Dr. SARIKI MURALI
@nitandhra.ac.in
Ad-hoc faculty, Electrical Engineering
National Institutional Technology Andhra Pradesh
RESEARCH INTERESTS
Power system dynamics and control, Artificial intelligence, Soft computing techniques, MicroGrid, Smart Grid
Scopus Publications
Scopus Publications
Sariki Murali, Ravi Shankar, Prateek Sharma, and Shivam Singh
Informa UK Limited
Sariki Murali and Ravi Shankar
Informa UK Limited
Sariki Murali and Ravi Shankar
Wiley
Recent advancements in the power system put forth various challenges to frequency regulation studies. These challenges show an immense impact on the power system's inertia and load pattern. The traditional load frequency control (LFC) mechanism may not be efficient to sustain the frequency regulation against these new challenges. Hence an intelligent, effective, and efficient controller is indispensable for various operating conditions of the power system. With this motive, a new intelligence‐based controller (i.e., fuzzy (FOPIλ) + PIDN) is proposed and explored for the LFC of the modern power system. Besides, an opposition‐based volleyball premier league algorithm is deployed to obtain optimal control parameters for the most promising results. The justification of the controller is evaluated on a nonlinear interconnected hybrid deregulated power system for several case studies. The effectiveness of the proposed controller has been verified by comparing it with several popular strategies for the step and random perturbation in load. Also, the firmness in the dynamic response against a wide range of system parameter variations has been analyzed. Moreover, the participation of a modified high voltage direct current model with inertia emulation technique in the system's inertia build‐up has been demonstrated. Finally, the efficacy of the proposed LFC scheme has been verified over previously published literature on their platform.
Sariki Murali, Kumar Abhinav, and Ravi Shankar
IEEE
The world is more focusing on the mission of zero carbon emission and coming up with suitable propagandas. Utilization of renewable energy sources (RES) and electric vehicle (EV) in generation and automobile sectors are major stepping stones towards this mission. But, the drastic rise in EVs enables more number of vehicles charging on the electric grid. This shows considerable impact on the power system dynamics. The EVs can also provide ancillary services with appropriate control technique to increase the robustness of the power system. Hence, the study of the dynamic stability analysis of the power system in necessary including EVs. This work evaluates the participation of EVs improving the frequency regulation of the power system using an aggregate model. A single area system and P. Kundur's two-area four generator model has been taken as test systems for analysis purposes. The frequency regulation of the considered test systems is studied using volleyball premier league algorithm based PID controller. The comparative studies show the ancillary support of EVs in transient response of the system for a sudden perturb in load demand. Also the dynamic behavior of the system has been verified for the presence of communication delay in the LFC mechanism.
Sariki Murali, Kumar Abhinav, Ravi Shankar, and S. K. Parida
IEEE
A primary goal of a power system operation and control strategy is keeping the system’s cumulative generation and load in sync. Load frequency control (LFC) has become an important component of contemporary power systems to attain this aim. The researchers have proposed several controllers to enhance the LFC scheme. In this paper, an active disturbance rejection control (ADRC) based control technique bridges the gap between traditional and modern control practices. The ADRC method provides better disturbance rejection. Furthermore, the load forecasting approach is incorporated to make the system resistant to future load disturbances. An improved long short-term memory (LSTM) based day ahead forecasting scheme is suggested in this work. The suggested method solves the error accumulation problem of the iterate-based forecasting technique that may occur while predicting multiple future steps. This forecasting-based control strategy is tested on the IEEE- 39 bus system with the active participation of renewable energy sources. The test system is divided into three areas. A real-time load data of Delhi NCR recorded at every 5-minute interval from three different distribution companies (DISCOs) is used as a load profile for the three-area test system. A day ahead prediction for all three areas generates a disturbance signal used as LFC input. The simulation result shows that the suggested forecasting scheme gives a satisfactorily predicted load compared to the actual load. The controller is shown to improve the frequency regulation and tie-line power deviation over time in a multi-area test power system.
Sariki Murali, Shivam Singh, Ravi Shankar, and Ashiwani Kumar
IEEE
Shifting to electric / hybrid vehicles is a noticeable revolution in the world's zero-carbon emission mission. Besides, electric vehicles (EV) can contribute ancillary service to reinforce the systems frequency regulation. The participation of EVs in Load Frequency Control (LFC) shows an immense impact, especially in microgrids (MG). An attempt has been made in this article to explore the contribution of EV in an islanded MG. A microgrid formed by sources like a photovoltaic (PV) array, wind energy, diesel engine generator (DEG), fuel cells (FC), flywheel, and battery energy storage system (BESS) has been considered for analysis purposes. DEG and FC actively participate in frequency regulation to maintain MG’s frequency to the nominal valve. Moreover, a scenario of participation of EV fleets in the MG’s frequency is analyzed for a step and random load changes in the system. Furthermore, MG is subjected to a real-time case study, where the availability of different sources and load change in 24 hours is considered. The popular proportional-integral-derivative (PID) controller has been deployed to generate a reference single for frequency regulation for all the case studies. The optimal parameters of the PID controller are obtained by using the recently developed volleyball premier algorithm.
Sariki Murali and Ravi Shankar
Springer Science and Business Media LLC
Sariki Murali, Ravi Shankar, Shivam Shrivastav, Utkarsh Dhawal, and Vishal Kannauijia
IEEE
Active power imbalance between electrical power generation and demand causes deviation in frequency and tie-line power of an interconnected power system. Load Frequency Control (LFC) is an epoch-making method to maintain nominal frequency and tie-line power of a power system. Also, continuous research is going on to improve the effectiveness of the LFC mechanism. In this scenario, this paper contributes to design an effective controller configuration for LFC mechanism of a nonlinear multi area interconnected system. A cascaded combination of Proportional-Integral controller with Fractional Order Proportional-Derivative controller (PI-FOPDλN) has been proposed in this work. One of the popular whale optimization algorithm (WOA) has been deployed to optimize the proposed controller parameters. The proposed scheme has been compared with several conventional controllers and its robustness has been checked by subjecting it to variation in power system model parameters. Deregulation environment of power system is also incorporated for more realistic approach.
Sariki Murali, Ravi Shankar, and Pulakraj Aryan
IEEE
Frequency regulation is one of the important power quality issues of an interconnected power system. Load Frequency Control (LFC) is a classic approach for frequency regulation of the power system. The optimization techniques, used to optimize the parameters of controller used in LFC mechanism plays a vital role. On other hand, integration of Distributed Generation (DG) systems and corresponding power electronic converters ruins power system inertia. Through restoring inertia of the power system, improvement in the rate of change of frequency can be accomplished. This article discusses derivative based virtual inertia emulation technique using Energy Storage System (ESS) and its impact on power system's frequency regulation. At the same time, a new effective optimization technique, named Opposition Based Volleyball Premier League (OVPL) algorithm is used to optimize the essential parameters of controller and ESS. The effectiveness of the proposed work has been examined by deploying for a two area interconnected hybrid power system including nonlinearities. The performance of proposed algorithm is verified by comparing with several recent optimization techniques. The robustness of the work against wide range variation of power system model parameters.
Sariki Murali and Ravi Shankar
Springer Singapore
Sariki Murali and Ravi Shankar
IEEE
This article highlights the development of a load frequency control (LFC) scheme for a deregulated realistic interconnected power system using inertia emulation controlled (INEC) HVDC tie-line. The realistic secenario of the power system has been developed by inclusion of nonlinearities like rating limitation of generation systems, dead band of governer system and dynamics of boiler. A Proportional-Integral-Derivative controller with derivative filter (PIDN) whose gains are optimized by a successful implementation of Volleyball Premier League (VPL) optimization technique is deployed for secondary level control of LFC scheme. Furthermore, an accurately modelled HVDC tie-line in which the parameters like the capacity of the line, voltage rating and loading conditions are included is utilised along with INEC strategy for this work. The LFC scheme with support of INEC based HVDC tie-line has been justified by comparative analysis of system with and without proposed scheme. The robustness check has been done for the proposed LFC scheme under the case of power system area extension. The overall work has been developed using MATLAB/Simulink Toolbox ®.
Sariki Murali, Abhineet Prakash, and Ravi Shankar
IEEE
This article demonstrates the Load Frequency Control (LFC) mechanism of the multi-area interconnected system consists of diverse sources under a restructured environment. The nonlinear physical constraints such as Generation Rate Constraints (GRC), Dead Band of Governor (GDB) and Dynamics of Boiler (BD) are considered for sensible analysis. Integration of Distributed Energy System (DES) and Electrical Vehicle (EV) are contemplated to create the current power system scenario. A 2- degree freedom PID controller with derivative filter (2-DOF-PIDN) is proposed for LFC mechanism. The gain values for the controller are optimized using a true event based volleyball premier league optimization method. The robust support for proposed LFC mechanism with the presence of EV under constant and variable DES output has been evaluated using MATLAB/Simulink toolbox®.
Abhineet Prakash, Sariki Murali, Ravi Shankar, and Ravi Bhushan
Elsevier BV
Sariki Murali, Vulisi Narendra Kumar, and Gayadhar Panda
IEEE
The increasing importance of renewable sources in the field of automotive sector encourages the use of solar photovoltaic (PV) system powered brushless DC motor (BLDC) drives. To overcome the limitations associated with conventional DC-DC converters, zeta converter is used as power processing stage in this paper to optimize power processing. The extraction of maximum power from solar PV system is done by providing switching pulses to zeta converter through incremental conductance (INC) maximum power point tracking (MPPT) algorithm. Integration of hybrid energy storage system (HESS) is employed to maintain constant voltage across the BLDC motor drive despite of variation in power output of solar PV system. A dual loop control strategy is employed for power management between solar PV system and HESS. The performance of the proposed system for variation in irradiation levels and load torque is demonstrated using MATLAB/Simulink. The real-time validation of the proposed controller is done through the Xilinx system generator platform interfaced with Zynq ZC-702 FPGA kit.
Sariki Murali, Kaibalya Prasad Panda, and Gayadhar Panda
IEEE
The increased importance of renewable sources in the field of automotive sector entails the use of solar photovoltaic (PV)-fed water pumping system driven by a brushless DC (BLDC) motor drive. To overcome the drawback associated with the conventional DC-DC converters, a zeta converter is employed to optimize the power processing. The maximum power is extracted from the solar array by controlling the duty cycle of zeta converter through particle swam optimization (PSO) based maximum power point tracking (MPPT) algorithm. To mitigate the PV output variation, hybrid energy storage system (HESS) is integrated to the PV system which inturn maintains the constant voltage at the input of BLDC motor drive. A robust power management algorithm is employed for proper control of PV-HESS system. The overall MPPT with power management control facilitates the zeta converter to meet smooth performance of the water pumping system. The performance of the proposed controller is demonstrated using MATLAB/Simulink for variation in atmospheric condition and Xilinx system generator control platform interfaced with Zynq ZC-702 FPGA kit.