Abstract
In this article, Load Frequency Control (LFC) of three area unequal interconnected thermal, wind and Hydro power generating units has been developed with Proportional-Integral (PI) controller under MATLAB/SIMULINK environment. Further, the PI controller gains values that optimized using trial and error method with two different objective functions, namely the Integral Time Square Error (ITSE) and the Integral Time Absolute Error (ITAE). The performance of ITAE objective function based PI controller is compared with the ITSE objective function optimized PI controller. Analysis reveals that the ITSE optimized controller gives more superior performance than ITAE based controller during one percent Step Load Perturbation (1% SLP) in area 1 (thermal area). In addition, Proportional–Integral –Derivative (PID) controller is employed to improve the same power system performance. The controller gain values are optimized using Artificial Intelligence technique based Ant Colony Optimization (ACO) algorithm. The simulation performance compares the ACO-PID controller to the conventional PI. The results proved that the proposed optimization technique based the ACO-PID controller provides a superior control performance compared to the PI controller. As the system using the ACO-PID controller yield minimum overshoot, undershoot and settling time compared to the conventional PI controlled equipped system performance.
Highlights
In power generating units another form of energy is converted into electric energy or mechanical energy
Ij denotes the pheromone associated with the edge joining cities i and j, dij is the distance between cities i and j, as j is a constant, Lk is the length of the tour performed by Kth ant, α, β are constant values that find the relative time between pheromone and heuristic values on the decision of the ant, ρ is the evaporation rate
It can be clear from figs.6-14 and table III that the system performance is improved in terms of minimum overshoot, undershoot and settling time compared to Integral Time Absolute Error (ITAE) objective function optimized PI controller, when the Integral Time Square Error (ITSE) objective function for the PI controller parameters optimization is used
Summary
In power generating units another form of energy is converted into electric energy or mechanical energy. It is clearly shown that many control strategies have been developed for load frequency control/Automatic Generation control application through the past few years Such control strategies are as: Parameter-plane technique [15], Lyapunov Technique [16], Continuous and Discrete mode Optimization [18], Optimal Control theory [19], Adaptive Controller [20], Variable Structure Control(VSC) [22], Decentralized controller [21], Conventional controller [23], Fuzzy Logic controller [5], Classical Controller [1], Integral Controller [1], Bat inspired algorithm (BID) [26], Beta Wavelet Neural Network (BWNN) [27], Teaching Learning Based Optimization (TLBO) [28], Firefly Algorithm [29], Cuckoo Search [30], on Multi Input www.ijacsa.thesai.org.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Computer Science and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
