Research On Local Autonomy Control Strategy And Distributed Generator Acceptance Capability In Active Distribution Network

The active distribution network(ADN)has the characteristic of high penetration of DG and flexible control method which are challenges to the centralized control strategy.A single centralized control method is not sufficient to meet the multi-objective optimization and the multi-time scale operation in the ADN,which also cannot satisfy the demand of controlling distributed resources accurately in the active distribution network.This project proposes a multi-regional coordination control mode using the regional dynamic power supply and storage capacity as interactive information.The distribution network is divided into the main power grid,interregional power grid and the several of autonomous regions.Among them,the main grid is responsible for establishing a long-time scale operation mode for the whole grid.In order to reduce the number of variables,each autonomous area is equivalent to the controllable load/power node.Interregional grids are responsible for establishing electrical connection between the contiguous grids within one feeder.Each autonomous region takes their own optimization goals for energy management based on the optimizing results of the above two kinds of power grid.In order to avoid the contradiction between the results of the main power grid and the regional power grid,this progress establishes the regional dynamic power supply and storage capacity mode.In this model,the transmission power quantitative changes can be calculated with the port voltage characteristics.The main power grid and interregional power grid should coordinate the power balance among regions according to the regional dynamic power supply and storage capacity of each region.In the case study,the analysis results show that the partition calculation method is more efficient than the overall calculation method.In addition,in order to significantly increase the power supply of large number of DG in the ADN,the progress put forward a demand-side management(DSM)to improve the capacity of distributed power supply,Using the stage electric price to guide the load consenting with the DG output and balance the gap between the intermittent energy power supply and the power consumption.In the paper,the electric vehicles(EV)are regarded as the controllable load.Through the establishment of charging timing optimization strategy and charging location optimization strategy,the charging time and charging location of EVs in the system will be rational planned to maximize DG power output.Finally,the proposed model and control algorithm are verified by examination.Through comparing different charging strategies,it proves that combining the strategy of charging timing optimization and charging location optimization of EVs can maximize the acceptance of distributed power supply in the ADN.