Majlesi Journal of Energy Management
Volume:10 Issue: 2, Jun 2021

Due to the dramatic growth in the electric power industry and the large gap between small and large loads and loads economic crisis that has gripped most of the world, an issue critical to the operation of power plants has become. Also growing use of traditional sources of energy and lack of response to this need has created a lot of problems around the world. Including that they can reduce fossil fuel resources, and the environmental impact of greenhouse gas increases noted. This problem has led to concerns of environmentally friendly technologies such as electric cars get more attention. Considering to the capability of bi-directional exchange power in vehicles, electric vehicles are a significant number of network connections To coordinated the management and intelligent control of an entity causing the network to be connected together, Considering In this type of electric vehicles as well as hardware that is installed in the parking lot, as they can quickly set up a small virtual power plant set-up costs are too high and behave. The main focus of this thesis is to develop a model in order to exploit the electrical grid in the smart grid the intelligent power network operation in the presence of electric vehicles can be connected to the network has been studied. This paper presents an optimal load management strategy for residential consumers that utilizes the communication infrastructure of the future smart grid. The strategy considers predictions of electricity prices, energy demand, renewable power production, and power-purchase of energy of the consumer in determining the optimal relationship between hourly electricity prices and the use of different household appliances and electric vehicles in a typical smart house. The proposed strategy is illustrated using two study cases corresponding to a house located in Zaragoza (Spain) for a typical day in summer. Results show that the proposed model allows users to control their diary energy consumption and adapt their electricity bills to their actual economic situation.

The groundnut threshing machine is an automatic device which removes groundnut seeds from their pods by stripping, impact action, and rubbing. In such machine, the main components are; the feeding hopper which contains the unshelled groundnuts, infrared sensor, the threshing unit which comprises of rotating pike (beater) and a fixed concave (screen) with a small gap space for threshing the groundnut, the separation unit which separate the threshed seeds from the chaffs with using a fan, and the collecting unit where the seeds will be stored and convened through a conveyor. An automation programming code in C language has developed and executed in an Arduino Uno which has enabled the automation process of the groundnut thresher, the materials which will be sourced locally. In this technique three motors are used as prime mover for thresher, blower, and conveyor. The performance of the proposed system is evaluated in terms of its throughput capacity, threshing efficiency, and mechanical damage.

The flux reversal permanent magnet machine (FRPMM) is a novel brushless double-salient permanent-magnet machine with a winding less rotor, in which phase flux polarities are reversed in the stator concentrated coils for each electrical cycle of rotor displacement. In this concept, the qualitative comparisons are made between the FRM with different varieties of brushless machines, especially a switched reluctance machine based on Flux-MMF diagram technique. This description gives the all-inclusive review of improvements of several electrical machines for adoption to renewable energy harvesting, disclose all equivalent limitations along with research favorable circumstances. Various design strategies including the magnet arrangement and winding techniques are adopted to increase the performance of FRPM. In this study results of recent contributions are discussed and analyzed.

In this work, the vector control methods of doubly-fed induction generator (DFIG) in wind energy conversion systems are studied. In the methods under study, the proper voltage space vector of the rotor side converter is selected using a proportional-integral (PI) controllers. The artificial neural networks (ANNs) based on space vector modulation (SVM) which is used to control the inverter in order to reduce the reactive and active power ripples and minimize the total harmonic distortion (THD) of the rotor current. Various simulations are performed in Matlab/Simulink software on a DFIG system in order to investigate the dynamic performance and robustness of the proposed control methods against machine internal parameters variations.

In this paper, a new method for controlling electric dynamometer based on fuzzy control is presented. Due to the advantages of squirrel cage induction motors, such as simple structure, good reliability and low maintenance cost, these motors are suitable for use as dynamometer to provide dynamic load for torque-speed or speed-power curve characteristics. In order to obtain better torque control performance and induction motor speed, Direct Torque Control (DTC) method is implemented based on space vector modulation (SVM) technique with fuzzy method. The fuzzy method is used instead of PI or hysteresis Torque and flux comparators. For the dynamometer simulation, a 200-horsepower squirrel cage induction motor is connected to a 200-hp direct current motor via the shaft model. The performance simulations of the proposed dynamometer system were evaluated in three study modes for each of the hysteresis direct torque control, PI torque control and fuzzy direct torque control approaches by Matlab / Simulink software. The simulation results show the significant effect of the fuzzy method on reducing the response speed fluctuation and reducing the torque ripple. The results show that it is possible to use high power motor for electric dynamometer.

This paper presents a new functional, powered boost adjusted inverter with improved voltage gain by incorporating an anti-parallel switch with a capacitor that allows two operating modes. These are Continuous Mode of Conduction and Discontinuous Operating Mode. In the proposed qZSI voltage gain is significantly increased without the use of passive components by adding auxiliary switch. The two operating modes are distinguished by varying switched capacitor qZSI inductances and load conditions. The improvement potential of the proposed CC-qZSI can be expanded further (n-stages) by connecting Diodes and Capacitors in n No.of stages. The limiting conditions for CCM / DCM were derived. Detailed analysis of the voltage control power, current inductance ripples, stresses and converter losses on switching devices for CCM and DCM has been carried out. Both modes of operation are simulated and experimentally verified and validated.