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Uncertainty analysis of an integrated energy system based on information theory

Xueqian Fu, Hongbin Sun, Qinglai Guo, Zhaoguang Pan, Wen Xiong and Li Wang

Energy, 2017, vol. 122, issue C, 649-662

Abstract: Currently, a custom-designed configuration of different renewable technologies named the integrated energy system (IES) has become popular due to its high efficiency, benefiting from complementary multi-energy technologies. This paper proposes an information entropy approach to quantify uncertainty in an integrated energy system based on a stochastic model that drives a power system model derived from an actual network on Barry Island. Due to the complexity of co-behaviours between generators, a copula-based approach is utilized to articulate the dependency structure of the generator outputs with regard to such factors as weather conditions. Correlation coefficients and mutual information, which are effective for assessing the dependence relationships, are applied to judge whether the stochastic IES model is correct. The calculated information values can be used to analyse the impacts of the coupling of power and heat on power flows and heat flows, and this approach will be helpful for improving the operation of IES.

Keywords: Photovoltaic; Combined heat and power; Electric air conditioner; Integrated energy systems (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (25)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:122:y:2017:i:c:p:649-662

DOI: 10.1016/j.energy.2017.01.111

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