*Research Scholar & Assistant Professor, Haji Sheik Ismail Engineering College, Anna University, Nagapattinam
**Director, Sri Rangapoopathi College of Engineering, Gingee, Tamilnadu, India
***Associate Professor, Veltech Technical University, Chennai, Tamilnadu, India
Online published on 9 December, 2016.
This paper presents the design and dynamic performance analysis of load frequency control of interconnected power system using soft computing methodology. In this proposed system, mainly focuses on frequency control issue and real power control in the power system network. Initially the modeling of wind, diesel and thermal systems are considered for this design and analysis purpose. In deregulated environment, the Disco participation matrix has been imposed for electricity demand contracts with two area Genco's. The aim of the system is electric demand must be interact, to maintain system frequency and tie-line power exchange. Therefore the intelligent control technique is essential, the fuzzy logic controller has been utilized in this proposed system. Here Integral square error is formulated in the objective function and obtained optimized gains whose minimizing the error. The dynamic responses of conventional controller and fuzzy controller are compared. Simulation studies reveals that the application of fuzzy logic control, there is an improvement of dynamic performance of Load frequency controller for deregulated power systems in terms of overshoot, settling time for considered small load perturbation.
Load frequency controller, fuzzy logic control, Disco participation matrix, deregulation and thermal-wind-diesel systems
