By Xiaolin Hu, Yousheng Xia, Yunong Zhang, Dongbin Zhao
The quantity LNCS 9377 constitutes the refereed complaints of the twelfth foreign Symposium on Neural Networks, ISNN 2015, held in jeju, South Korea on October 2015. The fifty five revised complete papers offered have been rigorously reviewed and chosen from ninety seven submissions. those papers conceal many themes of neural network-related study together with clever keep watch over, neurodynamic research, memristive neurodynamics, machine imaginative and prescient, sign processing, computer studying, and optimization.
Read Online or Download Advances in Neural Networks – ISNN 2015: 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15–18, 2015, Proceedings PDF
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Additional info for Advances in Neural Networks – ISNN 2015: 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15–18, 2015, Proceedings
1 Introduction In recent years, three-phase pulse width modulation (PWM) voltage source rectiﬁer has been widely used in industrial applications such as uninterruptible power supply systems, static synchronous compensator, active power ﬁlter, and renewable energies. Their attractive features are low harmonic distortion of the utility currents, bi-directional power ﬂow, and controllable power factor . Various control strategies of three-phase PWM voltage source rectiﬁer have been proposed during the past few years, including the phase and amplitude control , direct power control (DPC) , model predictive control , and voltage-oriented control (VOC)  methods.
Appl. 22, 279–286 (2013) 5. : Probabilistic Optimal Power Flow for Power Systems Considering Wind Uncertainty and Load Correlation. Neurocomputing 148, 240–247 (2015) 6. : Automatic Generation Control of an Organic Rankine Cycle Solar-Thermal/Wind-Diesel Hybrid Energy System. Energy Technology 2, 721–731 (2014) 7. : Robust Power System Control. Springer, New York (2009) 8. : Adaptive Neural Network Tracking Control for Manipulators with Uncertain Kinematics, Dynamics and Actuator Model. Automatica 45, 2312–2318 (2009) 9.
4 Simulation Results Consider a two-area interconnected power system. Each control area has a 400 MVA-scale conventional generating unit with GRC in Fig. 1 and a 400 MVA-scale wind turbine in Fig. 2. The parameters are given in Tables 1 and 2. In addition, Xm is the magnetizing reactance. The integral gains are selected as KE1=KE2=1. 2]T. 1]T. The RBF NNs have 7-8-1 structures. 2]T. All the centers of the four networks take random numbers between -1 and 1. 001. In order to verify the effectiveness of the proposed control method, ∆PL1 =∆PL2 =1% pu and ∆Tm1 =∆Tm2 =1% pu are applied to the system at t = 5s simultaneously.