Performance enhancement of AGC under open market scenario using TDOFPID and IPFC controller

Publication Type:
Journal Article
Journal of Intelligent and Fuzzy Systems, 2018, 35, (5), pp. 4933-4943
Issue Date:
Filename Description Size
ContentServer (16).pdfPublished version2.67 MB
Adobe PDF
Full metadata record
Present work introduces a most popular evolution based algorithm and application of two degree of freedom proportional integral Derivative (TDOFPID) Controller based multi area power system. Differential Evolution (DE) optimization technique is applied here to tune the TDOFPID gains. Each area consists of Automatic generation control with addition of non-linarites. In this model time delay, Generation rate constraints (GRC) and reheat turbine are added to introduce non-linearity. At first attempt simulation is being done in two areas with DE optimization technique. Further a series connected Flexible Alternating Current Transmission (FACT) device such as interline power flow controller (IPFC) is included into the system and simulated. DE is also used to get the optimum value of TDOFPID controller having Integral time absolute error (ITAE) as the objective function. At last robustness analysis is done with varying parameter and different loading conditions. It is seen that, TDOFPID with IPFC gives better response compared to others.
Please use this identifier to cite or link to this item: