International Journal of Smart Electrical Engineering
Volume:6 Issue: 2, Spring 2017

This paper presents a novel concept of utilizing the photo voltaic solar farm inverter as STATCOM(Static Compensator), named PV-STATCOM, in order to improve the voltage profile of the power system. The entire STATCOM is able to transmit either active or reactive power into the grid. This system is connected to a 14 BUS IEEE standard grid as a case study to simulate the performance of the system. By decoupling active and reactive power, the inner loop control algorithm is used to trace the active power and the reactive power current separately. Meanwhile, outer loop regulates DC link voltage and grid-connected voltage. The simulation results shows that the photo voltaic system with STATCOM can improve the active power stably, keep grid connected voltage stable, and improve power quality of output voltage and current. Moreover the mathematical modeling of the whole system is verified. The simulation process is validated in MATLAB/SIMLULINK environment.

The doubly-fed generators (DFIG) have clear superiority for the applications of large capacity and limited-range speed control case due to the partially rated inverter, lower cost and high reliability. These characteristics enable the doubly-fed wound rotor induction machine to have vast applications in wind-driven generation.In this paper Combined Vector and direct power control (CVDPC) strategy is applied to control a doubly fed induction generator (DFIG) based wind energy generation system. AC/DC/AC converter is controlled by Combined Vector and direct power control method. The rotor side converter is controlled by selecting appropriates voltage vector based on the instantaneous errors between the reference and estimated values of active and reactive powers and rotor flux position. Also the Grid side is controlled by Combined Vector and direct power control based a grid voltage position to ensure a constant DC voltage, Simulation results demonstrate robust, precise, and fast dynamic behavior of the system. Keywords: Doubly Fed Induction Generator, Vector Control, Direct Power Control, VCDPC.

An adaptive neuro fuzzy inference system based on interval Gaussian type-2 fuzzy sets in the antecedent part and Gaussian type-1 fuzzy sets as coefficients of linear combination of input variables in the consequent part is presented in this paper. The capability of the proposed method (we named ANFIS2) for function approximation and dynamical system identification is remarkable. The structure of ANFIS2 is very similar to ANFIS but in ANFIS2 a layer is added for purpose to type reduction. An adaptive learning rate based backpropagation with convergence guaranteed is used for parameter learning. Finally the proposed ANFIS2 are used to control of a flexible link robot arm that can be used in radar. Simulation results shows the proposed ANFIS2 with Gaussian type-1 fuzzy set as coefficients of linear combination of input variables in the consequent part has good performance and high accuracy but more training time, so radar system can be controlled very well.

This is an adoptive design of ant colony system and has been generalised to AGV transport system, predetermined targets replacement results has been evaluated simulating four AGV in Mat lab by Particle Algorithm and fuzzification and simulating the operative environment with regard to constant velocity and different results has been compared to each other by changing robots’ location and replacement of obstacles in the environment and using laser guidance system. Optimising considered sensor’s arrays led to more efficient and faster feedback. Regarding improvements mentioned, AGVs passing the obstacles with ease, choosing the shortest distance to the target and are flexible enough in case of one of the AGVs failure. 1- The AGV that has worked less than the others (from distance perspective), 2- the AGV which has been the closest to the failed AGV and 3- the AGV that has replaced fewer load. in fact, the system was able to operate more efficiently than when using an AGV.

Nowadays, propagation of wind turbines make challenges to supply safe power to the grid. Because of wind speed changes, supervisors are concerned to wind turbines, be able to produce appropriate electric power during the wind speed changes. As a matter of fact, investors are mostly like to invest on offshore wind farms, because of their more stable and continuous wind speed rather than onshore ones. Although offshore wind farms are more reliable than onshore ones, their power control is a very important issue. In this paper a method is presented to control wind farms output power. This method is able to fix wind farm output power even during the wind speed changes. On the other hand by this method, the wind farm is able to operate such as a PV BUS. The proposed wind farm configuration and control system is validated by simulation on Matlab/Simulink software. We also formulate and model the wind turbine, VSC converters of HVDC link and the PMSG generator. Moreover they are modeled and simulated on d-q frame by MATLAB/Simulink.

Industrial robots need instrument or parts transport to do which requires coordinate to show the robot’s instrument, parts and body. When investigating the robot location, we are usually interested in measuring its location relative to a reference coordinate system. In this system it is attempted to make the assemble direction smaller by designing the sensor board and making use of an instrument for self-adaptation of the gripper to the gripper working environment pallet. In addition, in order to eliminate the robot errors and parts transport system errors to the robot, there are different models employed using different sensors. In this research, the LASER sensors are used based on their applicability and cost. In present article, the V-REP software is used in order to simulate the mechanism. Considering the simulation results it can be stated that the RCC is an optimal model. Based on explained models in different sections of the article, this model can eliminate many of the errors in assemble by an optimal structure and reliable restriction and considering the geometrical uncertainty; for example, nail and hole, unreliability of friction coefficient etc. in addition, this model helps the fragile plastic parts assemble.