Yogesh K. Chauhan

Hybrid PV/FC stand alone green power generation: A perspective for Indian rural telecommunication systems

The objective of this paper is to conceptualize and explore the renewable energy utilization in Indian rural telecom areas and development of hybrid PV/FC green power generation for various telecommunication systems e.g. base transceiver station (BTS) at telecom sites, local data transmission system, power backup for mobile charging/other appliances. The cost of the grid power generation is so high, moreover transmission as well as maintenance of grid power in remote areas is also a challenging job. The average per day grid power availability by region in India is presented. Over all fuel consumption and cost analysis of conventional and non-conventional energy is discussing in this paper. The photovoltaic (PV) system is considered as main power generating source for supplying the telecommunication equipments and FC is considered as secondary source. The operating parameters of various types of fuel cells are presented, in which proton exchange membrane fuel cell (PEMFC) is considered for power backup supply in place of energy storage system (ESS) due to its high power density in telecom applications. The modeling and analysis of PV and PEMFC based systems have been done using MATLAB Simulink environment.

Fuzzy logic controlled MPPT assisted PV-FC power generation for motor driven water pumping system

This paper presents a hybrid Photovoltaic/Fuel cell (PV/FC) power generation system using renewable energy (RE) sources e.g. solar photovoltaic (PV) system and proton exchange membrane fuel cell (PEMFC). Generated electrical power is utilized for water pumping system used in agriculture applications. In this paper, a PV system is considered as main power generating source and FC is considered as secondary source for supplying the induction motor driven water pumping system. The design and implementation of a fuzzy logic based maximum power point tracker (MPPT) to extract the maximum power point (MPP) of PV system is also proposed. The modeling and analysis of PV and PEMFC based systems have been done using MATLAB Simulink.

A comparative study of maximum power point tracking methods for a photovoltaic-based water pumping system

In this paper the performance of the proposed fuzzy-based maximum power point tracking (MPPT) is investigated and compared with incremental conductance and constant voltage controller for a photovoltaic (PV) pumping system. A fuzzy logic controller with a mamdani inference engine using only nine rules is designed to track the optimum power point. An induction motor has been used to drive the centrifugal pump. The system performance is analysed for different weather conditions. A detailed comparative study presenting the merits and demerits of each technique is also presented in order to develop a relative relationship. Simulation results obtained indicate better performance of the fuzzy-based MPPT algorithm for the PV pumping system.

Utilization of Energy Sources in Hybrid PV/FC Power Assisted Water Pumping System

In this paper, the mathematical analysis of solar photovoltaic (PV) system and proton exchange membrane fuel cell (PEMFC) system is presented. The renewable energy (RE) sources e.g. PV system and PEMFC are integrated for hybrid PV/FC power generation. The PV system is considered as primary electrical power generating RE source, and the PEMFC is utilized as power backup source in unfavorable environmental conditions of PV system. Furthermore, in cloudy days, the solar PV system is not capable to generate sufficient power to the load applications due to this a PEMFC can be utilized for power generation. For transient analysis of this hybrid PV/FC power generating system, a water pump load is considered. A Fuzzy logic based maximum power point tracking (MPPT) technique is proposed to achieve maximum power point (MPP) through the PV system. A three phase induction motor (IM) is taken for water pumping system (WPS) application and the complete proposed system is designed in MATLAB/Simulink environment.

PI/FL based blade pitch angle control for wind turbine used in wind energy conversion system

A blade pitch angle control in Wind Turbine (WT) is important to achieve a constant output torque for attaining stability of WT. Therefore, accurate and effective controlling techniques are proposed and designed to produce constant output torque. In this context, two controlling techniques, i.e. Proportional-Integral (PI) and Fuzzy Logic (FL) based blade pitch angle control is implemented and their performance is analysed. Both the controlling techniques are investigated in terms of torque stability and response time. The proposed system is modelled in MATLAB/Simulink environment. The performance of the system with these control techniques is investigated under variable wind speed conditions such as small and large duration variations, increase and decrease of wind speed. However, the performance of both the systems is found satisfactory, but system with FLC shows better performance as compare to PI based system in terms of settling time.

Study & performance of DVR for voltage quality enhancement

Power quality problems become a major anxiety of industries due to enormous loss in terms of time and money. The power quality consists of a large number of disturbances such as voltage sags, swells, harmonics, notch, flicker, etc. There are the various methods to alleviate the power quality problems, but the FACTS devices are the most excellent solution to alleviate this problem. One of the most powerful FACTS devices is the DVR to alleviate the voltage sag and swell. This paper describes the study and performance on DVR and various compensation method of DVR which are used to mitigate the voltage sag and swell and its impact on sophisticated loads. The result is achieved by using MATLAB/Simulink. In the simulink model the In-Phase compensation technique for voltage quality improvement is used.

Performance analysis of neural network and fuzzy logic based MPPT techniques for solar PV systems

The maximum power point tracking (MPPT) technique in the photovoltaic (PV) system is used to achieve maximum power through the solar PV system. Therefore, the interest is generated to design a more effective and efficient MPPT to achieve maximum power transfer to the load. In this context, two MPPT techniques, i.e. artificial neural network (ANN) and fuzzy logic control (FLC) are implemented and their performance is analysed. Both the MPPT techniques are investigated in terms of efficiency and response and they are developed in MATLAB/Simulink environment. Their performance is investigated under variable irradiation conditions and found satisfactory for both the techniques.

Hydrogen generation/pressure enhancement using FC and ANN based MPPT assisted PV system

In this paper, two systems based on renewable energy sources are considered for the generation of H2 by electrolysis process of water. A compressor system is used for enhancing the generated H2 pressure for both the considered systems. Firstly, a PEMFC is utilized for electrical power generation, and to drive the compressor system. Generated H2 pressure is again feed to PEMFC operation itself. The electrical power generated by PEMFC is used to assist the induction motor (IM) driven compressor system to enhance the H2 pressure. Secondly, an artificial neural network (ANN) based maximum power point tracking (MPPT) technique assisted solar photovoltaic (PV) system is utilized for the same purpose. The dynamic modeling of PEM fuel cell, MPPT assisted solar PV system, electrolyzer, H2 storage tank and compressor has been done by using MATLAB/Simulink environment. The performance of the PEMFC and solar PV power assisted induction motor driven H2 compressor system has been investigated in detail.

Pitch Angle Controlling of Wind Turbine System Using Proportional-Integral/Fuzzy Logic Controller

Blade pitch angle and tip speed ratio (TSR) control approaches are very important in Wind Turbine (WT) to achieve a constant output torque for stability of WT operation. Therefore, accurate and effective control techniques are investigated and designed to supply constant output torque to the Permanent Magnet Synchronous Generator (PMSG). Furthermore, two controlling approaches, i.e. Proportional-Integral (PI) and Fuzzy Logic (FL) based blade pitch angle and TSR control are implemented, and their performance is investigated in terms of torque stability and response time. The complete system is modeled in MATLAB/Simulink environment. The performance of the system with these control techniques are investigated under variable wind speed conditions. The performance of both the systems is found satisfactory, but system with FLC shows better performance as compared to PI controller.

Performance of a three-phase Self-Excited Induction Generator with Static Synchronous Series Compensator

The performance of three-phase Self-Excited Induction Generator (SEIG) with Static Synchronous Series Compensator (SSSC) is investigated to feed various static loads. The employed SSSC is a three-phase, Insulated Gate Bipolar Transistor (IGBT) based, PWM operated, Current-Control Voltage source converter (CC-VSC). The reference current to generate the gating signals is obtained by employing only one PI control loop. With the designed parameters and the proposed control scheme, the SSSC is found effective to regulate load voltage during change of the loads.