【论文推荐】北京交通大学 王小君等:考虑源荷相关性的综合能源系统越限风险评估方法

文摘   2024-09-11 08:03   芬兰  

摘要

综合能源系统中源荷多重不确定性及相关性导致电压、温度和压力等系统运行状态存在越限风险,需要适用于综合能源系统的高效概率能流计算方法与风险评估理论。本文计及电热气多种能源耦合条件,考虑风光与多类型负荷的不确定性及相关性,提出基于多项式混沌展开的电-热-气综合能源系统概率能流计算方法,准确高效计算各系统状态变量的越限概率。为进一步评估并量化不确定性因素对越限风险的影响,基于协方差分析理论,提出计及源荷相关性的综合能源系统全局灵敏度分析方法,识别影响系统稳定运行的关键不确定性因素。仿真结果表明,所提方法具有与蒙特卡洛法相同的精度且显著缩短了计算时间,能够有效量化评估源荷多重不确定性造成的越限风险。

Over-limit risk assessment method of integrated

考虑源荷相关性的综合能源系统越限风险评估方法

Ying Wang, Xiaojun Wang, Yizhi Zhang, Yigang Zhang, Zekai Xu


1.School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044,P.R.China

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Abstract

In an integrated energy system, source-load multiple uncertainties and correlations lead to an over-limit risk in operating state, including voltage, temperature, and pressure over-limit. Therefore, efficient probabilistic energy flow calculation methods and risk assessment theories applicable to integrated energy systems are crucial. This study proposed a probabilistic energy flow calculation method based on polynomial chaos expansion for an electric-heat-gas integrated energy system. The method accurately and efficiently calculated the over-limit probability of the system state variables, considering the coupling conditions of electricity, heat, and gas, as well as uncertainties and correlations in renewable energy unit outputs and multiple types of loads. To further evaluate and quantify the impact of uncertainty factors on the over-limit risk, a global sensitivity analysis method for the integrated energy system based on the analysis of covariance theory is proposed. This method considered the source-load correlation and aimed to identify the key uncertainty factors that influence stable operation. Simulation results demonstrated that the proposed method achieved accuracy to that of the Monte Carlo method while significantly reducing calculation time. It effectively quantified the over-limit risk under the presence of multiple source-load uncertainties.

Keywords

Probabilistic energy flow; Polynomial chaos expansion; Correlation; Risk assessment; Analysis of covariance

Fig. 1 The process of over-limit risk assessment based on sensitivity analysis

Fig. 2 Topology diagram of the standard IES

Fig. 3 Probability density of voltage amplitude at power grid node 24

Fig. 4 Relative errors in the expectations for supply water temperature and pressure

Fig. 5 Voltage over-limit probability of power grid node

Fig. 6 Samples of random variables considering the correlation

Fig. 7 First-order sensitivity indexes of the voltage amplitude of node 24

Fig. 8 Sensitivity indexes corresponding to different heat load fluctuations

Fig. 9 Sensitivity indexes corresponding to different heat load correlations

本文引文信息

Wang Y, Wang XJ, Zhang YZ, et al. (2023) Over-limit risk assessment method of integrated energy system considering source-load correlation, Global Energy Interconnection, 6(6): 661-674


王英,王小君,张义志等 (2023) 考虑源荷相关性的综合能源系统越限风险评估方法. 全球能源互联网(英文), 6(6): 661-674

Biographies

Ying Wang

is working toward his master’s degree at Beijing Jiaotong University.His research interests include modeling and optimization of integrated energy system.

Xiaojun Wang

received his Ph.D.degree at North China Electric Power University.His research interests include optimization of integrated energy system and control of power system.Currently he is working as Professor in Beijing Jiaotong University.

Yizhi Zhang

received Ph.D.degree at Beijing Jiaotong University.His research interests include modeling and optimization of integrated energy system.

Yigang Zhang

is working toward his master’s degree at Beijing Jiaotong University.His research interests include application of game theory in integrated energy systems.

Zekai Xu

is working toward his master’s degree at Beijing Jiaotong University.His research interests include regulation of flexible resources and optimization of integrated energy system.

编辑:王彦博

审核:王   伟


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