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Multiple stochastic correlations modeling for microgrid reliability and economic evaluation using pair-copula function

机译:基于对数关联函数的微电网可靠性和经济评估的多随机关联建模

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摘要

The hourly wind speed, solar insolation and load power have probabilistic characteristics. However, among them, there are multiple stochastic correlations that are difficult to be modeled using traditional methods. This paper presents a stochastic correlation modeling method using the pair-copula function to capture the multiple stochastic correlations among wind speed, solar insolation and load power. This paper also presents the procedure for generating a synthetic set of stochastic correlated data based on pair-copula function. The proposed modeling method and data generating procedure are incorporated into microgrid reliability and economic evaluation using sequential Monte Carlo simulation. A test on IEEE-RBTS shows the effectiveness of the pair-copula function based reliability and economic assessment method. (C) 2015 Elsevier Ltd. All rights reserved.
机译:每小时风速,日照和负载功率具有概率特征。但是,其中有多种随机相关性很难使用传统方法建模。本文提出了一种使用对数关联函数的随机相关建模方法,以捕获风速,日照强度和负载功率之间的多个随机相关性。本文还介绍了基于对关联函数生成随机相关数据综合集的过程。所提出的建模方法和数据生成过程已通过顺序蒙特卡洛模拟被纳入微电网可靠性和经济评估中。 IEEE-RBTS上的测试表明了基于对关联函数的可靠性和经济性评估方法的有效性。 (C)2015 Elsevier Ltd.保留所有权利。

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