联合分布网络的随机约束模型及其应用

Algorithm and Application of Joint Distribution Network Model with Stochastic Constraint

针对随机约束的联合分布网络模型是一种复杂的非线性模型,当工序数较多时难以求解,假设用一组单独的随机约束近似取代联合随机约束,则可得到某种确定性的线性等价模型。实例应用结果表明,采用线性等价法求解随机约束的联合分布网络模型,可得到较精确的网络参数。

Joint distribution network model with stochastic constraint is a complex nonlinear programming model,and it is hard to solve when there are many working procedures.To solve this model,let one certain equivalent linear model(ELM) be in a position to it instead joint distribution stochastic constraint of independent stochastic constraint.The validation of ELM is demonstrated through numerical simulation,and the parameter precision of network model satisfy different standard.