Performance Comparison of Load Frequency Control for Power System by ADRC Approach and PID Controller

Load Frequency Control (LFC) is the main problem of power networks which outcomes because of mismatch between real power generation and consumption as the power consumption changes every period. therefore, the frequency of the power system may not be at rated value resulting in power quality problem...

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Veröffentlicht in:Journal of physics. Conference series 2020-03, Vol.1510 (1), p.12007
Hauptverfasser: Abdalla, Mohammed. A., Yang, Guotian, Huang, Congzhi
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Yang, Guotian
Huang, Congzhi
description Load Frequency Control (LFC) is the main problem of power networks which outcomes because of mismatch between real power generation and consumption as the power consumption changes every period. therefore, the frequency of the power system may not be at rated value resulting in power quality problems. Hence, the aim of LFC is to reduce the transient changes of area frequency and tie-line power transfer maintaining them at steady state. Moreover, the external disturbances and uncertainty factors, as well as parameters of the power system, causes a big problem for controller design in LFC. Therefore, this research describes a comparative consideration for Active Disturbance Rejection Control (ADRC) based LFC as an operational control strategy, which requires few information from the plant model and being robust against disturbances and uncertainties. Two intelligent controllers Particle Swarm Optimization (PSOA) Algorithm, Bacterial Foraging Optimization (BFO) mechanism are used for tuning Proportional Integral Derivative (PID) controller based LFC to acquire optimal values, taking into consideration single-area power system. The simulation results exhibit that the ADRC can obtain better performance than PID tuned by BFO and PSO in terms of frequency deviation and settling time.
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Therefore, this research describes a comparative consideration for Active Disturbance Rejection Control (ADRC) based LFC as an operational control strategy, which requires few information from the plant model and being robust against disturbances and uncertainties. Two intelligent controllers Particle Swarm Optimization (PSOA) Algorithm, Bacterial Foraging Optimization (BFO) mechanism are used for tuning Proportional Integral Derivative (PID) controller based LFC to acquire optimal values, taking into consideration single-area power system. 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subjects Active control
Algorithms
Control systems design
Controllers
Disturbances
Frequency control
Frequency deviation
Particle swarm optimization
Physics
Power consumption
Power management
Power transfer
Proportional integral derivative
Uncertainty
title Performance Comparison of Load Frequency Control for Power System by ADRC Approach and PID Controller
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