Optimal Scheduling Based on the CVaR Method for Regional Integrated Energy System with High Proportion Photovoltaic

被引:0
作者
Wang C. [1 ,2 ]
Sun J. [3 ]
Xu Q. [1 ]
Ge J. [3 ]
机构
[1] School of Electrical Eng., Southeast Univ., Nanjing
[2] China Electric Power Research Inst., Nanjing
[3] College of Energy and Electrical Eng., Hohai Univ., Nanjing
来源
Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences | 2023年 / 55卷 / 02期
关键词
conditional value at risk (CVaR); distributed energy sources; energy storage; high proportion photovoltaic; multi-timescale;
D O I
10.15961/j.jsuese.202200787
中图分类号
学科分类号
摘要
Driven by the goal of “double carbon”, the distributed energy sources represented by the photovoltaic (PV), is being integrated into the distribution power system and the distribution gas system on a large scale. The coupling between the two systems also has become closer, which brings new opportunities for the construction of low-carbon sustainable energy systems. However, the stochastic nature of distributed energy sources inevitably creates potential operational risks between the two systems. Based on this, this paper proposed a multi-timescale optimal scheduling model for regional integrated energy systems with high proportional PV penetration. Firstly, a day-ahead scheduling model of the electricity-gas integrated regional energy system considering energy storage devices was established under the premise of high PV penetration. The model was linearized by using the second-order-cone relaxation. Secondly, based on the theoretical basis of the CVaR risk assessment model, the loss function was established and simplified. Thirdly, the CVaR risk assessment model was considered in the real-time scheduling process. The real-time scheduling model of the regional integrated energy system considering the CVaR risk assessment was established to balance the risk cost caused by the renewable energy uncertainty under different risk attitudes. Finally, the two aforementioned models were combined. Thus the regional integrated energy system day-ahead-real-time multi-timescale scheduling model was established to analyze the interaction and energy flow between the regional power system and the regional gas system. The model was validated by different load intensity scenarios in the case analysis. The changes of system power purchase and different parameters of equipment operations under different scenarios were also analyzed. The results show that the proposed model can effectively mitigate the operational risks caused by the random fluctuations of new energy sources. At the same time, the operational regulation of the coupled equipment can promote the coupled operation of the regional integrated energy system and achieve good economic benefits. © 2023 Editorial Department of Journal of Sichuan University. All rights reserved.
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页码:97 / 106
页数:9
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