No abstract

This paper proposes a detailed mathematical model of Photovoltaic(PV) array and a three-level control scheme of a single-phase grid-connected system including maximum power point tracker, voltage source inverter and its controller based on the MATLAB/Simulink tool. The PV model is developed by using basic circuit equations of the photovoltaic (PV) solar cells including the effects of solar irradiation and temperature changes. The perturb-and-observe algorithm is used to extract maximum power from PV arrays and deliver it to the inverter and PI control algorithm is used to control the three-level voltage source inverter. The simulation result shows the power sharing between PV and the Grid for any given load. Here generation of PV depends on the insolation of PV array Keywords-Grid connected, photovoltaic (PV), proportionalintegral (PI) current control, pulse width modulated (PWM) inverter.

No abstract

Space vector modulation (SVM) has advantages such as wide linear range of operation, better DC link utilization, 15% more output voltage than Sine PWM and Less harmonics content. For High Voltage application switching frequency is limited by stresses on switches. Multilevel inverter provide solution for the increase operating voltage for converter above the limits of semiconductor devices along with reduced dV/dt stress. However implementation of Three-level Space Vector Modulation involves significant increase in complexity. In this paper in effort to simplify SVM for Three-level Voltage Source Inverter (VSI) ,the Three-level VSI is synthesized using a dual Two-level inverter for open-end winding induction motor drive and is simulated in PSIM. The proposed method results in reduction in the amount of switching commutations in the dual-inverter by half. The implementation of the suggested Three-level SVM scheme neither needs any look-up tables nor sector identification for the under modulation region.

Electric Vehicles (EV) can be connected to the grid for power transaction and also serve as distributed resource (DR) or distributed energy storage system (DESS). The concept of connecting group of EVs or gridable EVs (GEV) to the grid is called Vehicle-to-Grid (V2G). V2G is a prominent energy storage system as it is flexible and can be used to support the grid requirements in order to meet the time varying load demand. Optimal placement of GEV aggregation in power distribution network is very challenging and helps in maintaining stability of the power system for a shorter duration of time. In this paper, algorithm is developed for estimating parameters like Ploss, Qloss, Vpu based on past history and wireless access support for Control and Monitoring Unit (CMU) to aggregator agent communication is proposed using Long Term Evolution (LTE) protocol. The load flow studies are carried using MiPOWER software in order to obtain the optimal location for the placement of GEV aggregation in power distribution network. LTE physical layer is modeled using MATLAB/SIMULINK and the performance is analyzed using bit error rate (BER) v/s signal to noise ratio (SNR) curves.