基于稀疏多项式混沌展开的区域电-气联合系统全局灵敏度分析

doi:10.19595/j.cnki.1000-6753.tces.190706

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Abstract There are plenty of uncertainties in the integrated electricity and gas system (IEGS). Accurately assessing the impact of these uncertainties on the system is an important part of the IEGS planning and operation. In this paper, the regional IEGS is taken as the research object. Considering the uncertainties of electricity/gas loads, photovoltaic power supply and gas pipelines parameters, a global sensitivity analysis method based on Sobol′ method and sparse polynomial chaos expansion (sPCE) is proposed. The regional IEGS composed of the IEEE 13 power distribution network and an 11-node gas distribution network is used to verify the correctness and effectiveness of the proposed method. The simulation results show that the global sensitivity indexes can quantify the influence of various uncertain variables and their interactions on the operation of the integrated system, which help reveal the complex relationship between the operation state of the integrated system and various uncertain factors. The simulation results also demonstrate the significant influence of the correlations between the uncertain variables and the uncertainties of gas pipelines parameters on the global sensitivity analysis.

Key words： Integrated electricity and gas system (IEGS) uncertainties gas pipelines parameters global sensitivity sparse polynomial chaos expansion (sPCE)

Received: 14 June 2019

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TM744

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	Hu Xiaoyun
	Zhao Xia
	Feng Xinxin

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Hu Xiaoyun,Zhao Xia,Feng Xinxin. Global Sensitivity Analysis for Regional Integrated Electricity and Gas System Based on Sparse Polynomial Chaos Expansion[J]. Transactions of China Electrotechnical Society, 2020, 35(13): 2805-2816.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.190706 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I13/2805

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