Decentralised and distributed day-ahead robust scheduling frameworks for bulk AC/DC hybrid interconnected systems with a high share of wind power

Abstract This paper focuses on the decentralised and distributed day-ahead robust scheduling problems for bulk HVAC/HVDC hybrid interconnected systems with a high share of wind power. Different day-ahead robust scheduling frameworks are proposed corresponding to different scheduling and control mechanisms. The non-hierarchical analytical target cascading (ATC) technique is utilised to establish the decentralised and distributed scheduling frameworks. Wind power uncertainty is mitigated by a two-stage robust optimization, and solved by a column-and-constraint generation (C&CG) algorithm. Then, an integrated non-hierarchical ATC and C&CG algorithm is presented to enable decentralised and distributed robust operation. The parallel computing is adopted to accelerate the distributed solution. To make the best use of the controllability of the HVDC tie-line to accommodate more wind power, a day-ahead operating model for the HVDC tie-line is introduced. Simulations illustrate the effectiveness of the proposed day-ahead robust scheduling frameworks.