An interval type-2 fuzzy stochastic approach for regional-scale electric power system under parameter uncertainty

ABSTRACT

In this study, an interval type-2 fuzzy stochastic linear programming method (IT2FSLP) is developed to support regional-scale electric power system (REM) planning. The IT2FSLP-REM model is based on an integration of interval type-2 fuzzy sets boundary programming and stochastic linear programming techniques enable it to have robust abilities to the deal with uncertainties expressed as type-2 fuzzy intervals and probabilistic distributions within a general optimization framework. Moreover, it can reflect dynamic decisions for energy supply and energy conversion processes, as well as provide capacity expansion options with multiple periods. The developed model is applied to a case of planning regional-scale energy and environmental systems to demonstrate its applicability. Based on a two-step solution algorithm, reasonable solutions have been obtained, which reflect tradeoffs among economic cost, environmental requirements, and energy-supply security. Thus, the lower and upper solutions of IT2FSLP-REM would then help energy authorities adjust or justify allocation patterns of regional energy resources and services.

KEYWORDS:

• Interval type-2 fuzzy
• stochastic
• linear programming
• regional-scale electric power system

Additional information

Funding

This research was supported Fujian Young and Middle-aged Teacher Education Research Foundation (JAT170424), Natural Science Foundation of Fujian Province (2018J01527). The writers are very grateful to the editor and the anonymous reviewers for their insightful comments and suggestions.