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Application of Bird Swarm Algorithm for Solution of Optimal Power Flow Problems

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Complex, Intelligent, and Software Intensive Systems (CISIS 2018)

Abstract

Incorporating fluctuant and intermittent nature wind power and solar photovoltaic (PV) power in the power system lead to significant challenges for system planning and operation which are risen from uncertainties associated with renewable energy. This paper placed emphasis on OPF problem. Bird swarm algorithm (BSA) is employed to optimize power generation cost in power system network with handling the uncertainty of both wind power and solar PV power. To examine the effectiveness and accuracy of the BSA, the modified IEEE 30-bus system with two traditional thermal generators (TGs), two windfarms and two solar PV units is utilized.

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Correspondence to Nadeem Javaid .

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Ahmad, M., Javaid, N., Niaz, I.A., Shafiq, S., Rehman, O.U., Hussain, H.M. (2019). Application of Bird Swarm Algorithm for Solution of Optimal Power Flow Problems. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_25

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