Operation optimization modeling and uncertainty analysis for hybrid AC/DC microgrids

被引：0
|
作者：
Ding M. [1 ]
Chu M. [1 ]
Pan H. [1 ]
Xu Z. [1 ]
机构：
[1] Anhui Provincial Renewable Energy Utilization and Energy Saving Laboratory (Hefei University of Technology), Hefei
来源：
Chu, Mingjuan (mingjuan91@126.com) | 1600年 / Automation of Electric Power Systems Press卷 / 41期
关键词：
Evaluation; Hybrid AC/DC microgrid; Monte Carlo simulation; Operation optimization; Probability-based sampling;
D O I：
10.7500/AEPS20160531012
中图分类号：
学科分类号：
摘要：
As the operation optimization of hybrid AC/DC microgrids is affected by various uncertain factors, a framework for modeling the influence of these uncertain factors on the operation optimization of the microgrid should be established and the determination of the dominant factors is an important research field. Several uncertain factors, such as the fluctuant renewable energy output, load forecasting error, electricity price volatility, and component failure are analyzed and simulated. An operation optimization model of hybrid AC/DC microgrids is established based on the composite uncertainties mentioned above. Three comprehensive evaluation indices are proposed and analyzed from the perspectives of economy, environmental concerns and reliability, and an uncertainty evaluation is carried out using Monte Carlo simulation. The probability distribution of each evaluation index and the influence weight of each uncertainty factor are obtained. In the case study, the factors with a significant influence on the technical and economic indices are given through the proposed framework, which can provide reference for the operation optimization of hybrid AC/DC microgrids and the sensitivity analysis of the uncertain factors. © 2017 Automation of Electric Power Systems Press.
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页码：1 / 7and45
页数：744
相关论文
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