风电机组：
电价0.6
Pw_max=[2,1,3,4,5,5,4,2,3,5,5,1,2,4,5,5,5,4,3,5,3,3,2,4];
光伏：
电价0.9
Pf_max=[0,0,0,0,0,0,1,2,3,4,5,5,5,5,4,3,1,0,0,0,0,0,0,0];
热电机组：


电价 0.4
成本
标准煤价格 500元
电加热：



功率平衡约束：

QL=[18,16,12,16,18,20,14,22,12,18,4,20,6,8,4,2,6,8,10,12,14,4,6,2];

PL=[4,3,6,9,1,2,2,3,6,4,5,7,8,2,1,4,5,6,3,5,6,3,4,2];

初期投资：

初期折旧：

维护：

日总费用

环境成本

弃风弃光成本

目标函数

总的模型
　　

求解方法遗传算法(Wind Turbine:
　Electricity price 0.6
Pw_max=[2,1,3,4,5,5,4,2,3,5,5,1,2,4,5,5,5,4,3,5,3,3,2,4 ];
Photovoltaic:
　Electricity price 0.9
Pf_max=[0,0,0,0,0,0,1,2,3,4,5,5,5,5,4,3,1,0,0,0,0,0,0,0 ];
Thermal power unit:


Electricity price 0.4
Cost
Standard coal price 500 yuan
Electric heating:



Power balance constraints:

QL=[18,16,12,16,18,20,14,22,12,18,4,20,6,8,4,2,6,8,10,12,14,4,6,2 ];

PL=[4,3,6,9,1,2,2,3,6,4,5,7,8,2,1,4,5,6,3,5,6,3,4,2 ];

Initial investment:

Initial depreciation:

maintain:

Total daily cost

Environmental cost

Cost of abandoning wind and light

Objective function

Overall model
To

Genetic algorithm)