code(1)
所属分类：汇编语言
开发工具：matlab
文件大小：314KB
下载次数：8
上传日期：2020-12-23 21:46:21
上 传 者：
4hs22eas
说明： 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)
文件列表:
code\FObj.m (402, 2019-04-19)
code\globaloptim\AbstractGeneratedStartPointSet.m (5617, 2013-10-22)
code\globaloptim\AbstractGlobalSolver.m (14833, 2015-10-02)
code\globaloptim\AbstractStartPointSet.m (1656, 2013-10-22)
code\globaloptim\acceptancesa.m (1313, 2015-08-27)
code\globaloptim\allfeasible.m (1677, 2015-09-03)
code\globaloptim\annealingboltz.m (1407, 2015-08-27)
code\globaloptim\annealingfast.m (1381, 2015-08-27)
code\globaloptim\augLagFun.m (6053, 2013-10-22)
code\globaloptim\Contents.m (7373, 2016-02-10)
code\globaloptim\createOptimProblem.m (6901, 2014-01-06)
code\globaloptim\crossoverarithmetic.m (778, 2013-10-22)
code\globaloptim\crossoverheuristic.m (2638, 2015-09-02)
code\globaloptim\crossoverintermediate.m (2747, 2015-09-02)
code\globaloptim\crossoverscattered.m (2474, 2015-09-02)
code\globaloptim\crossoversinglepoint.m (2133, 2015-09-02)
code\globaloptim\crossovertwopoint.m (3040, 2015-09-02)
code\globaloptim\CustomStartPointSet.m (4717, 2015-10-02)
code\globaloptim\distancecrowding.m (1749, 2015-09-02)
code\globaloptim\fitscalingprop.m (1150, 2015-09-03)
code\globaloptim\fitscalingrank.m (716, 2015-09-03)
code\globaloptim\fitscalingshiftlinear.m (2861, 2015-09-03)
code\globaloptim\fitscalingtop.m (1558, 2015-09-03)
code\globaloptim\ga.m (16145, 2015-10-15)
code\globaloptim\gacreationlinearfeasible.m (8487, 2015-09-03)
code\globaloptim\gacreationnonlinearfeasible.m (6024, 2015-09-03)
code\globaloptim\gacreationuniform.m (2711, 2015-09-03)
code\globaloptim\gahistplotupdate.m (572, 2015-08-27)
code\globaloptim\gamultiobj.m (11770, 2015-10-15)
code\globaloptim\gamultiobjtooloutput.m (8576, 2015-11-20)
code\globaloptim\gaoptimget.m (3673, 2015-07-23)
code\globaloptim\gaoptimset.m (20970, 2015-09-23)
code\globaloptim\gaoutputfcntemplate.m (1785, 2015-09-03)
code\globaloptim\gaoutputfile.m (5126, 2015-09-03)
code\globaloptim\gaoutputoptions.m (707, 2015-09-03)
code\globaloptim\gaplotbestf.m (1888, 2015-09-09)
code\globaloptim\gaplotbestfun.m (490, 2015-08-26)
code\globaloptim\gaplotbestindiv.m (1232, 2015-09-09)
code\globaloptim\gaplotdistance.m (1726, 2015-09-09)
code\globaloptim\gaplotexpectation.m (1672, 2015-09-09)
... ...
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