scholarly journals Chaos Suppressing in a Three-Buses Power System Using an Adaptive Synergetic Control Method

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1532
Author(s):  
Abdul-Basset A. Al-Hussein ◽  
Fadhil Rahma Tahir ◽  
Adel Ouannas ◽  
Tian-Chuan Sun ◽  
Hadi Jahanshahi ◽  
...  
Keyword(s):  
Power System ◽  
Control Method ◽  
Chaotic Oscillation ◽  
Stability Margin ◽  
Critical Issue ◽  
Storage Device ◽  
Power Spectral ◽  
Synergetic Control ◽  
Bus Voltage ◽  
The Stability

The stability of the power system is a critical issue for the reliable and safe operation of the network. Where maintaining voltage levels constant or within the prescribed permissible limit and robustness against disturbances, while the power system is working near its stability margin due to growth of power consumption, nowadays are great challenges. Chaotic oscillation in power network may lead to system bus voltage collapse, angle divergence and possibly both phenomena simultaneously. These cases directly affect the service quality of the power system. The paper presents the problem of chaos suppressing in a three-bus power system of a six-dimensional model. The dynamics of the power system are investigated through examining the nonlinear system’s behavior analysis tools, such as power spectral density, bicoherence, Poincaré map and the Lyapunov exponents. The chaotic oscillation of the power system is suppressed through a Lyapunov-based adaptive algorithm with synergetic control theory. A nonlinear evolution constraint is used for achieving better transient responses and fast dynamics. The dynamics of the energy storage device and STATCOM compensator are employed within the control loop to restore the synchronous operation and maintain the rated voltage, respectively. Numerical simulations are conducted to verify the effectiveness and robustness of the proposed control algorithm. The stabilization of the chaotic power system dynamics and the fast recovery to the normal state are characterized by a smooth and free-of-chattering controller output.

Chaos control in six-dimensional power system via adaptive synergetic approach

2020 ◽  
Vol 26 (9-10) ◽  
pp. 790-800
Author(s):  
Jiangbin Wang ◽  
Ling Liu ◽  
Chongxin Liu ◽  
Ziwei Zhu ◽  
Yan Wang
Keyword(s):  
Power System ◽  
Control Method ◽  
Controller Design ◽  
Sliding Mode ◽  
Chaotic Oscillation ◽  
Adaptive Controller ◽  
Storage Device ◽  
Control Scheme ◽  
Synergetic Control ◽  
Complex Derivative

In view that researchers only control some low-dimensional chaotic power system models, this paper aims at controlling chaos in a complex six-dimensional power system model. By introducing the dynamic model of an energy storage device and static synchronous compensator, an adaptive synergetic control scheme is proposed for the model to suppress its chaotic oscillation. Since the designed controller will inevitably contain complex derivative terms of a controlled power system according to the conventional controller design process, a novel adaptive synergetic control scheme is proposed. The presented adaptive controller for the chaotic power system can completely suppress its chaotic oscillation. The prominent advantages of the proposed control scheme are that it can avoid complex derivative terms of the controlled system and can avoid chattering as in the sliding mode control method. Simulations validate the effectiveness and robustness of the proposed scheme.

scholarly journals Intelligent stability margin improvement using series and shunt controllers

2021 ◽  
Vol 10 (4) ◽  
pp. 281
Author(s):  
Mahdi Karami ◽  
Norman Mariun ◽  
Mohd Amran Mohd Radzi ◽  
Gohar Varamini
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Flow ◽  
Stability Margin ◽  
Alternate Current ◽  
Critical Issue ◽  
Number Representation ◽  
Facts Devices ◽  
Facts Controllers ◽  
The Stability

Electric market always prefers to use full capacity of existing power system to control the costs. Flexible alternate current transmission system (FACTS) devices introduced by Electric Power Research Institute (EPRI) to increase the usable capacity of power system. Placement of FACTS controllers in power system is a critical issue to reach their maximum advantages. This article focused on the application of FACTS devices to increase the stability of power system using artificial intelligence. Five types of series and shunt FACTS controllers are considered in this study. Continuation power flow (CPF) analysis used to calculate the collapse point of power systems. Controlling parameters of FACTS devices including their locations are determined using real number representation based genetic algorithm (RNRGA) in order to improve the secure margin of operating condition of power system. The 14 and 118 buses IEEE standard test systems are utilized to verify the recommended method. The achieved results manifestly proved the effectiveness of proposed intelligent method to increase the stability of power system by determining the optimum location and size of each type of FACTS devices.

Fixed-Time Synergetic Control for a Seven-Dimensional Chaotic Power System Model

2019 ◽  
Vol 29 (10) ◽  
pp. 1950130 ◽  
Author(s):  
Jiangbin Wang ◽  
Ling Liu ◽  
Chongxin Liu ◽  
Jian Liu
Keyword(s):  
Power Systems ◽  
Power System ◽  
Control Method ◽  
Controller Design ◽  
Chaotic Oscillation ◽  
Fixed Time ◽  
System Model ◽  
Storage Device ◽  
Chaotic Oscillations ◽  
Power System Model

Differing from the existing literature that only focus on controlling some simple chaotic power system models, this paper aims to control chaotic oscillations in complex seven-dimensional power system model. First, based on fixed-time stability theory, a novel fixed-time synergetic controller is proposed to make its macro variable enter into an invariant manifold within a fixed-time upper bound by a constant, depending only on control parameters that can be changed by the designer and calculated theoretically. The presented controller can eliminate chattering and achieve exact convergence of the macro variable. Then, the proposed control method is applied to suppress chaos in the seven-dimensional power system model. Based on the important idea that chaotic oscillation in a power system is caused by its excess energy, a model of energy storage device controller is employed in the controller design process to absorb active power from the entire controlled system. Finally, several simulation examples are given to confirm the effectiveness, the superiority and the robustness of the proposed control scheme. Compared with the existing literature, a relatively general method of suppressing chaotic oscillations in power systems is developed.

scholarly journals Chaotic Power System Stabilization Based on Novel Incommensurate Fractional-Order Linear Augmentation Controller

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Abdul-Basset A. Al-Hussein ◽  
Fadhil Rahma Tahir ◽  
Karthikeyan Rajagopal
Keyword(s):  
Power System ◽  
Fractional Order ◽  
Chaotic Oscillation ◽  
Lyapunov Theory ◽  
Order Linear ◽  
Power Spectral ◽  
Control Scheme ◽  
Single Machine Infinite Bus ◽  
The Stability ◽  
Parameter Values

The nonlinear dynamics of an incommensurate fractional-order single-machine infinite-bus (SMIB) power system benchmark model are explored and studied by means of modern nonlinear analysis theories, such as bifurcation, chaos, power spectral density (PSD), and bicoherence methods. The effect of incommensurate order derivatives on power system dynamics is presented. The study reveals that the power system undergoes interesting dynamics such as periodic motion, chaotic oscillations, and multistability whenever the system parameter values fall into particular ranges. A new fractional-order linear augmentation-based control scheme is applied to damp out the power system’s chaotic oscillation, change the stability of the coexisting states, and drive the system from multistability to monostability. The stability of the proposed control system is derived using Lyapunov theory. Simulation results confirmed the effectiveness and robustness of the proposed control scheme in damping power system oscillations and achieving good overall performance. The results in this paper will give a better understanding of the nonlinear dynamic behaviors of the incommensurate fractional-order SMIB power system.

A New Iterative Identification and Control Method of Closed-Loop Power System Based on Ambient Signals

2015 ◽  
Vol 798 ◽  
pp. 261-265
Author(s):  
Miao Yu ◽  
Chao Lu
Keyword(s):  
Power System ◽  
Closed Loop ◽  
Control Method ◽  
Controller Design ◽  
Design Method ◽  
Stability Margin ◽  
System Stability ◽  
Iterative Identification ◽  
Effective Performance ◽  
And Control

Identification and control are important problems of power system based on ambient signals. In order to avoid the model error influence of the controller design, a new iterative identification and control method is proposed in this paper. This method can solve model set and controller design of closed-loop power system. First, an uncertain model of power system is established. Then, according to the stability margin of power system, stability theorem is put forward. And then controller design method and the whole algorithm procedure are given. Simulation results show the effective performance of the proposed method based on the four-machine-two-region system.

Study on Grid-Injected System with Regenerative Braking Energy for Subway

2012 ◽  
Vol 516-517 ◽  
pp. 1437-1442
Author(s):  
Qiu Rui Zhang ◽  
Bao Ming Ge ◽  
Da Qiang Bi
Keyword(s):  
Temperature Rise ◽  
Control Strategy ◽  
Control Method ◽  
Design Procedure ◽  
Energy Utilization ◽  
Regenerative Braking ◽  
Resistance Heating ◽  
Urban Rail ◽  
Bus Voltage ◽  
The Stability

At present, the rate of energy utilization is low for the transit regenerative braking on urban rail; most of the energy is consumed by the resistance heating. In this paper, a regenerative braking energy injected-grid device is designed, which makes use of regenerative braking energy and effectively reduce the temperature rise caused by the resistance in the tunnel. The paper describes the composition and the design procedure of regenerative braking energy injected-grid device and presents a control strategy of device. The simulation of the single train model verifies that the stability of DC-bus voltage can be maintained and more power can be feedback to the grid by the proposed device when the train is braking. The feasibility and effectiveness of the proposed control method are validated by the experimental results.

Control for Dc-Bus Voltage Using Grid Voltage Feed-Forward and Crowbar Circuit

2013 ◽  
Vol 448-453 ◽  
pp. 1727-1731
Author(s):  
Xi Yun Yang ◽  
Li Xia Li ◽  
Ya Min Zhang
Keyword(s):  
Power System ◽  
Wind Power ◽  
Output Power ◽  
Control Method ◽  
Direct Drive ◽  
Grid Voltage ◽  
Wind Power System ◽  
Dc Bus ◽  
Bus Voltage ◽  
Grid Side

The DC bus voltage is key variable for the operation of converter system in a wind power system. When grid voltage drops, a control of the DC bus voltage is needed to keep the smoothness of DC bus voltage for avoiding generator cutting off grid. A combined control method based on the grid voltage information feedforward with a crowbar circuit is proposed for a direct-drive wind power system in the paper. The unbalanced energy of the DC bus can be unleashed by the crowbar circuit during the dropping of grid voltage. At the same time, the output power of motor-side converter can be controlled to decrease according to the grid-side voltage information, and the mechanical speed of wind turbine and generator can be suppressed by the pitch angle regulation when the output power reduces. Thus, the DC-bus voltage can keep smooth. Results based on Matlab/Simulink simulation shows that this method not only improves dynamic response performance of DC bus voltages control, but also reduces the action time of crowbar circuit. It is benefit to the ability of the wind power system riding through the grid fault.

Chaos suppression for a four-dimensional fundamental power system model using adaptive feedback control

2016 ◽  
Vol 39 (2) ◽  
pp. 194-207 ◽  
Author(s):  
Junkang Ni ◽  
Ling Liu ◽  
Chongxin Liu ◽  
Xiaoyu Hu ◽  
Aoan Li
Keyword(s):  
Power System ◽  
Control Method ◽  
External Disturbance ◽  
Chaotic Oscillation ◽  
Period Doubling ◽  
Feedback Controller ◽  
System Control ◽  
Adaptive Feedback ◽  
Power System Control ◽  
Chaos Suppression

In this paper, the problem of chaos suppression for a four-dimensional fundamental power system (FDFPS) model is considered via the design of a novel adaptive feedback controller. The period doubling bifurcation route to chaos and some dynamical behaviors of the power system are investigated in detail. Based on stability analysis using an energy-type Lyapunov function, a single adaptive feedback controller is derived to suppress chaotic oscillation in four-dimensional fundamental power systems. The proposed controller simplifies the design of power system stabilizer and provides an easy way to implement in practical power system control. In addition, effectiveness of damping out chaotic oscillation and robustness against parameter uncertainty and external disturbance also make the proposed control scheme applicable for industrial application. Simulation results illustrate the effectiveness, the robustness and the superiority of proposed control method.

scholarly journals Enhancement of Power System Transient Stability By Fractional Order Controlled STATCOM Tuned By PSO

2018 ◽  
Vol 7 (4.24) ◽  
pp. 163
Author(s):  
R.S. Srinivas ◽  
P.V.Ramana Rao
Keyword(s):  
Power System ◽  
Fractional Order ◽  
Transient Stability ◽  
Stability Margin ◽  
Computational Effort ◽  
Static Synchronous Compensator ◽  
Facts Controllers ◽  
Angle Stability ◽  
Rotor Angle Stability ◽  
The Stability

This paper discusses the application of Fractional order PI controlled Static synchronous compensator for improvement rotor angle stability of inter connected power system. FACTS Controllers plays important role in enhancing the power system stability.Besides improving the stability margin of the power system it also aids the damping of inter area power oscillations. In the present work STATCOM is connected in multimachine power system .The dynamic response of the STATCOM is controlled by using fractional order controllers.The controller gains of the fractional controller are tuned by using PSO algorithm.It gives acceptable solutions to continuous non-linear systems with less computational effort. The performance of the proposed controller has been compared with integer order PI controllers at different locations of fault. In this paper a 3 machine 9 bus WSSC test power system is considered and simulated in MATLAB/SIMULINK.

scholarly journals Command Filtered Adaptive Fuzzy Neural Network Backstepping Control for Marine Power System

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Xin Zhang ◽  
Longhua Mu
Keyword(s):  
Neural Network ◽  
Power System ◽  
Fuzzy Neural Network ◽  
Control Method ◽  
Chaotic Oscillation ◽  
Lyapunov Stability Theory ◽  
Backstepping Control ◽  
Adaptive Fuzzy Neural Network ◽  
Adaptive Fuzzy ◽  
Fuzzy Neural

In order to retrain chaotic oscillation of marine power system which is excited by periodic electromagnetism perturbation, a novel command-filtered adaptive fuzzy neural network backstepping control method is designed. First, the mathematical model of marine power system is established based on the two parallel nonlinear model. Then, main results of command-filtered adaptive fuzzy neural network backstepping control law are given. And the Lyapunov stability theory is applied to prove that the system can remain closed-loop asymptotically stable with this controller. Finally, simulation results indicate that the designed controller can suppress chaotic oscillation with fast convergence speed that makes the system return to the equilibrium point quickly; meanwhile, the parameter which induces chaotic oscillation can also be discriminated.

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