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In this paper, a new variable step size least mean square adaptive filter-based control algorithm is proposed to generate reference current for voltage source converter of a grid-integrated PV system. The proposed control generates reference current by extracting the fundamental active and reactive component from load current with fast convergence. The proposed control offers better initial transients and dynamic performance than conventional LMS and synchronous reference frame-based control. Grid-integrated PV system is modelled in MATLAB/Simulink and is tested on different loading condition viz. nonlinear load, unbalanced load and variable load. Further, to validate the efficacy of the proposed control, it is also tested in real time on prototype hardware in the laboratory. It has been observed that proposed control provides compensation of harmonic and reactive power of the local load. Distortion at grid side of the system is within the limits as per IEEE-519 standard.

In this paper, solar photovoltaic (SPV)-based microgrid has been connected to grid. Modified synchronous reference frame control of PV inverter has been proposed to estimate reference current for power quality improvement. Conventionally, DC link voltage of the PV inverter is regulated using proportional integral (PI) controller, which suffers from undershoot/overshoot and long settling time during load variation. Intelligent control technique can be the better solution with more accuracy and fast dynamic response. In the present work, interval type-2 (IT-2)-based fuzzy logic controller (FLC) has been proposed to control inverter’s DC link voltage. Performance of the grid-connected SPV system is analyzed using proposed IT-2 FLC and compared with conventional PI as well as type-1 FLC. It compensates the harmonics of the nonlinear load and maintains the grid at unity power factor by supplying the reactive demand of the load. Total harmonic distortion at grid side of the system is within the limits as per IEEE-519 standard. To test the efficacy of the proposed IT-2 FLC for grid-connected SPV system MATLAB software2016(a) has been used.

With the increased penetration of photovoltaic (PV) based distributed generation (DG), power quality (PQ) at the point of common coupling (PCC) becomes a major concern mainly due to harmonics. Harmonics, generated by nonlinear loads in the system, are multiples of fundamental frequency. This paper presents the comparative analysis and discussion of various control techniques for VSC of a grid connected PV based micro grid to mitigate the harmonics. The mitigation of harmonics is achieved using control techniques viz. conventional and adaptive of reference generation. Simulation of the developed model is carried out on MATLAB/Simulink. Performance of the system is evaluated under IEEE-519 standard.

This paper consists of an analysis of technical and economical aspects of the installation of piezoelectric pads on the railway tracks. The lead zirconate titanate (PZT) has been used as piezoelectric material in this paper. For harvesting electrical energy, the two types of piezoelectric energy harvesting system, namely compression-type piezoelectric harvester and cantilever-type piezoelectric harvester are considered. The technical analysis included the sensitivity analysis of the energy produced by both types of piezoelectric system. The physical dimensions, frequency of vibrations, and amount of charge produced are the basic parameters of the piezoelectric energy harvesting system. Further, to get an idea about the economic aspect of the project, the cost analysis of single units of both the system has also been done. It has been observed that compression-type piezoelectric harvester is technically and economically superior to cantilever-type energy harvesting system in terms of electrical power generation for railway tracks.

In the present paper, authors have developed stand-alone solar photovoltaic (PV) system tied with battery energy storage system (BESS). The system continuously supplies power to the load by the inclusion of another source that is battery energy storage system. Perturb & Observe (P&O) has been used for tracking the maximum power of PV array. PV system supplies power to the load and is also used to charge the battery. In case PV is not able to supply the load power then deficit power will be supplied by BESS as well as DC link voltage has been maintained. The PV system connected to battery energy storage system for commercial applications has been modelled using MATLAB/Simulink. Test results has taken for variable irradiation and load demand, voltage across dc-link are shown are verified through simulation model.

Railway electric traction is a dynamic system. The position of the locomotive load is varying continuously along the railway electric traction line. This leads to dynamic voltage and current profile of the traction system. The main aim of this paper is to study the effect of variation of locomotive position and fault positions along the traction lines on the voltage and current values under normal and short conditions. MATLAB Simulink environment is used to evaluate the voltage and current values.

The conventional maximum power point tracking (MPPT) algorithm shows best performance under uniform insolation but when photovoltaic (PV) array is partially irradiated, the Power vs Voltage (P–V) plot consists of multiple local maxima power point (LMPP) and one global maxima power point (GMPP). The conventional MPPT algorithm may track local peak and fluctuate around it, resulting in lower power tracking. To eradicate this drawback of conventional algorithm, the solar PV system requires the synthesis of modified controller which is able to discriminate between local and global peak point. Along with implementing modified MPPT controller, to minimise the adverse effect of partial shading on PV system, different PV array arrangements like series-parallel (SP), honey comb (HC), total cross tied (TCT) etc. may be used. Author(s) in the present study, has proposed asymmetrical interval type-2 fuzzy logic control (IT-2 AFLC) based MPP algorithm for tracking global peak in partial shading condition (PSC) with different PV array arrangements. The presented algorithm has been compared with other approaches viz. perturb & observe (P&O) and type-1(T-1) FLC for GMPP tracking, fill factor, shading losses, mismatch loss and efficiency to establish its superiority. For evaluating the efficiency of different algorithms, the EN50530 MPPT efficiency test has been performed under dynamic condition. The proposed algorithm has been developed under MATLAB/Simulink environment.

With the increase in grid connected PV based generation, degradation of power quality at the point of common coupling (PCC) has become a serious issue both for electric power utilities and consumers. Improvement in power quality is achieved through power factor correction, reactive power compensation and harmonic mitigation using different control techniques. This paper presents the performance analysis of grid integrated PV and addresses the power quality issues using synchronous reference frame (SRF) and instantaneous reactive power theory (IRPT) technique for inverter control. A 10 kW grid integrated photovoltaic system has been developed. Simulation of developed model is carried out on MATLAB/Simulink.

Partial shading conditions (PSCs) in Photovoltaic (PV) system is an inevasible situation which curtails the PV array output by exhibiting multiple peaks in its Power-Voltage (P-V) curve. The multiple peaks consist of a single global maximum power point (GMPP) and many local maximum power points (LMPP). The presence of multiple peaks makes tracking of maximum power point more difficult and demands an efficient controller to track the global peak of the P-V curve. In the present work, a novel intelligent asymmetrical Fuzzy Logic Control (AFLC) based maximum power point tracking (MPPT) algorithm has been proposed for tracking GMPP. The fuzzy membership functions of the proposed algorithm have been optimized using a heuristic approach. The algorithm has been designed, developed and analyzed using MATLAB/Simulink. Furthermore, to establish the superiority of proposed AFLC algorithm, it has been compared with conventional perturb & observe (P&O) algorithm and intelligent Fuzzy Logic Control (FLC) based algorithm for GMPP tracking and shading losses under standard test condition (STC) and partially shaded conditions.

LED is a light emitting semiconductor device which is nowadays, swiftly replacing conventional lighting system, owing to its high intensity and low energy consumption. In order to understand the operating characteristics of LED, its modeling is required. The very basic modeling of LED can be done by considering it as a resistor. But this has some serious limitations as the non linear I-V characteristics of the LED cannot be modeled using a resistor. To model the non linear IV characteristics of LED, some advanced modeling techniques viz. Piecewise Linear Approximation and Maclaurin series expansion based modeling have been taken up in this paper. Finally, the I-V curves are plotted and compared using MATLAB, implementing both the techniques.

SPV based LED Streetlight has advantages over other conventional lighting systems as no power conversion is needed. LED work on DC and energy optimization is possible by controlling the duty cycle of the LED driver. The components of Solar Fed LED Street lighting system are SPV array, MPPT, dc-dc converter and battery unit. In this paper, the intensity of solar fed Street light is controlled from traffic hours to non-traffic hours which results in saving the electricity consumption. A hybrid street light model is also designed and developed. The simulation studies are performed in Matlab-Simulink environment.

In this paper Perturbation and observe algorithm of MPPT tracking is presented and hardware of SPV system has been designed. Theoretical and design analysis of hardware is described in detail. The MPPT algorithm is written in Arduino IDE and implemented in Arduino UNO R3. MATLAB/Simulink has been used to simulate the SPV system, to demonstrate the performance of MPPT controller and to compare the hardware results.

An optimum lighting design ensures sharp visibility and comfort by considering the light conditions. Further, for optimum utilization of electrical energy, proper care should be taken to avoid overestimation of required illuminance levels. In this paper techno-economic analysis of different lighting schemes viz incandescent lamp, CFL, LED lamp has been done. Further, an efficient arrangement of luminaries for a laboratory is designed in DIALux software.

Maximum Power Point Tracking (MPPT) is required to track maximum power of a Solar Photovoltaic energy conversion system. The performance of Photovoltaic (PV) Array declines during Partially Shaded Conditions (PSC), they exhibit multiple Local Maximum Power Points (LMPP's) along with Global Maximum Power Point (GMPP) in its power-voltage (P-V) and current-voltage (I-V) characteristics. In this paper, Fuzzy Logic Controller (FLC) based intelligent MPPT algorithm has been presented to track GMPP under partially shaded condition and varying irradiation level. The performance of FLC based intelligent MPPT is compared with conventional Perturb and Observe (P&O) under these conditions. The PV Array model equipped with the MPPT controller was designed and simulated in MATLAB/Simulink. MATLAB/Simulation results show aggrandized PV array's extracted output power under non-uniform irradiation due to partial shading. Also, the Fuzzy Logic Controller can track MPP in a shorter time with less oscillation.

With the expansion of the Internet and World Wide Web (or the Web), research environments have changed dramatically. As a result, the need to be able to efficiently and securely access information and resources from remote computer systems is becoming even more critical. This paper describes the development of an extendable integrated Web-accessible simulation environment for computational science and engineering called Computational Science and Engineering Online (CSE-Online; http://cse-online.net). CSE-Online is based on a unique client-server software architecture that can distribute the workload between the client and server computers in such a way as to minimize the communication between the client and server, thus making the environment less-sensitive to network instability. Furthermore, the new software architecture allows the user to access data and resources on one or more remote servers as well as on the computing grid while having the full capability of the Web-services collaborative environment. It can be accessed anytime and anywhere from a Web browser connected to the network by either a wired or wireless connection. It has different modes of operations to support different working environments and styles. CSE-Online is evolving into middleware that can provide a framework for accessing and managing remote data and resources including the computing grid for any domain, not necessarily just within computational science and engineering.

The polyphase induction motor has been the motor of choice for electric traction drive. This paper presents the comparison of performance analysis between direct torque control (DTC) and field oriented control (FOC) of induction motor drive for high rating motor. These two approaches belong to family of vector control and offer solutions to high performance drives. In this paper author(s) implemented DTC and FOC utilizing MATLAB/ SIMULINK to simulate dynamics of induction motor to generate results for evaluation. The apparent comparison of these two vector control methods is shown with simulation results.

Energy consumption in commercial buildings is tremendous, resulting in significant monetary cost and waste of natural resources. Designing a low-cost system that serves the goal of saving energy while not forcing people to compromise their personal comfort is important for future smart commercial buildings. Proactive energy saving actions from users in the buildings are the key to achieving this goal. In this paper, we present Mahalo, an energy saving system, which leverages users through social gaming. By incentivizing energy saving actions from end users with a sensing-based feedback control system, the system reduces installation needs and improves understanding of the users preferences.