Reliability Analysis of Large-scale Solar Grid Integration

Malcolm Isaac Fernandez, Yun Ii Go

Research output: Chapter in Book/Report/Conference proceedingConference contribution


As solar power is an intermittent source of energy; it causes uncertainties when connected to the electrical grid. This work presents a volt-var regulation method for integrating large-scale solar which will result in a power system with improved reliability indices: System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI), and Customer Average Interruption Duration Index (CAIDI). A time-varying load profile of a solar bus will be used to test the changes in reliability indices in the 110 kV reliability network model. Reliability analysis of a comparative study between a network without solar PV, with solar PV, and solar PV with volt-var regulation will be carried out for analysis of SAIFI, SAIDI, and CAIDI indices with respect to the IEEE Standard. The contribution from the authors will be the modeling and development of a smart inverter with a volt-var regulation function in the solar bus to improve reactive power flow in the 110 kV industrial network model in Siemens PSS SINCAL.
Original languageEnglish
Title of host publication11th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)
Number of pages5
ISBN (Electronic)9798350305364
Publication statusPublished - 12 Feb 2024
Event11th International Conference on Smart Grid and Clean Energy Technologies 2023 - Kuala Lumpur, Malaysia
Duration: 13 Oct 202315 Oct 2023


Conference11th International Conference on Smart Grid and Clean Energy Technologies 2023
Abbreviated titleICSGCE 2023
CityKuala Lumpur


  • Solar photovoltaics
  • power flow
  • reliability indices
  • volt-var regulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization
  • Safety, Risk, Reliability and Quality
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Modelling and Simulation


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