A5061536506- Microgrid Control and Optimization
- Frequency Control in Power Systems
- Power System Optimization and Stability
- Electric Motor Design and Analysis
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Advanced Control Systems Design
- Sensorless Control of Electric Motors
- Smart Grid Energy Management
- Energy Load and Power Forecasting
- Multilevel Inverters and Converters
- Advanced Multi-Objective Optimization Algorithms
- Optimal Power Flow Distribution
- Antenna Design and Analysis
- Photovoltaic System Optimization Techniques
- Antenna Design and Optimization
- Education Practices and Challenges
- Advanced DC-DC Converters
- Magnetic Bearings and Levitation Dynamics
- Neural Networks and Applications
- Magnetic Properties and Applications
- Educational Leadership and Administration
- Physics of Superconductivity and Magnetism
- Electric Power System Optimization
- Fuzzy Logic and Control Systems
Düzce Üniversitesi
2018-2025
Gazi University
2011-2021
Izmir Institute of Technology
2021
Inonu University
2021
Yıldız Technical University
2021
Sağlık Bilimleri Üniversitesi
2017
Texas A&M University – Commerce
2017
Karabük University
2015
Necmettin Erbakan University
2014
Selçuk University
2014
Abstract Expert, intelligent and robust automatic generation control (AGC) scheme is requisite for stable operation of power system (PS) integrated with renewable energy sources (RES) under sudden/random small load disturbances. Large frequency deviations appear if AGC capacity inept to compensate the imbalances demand. In this paper, a cascade‐fractional order ID filter (C‐I λ D μ N) controller proposed as an expert supplementary promote recital adequately in electric systems incorporated...
Due to varying structure, random load demands, nonlinearities, parameters ambiguity, steadily escalating size and intricacy of the interconnected power system (IPS), automatic generation control (AGC) is treated as one biggest crucial issues in IPS. Hence, expert, intelligent robust scheme indispensable for stable operation IPS supply electricity under sudden demand disturbances. In vision this, this work, a novel cascade fuzzy-proportional integral derivative incorporating filter...
This article attempts to solve the problem of efficient design proportional + integral derivative (PID) controller applied popular automatic voltage regulator (AVR) system by employing recently introduced symbiotic organisms search (SOS) algorithm, for first time. PID needs proper determination three control parameters. Such a can be taken as an optimization task and SOS is invoked find out better parameters through new cost function defined in paper, which allows evaluate behavior both...
Abstract The integration of additional renewable energy sources, such as solar PV, into the current power grid is a global priority due to depletion traditional supplies and rising demand. In order achieve load frequency control (LFC) system with this study employs construction proportional integral derivative (PID) scheme that has been fine-tuned via flower pollination algorithm (FPA). When evaluating performance FPA-PID on an interconnected thermal system, three distinct error...
Ensuring the stability and reliability of modern power systems is increasingly challenging due to growing integration renewable energy sources dynamic nature load demands. Traditional proportional-integral-derivative (PID) controllers, while widely used, often fall short in effectively managing these complexities. This paper introduces a novel approach frequency control (LFC) by proposing filtered PID (PID-F) controller optimized through hybrid simulated annealing based quadratic...
The study suggests a better multi-objective optimization method called 2-Archive Multi-Objective Cuckoo Search (MOCS2arc). It is then used to improve eight classical truss structures and six ZDT test functions. aims minimize both mass compliance simultaneously. MOCS2arc an advanced version of the traditional (MOCS) algorithm, enhanced through dual archive strategy that significantly improves solution diversity performance. To evaluate effectiveness MOCS2arc, we conducted extensive...
Abstract This paper introduces a cascade one proportional derivative incorporating filter (1PD f )-proportional integral (PI) controller abbreviated as c-1PD -PI to deal effectively with the speed control issue of brushless DC (BLDC) motors. Two problems exist implementing this such iterated overflow and derivation-based chattering owing noise. The former is resolved by using an equivalent expression for operation, while latter addressed putting first-order on term. To achieve best...
Abstract This paper introduces a nonlinear PI controller for improved speed regulation in permanent magnet direct current (PMDC) motor drive systems. The nonlinearity comes from the exponential (Exp) block placed front of classical controller, which uses tunable function to map error nonlinearly. Such configuration has not been studied till now, thus meriting further investigation. We consider an (EXP-PI) and attain best performance this its parameters are optimized offline using salp swarm...
AbstractAbstractLoad frequency control (LFC) plays a crucial rule in matching the power generation with variable demand, and hence, maintains system tie-line to its esteemed value. Further, most of countries are dependent on thermal plants meet electrical energy requirement, LFC strategies available for these types only. As world is moving generate via cleaner sources reduce harmful environmental pollutants, hydro one well-developed cleanest energy. Subsequently, this article shows up novel...