Trade off methods in system planning

Abstract

Theoretical advances in multiobjective planning with uncertainty are described. The trade off/risk method is described and a case study is presented in which trade off/risk contributed to the analysis of resource planning options. This approach to decision making allows the identification of robust plans which may not be optimal but represent a reasonable compromise. Uncertainty can be modeled probabilistically or as unknown but bounded variables without a probability structure. The methodology is applied in a resource planning test case for Bonneville Power Administration (BPA). It is concluded that this method can be used in a host of system planning applications as an extension of the models and tools currently used.