In this paper, Induction Motors (IM) are widely used in the industrial application due to a high power/weight ratio, high reliability and low cost. A Space Vector PWM (SVPWM) is utilized for PWM controlling scheme. The performance of both the speed and torque is promoted by a modified PI controller and V/F scalar control. A scalar control is a simple method and it's operated to control the magnitude of the control quantities in constant speed application. V/F scalar control has been implemented and compared with the PI controller. The simulation results showed that Indirect Field oriented control (IFOC) induction motor drive employ decoupling of the stator current components which produces torque and flux. The complete mathematical model of the system is described and simulated in MATLAB/SIMULINK. The simulation results provides a smooth speed response and high performance under various dynamic operations.

This work aims to improve the voltage profile and reduce electrical network losses through optimal planning of distributed generators. A new search algorithm (Autoadd) along with the (PSO) are introduced to choose the best location and size for distributed generators. Two systems are implemented; a 33-bus test network and a 30-bus of a local community in the city of Al- Diwaniyah. At the power flow, a solution is implemented using a fixed-point iteration method within an OpenDSS environment to check the performance of both networks. Moreover, the optimal location and size of the distributed generators are determined using Autoadd and PSO methods. The Autoadd method is implemented within the OpenDSS environment, while the (PSO) method is implemented within the MATLAB-OpenDSS environment through the com-interface. The validity and effectiveness of the proposed methods are validated by comparison with the published researches. The results have proven that the fixed-point method has achieved high efficiency and accuracy in terms of analyzing the power flow, whereas the (Autoadd) algorithm has achieved a better effect in terms of improving the voltage profile and minimizing losses.

This paper presents a modified maximum power point tracking algorithm (Modified MPPT) for PV systems based on incremental ‎conductance (IC) algorithm. This method verified with the dynamic irradiance and sudden change of irradiance, the ‎comparisons ‎with ‎conventional methods, for example, the perturbation and observation (P&O) and Modified perturbation and observation ‎‎ (Modified P&O) were performed. A photovoltaic (PV) panel was simulated and tested using MATLAB/Simulink ‎based on PV ‎panel ‎at Power Electronics Laboratory. The results show ‎that this ‎method ‎capable to find the maximum power point (MPP) under dynamic behavior faster ‎than (‎P&O) and‎ Modified P&O). Reduced oscillation of MPP indicates enhanced ‎efficiency, providing ‎maximum power transfer to load. ‎

This paper presents the design and implementation of intelligent maximum power point tracking (MPPT) technique for Photovoltaic (PV) systems. The proposed MPPT is based on the fuzzy logic controller (FLC). FLCs have the benefit of being very easy to design as they don’t need accurate knowledge of the system and work well for the nonlinear system. The MATLAB/Simulink was used to verify the proposed method, with three scenarios of environment conditions. The DC-DC converter has been designed and simulated using PLECS simulation software, then implemented practically in order to work as impedance matching between PV source and load. The system was built based on Field Programmable Gate Array (FPGA) and connected to the PV panel and tested practically at the site for different environment conditions and compared with measurements obtained using solar analyzer device. According to the simulated and experimental results, the proposed method capable to find the maximum power point (MPP) under different climate conditions excellently with compared to perturb and observation (P&O) method. Also, it has very low oscillation about (MPP) and high response, as a result, efficiency is enhanced, providing maximum power transfer to load.

The power losses in distribution system are high, which form 70-80% of total transmission and distribution losses. High losses have severe impact on stability, reliability as well as economy. Therefore, minimization of these losses is very necessary. In this paper proposed various schemes to reduce the active power losses in distribution network, given as:-Optimum reconfiguration network,-Optimum Distributed Generation (DG) placement and-Optimum reconfiguration with optimum (DG) placement. Using Cymdist software to implement the optimal reconfiguration algorithm and proposed Genetic Algorithm (GA) to find the size and location, which programmed under MATLAB software package. Whereon the proposed methodology (GA) simplifies the problem by dividing it in two phases, namely Placement Planning Model (PPM) and Size Planning Model (SPM) thereby reducing the search space. It was the integration of the two methods were used after each method individually to obtain minimum real power losses with better bus voltage (better efficiency for network).To verify the proposed algorithms, IEEE 33-bus system and aljihad neighborhood distribution system (Baghdad distribution sector) are tested. The simulation results are compared with proposed works in literature.

Voltage stability is necessary to maintain the grid system healthily. The load demand has been steadily increasing that causing high losses and voltage drops, endangering the system's stability. This study proposes the suitable insertion of distribution static compensator (DSTATCOM) based on voltage stability margin (VSM) with optimum network reconfiguration (ONR) to reduce losses and enhance the voltage profile. The findings are acquired utilizing recommended methodologies and test systems such as the IEEE-33 bus and 39 bus of an Iraqi distribution network, which are done using CYME and MATLAB software. The proposed approach may be able to solve the problem by aiding distribution network operators in estimating the size and location of DSTATCOM.

<span lang="EN-US">The ability to control the speed of three-phase induction motors is a complex and arduous task using conventional control methods because the induction motor still inherits traditional design problems such as nonlinear and multivariate reactive dynamic behavior that leads to difficult design of the motor's mathematical model, and the strict overlap between decades of mathematical parameters. This causes more complex relationships with changing loads. This complexity results in unacceptable behavior of the system, and the difficulty of controlling its speed without affecting the torque, and thus the specific calculations of engine efficiency are almost low. Therefore, the current research provides the implementation of devices for the V / F control method that is fed via Inverter of the voltage source using the new generation of digital signal processor TMS320F28335 according to the theory of space vector pulse width modulation (SVPWM) for the application of motor control. The results obtained from practical experience show the possibility of obtaining a wide range of control and thus reduce the damage to the system in the event of The load thus ensuring the reliability of The proposed control scheme is built on DSP</span><em><span lang="AR-SA" dir="RTL">.</span></em>

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