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Design of a novel three phase hybrid converter for microgrids application using renewable energy sources Devulal, Bhukya; Siva, Manickam; Kumar, Dasari Ravi
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp1473-1486

Abstract

A multi-level inverter (MLI) plays a vital role in recent days with an increasing trend of usage of microgrid and distributed generator. MLIs are popular in high voltage and high-power applications. MLIs operates with dominant switching frequency pulse width-modulation (PWM) techniques. These MLIs not only generate the output voltage with fewer Harmonic but also reduces the dV/dt stress on switches. The induction machine connected to these MLIs, adds greater advantages in real time applications. This paper presents a novel 13 and 21-level hybrid H-bridge inverter (HHBI) connected to induction drive by using a photovoltaic module for microgrid applications using maximum power point tracking (MPPT) through a PV array. Hybrid H-bridge inverters combine elements from different inverter topologies to optimize appearance in terms of efficiency, harmonics and system complexity. The main aim is to reduce harmonics using high level of inverter and by controlling motor characteristics. Here a novel PWM control method is used for making the exchanging sequences for the corresponding switches. From the MATLAB results presented, it can be noticed that with the proposed methodology the THD is reduced to 4.66 and number of switches to 39, which reduces the complexity of the system. It also minimized the switching losses and increases efficiency.
Optimizing slow-charging EV loads with a two-layer strategy to enhance split-phase voltage quality and mitigate issues in PDNs Prasad, Attada Durga; Siva, Manickam; Reddy, Alla Srinivasa
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i3.pp1472-1483

Abstract

Power distribution networks (PDN) were mostly affected by the voltage imbalances created by the slow charging of electric vehicles (EV), were there random load into the PDN system, causing split-phase voltage quality (SPVQ) issues. Hence, to mitigate the problems associated with EVs’ slow charge in distributed phases of the power system, a multi-layer charging strategy is proposed considering the following constraints in the system: voltage deviation (VD) and voltage harmonics (VH) in split phase (SP). Further multi-layer control is associated with an inner layer equipped with hybrid non-dominated sorting genetic algorithm (NSGA-II) to select the optimal phase for charging the EV and send it to the output layer where a SP current algorithm is utilized so that voltage quality can be fed in loop to inner layer so that iterations were performed to satisfy the convergence condition. Simulation results in MATLAB demonstrate a voltage unbalance (VU) reduction of up to 32.81%, a maximum VD reduction of 9.11%, and a VH reduction of 6.25% at key grid nodes. The proposed method significantly enhances PDN efficiency and maintains voltage quality within national standards across 1,000 to 5,000 EV connections. The generated results reflected the optimal improvement in SPVQ, and the harmonics content reduced further; PDN operational efficiency also improved to a greater extent.