Optimal Allocation of Reactive Power Compensators in Transmission Networks Considering Wind Energy Uncertainty

This thesis addresses the problem of finding the optimal configuration (location and size) of static var compensator (SVC) considering the intermittent nature of wind power in the transmission system. A probabilistic load flow (PLF) integrated with a five-point estimation method is used to model the wind power uncertainties by discretizing wind power distribution into five discrete points. Consolidating PLF with multi-objective non-dominated sorting genetic algorithm (NSGA-II), location and size of SVC can be optimally allocated considering the impacts of wind power uncertainties. This method aims to minimize system operating cost, power loss reduction and voltage profile enhancement. The viability of the applied method is validated on the IEEE 30 bus system. Simulation outcomes demonstrate the viability of the applied method in minimizing different objective functions under the vague nature of wind power. The total voltage profile is improved by 33.2%, while the total power loss of the mentioned power system is reduced by almost 40% after installation of SVCs and wind turbine.