Decision making under uncertainty in energy systems: State of the art

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

卷:28

Review

Soroudi, Alireza¹  Amraee, Turaj² 

[1] Univ Tehran, Fac New Sci & Technol, Tehran, Iran

[2] KN Toosi Univ Technol, Dept Elect Engn, Tehran, Iran

关键词: Fuzzy arithmetic;    Info-gap decision theory;    Probabilistic modeling;    Robust optimization;    Interval based analysis;    Z-number;   

DOI  :  10.1016/j.rser.2013.08.039

来源: Elsevier

【 摘 要 】

The energy system studies include a wide range of issues from short term (e.g. real-time, hourly, daily and weekly operating decisions) to long term horizons (e.g. planning or policy making). The decision making chain is fed by input parameters which are usually subject to uncertainties. The art of dealing with uncertainties has been developed in various directions and has recently become a focal point of interest. In this paper, a new standard classification of uncertainty modeling techniques for decision making process is proposed. These methods are introduced and compared along with demonstrating their strengths and weaknesses. The promising lines of future researches are explored in the shadow of a comprehensive overview of the past and present applications. The possibility of using the novel concept of Z-numbers is introduced for the first time. (C) 2013 Elsevier Ltd. All rights reserved.

【 授权许可】

Free