基于改进人工鱼群算法的输电网规划  

Transmission Network Planning Based on Improved Artificial Fish Swarm Algorithm

作　　者：李传虎[1] 王林川[1] 刘萍[1] 王坤[1] 

机构地区：[1]东北电力大学,吉林吉林132012

出　　处：《四川电力技术》2010年第1期52-55,共4页Sichuan Electric Power Technology

摘　　要：对传统的输电网规划模型增加考虑不确定信息因素的影响,建立了不确定因素影响下的数学模型,使得规划后的网络具有一定的剩余容量以适应未来不确定负荷的变化,可以满足未来小幅度的负荷波动以及未来短时的大幅度区域负荷增长的不确定性。使用改进的人工鱼群算法可以快速有效地求解该模型。24节点系统算例的计算结果验证了模型及算法的正确性及有效性。The influence of uncertain information factors to the traditional transmission network planning model is considered, and the mathematical model of transmission network planning under the uncertain factors is established, which receives a cer- tain residual capacity to meet the changes of uncertain load in the future. It can satisfy the uncertainties including the fluctua- tion of small load and the short - time load increasing greatly of big area in the future. Using the improved artificial fish swarm algorithm can solve the model quickly and effectively. The calculation results of 24 -node system prove that the mathematical model and the algorithm are correct and effective.

关 键 词：输电网规划 不确定负荷 人工鱼群算法 

分 类 号：TM715[电气工程—电力系统及自动化]