A novel methodology for scrutiny of autonomous hybrid renewable energy system

作者: Yashwant Sawle , S.C. Gupta , Aashish Kumar Bohre

DOI: 10.1002/ER.3841

关键词: Mathematical optimizationFuel efficiencyEngineeringEnergy (signal processing)Diesel generatorSimulationPower (physics)Hybrid systemFunction (engineering)Optimal designRenewable energy

摘要: Summary The optimal design of a hybrid system with different configurations including renewable generation is presented in this paper. A novel multi-objective function consisting 6 objectives reported using GA, PSO, and TLBO to decide the parameters. The technical (loss power supply probability, factor), economical (cost energy, penalty fuel consumption), social (job creation, human development index, particular matter) features are investigated as simultaneously for system. objective indices namely cost loss matter, job factor considered. newly invented matter consideration directly shows health impacts, while pollutant emission measured design. optimum values decided on basis minimum value function. distinct cases from I VI examined configuration combinations PV, wind, biomass, diesel generator, battery bank. resulting analysis each case reveals that performance better than PSO GA all respect through new found more efficient solution.

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