基于大猩猩优化算法的配电网重构研究

Research on Distribution Network Reconfiguration Based on Gorilla Optimization Algorithm

为了能够更好地解决配电网重构的相关问题,构建了以最小有功网损为目标函数的有源配电网重构模型;为了提升模型的求解效率,引入大猩猩优化算法应用到模型的求解中,并使用IEEE33节点算例对有源配电网重构模型进行了验证分析。通过多种算法的结果对比,表明该算法具备更好的寻优效率,更快的收敛速度,从而验证了其在配电网重构模型求解中应用的有效性和实用性。

This research constructed an active distribution reconstruction model which took minimum active power loss as the objective function for solving the relative problem of distribution network reconfiguration.In addition this paper applied the gorilla optimization algorithm to the model,improving the efficiency to solve the problem.Moveover,it used the IEEE33 node example to verify and analyze the active distribution network reconstruction model.The comparison results show that the algorithm has better efficiency and faster convergence speed.It verifies that in the solution of the distribution network reconfiguration model,this algorithm is more effective and practical.