Modified Cascaded H-bridge Multilevel Inverter for Hybrid Renewable Energy Applications


Renewable energy sources and technologies have the potential to provide solutions to the longstanding energy problems being faced by developing countries. Renewable energy sources like wind energy, solar energy, geothermal energy, ocean energy, biomass energy and fuel cell technology can be used to overcome energy shortage in India. This paper proposes a modified multi-level inverter (MLI) topology for Hybrid Renewable Energy Sources (HRES) and a design of hybrid solar-wind power generation model with 9-level, 13-level and 17-level inverter topologies.


A HRES connected to a modified Cascaded H-Bridge Multi Level Inverter (CHB-MLI) is developed, whose switches are controlled using Artificial Neural Network (ANN) model. The proposed hybrid energy system model consists of 10 Metal Oxide Semiconductor Field Effect Transistors (MOSFETs) that intend to give 17 levels of output voltage. The proposed topology performs effectively with reduced number of components and reduced Total Harmonic Distortion (THD).


The performance of the proposed system is analyzed by designing the model in MATLAB/SIMULINK environment. The simulation results of the proposed inverter for the HRES application are compared with the results of the existing topologies to show the effectiveness of the proposed model.


  1. Battery energy storage system (BESS)
  2. Modified cascaded H-bridge Multi-level inverter (MCHBMLI)
  3. Total harmonic distortion (THD)



Figure 1: Proposed model of the microgrid


Figure 2: Output voltage waveform for modified 9-level inverter

Figure 3: Output voltage for modified 13-level inverter

Figure 4: Output voltage for modified 17-level inverter

Figure 5: Modified 17-level inverter output THD value with M.I = 0.8


In this paper, 9-level, 13-level and 17-level inverters are designed by employing modified cascaded MLI, followed by ANN as a control approach for the inverter. Using the ANN method, the MPP exactly searching when the solar irradiance changes sharply, and it can make the system work under a stable mode. The advantage of the ANN-based PV model method is the fast MPP approximation according to the parameters of the PV panel. The proposed new MPPT algorithm can search the MPP fast and exactly based on the feedback voltage and current with different solar irradiance and temperature of the environment. The simulations are performed in MATLAB/SIMULINK environment.


The output voltage waveform shows less distortion with a reduced number of power switches and is validated by calculating THD as a performance measure. The results attained from the proposed model exhibits superiority over the previously suggested models when compared. The proposed modified system can be analyzed in the future, with different sources such as fuel cell, diesel generator, etc. in the standalone microgrid topology. This is more cost-effective due to the use of reduced number of switches and other components.


Thus it helps in improving the total harmonic distortions as per the IEEE 519 standards, in terms of power quality of the islanded microgrid. The limitation of the proposed topology is that, in case of a failure of one of H-bridges, the MLI can still be operated with decreased number of levels. However, full power cannot be supplied to the load. This can be improved by designing a fault tolerant MLI topology in the future.


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