基于改进萤火虫算法的分布式电源的选址和定容
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引用本文:史吏,李先栋,张涛,许强,贾轩.基于改进萤火虫算法的分布式电源的选址和定容[J].计算技术与自动化,2019,(4):91-96
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史吏,李先栋,张涛,许强,贾轩 (国网聊城供电公司山东 聊城252000) 
中文摘要:针对分布式电源的选址定容问题,提出了基于自适应遗传机制的萤火虫算法。首先,设计了以各节点电压、可接入最大功率及线路电流作为约束条件,以配电网网损最小作为目标的配电网优化模型,其次,改进了遗传算法中交叉、变异算子公式,并提出了改进的高斯扰动方法,将两者应用到萤火虫算法中,提高了萤火虫算法全局寻优能力和收敛速度。最后,借助于MATLAB软件,以IEEE33节点系统为例进行了测试,仿真结果与自适应遗传算法进行了比较,证明了本方法的有效性和优越性。
中文关键词:分布式电源  萤火虫算法  自适应遗传机制
 
Siting and Sizing of Distributed Generation Basedon Improved Firefly Algorithm
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.
keywords:distributed generation  firefly algorithm  adaptive genetics mechanism
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