0, for positive real values of μ as μ approaches zero, wherein C·X is a cost function that models a smart building-grid energy, where C is a parameter matrix, X is a decision variable matrix, ABL(X), AEG(X), and AIF(X) are sparse constraint matrices, bBL, bEG, and bIF are constants derived from the constraints, and exploiting the sparsity of matrices ABL(X), AEG(X), and AIF(X) in determining a search direction for determining the vector X."/>
SEMIDEFINITE PROGRAMMING RELAXATION OF A CLASS OF ENERGY MANAGEMENT MODELS
首页>
外国专利>
SEMIDEFINITE PROGRAMMING RELAXATION OF A CLASS OF ENERGY MANAGEMENT MODELS
SEMIDEFINITE PROGRAMMING RELAXATION OF A CLASS OF ENERGY MANAGEMENT MODELS
展开▼
机译：一类能源管理模型的准半规划松弛
展开▼
页面导航
摘要
著录项
相似文献
摘要
According to an aspect of the invention, there is provided a method for optimizing a cost of electric power generation in a smart site energy management model, including determining a matrix X that minimizes a semidefinite program C·X−μ ln(det(X)) subject to constraints ABL(X)=bBL, AEG(X)=bEG, AIF(X)=bIF, X0, for positive real values of μ as μ approaches zero, wherein C·X is a cost function that models a smart building-grid energy, where C is a parameter matrix, X is a decision variable matrix, ABL(X), AEG(X), and AIF(X) are sparse constraint matrices, bBL, bEG, and bIF are constants derived from the constraints, and exploiting the sparsity of matrices ABL(X), AEG(X), and AIF(X) in determining a search direction for determining the vector X.
展开▼
机译：根据本发明的一个方面，提供了一种用于在智能站点能量管理模型中优化发电成本的方法，该方法包括确定最小化半定程序C·X-μln（det（X）的矩阵X ）受约束A BL （X）= b BL ，A EG （X）= b EG ， A IF （X）= b IF ，X <图像alt =“ custom-character” file =“ US20140200868A1-20140717-P00001.GIF” he =“ 2.79mm” imgContent =“ character” imgFormat =“ GIF” wi =“ 2.46mm” /> 0，当μ接近零时，μ的正实数值，其中C·X是模拟智能建筑电网能源的成本函数，其中C是参数矩阵，X是决策变量矩阵，A BL （X），A EG （X）和A IF （X ）是稀疏约束矩阵，b BL ，b EG 和b IF 是从约束导出的常数，并利用矩阵A的稀疏性确定中的 BL （X），A EG （X）和A IF （X）确定用于确定向量X的搜索方向。
展开▼
