Majlesi Journal of Energy Management <p>The scope of MJEM is ranging from mathematical foundation to practical engineering design in all areas of energy management. The editorial board is international and original unpublished papers are welcome from throughout the world. The journal is devoted primarily to research papers, but very high quality survey and tutorial papers are also published.</p> <p>There is no publication charge for the authors.</p> en-US (Dr. Mohsen Ashourian) (Taba Web) Thu, 23 May 2019 12:39:20 +0000 OJS 60 A New SVM Scheme based on ANN Controller of a PMSG Controlled by DPC Strategy <p>A permanent magnet synchronous generator (PMSG) is a generator where the excitation field is provided by a permanent magnet instead of a coil. In this work space vector modulation (SVM) method using artificial neural network (ANN) on the stator side converter of a 6KW PMSG controlled by direct power control (DPC). In this article, the converter is controlled by a new SVM technique in order to minimize the total harmonic distortion (THD) and powers ripples (active and reactive). The validity of the proposed strategy applied on the PMSG is verified by Matlab/Simulink. On the other hand, the reactive power, stator current, active power is determined and compared with conventional command strategy.</p> <p>&nbsp;</p> Habib Benbouhenni ##submission.copyrightStatement## Thu, 23 May 2019 00:00:00 +0000 Switching Control based on Achievement of Maximum Power in Solar Cell with Adaptive Controller <p>&nbsp;In this paper by using the nonlinear structure for model the solar cell, the voltage and the desired power as the solar cell output are provided. The optimal operating point for power of solar cell system is called the maximum power point and varies in different conditions. In order to achieve this goal, the DC / DC converter is boost converter, which controls by its switching. Fuzzy theory has been used to achieve optimal power for load and maximum solar cell power. In this paper, the fuzzy algorithm is also used to optimize the control method. Changes in output load and amount of sunlight are among the issues in which the stability of the control system is analyzed. The results are presented according to the simulation in MATLAB software and the good performance of the controller is shown in different conditions of the system's performance.</p> Sayed Abdolhossein Emadi, Mohammad Reza Zare ##submission.copyrightStatement## Thu, 23 May 2019 00:00:00 +0000 Advanced Dynamic Programming for Unit Commitment of Thermal Units when Constraints in Short-term are Unsatisfied <p><strong>Abstract</strong> – This paper presents an advanced dynamic programming approach for solving the unit commitment problem. The proposed method prove unit commitment is economical in terms of cost and CPU time. the propsed method&nbsp; yielded the optimal value of the schedule after many stages of refining and checking procedures. The problem also considers the unit ramping constraint. The proposed algorithm refined the divergence in the case of the 10-unit system and it was observed that final UC passed through all stages without any divergence. The basic advantage of the proposed algorithm is the high speed of convergence. Results reveal that the proposed alghorithm is very effective in reaching the optimal schedule for the short-term unit commitment problem.</p> Mehdi Amini Kazemi, Alireza Sedaghati ##submission.copyrightStatement## Tue, 30 Apr 2019 00:00:00 +0000 Determining the location and capacity of combined heat and power generation units (CHP) andstatic voltage compensator (SVC) in energy hub <p>The purpose of present study was to optimal positioning of SVC and CHP simultaneously, in a way that lead to highest profit and the lowest losses in the system.This method increases the efficiency of entire transmission system and has a significant effect on the power quality and energy hub. For this purpose, neural network method was used to optimize energy cost and hub.Neural network is considered as an intelligent and efficient method of optimization and the results of simulations indicated the effectiveness of the method in optimized positioning</p> Mehdi Rezaeiheydari; Ehsan Esfandiyari ##submission.copyrightStatement## Fri, 02 Nov 2018 00:00:00 +0000 Optimal DG Sizing and Siting in Radial System Using Hybridization of GSA and Firefly algorithms <p>In order to improve the Voltage Stability Index (VSI), real and reactive power loss compensation, there is a solution in terms of Distributed Generation (DG). By incorporating DGs at proper location with suitable size the power losses will be reduced and there is an improvement of voltage profile. For this a new approach was introduced which is a hybridization of Firefly Algorithm (FA) with Gravitational Search Algorithms (GSA). After finding the real power losses using conventional method like Backward/Forward (BW/FW) sweep approach, the new approach was implemented to prove that it was the better algorithm than the other approaches. All these approaches have been implemented on standard IEEE-33 radial test system. MATLAB software was used to simulate the results and to find optimal DG sizing and siting on IEEE-33 test system.</p> Rajesh Kumar Samala, Mercy Rosalina K, Dr. ##submission.copyrightStatement## Tue, 09 Oct 2018 00:00:00 +0000