Calculation and Auxiliary Analysis of Power Grid Planning Framework Based on Improved QPSO Algorithm
In the current power system,the diversity of power grid operation methods leads to the traditional planning and grid verification methods no longer being suitable.Therefore,an improved quantum particle swarm optimization(QPSO)algorithm is adopted for the calculation and auxiliary analysis of the power grid planning framework.Research finds that the success rate of tabu QPSO hybrid algorithm is extremely high,approaching 100％.Moreover,this algorithm exhibits advantages in reduc-ing the cost of power grid purchase and the total cost of grid planning,which are reduceed to 667 400 yuan and 4 983 700 yuan,which are significantly lower than existing calculation methods.The results indicate that the tabu QPSO hybrid algorithm has excellent performance and significant economic benefits in power grid planning.
万方数据
维普
