Control of PV-FC-Battery-SC Hybrid System for Standalone DC load

Abstract— 

This paper presents a hybrid system comprise of Photovoltaic (PV), Battery, Supercapacitor (SC), Fuel Cell (FC)
to meet isolated DC load demand. The PV is the primary energy source, whereas battery and SC both are considered for their different power density to supply transient and steady load respectively. To increase the reliability of the system the fourth source FC has been chosen to keep the battery fully charged. All sources are connected to DC bus by different DC-DC converters. A power flow control strategy adapts their variable DC voltage to Bus voltage by means of these converters. In this work, FC is chosen to work for a limited period. This will avoid the over sizing of the FC and limit the operational cost of the system. The whole energy management principle has been validated in MATLAB/SIMUINK with variable load demand and solar radiation profile.

Optimal Speed Control of Hybrid Electric Vehicles

Abstract

The main objective of this paper is to control the speed of Nonlinear Hybrid Electric Vehicle (HEV) by controlling the throttle position. Various control techniques such as well known Proportional-Integral-Derivative (PID) controller in conjunction with state feedback controller (SFC) such as Pole Placement Technique (PPT), Observer Based Controller (OBC) and Linear Quadratic Regulator (LQR) Controller are designed. Some Intelligent control techniques e.g. fuzzy logic PD, Fuzzy logic PI along with Adaptive Controller such as Self Organizing Controller (SOC) is also designed. The design objective in this research paper is to provide smooth throttle movement, zero steady-state speed error, and to maintain a Selected Vehicle (SV) speed. A comparative study is carried out in order to identify the superiority of optimal control technique so as to get improved fuel economy, reduced pollution, improved driving safety and reduced manufacturing costs.

A Novel Design of Hybrid Energy Storage System for Electric Vehicles

Abstract: 

In order to provide long distance endurance and ensure the minimization of a cost function for electric vehicles, a new hybrid energy storage system for electric vehicle is designed in this paper. For the hybrid energy storage system, the paper proposes an optimal control algorithm designed using a Li-ion battery power dynamic limitation rule-based control based on the SOC of the super-capacitor. At the same time, the magnetic integration technology adding a second-order Bessel low-pass filter is introduced to DC-DC converters of electric vehicles. As a result, the size of battery is reduced, and the power quality of the hybrid energy storage system is optimized. Finally, the effectiveness of the proposed method is validated by simulation and experiment.

Performance Analysis of Photovoltaic based DSTATCOM using SRF and IRP Control Theory

Abstract- 

The Power quality has become one of the most vital issue to both electric utilities and end level users of electric power • Automation has completely changed the load nature due to widespread use of power electronic based drives such as adjustable speed drives, Energy efficient lighting, PC's, office accessories etc. All power electronic based sensitive equipments are the major fatalities of power quality problems such as voltage Sag, Swell, Waveform distortion , Poor power factor etc. In this paper , a three phase three wire Distribution Static Compensator (DSTATCOM) which is fed by Photovoltaic (PV) array is proposed for power quality improvement. The DSTATCOM is a three leg voltage source Inverter (VSI) with a DC link capacitor. Photovoltaic module is used to keep regulate the desired voltage at DC link . The Power quality improvement is achieved in terms of reactive power compensation ,Power factor correction, Harmonic reduction, DC voltage control. In this paper, the performance of DSTATCOM is shown for Power factor correction(PFC) and Zero voltage regulation (ZVR) modes using d-q and p-q theories of control. The effectiveness of the PV based DSTATCOM is verified with simulation results. The simulation is carried out on MATLAB soſtware using Simulink and PSB toolboxes.