A. Dejamkhooy; A. Ahmadpour
Abstract
The Switched Reluctance Motors (SRMs) not only are low cost for industry applications, but also they could work in various conditions with high reliability and efficiency. However, usage of these motors in high speeds applications under discrete mode causes decreasing the efficiency. In ...
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The Switched Reluctance Motors (SRMs) not only are low cost for industry applications, but also they could work in various conditions with high reliability and efficiency. However, usage of these motors in high speeds applications under discrete mode causes decreasing the efficiency. In this paper, a new optimized control method based on the various Torque Sharing Functions (TSFs) and optimization algorithms is proposed for Minimum Torque Ripple Point Tracking (MTRPT) of a 4-phase SRM with 6/8 poles. In this method, turn-on and commutation angles are controlled based on the lookup table. The proposed method could adjust the rapid variations of the current in the starting mode of SRM. To show the robustness of the proposed approach, a real case study is considered, the control method is applied in an Electric Vehicle (EV) mechanism, and its performance is assessed in various motion states such as acceleration, breakage, and steady-state. Also, the position sensor for the studied EV is neglected, which could reduce the extra costs. There are two various scenarios considered for solving the problem. First, the turn-off and turn-on angles are controlled, and the commutation angle is fixed. The results show the robustness of the proposed method with about 90 \% diminishing the torque ripple, compared to when all mentioned angles are fixed. In the second step, based on a lookup table, instead of using complex analytical methods, the turn-on angle is controlled. Therefore, a variable turn-on angle proportional to the applied speed is applied to the commutation control system of SRM. Besides, a lookup table is created to restrain the reduction of the turn-off angle. The simulation results are compared to other previous methods, and the worth of the proposed method is shown.
E. Naderi; A. Dejamkhooy; S.J. SeyedShenava; H. Shayeghi
Abstract
Recently due to technical, economical, and environmental reasons, penetration of renewable energy resources has increased in the power systems. On the other hand, the utilization of these resources in remote areas and capable regions as isolated microgrids has several advantages. In this paper, a hybrid ...
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Recently due to technical, economical, and environmental reasons, penetration of renewable energy resources has increased in the power systems. On the other hand, the utilization of these resources in remote areas and capable regions as isolated microgrids has several advantages. In this paper, a hybrid microgrid, which includes photovoltaic (PV)/wind/energy storage, is investigated. It has been located in Iran-Khalkhal. The purposes of this study are optimal energy management and sizing of the microgrid. Since the magnitude of the harvested renewable energy deals severely and complexly with season and climate issues, planning of the system based on their specific values is an oversimplification. Therefore, in addition to conventional constraints such as environmental and operational ones, estimation of the wind speed at the site is considered. The Monte Carlo method is employed to model and estimate wind behavior. Also, for regulating production and demand in the microgrid the Demand Response (DR) program is conducted to improve the contribution of the renewable energy resources. The planning is constructed as an optimization problem. It is formulated as a Mixed Integer Linear Programming (MILP). By solving it, the size and production magnitude of energy sources, as well as storage conditions, are determined. Finally, the proposed method is simulated by GAMS for all seasons of two scenarios. The results show desirable energy management and cost reduction in the studied grid.
Micro Grid
A.M. Dejamkhooy; M. Hamedi; H. Shayeghi; S.J. SeyedShenava
Abstract
A stand-alone microgrid usually contains a set of distributed generation resources, energy storage system and loads that can be used to supply electricity of remote areas. These areas are small in terms of population and industry. Connection of these areas to the national distribution network due to ...
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A stand-alone microgrid usually contains a set of distributed generation resources, energy storage system and loads that can be used to supply electricity of remote areas. These areas are small in terms of population and industry. Connection of these areas to the national distribution network due to the high costs of constructing transmission lines is not economical. Optimal utilization and economic management of production units and storage devices are important issues in isolated microgrids. During optimum utilization, of renewable energy harvesting is maximized and fuel cost of diesel units reduces as much as possible. In this paper, the optimization problem is designed and solved as Linear Programming (LP). The cost of diesel generator unit depends on its production. Also, the fact is considered that the efficiency of diesel generator units is not constant for all amount of production. As a solution for this challenge demand side management plans have been proposed. On the other hand, load uncertainty is considered in this paper. Several scenarios are simulated by GAMS software for different conditions of a typical microgrid. The simulation results show the success of the proposed method in reducing costs and fossil fuel consumption and increasing the consumption of renewable energy.
