DMPC-based AGC of an Interconnected Multi-Area Power System with CWES System Integration

Abstract

In an interconnected multi-area power system with large wind power integration, the grid’s automatic generation control (AGC) performance is severely weakened by the fluctuating and random features of wind power generation and wind-thermal replacement. To fully exploit the potential of wind turbines (WTs) in a multi-area system for improving its AGC performance, based on a distributed model predictive control (DMPC) algorithm, a novel AGC model and control strategy for an interconnected power grid with combined WT and energy storage (ES) systems (CWES) is proposed in this paper. The interconnected system is divided into several subareas for adapting the DMPC algorithm. Then, by communicating prediction and state measurement information with adjacent areas, local DMPC controllers are deployed in each area to overcome the disadvantages of the centralized control framework. Finally, case studies on a three-area interconnected power system with high wind power integration indicate AGC performance improvements, and the AGC support potential of WTs can be fully exploited by the designed CWES system and coordinated control strategy.