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Modeling and Analysis of Novel Multilevel Inverter Topology with Minimum Number of Switching Components 被引量:1
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作者 V.Thiyagarajan p.somasundaram 《Computer Modeling in Engineering & Sciences》 SCIE EI 2017年第4期461-473,共13页
This paper proposes a novel single phase symmetrical and asymmetrical type extendable multilevel inverter topology with minimum number of switches.The basic circuit of the proposed inverter topology consist of four dc... This paper proposes a novel single phase symmetrical and asymmetrical type extendable multilevel inverter topology with minimum number of switches.The basic circuit of the proposed inverter topology consist of four dc voltage sources and 10 main switches which synthesize 9-level output voltage during symmetrical operation and 17-level output voltage during asymmetrical operation.The comparison between the proposed topology with conventional and other existing inverter topologies is presented in this paper.The advantages of the proposed inverter topology include minimum switches,less harmonic distortion and minimum switching losses.The performance of the proposed multilevel inverter topology has been analyzed in both symmetrical and asymmetrical conditions.The simulation model is developed using MATLAB/SIMULINK software to verify the performance of the proposed inverter. 展开更多
关键词 MULTILEVEL INVERTER SYMMETRIC asymmetric THD on state switches
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Kautz Function Based Continuous-Time Model Predictive Controller for Load Frequency Control in a Multi-Area Power System
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作者 A.Parassuram p.somasundaram 《Computer Modeling in Engineering & Sciences》 SCIE EI 2018年第11期169-187,共19页
A continuous-time Model Predictive Controller was proposed using Kautz function in order to improve the performance of Load Frequency Control(LFC).A dynamic model of an interconnected power system was used for Model P... A continuous-time Model Predictive Controller was proposed using Kautz function in order to improve the performance of Load Frequency Control(LFC).A dynamic model of an interconnected power system was used for Model Predictive Controller(MPC)design.MPC predicts the future trajectory of the dynamic model by calculating the optimal closed loop feedback gain matrix.In this paper,the optimal closed loop feedback gain matrix was calculated using Kautz function.Being an Orthonormal Basis Function(OBF),Kautz function has an advantage of solving complex pole-based nonlinear system.Genetic Algorithm(GA)was applied to optimally tune the Kautz function-based MPC.A constraint based on phase plane analysis was implemented with the cost function in order to improve the robustness of the Kautz function-based MPC.The proposed method was simulated with three area interconnected power system and the efficiency of the proposed method was measured and exhibited by comparing with conventional Proportional and Integral(PI)controller and Linear Quadratic Regulation(LQR). 展开更多
关键词 Load frequency control model PREDICTIVE CONTROLLER orthonormal basis FUNCTION kautz FUNCTION phase plane analysis linear QUADRATIC REGULATOR proportional and integral CONTROLLER genetic algorithm.
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