:
A wide spread use of fossil fuel has lead to extreme increment of carbon footprint in the world globally. Earth’s melting glaciers are informing us to go for renewable energy sources. In most cases, the renewable power has been generated in electrical form and the same does not suit the existing grid requirements. Cascaded H bridge multilevel inverters Topology is promising in this context. The output of multilevel inverter is near to sinusoidal and has added advantages of low device stress, no need of step up transformers, low common mode voltage, near sinusoidal input current, low switching frequency and reduced harmonics. The direct output of Cascaded H bridge multilevel inverters may not be suitable for many applications like integrating solar panel output with existing grid where harmonic reduction is necessary. Various modulation techniques are available like sinusoidal pulse width modulation, space vector modulation and selective harmonic elimination. Among the listed modulation techniques, selective harmonic elimination can be implemented with low switching frequency and it is suitable where low electromagnetic interference, low switching loss and good power quality is required. To reduce the harmonics one must solve the non-linear transcendental output equations of the cascaded H-bridge Multi level inverter (CHB-MLI). Various artificial intelligent (AI) algorithms are introduced and researchers have worked on eliminating harmonics or minimizing total harmonics distortion (THD) from the output of CHB-MLI. This paper gives review of the harmonic reduction using some of the well known explored AI algorithms and also gives insight to some of unexplored algorithms in this area.