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Background Permanent magnet machines can be used for many applications, due to their high power density, high efficiency, observable torque‐to‐current ratio, and low maintenance cost. As such, the generator design in wind turbine systems is highly dependent on improvement of efficiency and generator performance. Thus, in order to improve the quality of manufactured electrical machines, a robust and precise optimization model should be developed to substitute the traditional deterministic models. Purpose This paper investigated the optimization design process of an interior permanent magnet synchronous generator (IPMSG) for wind power systems using the finite element analysis (FEA) based on a prototype IPMSG. To that end, a multi‐objective optimization design of a permanent magnet generator (PMG) based on Taguchi method was proposed. Design/Method The influence of the pole arc angle, magnet inset, magnet thickness, magnet width, and stator tooth width as well as slot depth were considered as the design parameters. The main characteristics of generator efficiency, total harmonic distortion (THD) and the amplitude of induction electromotive force (EMF) were taken as the optimization objectives, as well. The orthogonal matrix was established based on the number of the selected variables and the level factor of each variable, and finite element method (FEM) was, in turn, applied to solve the experimental matrix. As a result, an improved generator with higher maximum efficiency and EMF and lower THD was designed. Conclusions Finally, the prototype IPMSG which was manufactured based on the analysis results and Taguchi method was tested. The experimental tests were then performed to confirm the validity of the proposed design process and the generator efficiency. The prototype experiments and the finite element simulation results verified the efficacy of the optimization method.
Seyyed Reza Karimpour; Mohammad Reza Besmi; Seyyed Mehdi Mirimani. Optimal design and verification of interior permanent magnet synchronous generator based on FEA and Taguchi method. International Transactions on Electrical Energy Systems 2020, 30, 1 .
AMA StyleSeyyed Reza Karimpour, Mohammad Reza Besmi, Seyyed Mehdi Mirimani. Optimal design and verification of interior permanent magnet synchronous generator based on FEA and Taguchi method. International Transactions on Electrical Energy Systems. 2020; 30 (11):1.
Chicago/Turabian StyleSeyyed Reza Karimpour; Mohammad Reza Besmi; Seyyed Mehdi Mirimani. 2020. "Optimal design and verification of interior permanent magnet synchronous generator based on FEA and Taguchi method." International Transactions on Electrical Energy Systems 30, no. 11: 1.
Seyed Reza Aali; Mohammad Reza Besmi; Mohammad Hosein Kazemi. Adaptive filtering with robust controller for improvement of inertial response of wind turbine. International Transactions on Electrical Energy Systems 2019, 29, 1 .
AMA StyleSeyed Reza Aali, Mohammad Reza Besmi, Mohammad Hosein Kazemi. Adaptive filtering with robust controller for improvement of inertial response of wind turbine. International Transactions on Electrical Energy Systems. 2019; 29 (10):1.
Chicago/Turabian StyleSeyed Reza Aali; Mohammad Reza Besmi; Mohammad Hosein Kazemi. 2019. "Adaptive filtering with robust controller for improvement of inertial response of wind turbine." International Transactions on Electrical Energy Systems 29, no. 10: 1.
This paper presents an approximated AC model for simultaneous transmission expansion planning (TEP) and reactive power planning by considering wind power investment. Since the full AC-TEP problem is still challenging to solve due to its non-convexity, a linearized model, by means of special ordered set of type 2, is used to represent the mathematical model of the network. The objective function of our problem is considered to be the annualized investment cost of transmission lines, reactive power resources and wind power plants as well as the operation cost of production of electricity and reactive power resources. Wind and load uncertainties are handled by scenario generation. The K-means clustering technique is employed in order to reduce the number of scenarios. The presented work is applied to the 6-bus Garver’s power system, the 24-bus IEEE RTS and the 118-bus IEEE power system. These three different examples illustrate the characteristics of the method. The results and the provided discussions clearly show the effectiveness and robustness as well as the computational efficiency of the proposed stochastic co-planning framework.
Abolfazl Arabpour; Mohammad Reza Besmi; Pouria Maghouli. Transmission Expansion and Reactive Power Planning Considering Wind Energy Investment Using A Linearized AC Model. Journal of Electrical Engineering & Technology 2019, 14, 1035 -1043.
AMA StyleAbolfazl Arabpour, Mohammad Reza Besmi, Pouria Maghouli. Transmission Expansion and Reactive Power Planning Considering Wind Energy Investment Using A Linearized AC Model. Journal of Electrical Engineering & Technology. 2019; 14 (3):1035-1043.
Chicago/Turabian StyleAbolfazl Arabpour; Mohammad Reza Besmi; Pouria Maghouli. 2019. "Transmission Expansion and Reactive Power Planning Considering Wind Energy Investment Using A Linearized AC Model." Journal of Electrical Engineering & Technology 14, no. 3: 1035-1043.
This paper presents a model for a transmission expansion planning (TEP) problem in which both active and reactive power as well as voltage magnitude of buses are considered through linearized alternating current (AC) load-flow constraints. The proposed approach uses the special ordered set of Type 2 (SOS2) to obtain the optimal global solution of the approximated linear model of TEP, which is indeed a mixed-integer linear programming (MILP) problem. This linear binary model can be effectively solved by existing off-the-shelf solvers using the branch and bound algorithm. The solution obtained is guaranteed to be globally optimal, whereas most mixed-integer nonlinear programming (MINLP) solvers could not guarantee an obtainable global optimal solution for nonconvex problems. The accuracy level of the solutions for the approximated linearized model can be easily controlled by adjusting specific parameters to suitable values. Results obtained through a simulation study show the effectiveness and applicability of the linear model presented. As numerous simulation studies show, the proposed methodology is reliable and robust.
Abolfazl Arabpour; Mohammad Reza Besmi; Pouria Maghouli. Transmission Expansion Planning with Linearized AC Load Flow by Special Ordered Set Method. Journal of Energy Engineering 2018, 144, 04018008 .
AMA StyleAbolfazl Arabpour, Mohammad Reza Besmi, Pouria Maghouli. Transmission Expansion Planning with Linearized AC Load Flow by Special Ordered Set Method. Journal of Energy Engineering. 2018; 144 (2):04018008.
Chicago/Turabian StyleAbolfazl Arabpour; Mohammad Reza Besmi; Pouria Maghouli. 2018. "Transmission Expansion Planning with Linearized AC Load Flow by Special Ordered Set Method." Journal of Energy Engineering 144, no. 2: 04018008.
Development of renewable energies and DC loads have led microgrids toward the creation of DC networks. The predictions show that the hybrid microgrids will be used widely in the future. This article has studied the voltage stability in the presence of sources of energy storage in AC/DC hybrid networks. However, because the different dynamics of hybrid networks applying centralized and distributed controllers will be faced with different problems, in this study, a multi-agent control for the microgrid has been used. A new structure referred to here as an event-driven microgrid control management (EDMCM) has been developed to control the microgrid. This method increases response speed and accuracy of decision making. Hybrid Network Simulation results confirm the validity of the developed model.
Ahmadali Khatibzadeh; Mohammadreza Besmi; Aminollah Mahabadi; Mahmoud Reza Haghifam. Multi-Agent-Based Controller for Voltage Enhancement in AC/DC Hybrid Microgrid Using Energy Storages. Energies 2017, 10, 169 .
AMA StyleAhmadali Khatibzadeh, Mohammadreza Besmi, Aminollah Mahabadi, Mahmoud Reza Haghifam. Multi-Agent-Based Controller for Voltage Enhancement in AC/DC Hybrid Microgrid Using Energy Storages. Energies. 2017; 10 (2):169.
Chicago/Turabian StyleAhmadali Khatibzadeh; Mohammadreza Besmi; Aminollah Mahabadi; Mahmoud Reza Haghifam. 2017. "Multi-Agent-Based Controller for Voltage Enhancement in AC/DC Hybrid Microgrid Using Energy Storages." Energies 10, no. 2: 169.