A Two-stage Coordinated Optimization Method of Regional Energy Internet Based on Adaptive Model Predictive Control

In this paper, due to operation difficulty of power system caused by uncertainty of hybrid wind and PV renewable energy and load of combined cooling heating and power, a two-stage coordinated optimization strategy based on adaptive model predictive control is proposed to realize the precision of turbine power output and smoothly control, in which the optimized dispatching is divided into day-ahead and intraday phases. In the day-ahead dispatching phase, the economic dispatching unit combination model is built with the objective of minimum operation cost. And in the intraday optimization phase, the adaptive model predictive control method is used to adjust the power output of each unit within a rolling horizon based on real operation status of each unit and pre-phase optimized dispatching power output as reference to eliminate the effect of uncertainty and to guarantee operation stability of power system. Cases analysis verifies the validity and feasibility of proposed model and method.