Surya Prakash

Thapar University · Department of Electrical & Instrumentation Engineering

The complexity and interconnection of smart cities provide huge political, technical, and socioeconomic challenges for the designers, integrators, and organisations who are responsible for the administration of these new entities. A growing number of studies are concentrating their attention on the safety, privacy, and potential dangers that exist...

Current power system has taken a paradigm shift from the conventional structure to the hybrid consisting of thermal and renewable energy sources (RESs), such as hydro, tidal, geothermal, etc. power generating units. However, RESs are intermittent and extremely unpredictable, thus may cause huge frequency deviations. For the smooth operation of the...

Assessment of precise solar photovoltaic (PV) modelling parameters through experimental current-voltage (I-V) data or by using the manufacturer’s datasheet, is a matter of strong research interest among researchers. Where, the challenge rests in precise evaluation, control, and creation of a more reliable PV model with well optimised parameters. Ph...

In a smart city, energy usage for sustaining indoor environmental quality (IEQ) and occupant comfort levels frequently clash. This research aims to design a novel approach to solve the conflict between the use of power and the comfort of the citizens. A multi‐purpose problem for minimum consumption of energy as well as maximum occupant's ease withi...

Mathematical modeling of solar photovoltaic (PV) cell/module or array is to assess its unknown modeling parameters with the experimental current–voltage (I–V) characteristic or from the manufacturer's datasheet, where exploitation of implicit and precise solution is a stern concern among researchers for the designing of an optimized solar PV system...

The estimation of mathematical model parameters of solar photovoltaic (PV) establishes as one of the most prominent problems highlighted in recent researches. Various techniques in the literature employ experimental data and information from the manufacturer’s datasheet for the solution, where precise and highly consistent solution identification i...

Regulating the frequency fluctuations (known as load frequency control) in the power system is an important aspect that directly signifies the balance between the generation and demand. The present study proposes an optimal LFC scheme encapsulating the concept of fractional-order based tilted-integral-derivative (TID) controller having optimized pa...

Mathematical model parameter estimation of solar photovoltaic (PV) cell, module and array represent a prodigious challenge in recent researches, where analytical, metaheuristic and hybrid techniques play a vital role for parameter extraction by using manufacturer's datasheet and experimental data, although the precise and highly reliable solution i...

To preserve frequency and tie-line power flow within a tolerable range in modern intricate and renewable energy sources (RES) integrated power system, an intelligent, expert, and robust load frequency control (LFC) scheme is requisite. This paper proposes a new load frequency control (LFC) approach using a dual-stage controller composed of fraction...

The increasing integration of regional power grids, rising penetration of multi‐generation sources, and day‐ahead power agreements have raised the operational challenges on deregulated modern electric energy systems. Among various challenges, frequency regulation becomes more prominent in the restructured power system (RPS) due to increased uncerta...

Due to the rapid increase in electrical energy requirements in marine power systems (MPSs), and to reduce the consumption of fossil fuel, there is an emergent need to utilise renewable energy sources (RESs) in MPSs, which has been an attractive field of research. This research aims to present a novel load frequency control (LFC) scheme for a shipbo...

The uncertain demeanour from wind generators and loads adversely affect the grid operational stability. Various control approaches have been explored to remedy the system uncertainties while maintaining generation and load demand balance. This study proposes a fuzzy-based proportional–fractional integral–derivative with filter controller to sustain...

Most of the electrical energy consumption occurs in residential buildings in maintaining the desired comfort level for occupants. Since comfort level and energy consumption are conflicting in nature, there is a need for energy-efficient building management and information system. In this article, Artificial Intelligence (AI) based building manageme...

Energy-efficient and sustainable buildings have become a specialized research theme for energy planning and the green building industry. Rapidly increased energy consumption in the residential area has attracted researchers' attention to minimize energy consumption without affecting occupant comfort. Accordingly, an effective energy management syst...

The energy consumption in the residential sector has been increased steadily and occupied approximately 30–40% of overall energy consumption. Recent researches on energy consumption have highlighted the significance of residential building energy consumption forecast for enhanced decision‐making in terms of an energy conservation plan. Therefore, i...

In this review paper we have discussed the existing state-of-the-art practices of improved intelligent features, controlling parameters and Internet of things (IoT) infrastructure required for smart building. The main focus is on sensing, controlling the IoT infrastructure which enables the cloud clients to use a virtual sensing infrastructure usin...

Load frequency control (LFC) plays an essential role in a power system (PS) to sustain the grid frequency for the period of sudden load demand variations. Hence, this manuscript deals with the execution of adaptive neuro fuzzy inference system (ANFIS) approach for LFC of three-area unequal thermal power system. The ANFIS controller proposed in the...

Flexible alternating current transmission system devices and energy storage devices have great potential to support frequency regulation in power system. Hence, the impact of interline power flow controller unit and redox flow battery unit in the load frequency control (LFC) of six-area power system having different power plant units has been inves...

This paper reveals the impact of an ultra-capacitor (UC) and thyristor control phase shifter (TCPS) on frequency stability of large hybrid interconnected power system. The impact of UC and TCPS has been studied for general purpose hybrid generated multi areas power system. Further to this, an adaptive neuro fuzzy inference system (ANFIS) is is prop...

Moisture content is an important feature of fruits and vegetables. As 80% of apple content is water, so decreasing the moisture content will degrade the quality of apples (Golden Delicious). The computational and texture features of the apples were extracted from optical coherence tomography (OCT) images. A support vector machine with a Gaussian ke...

This paper elaborates the existence of numerous equivalent circuits for the modelling of solar PV array. Various models elucidated in literature has been identified and on the basis of easiness and robustness single diode Rp (shunt resistance) model is recommended for the PV array analysis among, single diode Rs (series resistance), two-diode Rp, s...

For the power system stability enhancement, designing and performance analysis of the Flexible AC Transmission System devices has been presented in this paper for an 11kv system. Devices like Thyristor Controlled Series Capacitor, Fixed Capacitor Thyristor Controlled Reactor and Static Synchronous Compensator are designed for the purpose of system...

A smart city (SC) is a modernized urban community, which incorporates information and communication technology (ICT) into the existing physical infrastructure. It offers reliable and uninterrupted services such as-intelligent transport and energy conservation to its residents. Among the various services offered, a continuous and widespread supply o...

This manuscript deals with the implementation of adaptive neuro-fuzzy inference system (ANFIS) approach to automatic load frequency control (ALFC) of six unequal areas’ multi-generation hybrid interconnected power system. ANFIS controller has the advantages of fuzzy as well as neural network and stands for adaptive neuro-fuzzy inference system. Are...

— Detonation of a nuclear weapon at high altitude, produces high magnitude Electromagnetic Pulse (EMP which will cover the extensive geographic region within the line of sight of detonation. This high magnitude EMP when interact with sensitive electronics network, has the competence to produce extensive and long eternal disruption and destruction t...

The present manuscript deals with the implementation of adaptive neuro-fuzzy inference system (ANFIS) approach to automatic generation control (AGC) of six unequal areas multi generation hybrid interconnected power system. The proposed ANFIS controller is the hybrid neuro-fuzzy approach and it has the advantages of fuzzy and artificial neural netwo...

Smart Grid (SG) is envisioned to become one of the leading technologies of the modern era by imparting information, and communication technology to the traditional electric grid. The power, and energy sector faces challenges to meet the continuously increasing demand of power. However, this is constrained by the limited fuel resources, as well as t...

Publication details, including instructions for authors and subscription information: ABSTRACT In this paper, artificial neural network (ANN) and fuzzy-based adaptive neuro-fuzzy inference system (ANFIS) approach to automatic generation control of three unequal area hydro-thermal power systems has been introduced. The proposed ANFIS controller comb...

In this research work, two areas hydro-thermal power system connected through tie-lines is considered. The perturbation of frequencies at the areas and resulting tie line power flows arise due to unpredictable load variations that cause mismatch between the generated and demanded powers. Due to rising and falling power demand, the real and reactive...

We will presents in this paper the design and analysis of multi type of controllers (PI, FUZZY, NEURO-FUZZY controller based on Adaptive Neuro-Fuzzy Inference System (ANFIS)), and implement fuzzy controller practically by using programmable logic control (PLC) via OPC server for Load frequency control of an hybrid system, this hybrid system consist...

This article presents a novel control approach, hybrid neuro-fuzzy (HNF), for the load frequency control (LFC) of a four-area interconnected power system. The advantage of this controller is that it can handle nonlinearities, and at the same time, it is faster than other existing controllers. The effectiveness of the proposed controller in increasi...

This paper presents a framework to carry out a simulation of Simulink model of dc drive system to optimize the controller gains for known inputs. The objective is to find the optimal controller gain (proportional and integral) in a closed loop system with parameter uncertainty. The optimization results have been obtained by three algorithms. These...

The proposed control strategy has been introduced in order to enhance some steady-state performances besides its functional elimination of power quality disturbances. Power factor and harmonic current of a controlled feeder section are two vital roles in steady-state power distribution system operation. Utilizing an already installed D-STATCOM to a...

In this paper we have designed a remote power control based on both an embedded board and on ZigBee communication. This design consists of two parts that regard as the essential two Control parts, the ZigBee control module and the server module. Where, The main objective of this article is show the control of electro-electronics devices using a PC...

Economic load dispatch (ELD) problem is one of the most important in power system operation and planning. So Many models by using different techniques have been used to solve these problems. The main objective of the ELD problems is to determine the optimal combination of power outputs of all generating units so as to meet the required demand at mi...

This paper present analysis on dynamic performance of Load Frequency Control (LFC) of three area interconnected hydrothermal reheat power system by the use of Artificial Intelligent and PI Controller. In the proposed scheme, control methodology developed using conventional PI controller, Artificial Neural Network (ANN) and Fuzzy Logic controller (F...

This paper deals with a novel approach of artificial intelligence (AI) technique called Hybrid Neuro-Fuzzy (HNF) approach for Load Frequency Control (LFC) of four area hydrothermal interconnected power system. The advantage of this controller is that it can handle the non-linearities at the same time it is faster than other conventional controllers...

This paper present the Load Frequency Control (LFC) of four area hydrothermal interconnected power system by using Artificial Neural Network (ANN) and conventional PI control approach. Area-1 and area-2 consists of thermal reheat power plant whereas area-3 and area-4 consists of hydro power plant. To enhance the performance of PI and Neural control...

This paper present the application of Artificial Intelligence in Load Frequency Control (LFC) of three area hydrothermal interconnected power system. In the proposed scheme, control methodology developed using Artificial Neural Network (ANN) and Fuzzy Logic controller (FLC) for three area interconnected hydro-thermal reheat power system. In this pa...

This paper presents the use of artificial intelligence to study the load frequency control of interconnected power system. In the proposed scheme, a control methodology is developed using Artificial Neural Network (ANN) and Fuzzy Logic controller (FLC) for interconnected hydro-thermal power system. The control strategies guarantees that the steady...

An Intelligent PI Controller has been developed for speed control of separately excited D.C. Motor by exploiting the features of Artificial Neural Networks (ANN). The aim of the proposed schemes is to improve tracking performance of separately excited D.C. motor as compared to the conventional (PI) control strategy. Performance of these new control...

The interconnected two area systems are modeled and simulated by integration of Fuzzy controller with sliding gain for improved performance specifications like settling time and peak overshoot over the conventional PI controller. The paper investigates the impact of addition of slider gain with fuzzy logic controller for load frequency control of i...