scholarly journals Robust load frequency control for networked power system with renewable energy via fractional‐order global sliding mode control

2021 ◽  
Author(s):  
Xinxin Lv ◽  
Yonghui Sun ◽  
Wenqiang Hu ◽  
Venkata Dinavahi
Keyword(s):  
Renewable Energy ◽  
Sliding Mode Control ◽  
Power System ◽  
Fractional Order ◽  
Sliding Mode ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Mode Control ◽  
Load Frequency ◽  
Global Sliding Mode Control

Robust H∞ load frequency control of multi-area power system with time delay: a sliding mode control approach

2018 ◽  
Vol 5 (2) ◽  
pp. 610-617 ◽  
Author(s):  
Yonghui Sun ◽  
Yingxuan Wang ◽  
Zhinong Wei ◽  
Guoqiang Sun ◽  
Xiaopeng Wu
Keyword(s):  
Time Delay ◽  
Sliding Mode Control ◽  
Power System ◽  
Sliding Mode ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Control Approach ◽  
Mode Control ◽  
Load Frequency ◽  
System With Time Delay

scholarly journals Load Frequency Control for Multi-Area Power Plants with Integrated Wind Resources

2021 ◽  
Vol 11 (7) ◽  
pp. 3051
Author(s):  
Van Van Huynh ◽  
Bui Le Ngoc Minh ◽  
Emmanuel Nduka Amaefule ◽  
Anh-Tuan Tran ◽  
Phong Thanh Tran ◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Power System ◽  
Sliding Mode ◽  
Frequency Control ◽  
Time Derivative ◽  
State Observer ◽  
Second Order ◽  
Load Frequency Control ◽  
Mode Control ◽  
Load Frequency

To provide a more practical method of controlling the frequency and tie-line power flow of a multi-area interconnected power system (MAIPS), a state observer based on sliding mode control (SOboSMC) acting under a second-order time derivative is proposed. The proposed design is used to study load frequency control against load disturbance, matched and mismatched uncertainty and parameter measurement difficulties of power systems that exist in the modern power plant, such as multi-area systems integrated with wind plants. Firstly, the state observer is designed to optimally estimate system state variables. The estimated states are applied to construct the model of the MAIPS. Secondly, a SOboSMC is designed with an integral switching surface acting on the second-order time derivative to forcefully drive the dynamic errors to zero and eliminate chattering, which can occur in the first-order approach to sliding mode control. In addition, the stability of the total power system is demonstrated with the Lyapunov stability theory based on a new linear matrix inequality (LMI) technique. To extend the validation of the proposed design control for practical purposes, it was tested in a New England system with 39 bus power against random load disturbances. The simulation results confirm the superiority of the proposed SOboSMC over other recent controllers with respect to overshoot and settling time.

scholarly journals The Bees Algorithm Tuned Sliding Mode Control for Load Frequency Control in Two-Area Power System

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5701
Author(s):  
Mokhtar Shouran ◽  
Fatih Anayi ◽  
Michael Packianather
Keyword(s):  
Sliding Mode Control ◽  
Power System ◽  
Sliding Mode ◽  
Frequency Control ◽  
Electrical Power ◽  
Load Frequency Control ◽  
Bees Algorithm ◽  
Electrical Power System ◽  
Mode Control ◽  
Load Frequency

This paper proposes a design of Sliding Mode Control (SMC) for Load Frequency Control (LFC) in a two-area electrical power system. The mathematical model design of the SMC is derived based on the parameters of the investigated system. In order to achieve the optimal use of the proposed controller, an optimisation tool called the Bees Algorithm (BA) is suggested in this work to tune the parameters of the SMC. The dynamic performance of the power system with SMC employed for LFC is studied by applying a load disturbance of 0.2 pu in area one. To validate the supremacy of the proposed controller, the results are compared with those of recently published works based on Fuzzy Logic Control (FLC) tuned by Teaching–Learning-Based Optimisation (TLBO) algorithm and the traditional PID optimised by Lozi map-based Chaotic Optimisation Algorithm (LCOA). Furthermore, the robustness of SMC-based BA is examined against parametric uncertainties of the electrical power system by simultaneous changes in certain parameters of the testbed system with 40% of their nominal values. Simulation results prove the superiority and the robustness of the proposed SMC as an LFC system for the investigated power system.

scholarly journals Adaptive Event-Triggered Load Frequency Control of Multi-Area Power Systems Under Networked Environment via Sliding Mode Control

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 86585-86594 ◽  
Author(s):  
Xinxin Lv ◽  
Yonghui Sun ◽  
Yi Wang ◽  
Venkata Dinavahi
Keyword(s):  
Sliding Mode Control ◽  
Power Systems ◽  
Sliding Mode ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Mode Control ◽  
Load Frequency ◽  
Event Triggered

Load–Frequency Control Using Multi-objective Genetic Algorithm and Hybrid Sliding Mode Control-Based SMES

2017 ◽  
Vol 20 (1) ◽  
pp. 280-294 ◽  
Author(s):  
Mehrshad Khosraviani ◽  
Mohsen Jahanshahi ◽  
Mohsen Farahani ◽  
Amir Reza Zare Bidaki
Keyword(s):  
Genetic Algorithm ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Multi Objective ◽  
Mode Control ◽  
Load Frequency ◽  
Multi Objective Genetic Algorithm

scholarly journals New Second-Order Sliding Mode Control Design for Load Frequency Control of a Power System

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6509
Author(s):  
Van Van Huynh ◽  
Phong Thanh Tran ◽  
Bui Le Ngoc Minh ◽  
Anh Tuan Tran ◽  
Dao Huy Tuan ◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Frequency Control ◽  
Second Order ◽  
Load Frequency Control ◽  
Power Network ◽  
Parameter Uncertainties ◽  
Mode Control ◽  
Load Frequency ◽  
Chattering Phenomenon

The implementation of the sliding mode control (SMC) for load frequency control of power networks becomes difficult due to the chattering phenomenon of high-frequency switching. This chattering problem in SMC is extremely dangerous for actuators used in power systems. In this paper, a continuous control strategy by combining a second-order mode and integral siding surface is proposed as a possible solution to this problem. The proposed second-order integral sliding mode control (SOISMC) law not only rejects chattering phenomenon in control input, but also guarantees the robustness of the multi-area power network, which has an effect on parametric uncertainties such as the load variations and the matched or mismatched parameter uncertainties. Moreover, the reporting of the simulation indicates that the proposed controller upholds the quality requirement by controlling with operating conditions in the larger range, rejects disturbance, reduces the transient response of frequency, eliminates the overshoot problem, and can better address load uncertainties compared to several previous control methods. The simulation results also show that the proposed SOISMC can be used for practical multi-area power network to lessen high parameter uncertainties and load disturbances.

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