Decentralized Intraday Generation Scheduling for Multiarea Power Systems via Dynamic Multiplier-Based Lagrangian Relaxation

Due to day-ahead forecast error in load demand and renewable generation, there exists inevitable deviation between real-time operation and day-ahead generation schedules. This paper introduces a decentralized multiarea intraday generation scheduling based on nonlinear ac power flow. This approach allows for a more reliable and economic operation with the ability to accurately constrain power and voltage securities at a multiarea scale. A dynamic multiplier-based algorithm is employed for solving the nonlinear multiarea intraday dispatch model, which is fully decentralized and thus preserves autonomy for each area. The dynamic multiplier-based algorithm presents the advantage of accelerated computation compared to conventional static multiplier. Numerical simulations illustrate the computational performance and practical value of the proposed multiarea intraday generation scheduling framework and dynamic multiplier-based algorithm.