Probabilistic energy flow for multi-carrier energy systems

被引:34
|
作者
Khorsand, Hosein [1 ]
Seifi, Ali Reza [1 ]
机构
[1] Shiraz Univ, Sch Elect & Comp Engn, Shiraz, Iran
来源
关键词
Multi-carrier energy system; Energy hub; Probabilistic; Monte Carlo simulation; Point estimate method; OPTIMAL POWER-FLOW; POINT ESTIMATE METHOD; DISTRICT-HEATING SYSTEM; MONTE-CARLO-SIMULATION; LOAD-FLOW; NATURAL-GAS; OPTIMIZATION; GENERATION; NETWORKS; CARRIERS;
D O I
10.1016/j.rser.2018.07.008
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper investigates energy flow of Multi-Carrier Energy Systems using Point Estimate Method and Monte Carlo simulation considering uncertainties, which may happen in the Electrical, Natural Gas, and District Heating Networks all together. These uncertainties could occur from the probabilistic behavior of loads or unforeseen faults. An innovative probabilistic energy flow of Multi-Carrier Energy Systems based on Point Estimate Method has been presented in this paper. Results for two different case studies are investigated and compared against those achieved from the Monte Carlo simulation. The results prove that the presented point estimate schemes have precise results, smaller computational burden, and time, comparing than Monte Carlo simulation method.
引用
收藏
页码:989 / 997
页数:9
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