一、微网系统运行优化模型
微电网优化模型介绍:
二、墨西哥蝾螈优化算法MAO
墨西哥蝾螈优化算法(Mexican Axolotl Optimization,MAO)由Yenny Villuendas-Rey 1等人于2021年提出,该算法具有较强的平衡全局搜索与局部搜索能力
![](https://file.jishuzhan.net/article/1712644232201637889/b1962fb0ed509f5858ba7d76b0ca75f2.webp)
参考文献:
[1]Villuendas-Rey, Yenny, José Luis Velázquez-Rodríguez, Mariana Dayanara Alanis-Tamez, Marco Moreno-Ibarra and Cornelio Yáñez-Márquez. "Mexican Axolotl Optimization: A Novel Bioinspired Heuristic. " Mathematics 9 (2021): 781.
三、墨西哥蝾螈优化算法MAO求解微电网优化
(1)部分代码
close all;
clear ;
clc;
global P_load; %电负荷
global WT;%风电
global PV;%光伏
%%
TestProblem=1;
[lb,ub,dim,fobj] = GetFunInfo(TestProblem);
SearchAgents_no=50; % Number of search agents
Max_iteration=500; % Maximum number of iterations
[Best_score,Xbest,Convergence_curve]=MAO(SearchAgents_no,Max_iteration,lb,ub,dim,fobj);
%% 画结果图
figure(1)
semilogy(Convergence_curve,'r-','linewidth',2);
legend('MAO');
xlabel('迭代次数')
ylabel('运行成本与环境保护成本之和')
(2)部分结果
![](https://file.jishuzhan.net/article/1712644232201637889/d76716efb08dc8ed68068398207ff17c.webp)
![](https://file.jishuzhan.net/article/1712644232201637889/a51f58e91055fea8d440065357644924.webp)
![](https://file.jishuzhan.net/article/1712644232201637889/6ab6139a7fa1b2775c3e8715dc3c51bd.webp)
![](https://file.jishuzhan.net/article/1712644232201637889/1d678ffb291f5b8e9707bac04b16d54d.webp)
![](https://file.jishuzhan.net/article/1712644232201637889/e32d639c2fb65170fd70622df06b72bc.webp)