Research On Load Frequency Control Of Small-Disturbance Power System Based On Intelligent Algorithm

In this dissertation work,single and two-area systems are used in power system.There is a controller that was first demonstrated by Professor Han,a recent methodology that was last developed by Gao in 2009 called Active disturbance Rejection Control(ADRC)methodology which is the focus of our research.The addition and comparison with other controllers are accompanied by improved optimization methods.The following is a detailed presentation of the work done.At first,there are many problems of load frequency control,in an integrated power system,the uncertainty in the load power demand in both frequency deviation and link line It has the primary task of exchanging energy through a single zone system.Hence,the objectives of the LFC are to reduce transient changes to region frequency and link line energy transmission,and to maintain it in a steady state.Moreover,external perturbations and uncertainties in the power system model and parameters cause a major problem for the design of the LFC controller,so this thesis describes a comparative consideration of load frequency control(LFC)based on ADRC as operational.The control strategy,which requires little information from the factory model and is robust against disturbances and uncertainties,particle mobilization optimization(PSO),and bacterial search optimization(BFO)is used to tune the PID controller-based LFC to obtain optimal values,taking into account the power of the single-region system.The simulation results show that ADRC can get better performance than that of PID tuned by BFO and PSO in terms of frequency deviation and settling time.Secondly,in this research,ADRC was modified by gravity search algorithm and particle swarming optimization technique to determine the optimum value of parameters in loading frequency control of a single-zone power system.A single nonreheating thermal was considered to design the ADRC controller for PSO and GSA tuning.Performance compares ADRC-GSA controllers,ADRC-PSO controllers and the classic ADRC controller.The simulation results show that the ADRC approach using the GSA algorithm provides better overshoot and lower settling time compared to ADRC and ADRC-PSO controller.Thirdly,many problems,such as mismatch of load generation,exist within electrical power systems.As a result of load changes,the network experiences a frequency deviation from its desired values.This change could affect the operation and stability of the system,which could lead to machine damage or network collapse.To solve this problem,load frequency control(LFC)has two goals:to maintain frequency at specified values and to maintain power exchange between transmission lines.In the present study,active disturbance rejection control(ADRC)was borrowed from control theory and incorporated into the LFC,and the proposed method,applied in a two-zone power system implemented in a MATLAB/SIMULINK environment,proved to be very effective in comparison to fuzzy logic.Then,due to the limitation of damping,under critical and dynamically varying loading conditions,the RES penetrating electric power system is a complex nonlinear system that systematically causes fundamental differences in the power and active frequency of the connecting line.The generation and demand equilibrium point in a power system moves as a result of an emergency situation,making it difficult to reestablish an acceptable equilibrium point using common control techniques.The exciting capabilities of CES combined with advanced control methods provide a noteworthy solution to improve network damping and enhance frequency regulation.A gravity search algorithm(GSA)is used in this work to improve the tuning of the active disturbance rejection control(ADRC)regulator of the LFC for a two-zone hybrid system comprising a photovoltaic(PV)system,a non-reheating thermoelectric system,and CES.Finally,to efficiently adjust the controller settings,the GSA-ADRC method builds and fixes an objective function that depends on the time domain.Based on stability times and other indices,the proposed GSA-ADRC controller is compared with the Firefly Algorithm-PI and Genetic Algorithm-PI within a test system configuration with and without CES.The results of our simulations demonstrate that the proposed GSA-ADRC controller,together with CES,outperforms the specified modular PI controllers.