Reliability assessment of composite generation and transmission expansion planning incorporating renewable energy sources

Modern power system exploitation of large-scale Renewable Energy Sources (RESs) is prevalent due to the RES effect of reducing the heavy dependence on fossil fuels and the resultant power quality improvement. Therefore, this paper investigates the reliability assessment of a power system with integration of large-scale RESs with emphasis on their impacts on the expansion planning procedure. A multi-state Markov model is proposed to analyze the availability and reliability of the stochastic nature of RESs and High Voltage Direct Current transmission links. A Mixed Integer Nonlinear Programming model is developed to minimize the total investment and operation cost of the generating units and the cost associated with power outage as well as improving power system reliability. An Outer Approximation Algorithm, a powerful solver embedded in the Advanced Interactive Multidimensional Modeling System, was employed in solving the proposed model and implemented using the IEEE 6- and 24-bus Roy Billinton Test System to demonstrate its effectiveness. The results obtained from the simulation reveal that the proposed model performance achieves effective reliability and an enhanced voltage profile.