Abstract
In this study, an optimal power flow (OPF) problem is formulated for economic operation of electrical system while incorporating stochastic and intermittent nature of solar photovoltaic (PV) and wind generators. The main objective of this study is the minimization of power generation cost and induction of uncertain renewable energy resources into the system while achieving the optimal setting of control variables. Besides, minimization of generation cost, concern on environment is also taken into account and reduction of carbon emission factor is included into the objective function. Genetic algorithm (GA) is used for optimization of an OPF problem. The proposed system is tested on IEEE 30 bus test system and achieved results are compared with literature to highlight the effectiveness of the system.
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Shafiq, S., Javaid, N., Asif, S., Ali, F., Chughtai, N.H., Khurshid, N. (2019). An Optimal Power Flow Approach for Stochastic Wind and Solar Energy Integrated Power Systems. 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_26
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DOI: https://doi.org/10.1007/978-3-319-93659-8_26
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