Stochastic framework for planning studies of energy systems: a case of EHs

被引：21

作者：

Taheri, Saman ^{[1
]}

Ghoraani, Rahim ^{[2
]}

Pasban, Ali ^{[1
]}

Moeini-Aghtaie, Moein ^{[1
]}

Safdarian, Amir ^{[2
]}

机构：

[1] Sharif Univ Technol, Dept Energy Engn, Azadi Ave, Tehran, Iran

[2] Sharif Univ Technol, Dept Elect Engn, Azadi Ave, Tehran, Iran

来源：

IET RENEWABLE POWER GENERATION | 2020年 / 14卷 / 03期

关键词：

stochastic processes; probability; power system planning; energy harvesting; step-by-step algorithm; EH; operational planning studies; stochastic planning framework; energy hub systems; probability transformation concept; relative-likelihood impact; DEMAND RESPONSE; WIND; HUB; DESIGN; OPTIMIZATION; LOAD; UNCERTAINTY; GENERATION; MANAGEMENT; REDUCTION;

D O I：

10.1049/iet-rpg.2019.0642

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The substantial presence of different uncertainties in energy systems highlights the need for probabilistic analysis of operational and planning studies. Motivated by this fact, a new stochastic planning framework for energy hubs (EHs) is presented in this study based on the probability transformation concept. In the proposed framework, a measure of relative-likelihood impact is developed to estimate the importance of uncertainty sources in the studies, which, in turn, can remarkably reduce the overall complexity of stochastic problems. Step-by-step algorithm for implementation of the proposed framework on planning studies of an EH is also addressed in this study. Three different case studies are introduced, and the results provide some insightful information regarding the impact of different uncertainty sources in the system.

引用

页码：435 / 444

页数：10

共 43 条

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