基于自适应SMPC的风-光-储混合微电网实时优化调度研究

Adaptive SMPC-based Real-time Optimal Scheduling of Hybrid Micro-grid with Wind-optical-storage

针对风力发电、光伏发电的随机性、波动性,研究了风-光-储混合微电网系统中新能源消纳、储能分时电价、联络线阻塞等问题,构筑了风能-光能-储能多能源互补下的微电网实时优化调度模型。首先,探究了风-光-储混合微电网模型,引入了一种自适应随机模型预测方法,将混合整数非线性优化问题转化为二次规划问题,使风电、光电具有一定的可调度性。其次,以经济性和稳定性最优为目标建立了混合系统的实时优化调度模型。最后,通过IEEE-30节点6机组系统仿真分析,验证了所提调度策略及模型算法的经济性与可行性。

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 realtime 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.