Photovoltaic farm with maximum power point tracker using hill Climbing algorithm

Hari Agus Sujono*, Riny Sulistyowati, Achmad Safi'i, Ciptian Weried Priananda

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


The electric power generated by photovoltaic depends on the radiation of sunlight and the temperature generated so that the photovoltaic will have an average maximum energy level during the day. Photovoltaic that is used directly to generate electrical power will not be optimal because solar radiation is affected by the weather. A Maximum Power Point Tracker (MPPT) method on a photovoltaic system is required to harvest the sun's energy optimally. This method works by controlling the duty cycle on the switch converter thereby making the photovoltaic output power to operate at its maximum point. Hill Climbing algorithm is used as a power tracking algorithm embedded into the microcontroller. In this research used 2 photovoltaic 100 WP, Arduino Uno microcontroller and Boost converter to realize photovoltaic farm. Simulation results using a simulator program show that tracking the maximum potential power of 200 Wp photovoltaic can theoretically be implemented. For the potential value of photovoltaic power is 189.79 watts then this algorithm can detect 159.09 watt. In testing implementation using microcontroller found that by using Hill Climbing algorithm can reach 94.9 watt power from potency value of 113.68 watt photovoltaic.

Original languageEnglish
Pages (from-to)4167-4172
Number of pages6
JournalARPN Journal of Engineering and Applied Sciences
Issue number13
Publication statusPublished - 1 Jul 2018


  • Boost converter
  • Hill climbing
  • Microcontroller
  • Mppt
  • Photovoltaic


Dive into the research topics of 'Photovoltaic farm with maximum power point tracker using hill Climbing algorithm'. Together they form a unique fingerprint.

Cite this