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Hamid Rezaie,M.H. Kazemi-Rahbar,Behrooz Vahidi,Hasan Rastegar 한국CDE학회 2019 Journal of computational design and engineering Vol.6 No.3
This paper presents a new optimization technique developed based on harmony search algorithm (HSA), called chaotic improved harmony search algorithm (CIHSA). In the proposed algorithm, the original HSA is improved using several innovative modifications in the optimization procedure such as using chaotic patterns instead of uniform distribution to generate random numbers, dynamically tuning the algorithm parameters, and employing virtual harmony memories. Also, a novel type of local optimization is intro-duced and employed in the algorithm procedure. Applying these modifications to HSA has resulted in enhancing the robustness, accuracy and search efficiency of the algorithm, and significantly reducing the iterations number required to achieve the optimal solution. To validate the effectiveness of CIHSA, it is used to solve the combined economic emission dispatch (CEED) problem, which practically is a com-plex high-dimensional non-convex optimization task with several equality and inequality constraints. Six test systems having 6, 10, 13, 14, 40, and 140 generators are investigated in this study, and the valve-point loading effects, ramp rate limits and power transmission losses are also taken into account. The results obtained by CIHSA are compared with the results reported in a large number of other research works. Furthermore, the statistical data regarding the CIHSA performance in all test systems is presented. The numerical and statistical results confirm the high quality of the solutions found by CIHSA and its superiority compared to other existing techniques employed in solving CEED problems.
Sajad Saberi,Behrooz Rezaie 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.7
Direct predictive speed control (DPSC) using a finite control set MPC (FCS-MPC) is a popular control method for multi-level converters. In FCS-MPC-based designs, there are two key issues. First, when the number of switching states increases, the computational burden dramatically increases, which makes real-time implementation impractical when compared to traditional modulation methods such as field-oriented control (FOC). The issue of stability is another key concern with DPSC. In the present study, the speed of a permanent magnet synchronous motor (PMSM) fed by a three-level neutral-point clamped (3L-NPC) convertor is controlled using a computationally efficient DPSC technique with hexagon candidate region (HCR). Back-stepping is also used in the proposed method to generate the q-axis current reference and continuous d–q axis control voltage for the DPSC to guarantee the stability of the closed loop system using the Lyapunov stability theorem. Furthermore, in HCR, the continuous control law checks the voltage vectors while only passing the vectors that do not jeopardize the stability of the system. As a result, stability is taken into account and also the number of voltage candidates for FCS-MPC decreases significantly. This in turn leads to reductions in the computational burden. The system is simulated in MATLAB/Simulink to validate the efficiency of the proposed method.