Optimal control of electrical vehicle incorporated hybrid power system with second order fractional‐active disturbance rejection controller

2021 ◽  
Author(s):  
Sheikh Safiullah ◽  
Asadur Rahman ◽  
Shameem Ahmad Lone
Keyword(s):  
Optimal Control ◽  
Power System ◽  
Disturbance Rejection ◽  
Second Order ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Active Disturbance Rejection ◽  
Electrical Vehicle

scholarly journals A Disturbance Rejection Control Strategy of a Single Converter Hybrid Electrical System Integrating Battery Degradation

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2781
Author(s):  
Yue Zhou ◽  
Hussein Obeid ◽  
Salah Laghrouche ◽  
Mickael Hilairet ◽  
Abdesslem Djerdir
Keyword(s):  
Power System ◽  
Hybrid System ◽  
Control Strategy ◽  
Disturbance Rejection ◽  
Pass Filter ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Disturbance Rejection Control ◽  
Cubature Kalman Filter ◽  
Dc Bus

In order to improve the durability and economy of a hybrid power system composed of a battery and supercapacitors, a control strategy that can reduce fluctuations of the battery current is regarded as a significant tool to deal with this issue. This paper puts forwards a disturbance rejection control strategy for a hybrid power system taking into account the degradation of the battery. First, the degradation estimation of the battery is done by the model-driven method based on the degradation model and Cubature Kalman Filter (CKF). Considering the transient and sinusoidal disturbance from the load in such a hybrid system, it is indispensable to smooth the behavior of the battery current in order to ensure the lifespan of the battery. Moreover, the constraints for the hybrid system should be considered for safety purposes. In order to deal with these demands, a cascaded voltage control loop based on a super twisting controller and proportional integral controller with an anti-windup scheme is designed for regulating the DC bus voltage in an inner voltage loop and supercapacitors’ voltage in an outer voltage loop, respectively. The specific feature of the proposed control method is that it operates like a low-pass filter so as to reduce the oscillations on the DC bus.

scholarly journals A Wind Power and Load Prediction Based Frequency Control Approach for Wind-Diesel-Battery Hybrid Power System

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Chao Peng ◽  
Zhenzhen Zhang ◽  
Jia Wu
Keyword(s):  
Power System ◽  
Real Time ◽  
Wind Power ◽  
Disturbance Rejection ◽  
Frequency Control ◽  
Load Prediction ◽  
Control Module ◽  
Hybrid Power System ◽  
Control Approach ◽  
Hybrid Power

A frequency control approach based on wind power and load power prediction information is proposed for wind-diesel-battery hybrid power system (WDBHPS). To maintain the frequency stability by wind power and diesel generation as much as possible, a fuzzy control theory based wind and diesel power control module is designed according to wind power and load prediction information. To compensate frequency fluctuation in real time and enhance system disturbance rejection ability, a battery energy storage system real-time control module is designed based on ADRC (active disturbance rejection control). The simulation experiment results demonstrate that the proposed approach has a better disturbance rejection ability and frequency control performance compared with the traditional droop control approach.

Damping of Frequency Fluctuations of Hybrid Power System by Variable Deloaded Operation of PMSG Based Offshore Wind Farm

2019 ◽  
Vol 139 (4) ◽  
pp. 259-268
Author(s):  
Effat Jahan ◽  
Md. Rifat Hazari ◽  
Mohammad Abdul Mannan ◽  
Atsushi Umemura ◽  
Rion Takahashi ◽  
...  
Keyword(s):  
Power System ◽  
Wind Farm ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Frequency Fluctuations

MULTI AREA LOAD FREQUENCY CONTROL OF A HYBRID POWER SYSTEM WITH ADVANCED MACHINE LEARNING CONTROLLER: A CASE STUDY OF ANDHRA PRADESH

2018 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
SHAREEF SYED MAHABOOB ◽  
SURESH CH.V. ◽  
NAGARAJU S.SIVA ◽  
◽  
◽  
...  
Keyword(s):  
Machine Learning ◽  
Power System ◽  
Andhra Pradesh ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Load Frequency
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