基于改進螢火蟲算法的分布式電源的選址和定容

史吏 李先棟 張濤 許強 賈軒

摘? ?要：針對分布式電源的選址定容問題，提出了基于自適應遺傳機制的螢火蟲算法。首先，設計了以各節點電壓、可接入最大功率及線路電流作為約束條件，以配電網網損最小作為目標的配電網優化模型，其次，改進了遺傳算法中交叉、變異算子公式，并提出了改進的高斯擾動方法，將兩者應用到螢火蟲算法中，提高了螢火蟲算法全局尋優能力和收斂速度。最后，借助于MATLAB軟件，以IEEE33節點系統為例進行了測試，仿真結果與自適應遺傳算法進行了比較，證明了本方法的有效性和優越性。

關鍵詞：分布式電源;螢火蟲算法;自適應遺傳機制

中圖分類號：TM731? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?文獻標識碼：A

Siting and Sizing of Distributed Generation Based

on Improved Firefly Algorithm

SHI? Li LI? Xian-dong，ZHANG Tao，XU Qiang，JIA Xuan

（State Grid Liaocheng Electric Power Supply Company，Liaocheng，Shangdong 252000，China）

Abstract：In order to solve siting and sizing of distributed generation，the firefly algorithm based on adaptive genetics mechanism is presented. Firstly，regarding each node voltage，accessible maximum power，and line currents as constraints，the distribution network's minimum loss as objective function，designing the optimization model of distribution network;Secondly，the improved firefly algorithm is presented，adding to improved crossover and mutation operations of? genetic algorithm and improved Gauss perturbation，improves the global optimization ability and the convergence speed. Finally，experiments are conducted on IEEE33 node by means of MATLAB . Compared with the adaptive genetic algorithm，the results show that the improved algorithm is effective and superior.

Key words：distributed generation;firefly algorithm;adaptive genetics mechanism