Optimal Scheduling Of Time-domain Rolling Model Predictive Control For Microgrid

At present,microgrid has been developed rapidly because of its flexible adjustment ability.With the increase of Renewable Energy Penetration represented by wind power and photovoltaic,it is more difficult to coordinate the source-load in micro-grid.In order to deal with the current high permeability of wind power,photovoltaic and other uncertain factors to micro-grid optimal operation security and economic operation and reliability of the negative impact,and make full use of demand-response resources to increase the consumption of renewable energy and suppress the power of distributed energy.Based on the multi-time-scale differential demand response mechanism and model predictive control(MPC)method,the time-domain rolling optimal scheduling of Microgrid is studied in this paper.The specific content of the study is as follows:First of all,the storage battery and the unit are considered comprehensively in the day-ahead dispatch stage,and the load is divided into residential load,commercial load and industrial load,considering the timeliness and difference of demand response,a differentiated demand response mechanism based on multi-time scales is constructed,and a daily optimal scheduling model with differentiated price demand response is set up to minimize the daily integrated operation cost.Then,in the days after the dispatch phase,on the basis of a scheduling further will be based on the multiple time scale differentiation demand response mechanism combined with model predictive control method,and put forward a kind of considering demand response timeliness and differences based on a type differential price demand response-days differentiation demand response-model predictive control of micro multi time scale scheduling policy,with rolling time domain comprehensive operation cost minimum as the target to build time rolling optimization scheduling model based on days.Secondly,in order to solve the nonlinear,multi-constraint and real-time optimal scheduling model of micro-network in time domain efficiently and quickly,the optimal population rolling update strategy is introduced into the compound differential evolution algorithm,a novel time-domain Rolling compound differential evolution algorithm is proposed to construct a new initial population quickly and accelerate the convergence rate of the population.Finally,in a micro network system as an example on the simulation analysis of micro mesh case application results verify the proposed method can make the demand response resource can be fully used,and effectively improve the islands of the reliability of micro network optimization scheduling,reduce the network of the distributed power supply output fluctuations,reduce scheduling error caused by the scenery of the prediction error.The proposed method can also be applied to other fields such as networked micro grid,optimal dispatching of micro grid cluster system and smart grid planning.