最低的线性优化
在PYOMO中编码优化问题时遇到困难。
我有一个负载轮廓,电池系统,PV和风系统。
我的目标是最大程度地降低系统的成本。
p1-加载的风力 P2- PV加载功率 电池电量 P4-PV电池电源 加载P5电池的力量 SOC - 负责
目标 最小化成本(P3+P4+P5)(资本成本+运营费用)
约束 P1(T)+P2(T)+P(5)= PL(T) 负载要求的权力总是传递 p1(t)+ p3(t)=< pw(t) 风提供的电源不能超过其容量 p2(t)+ p4(t)=< pw(t) PV提供给负载的功率不能超过其容量
SOC Min =< SOC(t)=< Soc Max 电池的充电状态不能超过其限制
SOC(T)= S0C(T-1)+P3(T)+P4(T)-P5(t),
以上时给予的充电状态。
L如何在PYOMO中优化此问题。
l'm having trouble coding an optimization problem in pyomo.
I have a load profile , battery system , PV , and wind system.
My objective is to minimize the cost of the system.
P1- Wind power to load
P2- PV power to load
P3-Wind power to battery
P4-PV power to battery
P5-Battery power to load
SOC -state of charge
Objective
minimize costs (P3+P4+P5)(capital cost + operating expenses)
Constrains
p1(t)+p2(t)+p(5)=PL(t)
The power demanded by the load is always delivered
p1(t)+ p3(t)=<PW(t)
The power supplied to the load by the wind cannot exceed its capacity
p2(t)+ p4(t)=<PW(t)
The power supplied to the load by the PV cannot exceed its capacity
SOC min =<SOC(t)=<SOC max
The state of charge of a battery cannot exceed its limits
SOC(t)=S0C(t-1)+P3(t)+P4(t)-p5(t)
The state of charge at time is given by the above.
How can l optimize this problem in PYOMO.
如果你对这篇内容有疑问,欢迎到本站社区发帖提问 参与讨论,获取更多帮助,或者扫码二维码加入 Web 技术交流群。

绑定邮箱获取回复消息
由于您还没有绑定你的真实邮箱,如果其他用户或者作者回复了您的评论,将不能在第一时间通知您!
发布评论