Synergistic Risk-Based Robust Scheduling for Hybrid AC-DC Systems via Analytical Target Cascading

This paper proposes a synergistic risk-based robust scheduling (SRRS) model to coordinate the generation resources of hybrid AC-DC systems and handle the renewable uncertainties. To obtain an accurate and reliable dispatch schedule, a linearized power flow model is utilized to consider the reactive power and voltage restrictions. Besides, different from traditional robust optimization, boundaries of uncertainty set are decision variables in this model. The operational risk is considered correspondingly and a reasonable admissible region of wind power is obtained. Based on the hierarchical structure of hybrid AC-DC systems, the analytical target cascading (ATC) algorithm is utilized to solve the SRRS model in a distributed way. An acceptable near-optimal solution can be obtained via finite solutions. During the solution process, only limited information needs to be shared. Thus, the communication burden is light and local information is encrypted. Simulations on a 2-area 12-bus system illustrate the effectiveness of the proposed model and approach.