Control of Electromechanical systems
mohammadmahdi kazemi; alireza rezazade
Abstract
In this paper, two different structures of a multiphase inverter for controlling a Brushless DC (BLDC) motor are presented and compared parameters These two structures are in fault mode. In the first structure, each phase of the BLDC motor is fed from an individual H-Bridge inverter, which is controlled ...
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In this paper, two different structures of a multiphase inverter for controlling a Brushless DC (BLDC) motor are presented and compared parameters These two structures are in fault mode. In the first structure, each phase of the BLDC motor is fed from an individual H-Bridge inverter, which is controlled by a Proportional-Resonance (PR) controller. The system dealt with in this paper is designed especially for reliability-critical applications. In other words, the motor structure has to be implemented not to compromise the drive performance even in fault conditions. For these purposes, modular designs to minimize the coupling between each phase. in the second structure, a typical six-legged inverter is used, which is divided into two groups of three phases with double Y-connected windings displaced by 30 degrees is presented and switching is done using Space Vector Pulse Width Modulation (SVPWM). According to the model, the use of SVPWM modulation for a six-phase motor reduces computations. MATLAB/Simulink software has been used to analyze these two structures and the results of its simulations are given.
hosein salmani; ali reza rezazadeh
Abstract
In recent years, increasing of the non-dispatchable resources has posed serious challenges to day-ahead generation scheduling of the power system. Since these resources are random in nature, the issue of flexibility to cover the uncertainty and variability of those has become an important research topic. ...
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In recent years, increasing of the non-dispatchable resources has posed serious challenges to day-ahead generation scheduling of the power system. Since these resources are random in nature, the issue of flexibility to cover the uncertainty and variability of those has become an important research topic. Therefore, having flexible resources to cover changes in the generation of this resources during operation can play an important role in eliminating node imbalances, system reliability, providing the required flexible ramping reserve and reducing system operating costs. Among these flexible sources, we can mention fast-response dispatchable generation units such as gas units and combined cycle units. Therefore, in this paper, a mixed-integer two-stage and tri-level adaptive robust optimization has been used, which is solved by column-and-constraint generation decomposition-based algorithm in order to jointly clearing the energy and ramping reserve with the presence of fast response and flexible resources. The simulation results show the efficacy of the proposed model.
Hasan Mashayekh; Alireza Rezazadeh
Abstract
An accurate estimation of battery model parameters is essential for dynamic simulation of electric vehicles. Generally, parameterizing battery models are difficult and complex. Therefore it requires powerful estimation algorithms to overcome time-consuming and computational costs. In this paper, the ...
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An accurate estimation of battery model parameters is essential for dynamic simulation of electric vehicles. Generally, parameterizing battery models are difficult and complex. Therefore it requires powerful estimation algorithms to overcome time-consuming and computational costs. In this paper, the dynamic parameters of a battery model were estimated at 8 different temperatures and under the hysteresis effect. The estimation is based on a hybrid algorithm of particle swarm optimization and grey wolf optimizer. By this hybridization the ability of exploitation in particle swarm optimization and the ability of exploration in grey wolf optimizer improved and both variants were empowered. The algorithm was implemented to estimate parameter values by minimizing the error between experimental data and the predicted results to find an optimal solution for an accurate model. Following a comparison with G.Plett’s, the results indicated that the proposed algorithm can reach higher precision in the battery behavior because of the lower error possibility.
Ali Asghar Sarabadani; reza latifi; ali reza rezazadeh
Abstract
The increasing growth of the technology and industry of electric propulsion, and consequently the growth of the industry of electric energy storage systems, including batteries, have raised challenges such as optimizing the charging process and storage of electric energy. One of the important factors ...
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The increasing growth of the technology and industry of electric propulsion, and consequently the growth of the industry of electric energy storage systems, including batteries, have raised challenges such as optimizing the charging process and storage of electric energy. One of the important factors in optimizing the charging process is reducing the time interval. Hence, today, topologies such as fast charging and stations equipped with this topologies are expanding. Quick charging topologies reduce the length of the charging process by optimizing the electric charge circuit and optimizing the design of switching elements and its control system. This paper first examines the electric vehicle charging system in terms of the standards that classify the input voltage level as well as the technologies that increase the flexibility and efficiency of the electric vehicle charging system. Technologies such as unidirectional and bi-directional charging system, inductive and conductive charging system, integrated and non-integrated systems are presented and discussed in this article. In the second step, these systems are transformed into switching components and features such as the possibility of development with renewable energy production systems, the possibility of injecting power from the electric vehicle energy storage system into the power grid to provide part of the power required at peak demand and also The complexity and multiplicity of key elements have been examined and compared.
Ali Asghar Sarabadani; Hamid Reza Bagheri; Ali Reza Rezazadeh
Abstract
Using hybrid renewable energy is one of the best alternatives to supply the electrical energy at remote areas. Renewable energy sources are depended to weather conditions or other factors, so for supplying load with renewable sources appropriate capacity of these sources should be selected. In determining ...
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Using hybrid renewable energy is one of the best alternatives to supply the electrical energy at remote areas. Renewable energy sources are depended to weather conditions or other factors, so for supplying load with renewable sources appropriate capacity of these sources should be selected. In determining the capacity of renewable energy such as wind and solar, considering the stochastic nature of wind speed and solar radiation is very impressive.one of the problems of using energies like Wind and PV in micro-grid is their Intrinsic uncertainty and their random stochastic which made programming and predicting of such resources complicated. In this Project, stochastic programming and probability scenarios are used in order to model uncertainty in both Wind and PV resources. Optimum programming of micro-grid which is connected to the main grid is considered by mixed integer programming in Gams software in which Virtual Power Producer manages optimum producing and load control by using main control system.In order to solve the economic distribution of power in a micro-grid with different constraints, such as load and generation balancing, generation constraints, charging of storage resources in different scenarios and also the issue of unit commitment for sources of generation, the mixed integrated programming approach in this paper has been used.
َAli Asghar Sarabadani; Hamid Reza Bagheri; Ali Reza Rezazadeh
Abstract
A micro-grid usually consists of a set of distributed generation resources, a power storage system and loads that can be exploited in both grid-connected and island operations, The use of micro-grid can have many benefits for consumers and for power generator companies, from point of view of consumers ...
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A micro-grid usually consists of a set of distributed generation resources, a power storage system and loads that can be exploited in both grid-connected and island operations, The use of micro-grid can have many benefits for consumers and for power generator companies, from point of view of consumers micro-grid has the capability to simultaneously provide electricity and heat, increase reliability, reduce greenhouse gas emissions, and improve the quality of electricity and from point of view of companies The use of micro-grid will reduce the facility for the development of transmission lines and, in addition, will eliminate peak consumption points, which will also result in network losses reduction. Micro-grids can be a good solution for energy generation, considering the environmental and economic issues. In this paper, determining the economic power dispatch of a grid-connected micro-grid system by Stochastic programming is examined. The hybrid system studied consists of wind turbines, solar arrays, hydrogen fuel cells, combined heat and power storage units, the purpose is to minimize the cost of generating power and reduce the cost of environmental pollution using the genetic algorithm in the study period.
