Dogga Raveendhra

The practicability of ICA in home appliances load profile separation using current signature: A preliminary study

The identification of appliances has its unique application in detecting fraudulent electricity consumption; this is an important feature for smart meter. The current signature of signal individual and composite appliances has a possible feature set to separate an individual load from the current signature of composite load. We exploited the source signal separation feature of Independent Component Analysis (ICA) to observe the feasibility of ICA in separating an individual load profile from its composite current waveform. The results suggest that, for most of the electrical loads(used for experiment) ICA has been successful to extract the individual waveform from its composite load current signature with more than cross correlation value of 0.75, between the experimental current signature and ICA extracted current signature. The research work proposes a direction to use ICA as an intermediate step to develop a device identification classifier.

Operation and control of a hybrid wind-diesel-battery energy system connected to micro-grid

This paper presents modeling and control of a hybrid Wind Power, Diesel-Engine Generator (DEG) - Battery energy storage system (BESS) system connected to an electric Micro grid. A case study on the impact of BESS operations on the frequency stability of electric grid has been carried out. The limits on state of charge (SOC) due to limited storage capacity have also been incorporated. The modeling of wind power is also presented and analyzed for a time period of 24-hours with varying wind velocity. Simulation results indicate that BESS system can contribute to frequency stability in both cases when the load increases and also when the load drops. This feature of BESS system will be helpful if it is operated along with a hybrid Wind-PV System.

Assessment of induction motor performance under supply voltage unbalance: A review

Voltage unbalance crafts various ailing consequences on three phase induction motor (IM). In this paper, various existing methods for the assessment of the performance induction motor under the supply voltage unbalance have been critically reviewed to highlight their shortfalls. It has been revealed that, none of the existing methods are found proficient in the assessment of the performance of IM under the condition of supply voltage unbalanced. Further, various mitigation techniques, to reduced the cost of downtime associated with voltage unbalance, have been also discussed and it has been found that most of mitigation techniques are tentative approaches of several researchers which do not gain that much popularity, but fast-acting power electronic circuits like Static VAR Compensators (SVC) and active line conditioners are some of the incredible efforts which shows significant results.

Design of FPGA based open circuit voltage MPPT charge controller for solar PV system

The main objective of this paper is implementation of open circuit voltage MPPT controller for solar PV System based on FPGA. MPPT controllers are plays a major role in solar PV system due to its advantage like increases efficiency by tracking maximum power from the panel under all conditions. Among all other existing methods open circuit method is one of the simplest method to draw maximum power. In case of fractional voltage type MMPT utilizes the concept of solar module voltage at maximum power condition is follows the linear relation with open circuit voltage under different temperature and insulation conditions. In this paper, mathematical modeling of solar module and design of DC-DC converter and small signal analysis of charge controller are presented.

Performance and control system design for FPGA based CVMPPT boost converter for remote SPV water pumping system applications

Solar energy is a renewable and a vast source of primary energy to electricity. PV module is increasingly employed in utilizing the suns energy for generating electrical energy. The photovoltaic pumping has become one of the most promising fields in photovoltaic applications especially in remote locations. As the output characteristic of a photovoltaic module is nonlinear and changes with solar irradiation and cells temperature so attention is paid to their design and their optimal use. Therefore a Maximum Power Point Tracking (MPPT) technique is needed to maximize the produced energy. In this paper, the proposed work is to extract maximum power from the PV array to powered water pumping system. Boost converter with Constant voltage MPPT (CVMPPT) technique is employed to drive centrifugal pump through permanent magnet DC motor. The 1KWp solar PV array is designed and modeled in MATLAB Simulink environment. CVMPPT is implemented in Xilinx system generator which is interfaced with MATLAB Simulink to control the DC-DC boost converter model in order to extract power to drive PMDC motor. The detailed study is carried out and the results are presented.

Stability analysis of FPGA based perturb and observe method MPPT charge controller for solar PV system

In recent years, renewable energy sources have become most popular day by day to generate electrical energy. Among all other types of renewable energy sources, solar is one of the best alternatives for conventional sources as it offers more advantages. This paper is mainly concentrated on the area of charge controller in solar PV power conditioning system. In this paper, a P&O method MPPT charge controller is designed and it is converted into digital domain to use in FPGA. Compared to analog controllers, digital controller offers more advantages like high accuracy, less effected by noise etc., MPPT charge controller is designed to perform 1) to convert the variable DC electrical energy which is coming from solar into fixed DC and 2) to track the maximum power from the solar PV module under all operating conditions. This fixed DC can be used to feed the DC loads or charge the batteries.

Simulation based analysis of FPGA controlled Cascaded H-Bridge Multilevel inverter fed solar PV system

Nowadays solar PV power systems draw more focus among all other types of renewable energy sources for the alternative way to generation of power by using conventional energy sources. Basically power which is coming from solar is of variable DC nature, it require converter to get AC. The Multilevel Inverters are used to convert DC to AC, as it provides high power quality with low output harmonics and lower commutation losses. For solar PV system the cascaded H-bridge MLI is popularly used. In this paper it is proposed the cascaded H-bridge MLI with sinusoidal PWM technique to control the switches.

Transformer less FPGA Controlled 2-Stage isolated grid connected PV system

In this proposed study, Transformerless FPGA Controlled 2-Stage PV System is proposed for 3-phase electrical power generation. In this present scheme, to get AC power, power conditioning has been proposed in two stages; namely in first stage maximum power will be extracted and in second stage DC power will be converted into AC power. In this research paper conversion topology has been proposed for transformer less PV system and verified its results in MATLAB Simulink which is interfaced with Xilinx system generator. To extract optimum DC power from solar PV modules MPPT charge controller is designed. In this study, constant voltage MPPT charge controller is designed based on small signal analysis of converter with PM=57° and GM=14.7dB. After this charge controller output fed to Multi level inverter for the conversion of dc to ac. Proposed multilevel inverter is offering very low line voltage THDs compared with conventional inverter and observed that they are very low, hence required less size and cost of the filter.

FPGA based 2-stage power conditioning system for PV power generation

Presently most of the countries are looking towards the renewable energy systems like solar PV systems to overcome the drawbacks of conventional energy systems. This paper mainly deals with the power conditioning system controlled with FPGA for solar PV fed systems. A power conditioning system is proposed here for PV System comprising of 2 stage power conversion using FPGA. The first stage converts the variable DC voltage obtained from solar PV module/array into fixed DC using Boost converter which operates in voltage mode control technique. In the second stage of power conversion, the output of the first stage is fed to 3-phase, 3-level Diode clamped Inverter and the same is controlled by level shifted Sinusoidal pulse width modulation technique to convert fixed DC into 3 phase AC to drive 3 phase AC loads effectively.

Design and small signal analysis of solar PV fed FPGA based Closed Loop control Bi-Directional DC-DC converter

This paper describes the development of Bi-Directional DC-DC converter (BDC) for solar application for charging and discharging the battery based on availability of supply. BDC can operated in two modes i.e., if supply is available at solar PV side BDC acts as boost converter otherwise acts as buck mode. During day time when sunlight is available, BDC acts as a Buck Converter for charging the battery. During night time, when sunlight is not available BDC acts as a Boost converter to provide supply to the load from the battery. Small signal analysis is used to design BDC operating in both modes in Matlab. Transfer functions of BDC in both modes are derived using the aforementioned analysis. Bode plots of the plant transfer function (buck & boost) were plotted to judge the stability of BDC. Controllers (type-3—boost, PID—buck) for both modes are designed by using small signal analysis. These controllers are designed in FPGA to generate PWM signals for controlling the switches in BDC.