A three-phase shunt active filtering algorithm based on the real component of fundamental load current (I cos Phi) has been proposed and implemented in a novel manner in this paper. The complete simulation and hardware implementation of the active filter (AF) with the proposed algorithm has been presented. Simulations have been performed for various dynamic operating conditions under balanced/unbalanced nonlinear reactive loads for both balanced as well as unbalanced/distorted source conditions. The AF has been realized by means of a hysteresis current-controlled voltage-source inverter (VSI). The experimental setup is controlled by making use of simple op-amp-based analog circuits and digital signal processor ADMC401. Experimental results have been obtained for different load and source conditions and discussed in detail. The response of the AF system in simulation as well as in hardware proves the effectiveness of the proposed control technique.

The widespread popularity of renewable and sustainable sources of energy such as solar and wind calls for the integration of renewable energy sources into electrical power grids for sustainable development. Microgrids minimize power quality issues in the main grid by linking with an active filter and furnishing reactive power compensation, harmonic mitigation, and load balancing at the point of common coupling. The reliability issues faced by standalone DC microgrids can be managed by interlinking microgrids with a power grid. An artificial intelligence-based Icos$\varphi$ control algorithm for power sharing and power quality improvement in smart microgrid systems is proposed here to render grid-integrated power systems more intelligent. The proposed controller considers various uncertainties caused by load variations, state of charge of the battery of microgrids, and power tariff based on the availability of power in microgrids. This paper presents a detailed analysis of the integration of wind and solar microgrids with the grid for dynamic power flow management in order to improve the power quality and to reduce the burden, thereby strengthening the central grid. A smart grid system with multiple smart microgrids coupled with a renewable energy source with tariff control and judicious power flow management was simulated for power-sharing and power quality improvement. A hardware prototype of the artificial intelligence-based Icos$\varphi$ control algorithm with nonlinear load was also implemented successfully. Furthermore, the economic viability was investigated to ensure the feasibility of the smart microgrid system with the proposed controller design for power flow management and power quality improvement.

The renewable energy sources play an important role in electric power generation with growing environmental concerns. The inter connection of renewable energy sources are incorporated using power electronics converters, with the aim of improving power quality at the point of common coupling (PCC). This paper presents a novel idea where a STATCOM is used innovatively as a load reactive power compensator an interface unit between the grid and renewable energy source, and as an effective method for real power exchange between the dynamic load system, grid and renewable energy source. A controller unit is proposed for the STATCOM based on modified Icosf algorithm by which reactive power compensation and power factor correction is done and also real power support is provided by renewable energy source through STATCOM. The performance of the proposed algorithm is compared with the modified Instantaneous Reactive Power Theory (IRPT) control algorithm to achieve the above objectives.

The high penetration of the Renewable Energy Sources (RES) can create stability, reliability and power quality problems in the main electrical grid due to their stochastic nature. Microgrids can be analysed as a solution capable of guaranteeing a controlled injection of energy generated by the renewable energy technologies. The use of storage system in a MG plays an essential role in order to ensure energy balance and in maintaining high power quality. Due to the technical limitations of the currently available storage systems, it is necessary to use more than one storage technology to satisfy the requirement of microgrid applications. In order to satisfy the above constraints, this paper proposes the association of a supercapacitor (SC) and a lithium ion battery in a Hybrid Energy Storage System (HESS). A novel control strategy is adopted for the control of the HESS. Hierarchical control is used for the control of the inverter in islanding and grid connected mode. Self synchronization control ensures smooth transition between islanded and grid connected modes. Simulation of the system is carried out in MATLAB/Simulink.