Improved Particle Swarm Optimization Algorithm Assisted AGC in Interconnected Power System
Kajal Karna1, G. Veeranna2

1Kajal Karna, Department of Electrical and Electronics Engineering, S.R.K.R. Engineering College, Bhimavaram (Andhra Pradesh), India.
2G. Veeranna, Department of Electrical and Electronics Engineering, S.R.K.R Engineering College, Bhimavaram (Andhra Pradesh), India.
Manuscript received on 11 May 2019 | Revised Manuscript received on 05 June 2019 | Manuscript Published on 15 June 2019 | PP: 118-123 | Volume-8 Issue-1S3 June 2019 | Retrieval Number: A10220681S319/2019©BEIESP
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Abstract: This paper allocates load frequency control in a two area interconnected power system using PID controller and different optimization techniques. Due to load deviation in any of two area or both area, the frequency of system gets affected which may cause serious problem in power system so we need load frequency control in order to balance the nominal value of frequency and tie line power interchange. Teaching learning-based-optimization (TLBO), harmony search algorithm (HS), sine-cosine algorithm (SCA) and improved particle swarm optimization (IPSO), the four optimization techniques are employed in this paper for tuning PID controller. IPSO is proposed algorithm here and compared with rest three techniques. Furthermore, the performance analysis is done with cost function integral square error (ISE) considering 1% step load change in either one area at a time. The maximum overshoot, maximum undershoot and settling time period are observed from simulation results. It is found that IPSO manifested as the best optimization techniques and has shown good performance during transient period with less overshooting and settling time period. By using MATLAB/SIMULATION, we get all the results and it is presented in this paper.
Keywords: Automatic Load Frequency Control (ALFC), Area Error Control (ACE), Interconnected Power System, TLBO, HS, SCA and IPSO.
Scope of the Article: Waveform Optimization for Wireless Power Transfer