Probabilistic operational management of a renewable-based microgrid considering uncertainties using the self-adaptive gravitational search algorithm Emad M. Ahmed, Zaki A. Zaki, Mehrdad Ahmadi Kamarposhti, El Manaa Barhoumi, Ilhami Colak Scientific Reports, 2026 Increasing uncertainties in electricity prices, load demand, and renewable energy generation pose significant challenges for optimal microgrid operation in deregulated electricity markets. This paper proposes a self-adaptive Gravitational Search Algorithm (SGSA), which enhances the standard GSA by incorporating a self-adaptive mutation operator with two movement strategies to mitigate premature convergence and improve solution quality. To model uncertainties in load demand, market prices, and renewable outputs, the 2 m-Point Estimation Method (PEM) is employed as a computationally efficient alternative to conventional stochastic approaches. The proposed SGSA-PEM framework is applied to a low-voltage microgrid consisting of microturbines, phosphoric acid fuel cells, photovoltaic units, wind turbines, and battery storage. Simulation results indicate that the integration of battery storage reduces the total generation cost by up to 49.7%, while renewable energy penetration increases by approximately 10% during peak demand periods. Furthermore, comparative analysis shows that SGSA achieves lower operating costs and converges about 25% faster than standard GSA and Particle Swarm Optimization (PSO). The results confirm that the proposed framework provides a computationally efficient and robust solution for probabilistic microgrid energy management under uncertainty.
A generalized fractional model for one-step identification of membrane filtration clogging mechanisms Leila Cherifi, Yamina Ammi, Salah Hanini, Nadjem Bailek, El-Sayed M. El-Kenawy, Jihad A. Younis, Bilel Zerouali, Abdennasser Dahmani, Ilhami Colak, Abdulrazak H. Almaliki Scientific Reports, 2026 This study addresses the persistent issue of membrane fouling in filtration systems, a phenomenon that disrupts flow dynamics and reduces efficiency across various membrane types. To overcome the limitations of traditional models, a novel generalized framework, characterized by its fractional order (α), clogging indicator (n), and clogging rate constant (k), is proposed as a flexible and unified alternative to traditional models. This fractional formulation inherently allows the model to generalize effectively across various fouling behaviors: cake filtration, intermediate clogging, and standard blocking. Comparative analysis with classical models showed that the new framework consistently achieved higher accuracy, with normalized RMSE values ranging from 0.93% to 1.73% and R 2 values exceeding 0.995. Due to its fractional formulation, the model demonstrates strong generalization across various fouling behaviors, without requiring separate calibration for each scenario. It also enables one-step identification and characterization of the prevailing fouling mechanism while maintaining computational simplicity. Overall, this study introduces a scalable, accurate, and robust modeling framework that enhances membrane performance in fluid and mechanical engineering applications.
Techno-economic optimization of PHEV parking lot siting and sizing in smart microgrids using cuckoo search algorithm Emad M. Ahmed, Zaki A. Zaki, Mehrdad Ahmadi Kamarposhti, Ilhami Colak, El Manaa Barhoumi Energy Reports, 2026 In recent years, electric vehicles have become more prevalent in the transportation fleets of the world's developed nations. When incorporated into microgrids, they can maximize productivity, and provide additional flexibility when optimally sited. However, poor placement and sizing of the EV parking lots will often, as was proven in this paper, increase microgrid losses, decrease power quality, and increase the overall cost of operations. This paper sets out to optimize the placement and capacity of plug-in hybrid electric vehicle (PHEV) parking at an IEEE 33-bus microgrid using cuckoo search (CSA) and genetic algorithms (GA) in two separate scenarios; with no option of selling energy to the mother grid and in a scenario where it is allowed to export energy. The results showed that optimal placements of EV parking optimize microgrid costs and reduces losses. It was consistently seen that the CSA showed better performance than the GA for both scenarios, in obtaining the optimal cost more efficiently than the GA. One of the main contributions of this study is the application of CSA for the techno-economics adaptation of PHEV parking lots, considering operational/technical and economic constraints and showing better performance than conventional optimization methods. • The study proposes the use of Cuckoo Search Algorithm (CSA) for optimal siting and sizing of PHEV (plug-in hybrid electric vehicle) parking lots in smart microgrids. • CSA outperforms other metaheuristic algorithms (GA, PSO, DE, SA) in reducing total cost, energy losses, and CPU execution time. • Optimized PHEV parking lots improve voltage stability, balance active and reactive power, and enhance microgrid operational efficiency. • Scenario 2 demonstrates a 16 % reduction in total cost and a 24 % reduction in energy losses, highlighting both economic and technical benefits. • Scalability and robustness of CSA validated on microgrids up to 300 buses, showing stable convergence and computational efficiency.
Price-based unit commitment in power systems with renewable energy resources considering security and reserve constraints in competitive electricity markets using a differential evolution algorithm Emad M. Ahmed, Mehrdad Ahmadi Kamarposhti, Hammad Alnuman, El Manaa Barhoumi, Ilhami Colak Energy Reports, 2026 In modern competitive electricity markets, Independent System Operators (ISOs) have difficulty managing the scheduling of generation units in accordance with system security and minimizing the overall system’s operational costs with increasing penetration of renewable energy. This paper develops a differential evolution (DE) based optimization framework for day-ahead price-based unit commitment, which simultaneously schedules energy generation and 24-hour spinning reserves whilst respecting security, technology and reserve constraints. The proposed modeling framework explicitly addresses the uncertainty in wind power generation, generator ramp rates and spinning reserves requirements. Case studies apply the proposed methodology on a modified IEEE 30-bus system, and demonstrates that specifying a wind farm in the study system decreases the total cost of the overall system by 17% and the spinning reserve requirements by 34%. The DE based unit commitment scheduling framework saves an overall system operational cost of 3.4–8.5% compared to the traditional optimal power flow (OPF) method while maintaining feasibility to all the operational constraints. Additionally, by comparing the results for the DE unit commitment scheduling framework to metaheuristic algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), the results exhibit a faster convergence and a higher quality solution with lower computational times. The case studies present a reliable and inexpensive method to allow for the effective implementation of renewable energy resources in the operation of electricity systems in the competitive electricity market while maintaining reliability in the system and providing adequate reserve capacity.
Design and Experimental Validation of a Voltage-Feedback PR-Controlled Asymmetric Cascaded Multilevel Inverter Gökhan Keven, İlhami Çolak, Ersan Kabalcı Electronics Switzerland, 2026 Asymmetric Cascaded Multilevel Inverters (ACMLIs) have emerged as a prominent solution for medium- and high-power applications due to their ability to provide an increased number of output voltage levels with fewer power switches. However, maintaining low total harmonic distortion (THD) and ensuring robust stability under varying operating conditions remain significant challenges. This study experimentally validates a voltage-feedback Proportional-Resonant (PR) control strategy for a seven-level ACMLI. Unlike conventional current-feedback methods, the proposed approach directly regulates the output voltage, providing superior harmonic suppression and enhanced steady-state accuracy. The stability and dynamic performance of the controller were theoretically analyzed using Bode diagrams and root locus methods, and further verified through the MATLAB Curve Fitting Tool (CFT) with a high correlation (R2 = 0.9989). Experimental results demonstrate that the integration of the PR controller significantly improves power quality, reducing the current THD from 6.55% to 3.68% and the voltage THD to 2.94%. These findings confirm that the system fully complies with IEEE 519 standards and outperforms several existing strategies in the literature. The results establish the voltage-feedback PR control as a robust, high-precision, and practical alternative for power quality-oriented multilevel inverter applications in modern energy systems.
Using a combination of four different strategies to increase the quality of current and power produced by multi-rotor wind turbine systems Habib Benbouhenni, Hamza Gasmi, Alin-Gheorghita Mazare, Laurentiu-Mihai Ionescu, Ilhami Colak, Nicu Bizon, Zakaria Mohamed Salem Elbarbary, Saad Fahad Al-Gahtani Measurement and Control United Kingdom, 2026 Using conventional controls often leads to undesirable results in the power and current quality of wind-based energy systems. To overcome the problem of low power/current quality, a combination of control strategies is an effective and convenient solution. In this study, it was proposed to combine the proportional-derivative regulator, proportional-integral regulator, super-twisting control, and fractional calculus to obtain a new controller characterized by high durability and distinctive performance. This proposed controller replaces traditional controllers for indirect fielded-oriented control of a doubly-fed induction generator. In this proposed approach, the pulse width modulation strategy was used to control the operation of the machine inverter. The proposed approach increases performance, and durability, and improves dynamic response to power. The proposed approach was used to control the generator inverter only to show how effective and efficient it is in improving the quality of power and current without resorting to controlling the grid inverter. This proposed strategy was implemented using MATLAB, where the effectiveness of the control strategy is evaluated under variable wind conditions and parameter changes, with the results compared to the traditional approach and some related work. The comparison with the conventional approach shows that the proposed approach reduces the total harmonic distortion of current by 97.24% and 91.81%. The simulation results show that the proposed approach significantly outperforms traditional control in terms of power and current quality, as active power ripples were reduced by 99.98% and 89.93%, current ripples were reduced by 99.74% and 99.38%, and reactive power ripples were reduced by 99.97% and 60.85%. Also, the proposed approach improves the steady-state error value by 96.85% and 99.98% for active power and by 67.55% and 96.59% for reactive power. These reduction ratios highlight the superiority and effectiveness of the proposed approach in improving the properties of the studied energy system, which makes it of interest in other industrial applications.
Using the rooted tree optimization to increase the performance of the improved backstepping control used to control the induction machine Dalal Zellouma, Habib Benbouhenni, Adil Yahdou, Fadhila Salhi, Ilhami Colak, Zakaria Mohamed Salem Elbarbary, Mohammed M. Alammar Measurement and Control United Kingdom, 2026 Using backstepping control to control the operation of an induction motor often leads to unwanted torque and current fluctuations. Also, the value of total harmonic distortion (THD) of current increases if the machine parameters change. These drawbacks can be attributed to the gain values of the backstepping control approach. In this work, a synergetic-sliding mode control (SSMC) technique is used to compensate for the gains of the backstepping control. Using an SSMC controller is an effective and convenient solution. On the other hand, the rooted tree optimization (RTO) algorithm is used to calculate the parameter values of the SSMC controller to improve the performance and effectiveness of the backstepping control of the induction motor. Four SSMC-RTO controllers were used in addition to the pulse width modulation strategy to control the operation of the machine’s inverter. This proposed strategy is characterized by high performance, great robustness, and high efficiency in reducing torque ripples and reducing the value of THD of current. Also, the proposed approach improves the values of the integral of square error (ISE), integral of absolute error (IAE), integral of time multiplied square error (ITSE), and integral of time multiplied absolute error (ITAE) compared to the SSMC-BC approach. The proposed approach was implemented using MATLAB, and the performance was compared with the BC-SSMC approach. The effectiveness of the proposed approach is evaluated using several different tests. Simulation results show that the proposed SSMC-BC approach based on RTO algorithm has high performance and significantly improves current and torque quality compared to the BC-SSMC approach. The proposed approach significantly reduces the overshoot value of the flux compared to the SSMC-BC technique. The simulation results show that the proposed approach significantly outperforms the SSMC-BC technique and some related work in terms of the THD value of current, as the THD value was reduced by approximately 13.56%, 11.11%, and 34.51% compared to the SSMC-BC technique. These results make the proposed approach of interest in other industrial applications in the future.
Improving the Characteristics of the Direct FOC Strategy in DFIG-Based Wind Turbine Systems Using FOIDD and FOPD Controllers Hamza Gasmi, Habib Benbouhenni, Z. M. S. Elbarary, Ilhami Colak, Tahar Tafticht, Salman Arafath Mohammed Energy Science and Engineering, 2026 The conventional direct field‐oriented control (DFOC) strategy using proportional–integral (PI) regulators for managing the energy of a doubly fed induction generator (DFIG) in wind turbine systems often proves inadequate due to the PI controller's sensitivity to parameter variations. Additionally, it tends to produce lower‐quality energy output. To address these shortcomings, this study proposes a novel control strategy that combines two fractional‐order controllers: a fractional‐order proportional‐derivative (FOPD) regulator and a fractional‐order integral dual‐derivative (FOIDD) regulator. These regulators are valued for their simplicity, low cost, and ease of implementation. The hybrid FOPD–FOIDD approach aims to enhance the performance and robustness of the traditional DFOC‐PI control applied to DFIG‐based wind turbine systems, enabling improved power regulation and dynamic response. To further optimize the designed control system, Particle Swarm Optimization is used to fine‐tune the controller parameters, ensuring efficient and stable power generation under varying and dynamic wind conditions. The new regulator replaces the classical PI in the DFOC scheme for the rotor‐side converter of the DFIG. The design and simulations were realized in MATLAB, and results were rigorously compared with those of the DFOC‐PI system under diverse operating conditions, including variations in active power reference, rapid wind speed changes, and parameter uncertainties. The comparative analysis demonstrates that the proposed FOPD–FOIDD controller significantly outperforms the DFOC‐PI. Simulation results show major improvements in dynamic performance, including reductions in current harmonic distortion by up to 87.55% and 14.14%, and substantial decreases in active power, torque, and reactive power ripples—by 93.18%, 92.42%, and 74.99%, respectively. Overall, the new control strategy exhibits superior robustness and stability, maintaining high‐quality power generation despite unpredictable variations in generator parameters.
GA-optimized cascade control strategy of DFIG-Based twin-rotor wind turbines Habib Benbouhenni, Nicu Bizon, Ilhami Colak, Mohamed I. Mosaad Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy, 2026 Direct Power Control (DPC) is widely employed in wind power systems (WPSs) due to its simplicity, effectiveness, and ability to manage the power of WPSs. However, conventional DPC suffers from power quality issues, including harmonic distortion, current ripple, uncertainty, and reduced efficiency when the system parameters vary significantly. To address these issues, this work presents a new, straightforward, and more reliable control approach based on a proportional-integral regulator, known as cascade control (CC). The gains of this CC were optimized via a genetic algorithm (GA). This CC-GA approach is applied to doubly fed induction generators (DFIGs) with rotor-side converter (RSC) management, which are commonly used generators in WPSs. This is accomplished by regulating the RSC pulse-width modulation. Moreover, effective control of the output power of twin-rotor large wind turbines is essential to ensure maximum energy extraction under varying wind conditions. The proposed CC-GA outperforms some DPC techniques in terms of power quality under both normal and abnormal operating conditions. The effectiveness of the presented CC-GA approach is confirmed in terms of robustness, dynamic rapid response, current fitness, and ripple ratio.
Intelligent Battery Control for Solar Systems Slimane Hadji, Abdelhakim Belkaid, Korhan Kayisli, Ilhami Colak, Said Aissou, Lylia Larbi 14th International Conference on Renewable Energy Research and Applications Icrera 2025, 2025
Investigation of Cable Line Heat Mode Parameters in Power Supply Systems Stanimir Valtchev, Rosario Miceli, Elena Ivanovna Gracheva, Almaz Radikovich Petrov, Ivan Ivanovich Tsitson, Ilhami Colak 13th International Conference on Renewable Energy Research and Applications Icrera 2024, 2024
High Gain Voltage SEPIC Converter for PV System Slimane Hadji, Abdelhakim Belkaid, Lylia Larbi, Ilhami Colak, Korhan Kayisli, Said Aissou 12th International Conference on Smart Grid Icsmartgrid 2024, 2024
Method for Estimating Power Losses in Low-Voltage Networks Stanimir Valtchev, Rosario Miceli, Almaz Radikovich Petrov, Elena Ivanovna Gracheva, Ilhami Colak, Fujio Kurokawa 13th International Conference on Renewable Energy Research and Applications Icrera 2024, 2024
Hydrogen Production by Water Electrolysis: Review Hassan Mabrak, Siham Elmazouzi, Driss Takky, Youssef Naimi, Ilhami Colak 12th IEEE International Conference on Renewable Energy Research and Applications Icrera 2023, 2023
PV&TEG Hybrid System controlled with Fuzzy based MPPT Ruhi Zafer Caglayan, Korhan Kayisli, Mariacristina Roscia, Abdelkader Harrouz, Ramazan Bayindir, Ilhami Colak 11th International Conference on Smart Grid Icsmartgrid 2023, 2023
Fuzzy-MPPT Controller Based Solar Shunt Active Power Filter Mustafa Sarra, Abdelhakim Belkaid, Ilhami Colak, Ghania Boudechiche, Korhan Kayisli 11th IEEE International Conference on Renewable Energy Research and Applications Icrera 2022, 2022
A Case Study: Standalone Hybrid Renewable Energy Systems Ruhi Zafer Caglayan, Korhan Kayisli, Nurkhat Zhakiyev, Abdulkader Harrouz, Ilhami Colak 11th IEEE International Conference on Renewable Energy Research and Applications Icrera 2022, 2022
Multi Input-Multi Output (MIMO) converter system fed by Wind Energy Fethi Batincan Gurbuz, Korhan Kayisli, Sevki Demirbas, Ramazan Bayindir, Ilhami Colak, Mariacristina Roscia 11th IEEE International Conference on Renewable Energy Research and Applications Icrera 2022, 2022
A direct adaptive sliding mode high voltage gain peak power tracker for thermoelectric applications Revue Roumaine Des Sciences Techniques Serie Electrotechnique Et Energetique, 2021
Optimal energy management of distributed generation in micro-grids using artificial bee colony algorithm Mehrdad Ahmadi Kamarposhti, Department of Electrical Engineering, Jouybar Branch, Islamic Azad University, Jouybar, Iran, Ilhami Colak, Kei Eguchi, Department of Electrical, Electronics Engineering, Faculty of Engineering, Architectures, Nisantasi University, Istanbul, Turkey, Department of Information Electronics, Fukuoka Institute of Technology, Fukuoka, Japan Mathematical Biosciences and Engineering, 2021
WELCOME to ICRERA 2021 10th IEEE International Conference on Renewable Energy Research and Applications Icrera 2021, 2021
Control Strategy of the Permanent Magnet Stepper Motor Harrouz Abdelkader, Glaoui Hachemi, Ilhami Colak, Korhan Kayisli, Virgil Dumbrava 10th IEEE International Conference on Renewable Energy Research and Applications Icrera 2021, 2021
Targets of Countries in Renewable Energy Faten AYADI, Ilhami COLAK, Ilhan GARIP, Halil Ibrahim BULBUL 9th International Conference on Renewable Energy Research and Applications Icrera 2020, 2020
Analytical design of fractional order proportionalintegral controller for enhanced power control of doubly-fed induction generator Revue Roumaine Des Sciences Techniques Serie Electrotechnique Et Energetique, 2020
Interoperability in Smart Grid Faten Ayadi, Ilhami Colak, Ramazan Bayindir 7th International Conference on Smart Grid Icsmartgrid 2019, 2019
Solutions and suggestions for smart grid threats and vulnerabilities International Journal of Renewable Energy Research, 2019
A Fuzzy Controller for Stabilization of Asynchronous Machine Abdelkader Harrouz, Kadouri Nourdine, Korhan Kayisli, Halil Ibrahim Bulbul, Ilhami Colak 7th International IEEE Conference on Renewable Energy Research and Applications Icrera 2018, 2018
Comparative Study between CSP and CPV as Two Energy Systems Abdelkader Harrouz, Ilyas Daouali, Korhan Kayisli, Halil Ibrahim Bulbul, Ilhami Colak 7th International IEEE Conference on Renewable Energy Research and Applications Icrera 2018, 2018
Enhanced operating scheme of ESS for DC transit system Kyoungmin Kwon, Kyoung-Gu Lee, Taesuk Kim, Jinkook Lee, Byoung-Jeen Jone, Jaeho Choi, Ilhami Colak Proceedings 2016 IEEE International Power Electronics and Motion Control Conference Pemc 2016, 2016
Controller design for a limited angle torque motor and dsPIC implementation Ilhami Colak, Murat Sahin, Semih Cakiroglu, Zafer Esen Joint International Conference Acemp 2015 Aegean Conference on Electrical Machines and Power Electronics Optim 2015 Optimization of Electrical and Electronic Equipment and Electromotion 2015 International Symposium on Advanced Electromechanical Motion Systems, 2016
Big data issues in smart grid systems Seref Sagiroglu, Ramazan Terzi, Yavuz Canbay, Ilhami Colak 2016 IEEE International Conference on Renewable Energy Research and Applications Icrera 2016, 2016
Dynamic characteristics of integral gain changeable digital control dc-dc converter for suppression of output capacitance International Journal of Renewable Energy Research, 2016
CFD based wind assesment in west of Turkey Ilhami Colak, Melike Selcen Ayaz, Kurtulus Boran 2015 International Conference on Renewable Energy Research and Applications Icrera 2015, 2015
Welcome to ICRERA 2015 2015 International Conference on Renewable Energy Research and Applications Icrera 2015, 2015
Welcome to ICRERA 2014 3rd International Conference on Renewable Energy Research and Applications Icrera 2014, 2014
A novel two-compensation digital control DC-DC converter Fujio Kurokawa, Yudai Furukawa, Tsuyoshi Higuchi, Akihiko Katsuki, Ilhami Colak 3rd International Conference on Renewable Energy Research and Applications Icrera 2014, 2014
Welcome to ICRERA 2013 Miguel A. Sanz-Bobi, Ilhami Colak, Fujio Kurokawa Proceedings of 2013 International Conference on Renewable Energy Research and Applications Icrera 2013, 2013
Development of a real time monitoring and control system for PLC based elevator Proceedings of the 2011 14th European Conference on Power Electronics and Applications EPE 2011, 2011
Sensorless control of SRM by the aid of artificial neural network adaptive reference model Proceedings of the 2011 14th European Conference on Power Electronics and Applications EPE 2011, 2011
Providing equality of frequencies and phase angles based on microcontroller for parallel connection of generators Journal of the Faculty of Engineering and Architecture of Gazi University, 2010
Simulation of the DC capacitor voltage controlled single phase shunt active power filters for power quality improvement Gazi University Journal of Science, 2010
Design and implementation of a neural controller for power factor correction Engineering Intelligent Systems, 2009
Investigating industrial risks based on information security for observerable electrical energy distribution system and suggestions Journal of the Faculty of Engineering and Architecture of Gazi University, 2009
Modeling of a three phase SPWM multilevel VSI with low THD using Matlab/Simulink 2009 13th European Conference on Power Electronics and Applications EPE 09, 2009
18 Pulse controlled rectifier: A case study on UPS 2009 13th European Conference on Power Electronics and Applications EPE 09, 2009
Microcontroller based warning system for right phase order and phase collapse for alternators Journal of the Faculty of Engineering and Architecture of Gazi University, 2009
Transition to adaptive educational hypermedia systems from web based educational systems: Review of design approaches for the AEHS Journal of the Faculty of Engineering and Architecture of Gazi University, 2008
Torque and speed control of wound rotor induction motor by adjusting the rotor resistance with a microcontroller Journal of the Faculty of Engineering and Architecture of Gazi University, 2008
Building of W&S Energy System Sevki Demirbas, Mehmet Demirtas, Ibrahim Sefa, Ilhami Colak Speedam 2008 International Symposium on Power Electronics Electrical Drives Automation and Motion, 2008
Design and implementation of parallel operation set of alternators for educational purpose Journal of the Faculty of Engineering and Architecture of Gazi University, 2008
Microcontroller based DC/DC boost converter for solar energy systems Journal of the Faculty of Engineering and Architecture of Gazi University, 2008
Remote controlling and monitoring of HVAC system over internet Journal of Scientific and Industrial Research, 2008
A web based adaptive educational system Dadong Yu, Dongbo Liu, Rui Luo, Jianxin Wang Proceedings 6th International Conference on Machine Learning and Applications Icmla 2007, 2007
Protection of induction motor using PLC I. Colak, R. Bayindir, A. Bektas, I. Sefa, G. Bal Powereng 2007 International Conference on Power Engineering Energy and Electrical Drives Proceedings, 2007
Estimation of magnetic field distributions in substation centers using artificial neural networks Journal of Scientific and Industrial Research, 2007
Review of the testing methods for full-load temperature rise testing of induction machines EPE Journal European Power Electronics and Drives Journal, 1996
Mixed-frequency testing of induction machines using inverters IEE Conference Publication, 1993
RECENT SCHOLAR PUBLICATIONS
Power System Voltage Stability Enhancement in a Wind Generators Connected Electrical Network with Increased Load Demand Using FACTS Device SPRK SanthanKumar Cherukuri,Shanker Bhanath ICRDPET 2, 122-128 , 2013 2013.0
A Nero fuzzy control approach for automatic generation control Of Interconnected power systems in Deregulated Environment PV Mr.K.Rajendra Technological Developments in Power Engineering,Vignan University,Vadlamudi … , 2012 2012.0
IMPROVEMENT OF VARIOUS DISTURBANCES IN POWER SYSTEM USING DYNAMIC VOLTAGE RESTORER AD Nitin Aggarwal, K.Rajendra, Prakash Kumar Dewangan IeJMAE 1 (1), 15-31 , 2010 2010.0
Simulation of AGC in Deregulated Environment ADKS K. Rajendra, Nitin Aggarwal, S.P. Jain IJAER 5 (Number 6), 949-961 , 2010 2010.0
Simulation of Dynamic Voltage Restorer in Power System RDAD Nitin Aggarwal, K. Rajendra IJAER 5 (Number 3), 401-422 , 2010 2010.0
International e journals N Aggarwal, K Rajendra, A Dewangan, PK Dewangan
MOST CITED SCHOLAR PUBLICATIONS
Power System Voltage Stability Enhancement in a Wind Generators Connected Electrical Network with Increased Load Demand Using FACTS Device SPRK SanthanKumar Cherukuri,Shanker Bhanath ICRDPET 2, 122-128 , 2013 2013.0
A Nero fuzzy control approach for automatic generation control Of Interconnected power systems in Deregulated Environment PV Mr.K.Rajendra Technological Developments in Power Engineering,Vignan University,Vadlamudi … , 2012 2012.0
IMPROVEMENT OF VARIOUS DISTURBANCES IN POWER SYSTEM USING DYNAMIC VOLTAGE RESTORER AD Nitin Aggarwal, K.Rajendra, Prakash Kumar Dewangan IeJMAE 1 (1), 15-31 , 2010 2010.0
Simulation of AGC in Deregulated Environment ADKS K. Rajendra, Nitin Aggarwal, S.P. Jain IJAER 5 (Number 6), 949-961 , 2010 2010.0
Simulation of Dynamic Voltage Restorer in Power System RDAD Nitin Aggarwal, K. Rajendra IJAER 5 (Number 3), 401-422 , 2010 2010.0
International e journals N Aggarwal, K Rajendra, A Dewangan, PK Dewangan
