Design of various Automatic Control Topologies for Load Frequency Control of Six Area Hybrid Multi-Generation Power System
Karnati Karthik1, P.Bharat Kumar2, P.Sujatha3
1Karnati Karthik*, M.Tech (Student), Dept of Electrical Engineering, JNTUA, Anantapur, AP, India.
2P. Bharat Kumar, Assistant Professor (Adhoc), Dept of Electrical Engineering, JNTUA, Anantapur, AP, India.
3P. Sujatha, Professor, Dept of Electrical Engineering, JNTUA, Anantapur, AP, India.
Manuscript received on November 14, 2019. | Revised Manuscript received on 23 November, 2019. | Manuscript published on December 10, 2019. | PP: 1922-1928 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7835129219/2019©BEIESP | DOI: 10.35940/ijitee.B7835.129219
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Abstract: The automatic load frequency control of six unequal areas hybrid model consist of thermal, reheat thermal plants, hydraulic governor system, nuclear, diesel, gas turbine plants. These generating units are represented from area one to area six. If any disturbance occurs in load results to variation of frequency and tie-line. When the generating area doesn’t meet load unit gives abnormal limits in response. This can be solved by the implementation of Proportional integral controller(PI), Artificial Neural Network controller(ANN), Adaptive Neuro Fuzzy Inference System controller (ANFIS).But still there is a chance to achieve better responses can be done by the proposed Genetic Algorithm (GA) based PI controller. In the MAT LAB environment hybrid model is developed. The Step varying input is applied that will leads to creating the disturbances and controlled by applying controller respectively. The evaluation of responses will be carried out by the control strategies of frequency responses and tie-lie power responses in all six areas hybrid model system. This work gives the information about the dynamic responses achieved by GA controller is more efficient than that of existing controllers and evaluated by MATLAB Simulink results.
Keywords: ALFC,PI,ANN,ANFIS,GA
Scope of the Article: Next Generation Internet & Web Architectures