Abstract:

The dispatch of Optimal reactive power plays a vital role in power networks to maintain the desirable voltages at the buses. The power networks with conventional thermal generators are no longer being used, nowadays renewable energy sources have been incorporated to these networks due to their tremendous advantages. Therefore, this paper mainly focuses on solving the ORPD problem by integrating solar and wind plants. In the IEEE30 bus system, bus 5 and bus 8 thermal generators could be replaced with solar and wind power plants. In this regard, the Weibull probability density function, lognormal probability density function, and beta probability density function are used to solve some of the uncertainties including load demand, wind power, and solar power. The proposed method called a scenario-based method is used for representing uncertainties in which a set of 25 scenarios were created with the mixture of uncertainties in load demands and power of the solar and wind sources. This is delineated as an optimization problem by considering minimizing the power losses of transmission lines and voltage deviation as objectives. An analysis has been carried out using Modified Ant Line Optimizer (MALO) to examine the current approach to the modified IEEE 30-bus test system.<

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