Integrating AGC to Generation Scheduling for Real-Time Operational Optimization

Abstract

This work proposes a new real-time operational framework for electric grids. This framework is based on converting generation scheduling optimization, which is conventionally triggered only in discrete instants of time, into a closed-loop control-based problem that automatically adjusts the generator power outputs constantly as system conditions change. However, maintaining frequency deviations within acceptable levels solely by the control-based generation scheduler is not sufficient. Therefore, to ensure adequately fast action, automatic generation control (AGC) is still needed. This work aims to provide a novel integrative approach that combines AGC and control-based generation scheduling into one framework. Simulation results show the efficacy of the proposed integrative framework in achieving effective frequency regulation while operating the system optimally in real time.