International Journal of Engineering Research and Development e-ISSN: 2278-067X, p-ISSN: 2278-800X, www.ijerd.com Volume 10, Issue 9 (September 2014), PP.07-14 7 Fuzzy Controller Based Dynamic Voltage Compensation Scheme for Smart Electric Grid Stabilization 1 S.Anupama, 2 Dr.M.Padma Lalitha, S.Ashok Kumar 3 1 Assistant Professor, Dept .of EEE A.I.T.S-RAJAMPETA, A.P, INDIA, 2 Professor& HOD, Dept. of EEE A.I.T.S-RAJAMPETA, A.P, INDIA, 3 PG student (EPE), Dept. of EEE A.I.T.S-RAJAMPETA, A.P, INDIA Abstract:- In this paper a novel modulated power filter compensator (MPFC) is used for power quality improvement on transmission side for the smart grid stabilization and efficient utilization. The MPFC is controlled by a novel tri-loop dynamic error driven inter coupled fuzzy controller. The Fuzzy logic controller based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into automatic control strategy. This paper presents a Digital validation conducted for different cases of load, excursions and fault conditions using the Mat lab/ Simlink/ Sim-Power software environment without and with the modified power Filter Compensator scheme with fuzzy controller for effective voltage stabilization, power factor correction and transmission line loss reduction. Keywords:-FACTS, Dynamic Voltage Stabilization, Smart Grid, Stabilization, Efficient Utilization. I. INTRODUCTION The proliferation of microelectronics processors in a wide range of equipments, from home VCRs and digital clocks to automated industrial assembly lines and hospital diagnostics systems has increased the vulnerability of such equipment to power quality problems .These problems include a variety of electrical disturbances, which may originate in several ways and have different effects on various kinds of sensitive loads. As a result of this vulnerability, increasing numbers of industrial and commercial facilities are trying to protect themselves by investing in more sophisticate equipment to improve power quality. Harmonics, voltage sag/swell and persistent quasi steady state harmonics and dynamic switching excursions can result in electric equipment failure, malfunction, hot neutral, ground potential use, fire and shock hazard in addition to poor power factor and inefficient utilization of electric energy manifested in increase reactive power supply to the hybrid load, poor power factor and severely distorted voltage and current waveforms. To improve the efficiency, capacitors are employed which also leads to the improvement of power factor of the mains. Between the different technical options available to improve power quality, active power filters have proved to be an important alternative to compensate for current and voltage disturbances in power distribution systems Different active power filters topologies have been presented in the technical literature ,and many of them are already available in the market .Modern active filters are superior in filtering performance smaller in Physical size, and more flexible in application, compared to traditional passive filters The shunt active filters are used for providing compensation of harmonics, reactive power and/or neutral current in ac networks, regulation of terminal voltage, suppression of the voltage flicker, and to improve voltage balance in three- phase system. Hybrid filters effectively mitigate the problems of both passive filters and pure active filter and provide cost effective and practical harmonic compensation approach, particularly for high power nonlinear loads. The combination of low cost passive filters and control capability of small rating active filter effectively improve the compensation characteristics of passive filters and hence reduce the rating of the active filters, compared to pure shunt or series active filter solutions. Many power filter compensation configurations are proposed in literature to enhance power quality and to improve power factor .This paper explores design and analysis of a novel modulated power filter compensator along with fuzzy controller (mamdani rule base) for efficient stabilization and utilization. Fuzzy inference systems have been successfully applied in fields such as automatic control, data classification, decision analysis, expert systems, and computer vision. Because of its multidisciplinary nature, fuzzy inference systems are associated with a number of names, such as fuzzy-rule- based systems, fuzzy expert systems, and fuzzy logic controllers. The Mamdani rule base is a crisp model of a system, i.e. it takes crisp inputs and produces crisp outputs. It does this with the use of user-defined fuzzy rules on user-defined fuzzy variables. The idea behind using a Mamdani rule base to model crisp system behaviour is that the rules for many Systems can be easily described by humans in terms of fuzzy variables. Thus we can effectively model a complex non-linear system, with common-sense rules on fuzzy variables. The proposed scheme proved success in improving the power