Hamidreza Eskandari - Emad Semicon Co, ۲ nd floor, no.۱۳۳, Fatemi Ave. Tehran, Iran.
Mohammad Asgharpour - Iran University of Science and Technology, Department of Industrial Engineering Tehran, Iran

Multiple attribute decision making (MADM) methods have been widely used in power systems decision problems. This paper presents an enhanced MADM method to help decision makers (DMs) study the influencing factors in the design of power systems. In many MADM problems, however, the information available to the DM is often imprecise due to the inaccurate measurements and inconsistent priority judgements. The proposed MADM methodology is based on the analytical hierarchy process (AHP) incorporated into the construction procedure of linear additive utility models to quantify the various divergences of opinions, practices and events that lead to confusion and uncertainties in planning. Such practice could help the DM gain insight into how the imprecise data may affect their choice toward the best solution and how a set of acceptable alternatives may be identified with certain confidence. Sample case study in the design of a hybrid solar-wind power system (HSWPS) is provided to illustrate the concepts introduced in this paper. Factors in planning the design of a HSWPS relate mainly to political and social conditions, and to technical advances and economics.

Power systems; Multiple Attribute Decision Making (MADM); Analytical Hierarchy Process (AHP); Uncertainty; Composite Priority Variance