Collaborative optimization strategy of optical storage station and SVG based on model predictive control
With the high penetration of new energy into the power grid,the voltage control problem of the power grid becomes more and more complicated.Aiming at the problem of multi-time scale characteristics in cooperative optimization among multiple reactive sources,this paper adopted model predictive control method,established multi-reactive source cooperative optimization models under different time scales from day-ahead planning and day-day short-term scheduling,and formulated day-ahead to day-day multi-reactive source co-operative optimal scheduling strategies.Simulation results show that the proposed strategy can significantly reduce the number of discrete reactive power devices,and efficiently coordinate optical storage stations and SVG devices,while ensuring the economic operation of the power grid,avoid the problem of voltage exceeding the limit at grid nodes.
reactive power optimizationmodel predictive controlnew energy
万方数据
维普
