Applied Sciences (Switzerland)
Multi-objective optimization, Reactive power planning (RPP), Uncertainty, Wind farms, ε-Constraint method
© 2020 by the authors. This paper presents an improved multi-objective probabilistic Reactive Power Planning (RPP) in power systems considering uncertainties of load demand and wind power generation. The proposed method is capable of simultaneously (1) reducing the reactive power investment cost, (2) minimizing the total active power losses, (3) improving the voltage stability, and (4) enhancing the loadability factor. The generators' voltage magnitude, the transformer's tap settings, and the output reactive power of VAR sources are taken into account as the control variables. To solve the probabilistic multi-objective RPP problem, the "-constraint method is used. To test the effectiveness of the proposed approach, the IEEE 30-bus test system is implemented in the GAMS environment under five different conditions. Finally, for a better comprehension of the obtained results, a brief comparison of outcomes is presented.
Shojaei, Amir Hossein; Ghadimi, Ali Asghar; Miveh, Mohammad Reza; Mohammadi, Fazel; and Jurado, Francisco. (2020). Multi-objective optimal reactive power planning under load demand and wind power generation uncertainties using ε-constraint method. Applied Sciences (Switzerland), 10 (8).