Study on grid energy storage system planning based on improved column constraint generation algorithm
This study was conducted in order to make the current grid energy storage system operate more stably with less power loss.The column constraint generation algorithm is improved on the basis of the column constraint generation algorithm by adding parti-cle swarm algorithm to calculate the position and other parameters of the system,and then analyzed using the column constraint gener-ation algorithm.The results of the study show that the all-day voltage distribution of different scenarios basically varies between volta-ges 1.0p.u.The lowest voltage values for scenario 1 are,respectively,0.351 p.u.,0.421 p.u.and 0.432 p.u.,and for scenario 2,the lowest voltage values are,respectively,0.543 p.u.,0.423 p.u.and 0.321 p.u..The charging and discharging process after planning for different scenarios is more adequate,and the energy storage system of the distribution grid in Scenario 1 operates more smoothly,and the release and filling of power can meet the operation of the distribution grid.The energy storage system of the distribu-tion grid in Scenario 2 is basically in the charging process,and this system are able to complete the power storage process at the cur-rent moment.It can be seen that the use of the improved column constraint generation algorithm can enhance the operation of the ener-gy storage system,which provides a new idea for the research in this field.
grid energy storage systemcolumn constraint generation algorithmsmoothoperating stateenergy loss
万方数据
维普
