Papers by Pravat Kumar Rout
Modified Nonlinearity observer-based Sliding Mode Controller for Electric Vehicle Operation (Electric Vehicle Dynamics Study)
International journal of power system operation and energy management, Oct 1, 2011
This paper proposes the improvement of power flow during transient condition of HVDC light using ... more This paper proposes the improvement of power flow during transient condition of HVDC light using PI Controller. The Optimal design of PI controller for a HVDC light is a challenging task and time consuming using the conventional techniques. This work presents analysis of transient stability of HVDC link using PI controller, and the stability has been improved by optimized gains of PI controller. The simulation results are presented to show the effectiveness of the proposed Particle swarm Optimization Technique (PSO) based approach for the design of optimal conventional controller for a HVDC light in a single machine decoupled power system.
Energies
The extensive application of power transfer through high-voltage direct current (HVDC) transmissi... more The extensive application of power transfer through high-voltage direct current (HVDC) transmission links in smart grid scenarios is due to many factors such as high-power transfer efficiency, decoupled interconnection, control of AC networks, reliable and flexible operation, integration of large wind and photovoltaic (PV)-based off-shore and on-shore farms, cost-effectiveness, etc. However, it is vital to focus on many other aspects like control, protection, coordinated operation, and power management to acquire the above benefits and make them feasible in real-time applications. HVDC protection is needed to focus further on innovative and devoted research because the HVDC system is more vulnerable to system faults and changes in operational conditions in comparison to AC transmission because of the adverse effects of low DC-side impedances and sensitive semi-conductor-based integrated power electronics devices. This paper provides a comprehensive review of the techniques proposed ...
Applied Sciences
Demand-side management (DSM) is a significant component of the smart grid. DSM without sufficient... more Demand-side management (DSM) is a significant component of the smart grid. DSM without sufficient generation capabilities cannot be realized; taking that concern into account, the integration of distributed energy resources (solar, wind, waste-to-energy, EV, or storage systems) has brought effective transformation and challenges to the smart grid. In this review article, it is noted that to overcome these issues, it is crucial to analyze demand-side management from the generation point of view in considering various operational constraints and objectives and identifying multiple factors that affect better planning, scheduling, and management. In this paper, gaps in the research and possible prospects are discussed briefly to provide a proper insight into the current implementation of DSM using distributed energy resources and storage. With the expectation of an increase in the adoption of various types of distributed generation, it is estimated that DSM operations can offer a valuab...
Computers, Materials & Continua, 2021
This paper suggests a combined novel control strategy for DFIG based wind power systems (WPS) und... more This paper suggests a combined novel control strategy for DFIG based wind power systems (WPS) under both nonlinear and unbalanced load conditions. The combined control approach is designed by coordinating the machine side converter (MSC) and the load side converter (LSC) control approaches. The proposed MSC control approach is designed by using a model predictive control (MPC) approach to generate appropriate real and reactive power. The MSC controller selects an appropriate rotor voltage vector by using a minimized optimization cost function for the converter operation. It shows its superiority by eliminating the requirement of transformation, switching table, and the PWM techniques. The proposed MSC reduces the cost, complexity, and computational burden of the WPS. On the other hand, the LSC control approach is designed by using a mathematical morphological technique (MMT) for appropriate DC component extraction. Due to the appropriate DC-component extraction, the WPS can compensate the harmonics during both steady and dynamic states. Further, the LSC controller also provides active power filter operation even under the shutdown of WPS condition. To verify the applicability of coordinated control operation, the WPS-based microgrid system is tested under various test conditions. The proposed WPS is designed by using a MATLAB/Simulink software.
VSC based HVDC Transmission System using Adaptive FPI Controller
2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT), 2021
High Voltage DC (HVDC) is an established technology in the power sector for the past few decades ... more High Voltage DC (HVDC) is an established technology in the power sector for the past few decades and also needs to be a vital tool in the design of future smart and microgrid scenarios. However, the control strategy of Voltage Source Converter (VSC) based HVDC needs to be established for its better operational performance. This paper presents a novel Adaptive Fractional Order PI (AFPI) based controller against the conventional PI controller to enhance the stability with better damping of oscillations. The parameters of the FPI have a critical influence on the performance of the controller and to set it optimally Teaching-Learning based Optimizer (TLBO) is suggested. Detailed modeling and design of LCL filters are presented with frequency domain analysis. Comparative results for the proposed approach are illustrated under different conditions to justify its improved performance and robustness with better stability.
Design and analysis of automatic generation control of two area power system based on modified differential evolution algorithm
2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE), 2020
This manuscript deals with the design and analysis of dynamic performance of Modified Differentia... more This manuscript deals with the design and analysis of dynamic performance of Modified Differential Evolution (MDE) algorithm based, Proportional-Integral-Differential (PID) controller for Automatic Generation Control (AGC) of two area power system. For justifying the proposed approach, reheat thermal system of two area integrated with PID controllers is considered. To obtain an optimum dynamic performance, the problem statement for design is framed as a single problem of optimization to apply MDE and finely tune the controller gain parameters. For the proposed MDE optimization strategy objective function based on the Integral of Time multiplied by Absolute Error (ITAE) is considered in this study. The proposed approach's enhanced performance is justified by showing better results as compared to other stochastic based optimization techniques. Furthermore, to validate the ability of the approach to perform with better stability under wide range of system parameter variation. Finally, the possibility of real time implementation of the proposed approach is supported with results from the load variation studies.
Execution of Adaptive Transverse Filter for Power Quality Improvement
IET Electrical Systems in Transportation, 2021
Considering environmental conditions and reduced fuel availability, electric cars (ECs) play a vi... more Considering environmental conditions and reduced fuel availability, electric cars (ECs) play a vital role in many applications such as consumer cars and short-distance transportation. This paper proposes a detailed dynamic modelling of battery, motor, and inverter developed for the design of an EC. In addition, an improved controller is developed with a different geometrical method using the sensitivity gain of the current sensor and tachometer to assure the optimal performance of the EC. For achieving linear vehicle operation and improved stability, a system transfer function model is designed by considering various uncertainties such as force acting on the car, wheel, road, and wind speed conditions. To offer better regulation and excellent tracking operation of the EC, a combined proportional-integral-derivative controller-based outer-speed and innercurrent control approach is suggested to regulate the nonlinear parameters for different driving profile applications. The proposed designed control approach and system model are tested using two input conditions such as step and driving profile inputs through MATLAB/Simulink software, and performance is analysed through various open-loop and closed-loop test scenarios. 1 | INTRODUCTION Considering environmental conditions and greater awareness about energy conservation, researchers have been paying more attention to the design of zero-polluting electric cars (ECs) of late. Recently, improvements in EC/hybrid-EC modelling have attracted greater interest at an augmented pace [1]. Particularly, lesser-weight ECs are becoming popular for many applications such as patrol and short-distance transportation cars. Many EC modelling techniques have been suggested to offer a longer driving range and linear operation [2]. Generally, EC modelling is designed by considering two subsystems, such as electric motors (EMs) for the drive system with a car platform, as shown in Figure 1. The main components of ECs are battery energy storage (BES) devices, central control structures, a tachometer, and a voltage source converter to convert DC-AC power. A single EM is used to drive each wheel [3]. However, with increasing costs and complex modelling, [4] the EC can lose its attraction for real-time applications. To achieve greater simplicity and easier control action, the DC EM is popularly selected for the traction of ECs [5]. In addition, DC motors also supply high starting torque. Therefore, to develop a robust/light, high-efficiency, reduced-cost EC, it is necessary to derive an appropriate mathematical model of ECs and EMs for different driving profile operations. Simple EC design leads to a simple control strategy that decreases the overall cost of the vehicle. However, the development of the simple EC model is difficult because of uncertainty and non-linearity in the environment and wheel and road conditions [6,7]. Mostly, disturbances are categorised into two types: (1) parametric uncertainty and (2) inner/outer disturbances. The first type of disturbance is caused by a lack of appropriate information regarding EC modelling, friction modelling, and parameter fault conditions, and the second type of disturbance is generated by unidentified effects of existing physical constraints in the environment [8,9]. Therefore, there is a necessity to design improved mathematical modelling of EC by considering possible real-time disturbances. Generally, ECs are known as 'power management' machines [10,11]. Therefore, there is a requirement to design a coordinated control strategy to provide satisfactory driving performance and linear operation by optimally consuming This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Experimental prototyping of synthetic inertial system for the improvement in frequency deflection
IET Generation, Transmission & Distribution, 2020
Trends of incorporating distributed renewable energy sources into the power distribution network ... more Trends of incorporating distributed renewable energy sources into the power distribution network through power electronic mediums have substantially increased. It results in a decaying inertial response and, consequently, the natural damping. Eventually, the distribution network is increasingly becoming sensitive towards the uncertainties. The increasing sensitivity issue in the power system drives the present research trends towards a solution termed virtual synchronous generator (VSG). A VSG has the potentiality to mimic the characteristics of a physical synchronous generator (SG). In this study, to expose the suppressed potentiality of a VSG, an innovative concept of virtual gyratory mass is proposed. To achieve a satisfactory performance, the model parameters of the VSG have to be well chosen. Conventionally, optimal parameters are selected by comparing it with a physical SG and thus, it remains constant in its operational period. However, the constant inertial VSG cannot suppress the system sensitivity under the random degree of uncertainty. Therefore, to ride through this issue, the concept of dynamic damping co-efficient is introduced in this study. The damping coefficient is tuned in real-time through the proposed fuzzy tuned dynamic synthetic inertia mechanism. The improvement in the performance is validated in the real-time experimental prototype setup.
International Journal of Biomedical Engineering and Technology, 2020
Optimal closed loop control of blood glucose (BG) level has been a major focus for the past so ma... more Optimal closed loop control of blood glucose (BG) level has been a major focus for the past so many years to realise an artificial self-regulating insulin device for type-I diabetes mellitus (TIDM) patients. There is urgency for controlled drug delivery system to design with appropriate controller not only to regulate the blood glucose but also for other chronic clinical disorders requiring continuous long-term medication. As a solution to the above problem, a novel optimal self-tuning PI controller is proposed whose gains dynamically vary with respect to the error signal. The controller is verified with a nonlinear model of the diabetic patient under various uncertainties arises in various physiological conditions and wide range of disturbances. A comparative analysis of self-tuning PI controller performance has been done with the sliding mode Gaussian control (SMGC) and other optimal control techniques. Obtained results clearly reveal the better performance of the proposed method to regulate the BG level within the normoglycaemic range (70-120 mg/dl) in terms of accuracy, robustness and handling uncertainties.
IET Energy Systems Integration, 2020
This study deals with the operation of the wind power generation system (WPGS) having active filt... more This study deals with the operation of the wind power generation system (WPGS) having active filter capabilities using the grid-interfacing converter (GIC) control approach. A novel current decomposition technique based on enhanced instantaneous power theory (EIPT) is suggested for controlling the GIC to realise an improved power quality (PQ) in WPGS and to provide the requisite reactive power support. To reduce the sluggish response of the numerical filters, a novel mathematical average algorithm is proposed. Furthermore, to reduce the non-linear load effects at GIC, a 13-level reduced switch multi-level inverter (RSMLI) is integrated. Real-time application point of view in the proposed approach, to improve the GIC performance, a novel indirect current control (ICC) technique-based EIPT approach is proposed. ICC technique is used to decompose the power component into a much more detailed component by which it is easier to cancel out the non-linear components and make the system more flexible and reliable for practical applications. The rotor interfacing converter control approach is used to attain the optimum power. Considering different test conditions, the performance of the proposed EIPT-based 13-level RSMLI approach is investigated through MATLAB/Simulink software.
IET Smart Grid, 2018
The integration of the distributed power generation into a distribution system comes with several... more The integration of the distributed power generation into a distribution system comes with several system problems. One of the teething problems related to system protection is islanding detection. Various anti-islanding techniques based on feature evaluation were proposed in the recent past. However, they overlook the need for justifying the selection of a particular detection feature among all the possible measures. In this study, a wrapper feature selection approach is proposed where a modified multi-objective differential evolution algorithm is coupled with a kernel-based extreme learning machine classifier. To select the optimum features, five standard objective functions have been considered, such as dependability, security, accuracy, F-measure, and the number of features. About 1864 cases have been generated from the designed IEEE 13 bus system to extract the sensitive features. IEEE 1547 standards have been considered while designing and testing the IEEE 13 bus system against islanding. The selected optimal features detect the islanded condition decisively for both synchronous and inverterbased distributed generators. The features also validate their performance under noisy environment accurately with lesser computational time.
Journal of King Saud University - Computer and Information Sciences, 2017
The real world data are complex in nature and addition to that a large number of features add mor... more The real world data are complex in nature and addition to that a large number of features add more value to the complexity. However, the features associated with the data may be redundant and erroneous in nature. To deal with such type of features, feature selection plays a vital role in computational learning. The reduction in the dimensionality of the dataset not only reduces the computational time required for classification but also enhances the classification accuracy by removing the misleading features. This paper presents a Filter Approach using Elitism based Multi-objective Differential Evolution algorithm for feature selection (FAEMODE) and the novelty lies in the objective formulation, where both linear and nonlinear dependency among features have been considered to handle the redundant and unwanted features of a dataset. Finally, the selected feature subsets of 23 benchmark datasets are tested using 10fold cross validation with four well-known classifiers to endorse the result. A comparative analysis of the proposed approach with seven filter approaches and two conventional as well as three metaheuristic based wrapper approaches have been carried out for validation. The result reveals that the proposed approach can be considered as a powerful filter method for feature selection in various fields.
Comparative study of M-FIS FLC and modified P&O MPPT techniques under partial shading and variable load conditions
2015 Annual IEEE India Conference (INDICON), 2015
Most of the conventional tracking techniques fail to track maximum power point under partially sh... more Most of the conventional tracking techniques fail to track maximum power point under partially shaded conditions as the photovoltaic (PV) array characteristic curves exhibit multiple local maxima. This paper put forward an adaptive maximum power point tracking technique (MPPT) for PV array which can perform even in non-uniform irradiance conditions. The proposed method targets on extracting the power of non-shaded PV cells during partial shading condition with the help of forward biased bypass diode across the shaded PV cells. The proposed technique implements Mamdani fuzzy inference system based fuzzy logic to control which is further equipped with DC-DC boost converters. The proposed technique enables the PV array to operate efficiently at variable load and non-uniform irradiance condition. The effectiveness of the proposed MPPT technique is investigated for various partial shaded patterns and variable load conditions and the results are compared with the modified perturb & observe MPPT technique.
Computer, Communication and Electrical Technology, 2017
Computers, Materials & Continua, 2022
This paper presents a combined control and modulation technique to enhance the power quality (PQ)... more This paper presents a combined control and modulation technique to enhance the power quality (PQ) and power reliability (PR) of a hybrid energy system (HES) through a single-phase 11-level cascaded H-bridge inverter (11-CHBI). The controller and inverter specifically regulate the HES and meet the load demand. To track optimum power, a Modified Perturb and Observe (MP&O) technique is used for HES. Ultra-capacitor (UCAP) based energy storage device and a novel current control strategy are proposed to provide additional active power support during both voltage sag and swell conditions. For an improved PQ and PR, a two-way current control strategy such as the main controller (MC) and auxiliary controller (AC) is suggested for the 11-CHBI operation. MC is used to regulate the active current component through the fuzzy controller (FC), and AC is used to regulate the dc-link voltage of CHBI through a neural network-based PI controller (ANN-PI). By tracking the reference signals from MC and AC, a novel hybrid pulse width modulation (HPWM) technique is proposed for the 11-CHBI operation. To justify and analyze the MATLAB/Simulink software-based designed model, the robust controller performance is tested through numerous steady-state and dynamic state case studies.
Energy Conversion and Economics, 2021
This manuscript proposes a novel Solar-shunt active filter (solar-SHAF) controller for improving ... more This manuscript proposes a novel Solar-shunt active filter (solar-SHAF) controller for improving the power flow in a larger power-application. The proposed fault and nonlinear detection unit (FANDU) avails faster disturbance detection. A novel FAND regulator (FANDR) is suggested to disconnect the solar power generation from the considered system within 10-12 s and the total inverter capacity is used for providing reactive power support to compensate the power fluctuation. A solar active power regulator (SAPR) is proposed to restore the active power output of the solar plant in a ramp-wise manner after the successful damping of the power fluctuations. The restoration of rated solar power results offers a faster settling time in comparison to the standard grid code limits. The proposed approach is applicable for light, dark, and partial shading conditions. During the dark period, the total inverter capacity is used to compensate the power fluctuations and in partial shading conditions, the inverter is used to balance the solar power at its rated limit. The overall system is designed and tested through MATLAB software by considering different test conditions. It is analyzed that the suggested approach facilitates a significant improvement in power exchange on a 24/7 basis during the local and inter-area fluctuating mode. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
IETE Journal of Research, 2018
Detection of islanding and fault disturbances in microgrid using wavelet packet transform.
A Novel Islanding Detection Method Based on Wavelet Packet Transform and Extreme Learning Machine
International Journal of Renewable Energy Research
In this manuscript, wavelet packet transform (WPT) with extreme learning machine (ELM) based meth... more In this manuscript, wavelet packet transform (WPT) with extreme learning machine (ELM) based method is proposed for detection of the islanding condition in the distribution system with the presence of multiple distributed generations (DGs). The system consists of different types of DGs like hydro turbine generator with synchronous machine and wind turbine generator with asynchronous machine. Negative sequence component based assessment and analysis of fault conditions is considered in this work. The change of energy components are calculated using WPT at different nodes and considered as feature index for a particular fault condition. Very often occurred practical islanding and non-islanding events like capacitor switching, load rejection, line to line fault, three phase fault, voltage sag and swell etc. are simulated. Based on the feature index, ELM is applied as a classifier to distinguish islanding from non-islanding events. The results are presented with comparison to other classifiers like decision tree, artificial neural network (ANN) and support vector machine (SVM). It has been found that the proposed WPT-ELM technique is highly effective to discriminate islanding events under a wide range of operating conditions from other type of disturbances in the power distribution network. The proposed scheme is fully simulated by the MATLAB/SIMULINK environment.
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Papers by Pravat Kumar Rout