Probabilistic Multi-Objective Reactive Power Planning Considering Large-Scale Wind Integration

In this paper a probabilistic multi-objective Reactive Power Planning (RPP) framework is presented for power systems with high penetration of wind energy. Investment cost of reactive resources, total generation costs, voltage stability index and total voltage deviation of buses are considered as objective functions. Here effects of different strategies for controlling reactive power of wind turbines on reactive power planning are investigated. To cope with load and wind speed uncertainties a Two Point Estimation Method (2PEM) is utilized. Non-dominated sorting Genetic Algorithm II (NSGA II) is used to solve the problem. The proposed method is implemented on IEEE 24-bus test system to verify its capabilities.