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Sizing and performance analysis of standalone wind-photovoltaic based hybrid energy system using ant colony optimisation

Sizing and performance analysis of standalone wind-photovoltaic based hybrid energy system using ant colony optimisation

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This study presents a wind–solar photovoltaic based standalone hybrid energy system (HES) for an un-electrified village for central region of India – Madhya Pradesh. The inputs for the designing of HES are wind speed, solar radiation, temperature and the load demand which are variable with respect to time. In this study, hourly values of meteorological data and hourly load demand are considered over a year. For sizing and performance analysis of this standalone HES, ant colony optimisation technique has been used. The performance analysis of the system is done for the various parameters such as total cost of the system, power generated by various sources, state of charge of battery, contribution of various sources, continuity of supply to the load demand and unmet load. The obtained optimal configuration of the proposed HES is found to provide minimal energy cost with excellent performance and reduced unmet load.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
      • 6. Pei, Y., Wang, W., Zhang, S.: ‘Basic ant colony optimization’. IEEE Int. Conf. on Computer Science and Electronics Engineering, 23–25 March 2012, vol. 1, pp. 665667.
    7. 7)
      • 7. Garai, G., Debbarman, S., Biswas, T.: ‘An efficient ant colony optimization algorithm for function optimization’. IEEE Congress on Evolutionary Computation, Cancun, Mexico, 20–23 June 2013, pp. 23452351.
    8. 8)
      • 8. Baghaee, H.R., Gharehpetian, G.B., Kashefi Kaviani, A.: ‘Three dimensional Pareto optimal solution to design a hybrid stand-alone wind/PV generation system with hydrogen energy storage using multi-objective particle swarm optimization’. IEEE Second Iranian Conf. on Renewable Energy and Distributed Generation, 6–8 March 2012, pp. 8086.
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
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