Adaptive SMPC-based Real-time Optimal Scheduling of Hybrid Micro-grid with Wind-optical-storage
In view of the randomness and fluctuation of wind power and photovoltaic power generation,the problems of new energy absorption,time-of-use price of energy storage and tie-line blocking in wind-solar-storage hybrid micro-grid system are studied,a real-time optimal dispatching model of micro-grid based on wind energy,solar energy and energy storage is proposed.Firstly,the wind-optical-storage hybrid microgrid model is studied,and an adaptive stochastic model prediction method is introduced to transform the mixed-integer nonlinear optimization problem into a quadratic programming problem,wind power,photoelectric has a certain degree of schedulability.Secondly,a real-time optimal scheduling model for hybrid systems is established with the goal of optimal economy and stability.Finally,the IEEE-30-node 6-unit system simulation analysis verifies the economy and feasibility of the proposed scheduling strategy and model algorithm.
hybrid wind-optical-storage systemmicro-gridadaptive stochastic model predictive controlTie-line blockingreal-time optimal scheduling