to improve the voltage profiles. The framework is applied to IEEE 33-bus and 69-bus standard test systems. The framework uses the advanced grey-wolf optimization (AGWO) developed to deal with mixed-integer nonlinear programming problems and the forward-backward sweep power flow method to determine the optimal control parameters defined for the problem. This study shows that the proposed framework enables the allocation and operation of DG and MBESS units to eliminate all voltage violations. Moreover, a clear roadmap is proposed for the size and location of DG units in the system and guidelines for the monthly location of MBESS. © 2023 IEEE.
Citation Count: 2
OPTIMAL CAPACITOR SIZING AND PLACEMENT USING DRAGONFLY ALGORITHM: A CASE STUDY IN KAZAKHSTAN
(Institution of Engineering and Technology, 2020) Ceylan, Oğuzhan; Şenyüz,H.; Sauchimov,A.; Ceylan,O.
This paper solves capacitor placement problem using a recently developed heuristic algorithm called as Dragonfly optimization algorithm. We aim to determine the sizes and the locations of capacitors by minimizing the voltage deviations and active power losses. For this aim, we utilized Dragonfly Optimization Model and applied on a modified real distribution system from Almaty, Kazakhstan. To be able to simulate different load conditions, we randomly created varied load conditions taking base case as reference point. Then, the capacities and node locations of capacitors providing smallest voltage deviations and active power losses are selected as solutions. From the simulation results we have observed that Dragonfly Algorithm successfully determines near-optimal locations and sizes of the capacitors. © 2020 The Institution of Engineering and Technology.
Optimal Dead Band Control of Occupant Thermostats for Grid-Interactive Homes
(Institute of Electrical and Electronics Engineers Inc., 2024) Ceylan, Oğuzhan; Ceylan,O.; Paudyal,S.
Efficient and grid-aware management of home-scale heating, ventilation, and air conditioning (HVAC) systems is one of the key enablers of demand-side management (DSM) and associated grid services in the residential sector. HVACs regulate the indoor temperature around a set point through a thermostat operating within a closed-loop control scheme. Conventional thermostats typically have a built-in temperature dead band or differential where the thermostat is idle, and HVAC stays at the most recent state (On/Off). The temperature dead band is an important control parameter that can help save energy as well as preventing frequent On/Off switching cycles leading to excessive wear and tear on the equipment. However, strategic and dynamic adjustment of the dead band can be a challenging task for an occupant. This paper proposes a mixed-integer linear program (MILP)-based tuning scheme to optimally determine the dead band. The novelty in this formulation is the inclusion of thermostat hysteresis curve modeled by piecewise techniques for tuning the dead band accurately. The proposed formulation is solved as a receding horizon manner for normal as well as under a demand response (DR) event and has been found it can achieve up to 10% reduction in energy consumption without degrading the regulation performance significantly. © 2024 IEEE.
A Topology Detector Based Power Flow Approach for Radial and Weakly Meshed Distribution Networks
(Institute of Electrical and Electronics Engineers Inc., 2024) Yetkin, Emrullah Fatih; Ceylan, Oğuzhan; Pisica,I.; Ozdemir,A.
Power distribution networks may need to be switched from one radial configuration to another radial structure, providing better technical and economic benefits. Or, they may also need to switch from a radial configuration to a meshed one and vice-versa due to operational purposes. Thus the detection of the structure of the grid is important as this detection will improve the operational efficiency, provide technical benefits, and optimize economic performance. Accurate detection of the grid structure is needed for effective load flow analysis, which becomes increasingly computationally expensive as the network size increases. To perform a proper load flow analysis, one has to build the distribution load flow (DLF) matrix from scratch cost of which is unavoidable with the growing size of the network. This will considerably increase the computation time when the system size increases, compromising applicability in online implementations. In this study we introduce a novel graph-based model designed to rapidly detect transitions between radial and weakly meshed systems. By leveraging the characteristic properties of Sparse Matrix-Vector product (SpMV) operations, we accelerate power flow calculations without necessitating the complete reconstruction of the DLF matrix. With this approach we aim to reduce the computational costs and to improve the feasibility of near-online implementations. © 2024 IEEE.
Citation Count: 0
Validation Of Wind Turbine Model Software Simulation Using Real Time Windspeed Measurements
(Institute of Electrical and Electronics Engineers Inc., 2023) Ceylan, Oğuzhan; Shiacallis,S.; Christofides,N.; Papadakis,A.; Papadopoulos,T.; Ceylan,O.
Based on the achievements regarding the 2020 targets, the Renewable Energy Directive established a new, higher target for 2030, reflecting a significant increase of interest for renewable energy sources (RES). As a result, various new software simulation packages, featuring models of RES, have been developed and being used in academia as well as in industry for research, educational or training purposes. In this paper Wind turbine (WT) characteristics and wind speed data obtained from a commissioned wind farm in Cyprus are used to implement a simulation model in two different software programs featuring RES simulation capabilities. Power System Computer Aided Design (PSCAD) is used to investigate the electrical power output of a WT model, and KYAMOS software is used to investigate the modelling of the blades, the resulting primary torque and the resulting rotor rotational speed. The investigation result novelty is the establishment of the ability of the proposed, under development, software program to satisfy the three required characteristics. Therefore, Deviation from measured values of the turbine characteristics is observed for both programs, user interface and blade modelling, and the potential of integrating results of one software into the other is investigated. © 2023 IEEE.
Citation Count: 0
Voltage Profile Improvement in Unbalanced Distribution Networks for Probabilistic Generation and Consumption
(Institute of Electrical and Electronics Engineers Inc., 2024) Ceylan, Oğuzhan; Ceylan,O.; Pisica,I.; Özdemir,A.
Due to their technical, economical, and environmental advantages, active distribution networks implement renewable energy resources (RERs) such as photovoltaic (PV) units in distribution networks DNs. However, some drawbacks may arise due to the intermittent nature of RERs, such as voltage fluctuations and increased system losses. This paper presents an optimization problem that is solved by sequential linear programming (SLP) to improve the voltage profile of the unbalanced distribution network. A probabilistic approach was applied to both the load profile and the active power generation of the PV units. SLP is applied to the modified IEEE 34 Bus Test system. The method optimizes the voltage deviations by changing the taps of the voltage regulators and the reactive power injected by the inverters of the PV systems and, in some cases, by switching a shunt capacitor. MATLAB simulations are done at different times of the day with different loads and PV outputs to compare base case and optimal case voltage profiles. The results show better voltage profiles after applying the presented approach. © 2024 IEEE.