基于PSO粒子群多目标优化的微电网调度算法matlab仿真-EW帮帮网

1.课题概述

2.系统仿真结果

3.核心程序

4.系统原理简介

1.课题概述

微电网优化调度的核心是在满足系统约束（如功率平衡、设备出力限制等）的前提下，通过合理分配分布式电源（DG，含光伏PV、风机WT、柴油发电机DE、微型燃气轮机MT）与储能（BESS）的出力、微电网与主网的交互功率，实现 “运行成本最低” 与 “环境保护成本最低” 的双目标平衡，最终追求总成本最小化。

2.系统仿真结果

3.核心程序

matlab2024b

figure
subplot(121);
plot(pg_PV,'-b^',...
    'LineWidth',1,...
    'MarkerSize',6,...
    'MarkerEdgeColor','k',...
    'MarkerFaceColor',[0.2,0.9,0.5]);

hold on;
plot(PV,'-k<',...
    'LineWidth',1,...
    'MarkerSize',6,...
    'MarkerEdgeColor','k',...
    'MarkerFaceColor',[0.9,0.3,0.3]);

xlim([1 24])
grid
legend('实际消纳光伏功率','预测光伏功率');
xlabel('时间');
ylabel('功率');
title('光伏发电机')


subplot(122);
plot(pg_WT,'-b^',...
    'LineWidth',1,...
    'MarkerSize',6,...
    'MarkerEdgeColor','k',...
    'MarkerFaceColor',[0.2,0.9,0.5]);

hold on;
plot(WT,'-k<',...
    'LineWidth',1,...
    'MarkerSize',6,...
    'MarkerEdgeColor','k',...
    'MarkerFaceColor',[0.9,0.3,0.3]);

xlim([1 24])
grid
legend('实际消纳风电功率','预测风电功率');
xlabel('时间');
ylabel('功率');
title('风力发电机')



figure
subplot(321);
plot(pg_DE,'-r>',...
    'LineWidth',1,...
    'MarkerSize',6,...
    'MarkerEdgeColor','k',...
    'MarkerFaceColor',[0.9,0.9,0.0]);

hold on;
xlim([1 24])
grid
xlabel('时间');
ylabel('功率');
title('柴油发电机')

subplot(322);
plot(pg_BESS,'-r>',...
    'LineWidth',1,...
    'MarkerSize',6,...
    'MarkerEdgeColor','k',...
    'MarkerFaceColor',[0.9,0.9,0.0]);

xlim([1 24])
grid
xlabel('时间');
ylabel('功率');
title('蓄电池')


subplot(323);
plot(P_load,'-r>',...
    'LineWidth',1,...
    'MarkerSize',6,...
    'MarkerEdgeColor','k',...
    'MarkerFaceColor',[0.9,0.9,0.0]);

xlim([1 24])
grid
xlabel('时间');
ylabel('功率');
title('微电网负荷')

subplot(324);
plot(pg_MT,'-r>',...
    'LineWidth',1,...
    'MarkerSize',6,...
    'MarkerEdgeColor','k',...
    'MarkerFaceColor',[0.9,0.9,0.0]);

grid
xlabel('时间');
ylabel('功率');
title('燃气轮机出力')



subplot(3,2,[5,6]);
plot(pg_grid,'-r>',...
    'LineWidth',1,...
    'MarkerSize',6,...
    'MarkerEdgeColor','k',...
    'MarkerFaceColor',[0.9,0.9,0.0]);
xlim([1 24])
grid
xlabel('时间');
ylabel('功率');
title('主网交互')
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