Optimal operational strategy for hybrid renewable energy system using genetic algorithms

Kamaruzzaman Sopian, Azami Zaharim, Yusoff Ali, Zulkifli Mohd Nopiah, Juhari A B Razak, Nor Salim Muhammad

Research output: Contribution to journalArticle

42 Citations (Scopus)

Abstract

Off-grid settlements require efficient, reliable and cost-effective renewable energy as alternative to the power supplied by diesel generator. Techno-economic analysis is required to find the optimum renewable energy system in the long run. This paper reviews the application of genetic algorithms in optimization of hybrid system consisting of pico hydro system, solar photovoltaic modules, diesel generator and battery sets. It is intended to maximize the use of renewable system while limiting the use of diesel generator. Daily load demand is assumed constant for derivation of annual load. Power derived from the hybrid should be able to meet the demand. Local weather data is used and analyzed to assess the technical and economic viability of utilizing the hybrid system. Optimization of the system will be based on the component sizing and the operational strategy. Genetic algorithms programming is used to evaluate both conditions in minimizing the total net present cost for optimum configuration. Manufacturer data for the hybrid components is used in calculation of sizing to represent actual power derivation. Several operation strategies will be considered while forming the vectors for optimum strategy. Random selection of sizing and strategy is used to initiate the solution for the problem which will have the lowest total net present cost. Sensitivity analysis is also performed to optimize the system at different conditions.

Original languageEnglish
Pages (from-to)130-140
Number of pages11
JournalWSEAS Transactions on Mathematics
Volume7
Issue number4
Publication statusPublished - Apr 2008

Fingerprint

Renewable Energy
Genetic algorithms
Genetic Algorithm
Hybrid systems
Costs and Cost Analysis
Economics
Costs
Generator
Hybrid Systems
Solar system
Economic analysis
Weather
Solar System
Sensitivity analysis
Operations Strategy
Economic Analysis
Optimization
Long-run
Viability
Battery

Keywords

  • Genetic algorithms
  • Hybrid system
  • Operation strategy
  • Optimization
  • Renewable energy

ASJC Scopus subject areas

  • Mathematics (miscellaneous)
  • Computational Mathematics
  • Computer Science (miscellaneous)

Cite this

Optimal operational strategy for hybrid renewable energy system using genetic algorithms. / Sopian, Kamaruzzaman; Zaharim, Azami; Ali, Yusoff; Mohd Nopiah, Zulkifli; Razak, Juhari A B; Muhammad, Nor Salim.

In: WSEAS Transactions on Mathematics, Vol. 7, No. 4, 04.2008, p. 130-140.

Research output: Contribution to journalArticle

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