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Recent developments in FACTS have produced U.P.Q.C to mitigate sag and attenuate THD. U.P.Q.C has been urbanized as a FACTS controller between feeding end & far end of distribution system .The U-P-Q-C is capable of improving the voltage profile & reducing THD of distribution system by regulating the voltage using PR (Proportional-Resonant-Controller) and MPC (Model-Predictive) controller. This work proposes U-P-Q-C for Thirty Three Bus Systems .The objective of this work is to enhance-voltage-profile of T-T-B-S. The T-T-B-S in open loop & closed loop-TTBS- U-P-Q-C using PR and MPC-controllers are-modeled,pretend & their consequences are represented. Responses are estimated as a time of settle and error in steady state. The outcomes indicate that MP Controlled T-T-B-S system has better response than PR controlled T-T-B-S system.

In this paper, a multi input Cuk converter is designed and simulated using a fuzzy logic controller. Multi input Cuk converter have their own applications in DC grid system that can be used to integrate multiple sources together and then create a common DC bus bar. Conventionally, a separate DC-DC converter is required to produce output of each source. This creates a complex network and is also not a cost effective solution. Therefore, a combined converter model is created and simulated in MATLAB using intelligent fuzzy logic controller approach. This helps in minimization of ripple content, power quality improvement, flexibility, and it is efficient in regulation of DC bus voltage. A single stage Cuk converter is designed first using Pulse Width Modulation (PWM) as the control of duty cycle and later using PI controller. The waveform response in both conditions were noted down and analysis were done. Then a fuzzy logic controller for single source is implemented with intelligent algorithm. Improvement in signal quality was noted down with the use of fuzzy logic and later it was incorporated in creating a multi input Cuk converter. Only DC input integration of multiple energy either renewable or non-renewable sources is discussed in this paper. [ABSTRACT FROM AUTHOR]

Growth in energy demand is more than the energy production due to various reasons like industrial growth, rapid urbanization, increasing affordability of electric gadgets, etc. The integration of existing grids with renewable energy sources provides economical, sustainable and efficient power distribution, and this allows to control the greenhouse effect. The reduction in power loss and voltage profile improves the distribution system, which can be done by using some techniques, such as feeder or network reconfiguration, VAR compensation with capacitor banks, and Distributed Generation (DG). DG is a localized small scale generation installed in the distribution network capable of injecting active power and providing limited reactive power support, reduced distribution losses, improved voltage profile in the system, hence, improving the quality of the power. The significant process is to improve the power quality of the system and this system is used to find the size of the DG unit and their suitable locations of the system. In this paper, IPSO and a new gradient free, meta-heuristic, population based algorithm called BAT Inspired Algorithm, are used to evaluate the optimal size and location of DG units. Distributed load flow is carried out for 33-bus and 69-bus systems to obtain power losses and voltage at each bus. Optimization techniques like IPSO and BAT algorithms are considered for the optimal placement and optimal sizing of Distributed Generators in radial distribution system by multi-objective optimization approach has been discussed. The practical application and efficiency of this method is determined by using two test systems (33 and 69-bus). The proposed methods are carried out using MATLAB. [ABSTRACT FROM AUTHOR]