<span lang="EN-US">Nowadays, renewable energy sources turned into a choice to fulfill the expanding load need since they are ecological inviting and furthermore accessible bountiful in nature. Due to the easy availability of solar-powered vitality, the photovoltaic (PV) system is gaining popularity as a renewable energy option. Most of the energy from a PV array may be dissipated by using the maximum power point tracking (MPPT) method. The force quality problems, the real and responsive force stream problems, are a major concern when transferring a mass measure of intensity from a PV array to the power grid. This research proposes a unique control technique for regulating the power flow and resolving power quality concerns brought on by the integration of PV arrays into an existing power infrastructure. For effective management of real and receptive force stream in matrix related photovoltaic framework, it includes a PI-GA, fuzzy-GA based flowed regulator dealt with adaptable AC transmission framework gadget, specifically static synchronous compensator (STATCOM). As a result, the fuzzy rationale regulator creates a control vector, which is in this way tweaked utilizing a standard calculation.</span>

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This paper presents a device that uses the evolving IoT technology to design and implement an internet-based energy meter. This meter, being cheap and easy-to-implement solution, enables consumers to monitor the daily usage of electric power easily. This work primarily concerns the energy-monitoring aspect of IoT, along with discussing other advantages of this meter, such as its ability to overcome human errors and reducing dependency on manual labor, besides reducing costs in energy consumption. The proposed design, which comprises a low-cost wireless network and protocol for smart energy along with a web application capable of automatically reading the unit and then sending the data automatically provides great advantages to users by allowing them to keep a track of their meter reading. This system will help users by allowing them to not only take steps to reduce power wastage but also bring down costs of consumption, along with minimizing the threat of power theft, which is incurs great losses to power companies. Experimental results of this study show that the proposed IoT meter works efficiently and has proven its potential in practical applications at substantially reduced costs.

This paper presents the design and development of a fuzzy controller using UPFCs to damp out the oscillations in FACTS-based integrated multi-machine power system when faults takes place at different buses. The combination of a fuzzy coordination scheme with a PODbased UPFC is used to suppress the oscillations upon the occurrence of a fault at the generator side. Three Simulink models are developed with and without the controller by considering the occurrence of one fault at a time near each generator. The three-phase to ground symmetrical fault is made to occur near first generator for 200 ms in the model 1, next at second generator in model 2 and finally at third generator in model 3. Simulations are performed with and without the controller. The three models are compared for the effectiveness of the fault occurrence near each of the generators. Simulation results show the effectiveness of the developed method.

In this paper, the use of interline power flow controller (IPFC) on damping low-frequency oscillations (LFOs) are discussed and a new genetic algorithm(GA)-based multistage fuzzy (MSF) DC-Voltage regulator is proposed for IPFC to dampen low-frequency oscillations in (Double line) power system. The suggested control strategy is estimated under various operating conditions, and then it is compared with conventional controllers to determine its effectiveness. Time-simulation studies proved the robust performance of the proposed regulator.