Shiba Ranjan Paital
@cet.edu.in
Assistant Professor, Department of Electrical Engineering
ODISHA UNIVERSITY OF TECHNOLOGY AND RESEARCH, BHUBANESWAR, ODISHA
EDUCATION
Doctor of Philosophy
Department of Electrical Engineering
International Institute of Information Technology (IIIT) Bhubaneswar, Odisha, India
RESEARCH INTERESTS
Power System Stability Improvement, FACTS Controllers, Artificial Intelligence, Hybrid Power Systems
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Dipak R. Swain, Prakash K. Ray, Ranjan K. Jena, and Shiba R. Paital
Springer Science and Business Media LLC
Sunita S. Biswal, Dipak Ranjan Swain, Shiba R. Paital, and Pravat Kumar Rout
IEEE
This article highlights the key components of a multi-infeed voltage source converter (VSC)-based high voltage direct current (HVDC) system with modeling and simulation of a fractional order PI (FPI) controller. Due to their fragmental characteristics, fractional-order PI (FPI) controllers are more durable than PI controllers in multi-infeed VSC HVDC (MiVDC) systems. The FPI parameters significantly impact the controller's performance, and they must be set optimally. The Teaching-Learning-Based Optimizer (TLBO) is recommended. With frequency domain analysis, detailed modeling and design of LCL filters are presented. Line and converter current and voltage control are analyzed, and PI, FPI, and TFPI controllers have been designed. Due to the proposed approach's superior performance in terms of voltage stability for a variety of power system control applications, comparative simulation results with tables are used to support the possibility of real-time application.
Shiba R. Paital, Prakash K. Ray, and Soumya R. Mohanty
Elsevier BV
Shiba Ranjan Paital and Prakash Kumar Ray
Informa UK Limited
This paper presents a robust Interval type-2 Fuzzy Proportional Integral Derivative (IT2FPID) based Power System Stabilizer (PSS) to lessen low frequency oscillations (LFOs) in the power system wit...
Shiba Ranjan Paital, Prakash Kumar Ray, Asit Mohanty, and Gayadhar Panda
IEEE
This article proposes an adaptive neuro-fuzzy sliding mode control based power system stabilizer (ANFSMC-PSS) with an aim to minimize low frequency oscillations (LFOs) arising due to disturbances in the power system. The proposed ANFSMC-PSS is a combination of sliding mode control (SMC) and neuro fuzzy system (NFS) to enhance stability of power system. Here, stability is assured through Lyapunov criterion. The proposed ASMT2NF-PSS considers both local signal (speed deviation) and remote signal (accelerating power) provided by PMUs as input signals and its efficacy is investigated in both single machine infinite bus (SMIB) and multimachine power system (MMPS) under various disturbance conditions. The simulation results clearly shows that the proposed ANFSMC-PSS gives superior oscillation damping performance as compared to that of fuzzy sliding mode control based PSS (FSMC-PSS), sliding mode control based PSS (FSMC-PSS) and conventional lead-lag based PSS (CPSS) under different disturbance conditions.
Shiba R. Paital, Prakash K. Ray, Soumya R. Mohanty, and Asit Mohanty
Institution of Engineering and Technology (IET)
Prakash K. Ray, Department of Electrical Engineering, CET Bhubaneswar, Bhubaneswar, India. Email: pkrayiiit@gmail.com Abstract An adaptive fractional fuzzy sliding mode controller (AFFSMC) based power system stabilizer (PSS) is proposed for damping out low‐frequency oscillations in single machine infinite bus and multimachine power systems under various operational contingencies. The proposed stabilizer is a combination of adaptive fuzzy control with a fractional order proportional integral derivative controller and sliding mode controller. A fractional sliding surface is adopted which enables the system to remain in the proposed robust sliding surface stably to eliminate the effects of chattering at any initial conditions. In addition, fractional adaptive rules based on fuzzy sets were used for optimal selection of parameters of the controller. Here, the stability issue is addressed through Lyapunov synthesis. Speed deviation and acceleration are considered as input signals to the proposed controller. A comparative analysis of performance indices such as settling time, maximum peak overshoot is presented to demonstrate the advantages of the proposed approach. In addition, stability analysis using Eigen value, integral time absolute error and shape of demerit were also presented to augment the stability study. The simulation results confirm that the proposed AFFSMC‐PSS shows superior robust damping performance as compared to other approaches.
Shiba Ranjan Paital, Prakash Kumar Ray, and Asit Mohanty
IEEE
In this paper a robust fractional order fuzzy proportional integral derivative (FOFPID) based SVC is proposed for regulating the voltage profile of single machine infinite bus (SMIB) and multimachine power systems (MMPS). The proposed FOFPID controller produces the required control signal to minimize the low frequency oscillations during transient conditions. Further, in order to improve the controller performance, the gains of FOFPID controller are tuned using bat algorithm (BA), bacterial foraging optimization (BFO) and particle swarm optimization (PSO) technique. The proposed technique improves the voltage profile and also minimizes settling time and peak overshoot during different operating conditions. Further, a comparative analysis of the proposed controllers is presented to augment the stability enhancement study. It has been observed from the qualitative as well as quantitative results that oscillations are being damped out quickly in case of the proposed BAFODPID-SVC as compared to BFO-FOFPID-SVC and PSOFOFPID-SVC controller in both SMIB and multimachine power system and thus improving the voltage profile under various operational contingencies.
Prakash K. Ray, Shiba R. Paital, Lalit Kumar, Bhola Jha, Sanjay Gairola, and Manoj Kumar Panda
Springer Singapore
Prakash K. Ray, Shiba R. Paital, Asit Mohanty, Y. S. Eddy Foo, Ashok Krishnan, Hoay Beng Gooi, and Gehan A. J. Amaratunga
Institute of Electrical and Electronics Engineers (IEEE)
This article focuses on the implementation of a hybrid firefly algorithm-particle swarm optimization (FAPSO) scheme for optimizing the parameters of an interval type-2 fractional order fuzzy proportional integral derivative (IT2FOFPID)-based power system stabilizer (PSS) to minimize the low-frequency oscillations in a power system. Here, the IT2FOFPID-based PSS is designed by considering speed deviation and acceleration as input signals. In this article, a single machine infinite bus system and the New England 10 machine 39-bus power system are used for testing and comparing the approaches. Stability studies are also performed using OPAL-RT's OP5600, a real-time digital simulator. The comparative studies demonstrate that the hybrid FAPSO optimized IT2FOFPID-PSS provides better damping and stability performance when compared with the PSSs based on the FA/PSO/ hybrid genetic algorithm and bacterial foraging optimization and hybrid differential evolution and pattern search optimized IT2FOFPID approaches under various operating scenarios.
Shiba R. Paital, Prakash K. Ray, and Asit Mohanty
Institution of Engineering and Technology (IET)
A comprehensive review on stability analysis in multimachine power system is presented in this study. The increasing demand of power has led to the expansion of power system and complexity in design as well as operation. This threatens to deteriorate the stability and reliability in the power network. However, with the advances in semiconductor and power electronic control technology, various flexible AC transmission systems (FACTS) are designed to enhance the power system stability. Different power system configurations with the incorporation of conventional and distributed generations (DGs) are proposed whose stability is being tested in the presence of the FACTS controllers. The optimal damping of power system oscillations under transient operating conditions are studied in presence of HVAC and HVDC links with conventional as well as DG systems and energy storage options like battery, supercapacitors and so on. Different control approaches such as classical control, robust control, wide-area control along with soft computing approaches like neural networks, fuzzy logic control, adaptive neuro-fuzzy inference system, genetic algorithm, particle swarm optimisation and so on are broadly discussed. A comparative analysis of different methodologies is presented to establish a quick survey of the proposed solutions for stability enhancement.
Prakash K. Ray, Shiba R. Paital, Asit Mohanty, Foo Y.S. Eddy, and Hoay Beng Gooi
Elsevier BV
Shiba R. Paital, Prakash K. Ray, Asit Mohanty, and Sambit Dash
Elsevier BV
Prakash K. Ray, Shiba R. Paital, Asit Mohanty, Foo Y. S. Eddy, Ashok Krishnan, H. B. Gooi, and G. A. J. Amaratunga
IEEE
This paper presents an improvement in stability in a single machine connected to infinite bus power system by designing an optimal fractional order fuzzy PID based power system stabilizer (FOFPID-PSS). The low frequency oscillations resulting from load switching are damped out by the designed PSS under different operating conditions. In this paper, a bio-inspired algorithm called firefly algorithm (FA) has been employed for tuning the parameters of the proposed FOFPID-PSS controller. The robustness of the proposed controller is tested for enhancing the transient stability under different operating conditions like step and random variations in load demand. In addition to the graphical results, a comparative analysis of the proposed FOFPID-PSS controller with that of conventional PID-PSS and fuzzy PID-PSS (FPID-PSS) is also presented in terms of the performance indices (PIs) like maximum overshoot, settling time and integral squared error (ISE). The results suggest that the proposed FOFPID-PSS outperforms the FPID-PSS and PID-PSS controllers.
Shiba Ranjan Paital, Pratap Chandra Pradhan, Asit Mohanty, Prakash K. Ray, and Meera Viswavandya
IEEE
This paper presents modeling and simulation of a hybrid isolated power system consisting of wind, fuel cell, and ultracapacitor. A system under study is formulated by integrating different resources like proton exchange membrane fuel cell (PEMFC), wind and ultracapacitor (UC) as an energy storage option. The fluctuation in output power of wind energy system due its intermittency characteristic is minimized by integrating a combination of fuel cell and UC. The surplus of wind power is being converted and stored as hydrogen by the help of an electrolyzer and UC. Proportional-integral-derivative (PID) and two-degree-of-freedom PID (2-DOFPID) controllers are being incorporated into the hybrid system for improving the voltage profile. The hybrid system responses are studied for step variation in load and wind speed. Simulation results reflect that voltage variation using the proposed 2-DOFPID controller is less as compared to that of the conventional PID. The hybrid power system is modeled and simulated in MATLAB/SIMULINK environments.
Shiba Ranjan Paital, Prakash Kumar Ray, and Asit Mohanty
IEEE
This paper presents an extensive review on the application of artificial intelligence based techniques for stability assessment in a single machine infinite bus (SMIB) system. As the power system is highly complex and nonlinear therefore it is not possible to predict its behavior at every point of time. Modern power systems are operated close to their stability limits. Stability issues mainly related to low frequency oscillations (0.2–3) Hz. are important in every power system which may lead to consequent blackouts and outages in the power system. These problems are generally related to the compensation of reactive power in the power system. Therefore modern power systems are equipped with power electronically controlled devices called flexible AC transmission systems (FACTS). These FACTS devices operate efficiently if their parameters are optimally tuned. So this paper focuses on the survey of various artificial intelligence based techniques applied for the optimal tuning of various controller gains in a single machine infinite bus (SMIB) system.
Shiba R. Paital, Prakash K. Ray, and Asit Mohanty
Springer Singapore
Shiba Ranjan Paital, Prakash Kumar Ray, and Asit Mohanty
IEEE
This paper presents Particle Swarm Optimization (PSO) and BAT Algorithm (BA) optimized robust Two-Degree-of-Freedom Fractional Order PID (2-DOF-FOPID) based Static Synchronous Compensator (STATCOM) controller for study of power system stability in a single machine-infinite-bus (SMIB) system. The design of the 2DOF-FOPID based STATCOM controller was transformed into an optimization problem based on performance indices like Integral Squared Error (ISE). The proposed 2DOF-FOPID controller gains are optimized by swarm intelligence based algorithms like PSO and BA for improvement in power system stability. The robustness of the controller was verified under different loading operating conditions in a SMIB system. Further, a graphical and analytical comparison has been presented using the conventional PID, FOPID, 2-DOF-PID and 2-DOF-FOPID controllers. Investigations clearly signify that BAT algorithm optimized 2-DOF-FOPID controller outperforms other ones in terms of Integral Squared Error (ISE), peak overshoot and settling time under different operating scenarios.
Shiba Ranjan Paital, Prakash Kumar Ray, and Asit Mohanty
IEEE
In this article, a fuzzy adaptive proportional integral derivative based power system stabilizer (FAPID-PSS) was presented in order to damp interarea oscillations in a single machine infinite bus (SMIB system). Optimal tuning of gains of FAPID-PSS controller is considered as optimization problem. Change in speed is considered as the input and correcting voltage signal is considered as output of the proposed controller. A hybrid firefly-particle swarm optimization (FF-PSO) technique is implemented in order to improve power system stability. The problem of FAPID-PSS controller design is transformed into an optimization problem based on integral squared error. Further FF-PSO based optimization technique has been implemented for tuning of optimal gains of the proposed FAPID-PSS based controller. In order to test the robustness and performance of the proposed controller, it has been tested under various disturbances and operating conditions. Further, a comparison has been made between PSO optimized FAPID controller and FA-PSO optimized FAPID controller in a SMIB system. Effectiveness of the proposed controller was analyzed graphically as well as analytically that the proposed FFPSO tuned FAPID-PSS controller performs better than conventional controllers.
Shiba Ranjan Paital, Prakash Kumar Ray, and Asit Mohanty
IEEE
In this paper, artificial intelligent approaches like Bacteria Foraging Optimization (BFO) and Bat Algorithm (BA) have been used for optimizing gains of proportional-integral-derivative (PID) controller that is being incorporated with Static Var Compensator (SVC) in a single machine infinite bus (SMIB) system. The proposed techniques optimize the parameters of PID controller to ensure improvements in system stability. The performance and robustness of SVC controller is tested under different controllers like conventional PID, BA-PID and BFO-PID under varying operating conditions. It is observed graphically as well as quantitatively that BA-PID controller outperforms over BFO-PID controller under different operating conditions.
Shiba R. Paital, Prakash K. Ray, Asit Mohanty, Sandipan Patra, and Harishchandra Dubey
IEEE
Prakash K. Ray, Shiba R. Paital, Asit Mohanty, and Tapas K. Panigrahi
Elsevier BV
Prakash K. Ray, Shiba R. Paital, Asit Mohanty, T. K. Panigrahi, Manish Kumar, and Harishchandra Dubey
IEEE
This paper presents a robust power system stabilizer (PSS) based PID controller for study of stability in a single-machine-infinite-bus (SMIB) power system. The PID controller gains are optimized by bacterial foraging optimization (BFO) and particle swarm optimization (PSO) for improvement of system stability in SMIB system. The robustness of the controller was tested under different operating conditions and their performances are being compared with the conventional PSS-PID controller. In addition, their effectiveness are also investigated through the performance indices like Integral Squared Error (ISE), peak overshoot and settling time. Further, stability of the power system is evaluated by bode plot and mean squared error curve of the proposed optimization techniques. It is observed from the simulated results that PSO based PSS-PID controller provide better performance and stability as compared to BFO optimized PSS-PID and conventional PSS-PID controllers under different operating scenarios.
Shiba Ranjan Paital, Sandipan Patra, Anup K Singh, Asit Mohanty, and Prakash K Ray
IEEE
This article represents the reactive power compensation issue with the help of FACTS controller and transient stability analysis in a Wind-Diesel hybrid power system. DFIG is widely used due to its simplicity and high efficiency in wind energy generation system. Back to back converters are employed in DFIG based Wind Energy Conversion System (WECS) with proper active and reactive power control strategy. Mathematical model of the proposed hybrid system with Unified Power Flow (UPFC) controller is developed to compensate the reactive power in the proposed system. The mathematical model of UPFC is employed for transient stability analysis of hybrid system with incorporation IEEE type 1 excitation system. The analysis of the proposed system is performed with varying loading conditions. A comparison based on simulation is then performed between PI controlled UPFC and PSO controlled UPFC.