Browsing by Author "Mathur, Hitesh Datt"

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    Ant Colony Optimized Fuzzy Control Solution for Frequency Oscillation Suppression
    (Taylor & Francis, 2017-12) Mathur, Hitesh Datt
    This paper presents a novel approach in addressing a critical power system issue, i.e., automatic generation control (AGC) in a smart grid scenario. It proposes the design and implementation of an optimized fuzzy logic controller (FLC) for AGC of interconnected power network. There are three different sources of power generation considered in the two-area interconnected model of power system network. First area is equipped with a single reheat thermal unit and a superconducting magnetic energy storage (SMES) unit, while another area has a hydro-unit with SMES. A multi-stage optimization strategy for the optimal solution of FLC for tie-line and frequency oscillation suppression is proposed in this paper using an ant colony optimization technique. The optimization of FLC is carried out in four different stages. The first stage is the optimization of range of input and output variables; the second stage is the optimization of membership function; the third and fourth stages are the optimization for rule base and rule weight optimization, respectively. The performance of the proposed controller is also compared with another control approaches to stabilize Ptie-line and Δf oscillations; these are the Ziegler–Nichols-tuned proportional–integral–derivative (PID) controller and genetic algorithm optimized PID controller. A comprehensive analysis of the traditional techniques and proposed techniques is presented on the basis of major dynamic performance parameters, i.e., settling time and peak overshoot.
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    Automatic generation control in multi area interconnected power system by using HVDC links
    (Insitute of Advanced Engineeering and Science, 2012-03) Mathur, Hitesh Datt
    This paper investigates the effects of HVDC link in parallel with HVAC link on automatic generation control (AGC) problem for a multi area power system taking into consideration system parameter variations. A fuzzy logic controller is proposed for four area power system interconnected via parallel HVAC/HVDC transmission link which is also referred as asynchronous tie- lines. The linear model of HVAC/HVDC link is developed and the system responses to sudden load change are studied. The simulation studies are carried out for a four area interconnected thermal power system. Suitable solution for automatic generation control problem of four area electrical power system is obtained by means of improving the dynamic performance of power system under study. Robustness of controller is also checked by varying parameters. Simulation results indicate that the scheme works well. The dynamic analyses have been done with and without HVDC link using fuzzy logic controller in Matlab-Simulink. Further a comparison between the two is presented and it has been shown that the performance of the proposed scheme is superior in terms of overshoot and settling time
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    Automatic Generation Control of Multi Area Interconnected Hydro-Thermal Power System with HVDC Links
    (IAES, 2012) Mathur, Hitesh Datt
    This paper investigates the effects of HVDC link in parallel with HVAC link on automatic generation control (AGC) problem for a multi area power system taking into consideration system parameter v ariations. A fuzzy logic controller is proposed for four area power system i nterconnected via parallel HVAC/HVDC transmission link which is also referred as asynchronous tie- lines. The linear model of HVAC/HVDC link is develope d and the system responses to sudden load change are studied. The si mulation studies are carried out for a four area interconnected thermal power system. Suitable solution for automatic generation control problem o f four area electrical power system is obtained by means of improving the dynamic performance of power system under study. Robustness of controll er is also checked by varying parameters. Simulation results indicate tha t the scheme works well. The dynamic analyses have been done with and withou t HVDC link using fuzzy logic controller in Matlab-Simulink. Further a comparison between the two is presented and it has been shown that the per formance of the proposed scheme is superior in terms of overshoot and settli ng time
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    Chemiresistive urea sensor based on a composite film of Activated charcoal and Zinc Oxide
    (IEEE, 2024) Mishra, Puneet; Gupta, Navneet; Panwar, Jitendra; Mathur, Hitesh Datt
    Detection of nitrogen content in the form of urea is essential as it confirms its fertility for agricultural practices. Herein, a report on a simple microwave decomposition method for the synthesis of hybrid nanomaterial (Zinc Oxide and Activated Charcoal) that shows a maximum sensitivity of ~87% at 100mM urea concentration with response time and recovery time of 6 min and 80 min, respectively. The urea sensing mechanism with pre-adsorbed oxygen ions on the surface of the composite was verified by measuring the change in intensity of CO2 signal upon exposure to urea solution using FTIR. Thus, the composite film acts as a low-cost non-enzymatic chemiresistive urea sensor with good sensitivity and reproducibility.
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    Comparative Dynamic Analysis on Frequency Stabilization for Multi-Area power system in Deregulated Environment
    (IEEE, 2012) Mathur, Hitesh Datt
    This paper attempts to develop a linearized model of load frequency control (LFC) for an interconnected reheat type two-area thermal power system under deregulated environment. A conventional Integral controller is optimized using ISE optimization technique. A comparison between a conventional optimized integral controller and a fuzzy logic based controller is presented and the proposed fuzzy based controller is shown to generate the improved dynamic response following a step load change with combination of poolco and bilateral contracts in deregulated environment. In addition, performance of conventional integral controller and a fuzzy logic based controller is also examined under various changes up to ±30% in system parameters.
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    Comparison of Power Losses for Different Control Strategies of UPQC
    (IEEE, 2020) Mathur, Hitesh Datt; Yadav, Sisir Kumar; Patel, Ashish
    Unified Power Quality Compensator (UPQC) is a combination of Dynamic voltage regulator (DVR) and Dynamic Static Compensator (DSTATCOM) for mitigation of most power quality issues. Since involving two APFs, various control strategies have been proposed to enhance their utilization. Most control strategies can be classified into three categories- UPQC-P, UPQC-Q, and UPQC-S. Existing literature provides enormous details on various merits and demerits of such methods, like reduction in converter VA ratings, voltage injection etc. Still, a detailed study on power losses of such control strategies needs attention. This paper presents a comparison of different control strategies of UPQC of three-phase system such as UPQC-P, UPQC-Q, UPQC-S in terms of their power consumption losses. Losses are estimated using computer simulations performed in MATLAB/Simulink under various operating conditions of UPQC.
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    A Comparison on PSO Optimized PID Controller for Inter-Area Oscillation Control in an Interconnected Power System
    (Springer, 2022-02) Mathur, Hitesh Datt
    This paper emphasizes on the development of control strategy for inter area oscillation suppression for a unified two-area hydro-thermal deregulated power system. A particle swarm optimization (PSO) optimized Proportional Integral Derivative (PID) controller is proposed for automatic generation control (AGC). Further comparison between different variants of PSO are carried out, where 6 different variants have been explored, which are success rate based PSO, evolution speed and aggregation degree factors based PSO, global-local best inertia weight based PSO, distance from global best based PSO, fixed inertia weight based PSO and varying acceleration coefficients based PSO. A comprehensive analysis of these optimization techniques are presented on the basis of major dynamic performance parameters, i.e. settling time and peak overshoot. Successive rate based PSO variant found best among these six variants.
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    A comprehensive analysis of intelligent controllers for load frequency control
    (IEEE, 2006) Mathur, Hitesh Datt
    This paper presents summaries of novel approaches of artificial intelligence (AI) techniques, like fuzzy logic, artificial neural network (ANN), hybrid fuzzy neural network (HFNN), genetic algorithm (GA) for the load frequency control of electrical power system. The limitations of conventional controls such as proportional, integral and derivative are slow and lack of efficiency in handling system nonlinearities. Since high frequency deviation may lead to system collapse, this necessitates an accurate and fast acting controller to maintain the constant nominal system frequency. The intelligent controllers are used for load frequency control for the single area system, multi area interconnected system. The performance of intelligent controllers with the conventional controllers has been thoroughly compared and analyzed
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    Converter Efficiency Improvement of Islanded DC Microgrid with Converter Array
    (Springer, 2020-07) Mathur, Hitesh Datt
    Photovoltaic (PV) solar energy is growing rapidly in energy supplying for residential buildings. Since solar energy directly generates DC power, a DC microgrid is a better choice particularly in islanded mode of operation. The DC–DC converter is the most essential part of DC microgrid, and therefore, overall efficiency of microgrid largely depends upon the converter’s efficiency. The efficiency of converters depends upon the controller along with load conditions. The converter has typically lower efficiency in both the cases of heavy and light load conditions. This paper presents the analysis of converter efficiency improvement of DC microgrid using converter arrays at the place of centralized converters. The data of solar power generation and load demand have been used in the study, and it is found that converter array improves the efficiency by maximum 2.587% than centralized converter architecture.
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    A critical and comparative review of energy management strategies for microgrids
    (Elsevier, 2022-12) Mathur, Hitesh Datt; Mishra, Puneet
    Energy management (EM) can be defined as the process of monitoring, planning, optimizing, and saving energy to obtain an energy-efficient system. A microgrid (MG) is considered a sustainable energy system but due to the uncertain nature of renewable energy resources (RERs) and electrical load, it requires an optimal and efficient energy management system (EMS). It is vital for optimal usage of distributed energy resources (DERs) in a secure and reliable way. This function of EMS is performed by an advanced decision-making approach which is present in it. In recent years, many researchers have focussed on the development of advanced EM strategies for MG to establish a self-sustained MG. Therefore, a comparative study is required to have a 360° view of the domain EM in MGs. In this regard, this article presents a critical and comparative analysis of the EM strategies developed for the MG’s optimal decision-making along with their demand response strategies. The broader classification of EMS based on supervisory control, operating time platform, and an approach for making a decision is discussed along with their limitations and solutions. To manage the dynamic and intermittent nature of RERs and load, different uncertainty handling and modeling approaches are summarized. A systematic review strategy consists of some tasks is adopted by the authors, for example (i) Extraction of research articles related to EM in MG; (ii) Filtering out the important articles to prepare a relevant research article database (iii) Critically analyzing the EM strategy developed in each article. In a broader perspective, this paper presents an up-to-date systematic analysis of EM strategies for MGs developed by various researchers. Finally, some recommendations and future research directions are also suggested. We hope that this article will help the readers to map the conceptual structure of this research field
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    Decentralized Frequency Control for an Isolated Microgrid using Nature Inspired Algorithms
    (IEEE, 2019) Mathur, Hitesh Datt
    This paper focuses on developing a decentralized control scheme for a microgrid (MG) to mitigate varying load perturbations. The proposed microgrid system consists of various independent generation systems, including solar, wind, a diesel engine generator, a fuel cell, a battery energy storage, an aqua electrolyzer, and a flywheel. A proportion-integral control scheme has been deployed for controlling each of the sources independently as all sources have different characteristics. The parameters (Kp and Ki) of each of the controller were tuned by three different nature-inspired algorithms. The advantage of having decentralized controller is to increase reliability and robustness of the system. Even if any controller fails to work, it may be ensured that frequency regulation is achieved by others. The algorithms used for optimizing controller parameters are genetic algorithm (GA), bacterial foraging (BF) and firefly algorithm (FA).
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    A deep learning assisted adaptive nonlinear deloading strategy for wind turbine generator integrated with an interconnected power system for enhanced load frequency control
    (Elsevier, 2023-01) Mathur, Hitesh Datt; Mishra, Puneet
    The existing linear and quadratic deloading strategies with constant deloading factor, fail to effectively handle the nonlinear characteristics of WTGs. This work proposes a novel deep learning assisted adaptive nonlinear deloading (DL-AND) methodology based on a Newtonian interpolated polynomial for WTG integrated with an interconnected power system to provide effective load frequency control (LFC). The key feature of the proposed technique is its ability to adapt the deloading factor in accordance with wind speed to optimize the reserve power margin of the WTG. In this work, a deep learning-based recurrent neural network (RNN) with long short-term memory (LSTM) technique has been proposed for wind speed forecasting, as using a wind speed measurement device is expected to incorporate measurement lag, leading to the deterioration of the deloading operation. The proposed novel DL-AND technique for WTGs is used along with a fractional-order fuzzy-based PID (FFOPID) control structure as a supplementary controller for handling uncertainties in order to provide effective LFC. Further, Exhaustive simulation studies have been carried out to investigate the proposed technique and results show the effectiveness of proposed novel DL-AND strategy with FFOPID in terms WTG reserve power margin, frequency support and performance index for all the considered case studies.
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    Design of a dual-layered tilt fuzzy control structure for interconnected power system integrated with DFIG
    (Wiley, 2021-07) Mathur, Hitesh Datt; Mishra, Puneet
    The doubly fed induction generators based wind power plant is extensively used as a renewable energy source; however, their integration with interconnected power systems may cause equal challenges as well. Since such WPPs are decoupled from the grid frequency to operate at maximum power point tracking, hence they cannot participate in effective load frequency control and cause severe deterioration in the frequency regulation of the nonlinear IPS. To address these issues, this article proposes a novel dual-layered tilt fuzzy control structure (DLTFCS), which comprises of a fuzzy tilt integral derivative with a filter as the first layer working in coherence with a fractional order proportional derivative controller as the second layer, together with an inertial frequency support scheme for WPP. The DLTFCS is developed with an intention of efficient handling of nonlinearity and parametric uncertainty of considered IPS in the presence of WPP. Further, a curated hybrid objective function is also proposed, which consists of a weighted combination of integral of time-weighted absolute error and oscillatory measure with the help of an analytical hierarchy process and is optimized by a recently devised salp swarm algorithm. The control performance of the proposed controller has been validated by extensive simulation studies under various scenarios ranging from system parametric variations, uncertainties in generation rate constraint, and governor deadband to significant variations in wind penetration levels. Extensive comparative studies suggested that the proposed control structure provides superior performance over fractional order proportional integral derivative (FOPID) and Fuzzy FOPID controller.
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    The development and potential of green hydrogen in India
    (IEEE, 2025-02) Mathur, Hitesh Datt
    The search for alternative fuel sources has been driven by the need for a sustainable energy future. Most current forms of energy produce vast amounts of carbon content and release it into the atmosphere. This has led to a global rise in temperature levels and is seen as the immediate threat faced by all humans. In a bid to tackle this, renewable energy and green hydrogen are seen as the leading solutions. As many countries, including India, have set goals for green hydrogen, we have conducted this study to identify what the scenario is in other countries, as well as what the scenario is in India. Our focus is on Green Hydrogen, the Hydrogen Economy, Climate Change, Production of Green Hydrogen, Hydrogen Storage, and Potential of Green Hydrogen in India.
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    Development of a Novel Strategy with Electrical Vehicles to Mitigate Frequency Aberration in Microgrid
    (IEEE, 2018) Mathur, Hitesh Datt
    Power system complexity is growing rapidly with changing scenario of load characteristic. Microgrid is a feasible solution to cater to varying load for maintaining power quality parameters especially frequency and voltage. The microgrid, consisting of different types of intermittent sources and loads, is liable to a substantially high frequency aberration. This needs to be mitigated at a faster rate in order to supply quality power supply to consumers. This paper focuses on development of a novel control strategy for quick active power support by electric vehicles (EV) to suppress frequency deviation caused due to fluctuating load. This approach senses the frequency change and communicates with EV aggregator to supply required amount of active power to microgrid. It is simulated on MATLAB/Simulink platform and results obtained are encouraging in terms of critical parameters i.e. settling time and peak over/undershoot
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    Digital twin of a commercial building microgrid: Economic & Environmental sustainability analysis
    (IEEE, 2022) Mathur, Hitesh Datt
    Digital twin of a commercial building microgrid: Economic & Environmental sustainability analysis - CentraleSupélec Accéder directement au contenu Accéder directement à la navigation Nouvelle interface Toggle navigation HAL Accueil Dépôt Je dépose Questions pratiques Questions juridiques C'est quoi l'OA ? Consultation Consultation par période Consultation par auteurs Consultation par collections Outils Créer son IdHAL et CVHAL
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    Digital Twin of a Single-Phase Home Converter System Integrating Distributed Energy Resources
    (IEEE, 2024-02) Patel, Ashish; Yadav, Sisir Kumar; Mathur, Hitesh Datt
    A digital twin (DT) is a digital representation of a physical entity or process that closely emulates the behavior of its real counterpart and is strongly connected to the real entity through data exchange links. DT technology is widely applied to various areas like smart cities, industrial automation, equipment design, manufacturing, and the automotive industry. Such applications are intended for improved design, operation, control, and maintenance of the real entity whose digital twin is prepared. Power Electronics applications heavily rely on digital electronics to model, simulate, and control the power converters. Such applications can immensely benefit from DT technology, but such applications in power converters are nascent. This paper presents a digital twin of a single-phase home inverter connected to a battery, AC load, and the grid. The inverter supplies power to the connected load in two modes- battery mode and grid mode. The digital twin of the inverter, implemented in Opal-RT, emulates the actual behavior of the hardware counterpart in both modes.
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    Digital twin simulation and comparative study to understand the microgrid operation and control
    (IEEE, 2025-01) Mathur, Hitesh Datt; Gautam, Aditya R.
    Solar photovoltaic (PV) microgrid (MG) systems are the future of the growing electrical industry. However, these systems have a dependency on the environment. To mitigate this dependency, better control and technologies are required. The digital twin (DT) technology can be utilized to make these MGs more sustainable and promising. In this paper, the DT of the installed MG has been developed on the Simulink platform. The irradiance data, and load power consumption data have been used as input for the DT of the MG. Moreover, it is found that the DT of the MG is working stably with the given data. On the output side, the grid power data of the physical MG has been compared with the output grid power of DT. Further, it has been found that the solar power generation, load power consumption data, and grid power data have matched the results of the physical MG.
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