Abstract
Electricity demand continues to rise on a daily basis. The most difficult task is ensuring that customers have access to reliable, high-quality electricity regardless of the weather. Automatic generation control (AGC) accomplishes this by keeping the target output power and frequency constant despite load fluctuations. This paper presents a hybrid PID-fuzzy controller for optimal automatic generation control in a two-area interconnected power system. A comparative analysis of the proposed controller was performed with the PID controller. The parameters of the both controllers were developed by simulated annealing (SA) techniques in order to obtain the best dynamic performance. MATLAB Simulink software was used to simulate the models. The results of the simulation for the two-area power system based on simulated annealing using the hybrid PID–fuzzy controller showed superior performance in comparison to a conventional PID controller.
Highlights
Based on the literature review mentioned above, we found that most studies concentrated on generation control in power systems such as thermal, hydro, and gas according to the number of areas connected in the system, which comprised large power plants
We considered the optimal automatic generation control for a two-area interconnected power system, and investigated step load disturbances
To dampen system frequency and tie-line power exchange variations, we proposed effective hybrid proportional Integral derivative (PID)–fuzzy
Summary
The gravity search technique was designed in [21,22] to increase the reaction to a deviation in frequency between multi-area power systems This algorithm is based on certain advanced controllers such as ISE and PI.The authors of [23,24] compared the implementation of a PI controller with a fuzzy logic controller in two and three areas with diverse sources for each area. The contribution of this paper is briefly summarized as the description of the behavior of the frequency and tie-line power flow fluctuations in the presence of step load demand perturbation, and we performed a comparative study of two controllers with two cases of disturbances in term of settling time, peak amplitude, and peak time
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