Probabilistic security-constrained preventive redispatching in presence of correlated uncertainties

The large penetration of renewable energy sources, characterized by correlated forecast uncertainty, calls for suitable tools to help power system operators manage security. This paper proposes a probabilistic preventive redispatching algorithm for conventional generators aimed at assuring N-1 security in presence of correlated uncertainties of renewable sources and loads. The algorithm combines Third Order Polynomial Normal Transformation, Point Estimate Method and Cornish Fisher expansion to characterize the chance constraints in a linear programming optimization problem. Simulations performed on an IEEE test system demonstrate the effectiveness of the proposed security control method in limiting the probability of violating branch power limits in N and N-1 state.