✅作者简介：热爱科研的Matlab仿真开发者，修心和技术同步精进，matlab项目合作可私信。
🍎个人主页：Matlab科研工作室
🍊个人信条：格物致知。
⛄ 内容介绍
大规模电动汽车接入电力系统时,就会使得电力负荷的峰谷差和功率波动产生的巨大的影响,更严重的,还会超过电力系统的供电能力和承受能力,给电网的安全稳定运行带来巨大的挑战.在此背景下,首先对电动汽车充电负荷的影响因素进行了分析,根据电动汽车的充电特性建立起电动汽车充电负荷的模型.然后,基于粒子群算法对模型进行优化求解,使得电网负荷的峰谷差最小,约束条件为负荷波动和充电电量限制.通过仿真,与无序充电的情况做出对比,有序充电在平滑负荷波动,降低电网的峰谷差的方面有很好的'削峰填谷'的作用.
⛄ 部分代码
function [vehicle_info,vehicle] = vehicle_info3(n,vehicle_range)
%output vehicle info every moment
% n -- number of moments/iterations
% vehicle_range -- maximum number of vehicle each moment (can be different)
SOC = [10,90]; % state of charging (need to be changed to time)
time_max = 12*60/n; % max time each moment
vehicle = randi(vehicle_range,n-6,1); % number of vehicles each moment
vehicle_info = zeros(sum(vehicle),3); % [enteringTime,chargingTime,exitingTime] each moment
enteringTime = zeros(sum(vehicle),1);
for j = 1:n-6
% jth moment
for i = 1:vehicle(j)
enteringTime(sum(vehicle(1:j-1))+i) = round(time_max * rand) + (j-1)*time_max;
end
end
chargingTime = randi(SOC,sum(vehicle),1);
exitingTime = zeros(sum(vehicle),1);
for i = 1:sum(vehicle)
while exitingTime(i) < (enteringTime(i) + chargingTime(i))
exitingTime(i) = round(12*60*rand);
end
end
vehicle_info = vehicle_info + [enteringTime,chargingTime,exitingTime];
end
⛄ 运行结果
