机构地区: 浙江大学电气工程学院
出 处: 《电力系统自动化》 2010年第5期18-23,共6页
摘 要: 黑启动决策支持系统是智能电网的重要辅助决策工具。实际的黑启动决策一般是由多个决策者(如调度人员和/或其他电力专家)进行群体决策的。现有的黑启动方案评估方法绝大部分属于多属性个体决策方法,迄今未见黑启动群体决策方法方面的研究报道。在此背景下,提出了一种基于群决策特征根法的黑启动群决策优化方法,其根据Perron-Frobenius定理的推论,通过求解矩阵的最大正特征根对应的正特征向量,即可得到理想黑启动决策专家的综合评估值向量,之后利用数值代数中的幂法来求解该优化决策问题。最后,通过算例验证了该方法的合理性和有效性。算例分析表明该方法在一定程度上弥补了黑启动个体决策方法的不足,丰富了黑启动决策支持方法。 A black-start decision support system is an important component of a smart grid.Up to now,research work on the decision-making of black-start strategies is mainly focused on individual decision-making methods,and no research work is reported on group decision-making ones.In practice,black-start decision-making is usually made by several decision makers,such as power dispatchers/domain experts,rather than by an individual one.Hence,it appears necessary to investigate the application of the group decision-making method to the development of optimal black-start strategies.Given this background,a group eigenvalue method is presented for the black-start decision-making.The positive eigenvectors associated with the maximal positive eigenvalue can be obtained with the application of the Perron-Frobenius theorem,and then the integrated evaluating value of the ideal black-start decision-making expert can be attained.The power method in the numerical algebra is employed to deal with the optimization problem associated with the group black-start decision-making.Finally,a numerical example is served for demonstrating the reasonableness and effectiveness of the developed method.It is demonstrated by case studies that the inherent shortcoming of the individual decision-making methods in evaluating black-start strategies could be overcome at least to some extent.
关 键 词: 智能电网 黑启动 决策支持系统 多属性群决策 群决策特征根法
领 域: [电气工程]