ABSTRACT
This chapter presents the probabilistic assessment of renewable energy-integrated power systems to analyze various uncertainty issues in transmission systems. The uncertainties related to renewable generations and system load demands are addressed. The most widely used probabilistic load flow (PLF) approaches are examined in depth, including Monte-Carlo simulation (MCS), point estimation method (PEM), and cumulant method (CM). A sample 10-bus equivalent system is reviewed for the simulation, and the test case includes a step-by-step illustration of all the primary PLF methodologies. The results obtained using the MCS method are used as a reference for the performance assessment of the CM and PEM. The performance of fundamental PLF methods for practical power systems has been tested using a 24-bus wind integrated equivalent network of the Indian southern zonal power grid. According to the PLF results, PEM is shown to be more efficient and accurate than other conventional techniques for power system planning and expansion with renewable energy integration.
