A Coordinated Power Grid optimization Considering Reliability and Chance-Constrained Approaches

Considering all components in a power network brings some challenges due to the mathematical model’s complexity. In this paper, an integrated mathematical formulation aiming at power system cost minimization is suggested. A novel reliability index is introduced for improving system reliability to control average power not supplied (APNS) at load points. Furthermore, a chance-constrained technique is adjusted throughout planning to cope with uncertainty. The performance is evaluated based on some scenarios, and the findings are analyzed and compared. It can be seen that scenarios with uncertain parameters can strongly affect on system total costs. However, they are more reliable at showing the real world. Also, APNS costs and total system costs decrease in scenarios with DGs. Therefore, DGs can be suitable resources to cut down on total cost and improve system reliability.