Load frequency control by neural-network-based integral sliding mode for nonlinear power systems with wind turbines

2016 ◽  
Vol 173 ◽  
pp. 875-885 ◽  
Author(s):  
Dianwei Qian ◽  
Shiwen Tong ◽  
Hong Liu ◽  
Xiangjie Liu
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Bui Le Ngoc Minh ◽  
Van Van Huynh ◽  
Tam Minh Nguyen ◽  
Yao Wen Tsai

Most of the existing results for load frequency control of multi-area interconnected power systems can only be obtained when the norm of the aggregated uncertainties is bounded by a positive constant. This condition is difficult to achieve in real multi-area interconnected power systems. In this paper, a new load frequency control (LFC) for multi-area interconnected power systems is developed based on a decentralised adaptive double integral sliding mode control technique where the above limitation is eliminated. First, an adaptive gain tuning law is adopted to estimate the unknown upper bound of the aggregated uncertainties. Second, a double integral sliding surface based adaptive sliding mode controller is proposed to improve the transient performance of the closed loop system. Simulation results show that the proposed control law results in shortening the frequency’s transient response, avoiding the overshoot, rejecting disturbance better, maintaining required control quality in the wider operating range, and being more robust to uncertainties as compared to some existing control methods.


Author(s):  
Semaria Ruiz ◽  
Julian Patiño ◽  
Jairo Espinosa

<pre>The increasing use of renewable technologies such as wind turbines in power systems may require the contribution of these new sources into grid ancillary services, such as Load Frequency Control. Hence, this work dealt with the performance comparison of two traditional control structures, PI and <span>LQR</span>, for secondary regulation of Load Frequency Control with the participation of variable-speed wind turbines. For this purpose, the doubly-fed induction generator wind turbine was modeled with additional control loops for emulation of the inertial response of conventional machines for frequency regulation tasks. Performance of proposed strategies was verified through simulation in a benchmark adapted from the <span>WSCC</span> 3 machines 9-bus test system. Results showed overall superior performance for <span>LQR</span> controller, although requiring more strenuous control effort from conventional units than PI control.</pre>


2013 ◽  
Vol 28 (4) ◽  
pp. 4301-4309 ◽  
Author(s):  
Yang Mi ◽  
Yang Fu ◽  
Chengshan Wang ◽  
Peng Wang

2020 ◽  
Vol 14 (3) ◽  
pp. 470-480 ◽  
Author(s):  
Adrian E. Onyeka ◽  
Yan Xing-Gang ◽  
Zehui Mao ◽  
Bin Jiang ◽  
Qingling Zhang

2010 ◽  
Vol 80 (5) ◽  
pp. 514-527 ◽  
Author(s):  
K. Vrdoljak ◽  
N. Perić ◽  
I. Petrović

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