DESIGN AND APPLICATION OF A MULTI-ATTRIBUTE DECISION-MAKING SYSTEM FOR POWER SYSTEM PLANNING
Xin Wang, TD Qiushi · 2005
To improve the insufficiency of multi-attribute decision-making (MADM) ability of existing power system planning software in processing the factors with multi-indeterminacy, an interval analytical hierarchy process (IAHP) based visualized MADM system for power system planning, in which both advantages of machine calculation and human experience can be combined, is developed. By means of friendly man-machine interaction and integrating with experts’ experience, the interval-based AHP models can carry out comprehensive evaluation and decision-making on the superiority of alternatives, in the decision-making process the quantitative or qualitative factors can be comprehensively taken into account and the indeterminacy of the factors and vague of experts’ judgement can also be dealt with. This system is designed especially for the power system planning decision-making problem, which integrates some hierarchy templates (e.g. substation sites, network alternatives comparison) commonly used in planning. The software is developed under Visual Studio.Net environment, in which VB is adopted to develop visual interfaces and VC++ is used to implement background algorithms. Ultimately, it is integrated with a widely applied package for urban power system planning. The practical case shows that this software is an effective tool for solving MADM problem in power system planning.