A Review on Enhancing the Performance of MPPT for Single Stage PV-Grid Connected System Using Particle Swarm Optimization Technique

Abstract

The scaling of maximum power point tracking (MPPT) system is suggested. The optimal operating point of a solar module is known as the maximum power point (MPP) and it changes with its own characteristic as well as cell temperature and sunlight. The scaling S-PVMPPT algorithm is modified algorithm to achieve MPPT in spite of single or 80 micro-meter up to 4 decimal places, that is, an error no bigger than 10−4 , the Trapezoidal Rule, we could take big enough so that 1/n2 ≤ 10−4 solar PV cells. The most important rule, in practice, is the Simpson’s Rule, because of its simplicity and accuracy. From the simulation and experimental results, the particle swarm optimization (PSO) based maximum power point tracking (MPPT) for PV system is presented which is interrelated with other control schemes such as synchronization with grid and current control finding lower error event as compare with PV-MPPT with same saturated voltage and it can deliver more power than the conventional MPPT Technique.

Authors and Affiliations

Ms. Trivelli Shekhar Naidu, Prof. Bushra Khan, Prof. Radharaman Shah

Keywords

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  • EP ID EP24693
  • DOI -
  • Views 371
  • Downloads 14

How To Cite

Ms. Trivelli Shekhar Naidu, Prof. Bushra Khan, Prof. Radharaman Shah (2017). A Review on Enhancing the Performance of MPPT for Single Stage PV-Grid Connected System Using Particle Swarm Optimization Technique. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(6), -. https://europub.co.uk/articles/-A-24693