Operation Strategy of Rail Transit Green Energy System Considering Uncertainty Risk of Photovoltaic Power Output

被引:0
作者
Chen, Yanbo [1 ,2 ,3 ,4 ]
Tian, Haoxin [1 ]
Zheng, Guodong [1 ]
Liu, Yuxiang [1 ]
Grbic, Maja [5 ]
机构
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewable, Beijing 102206, Peoples R China
[2] Qinghai Univ Technol, Sch Engn, Xining 810016, Peoples R China
[3] Qinghai Univ, New Energy Photovolta Ind Res Ctr, Xining 810016, Peoples R China
[4] Qinghai Univ, Key Lab Smart Operat New Energy Power Syst, Minist Educ, Xining 810016, Peoples R China
[5] Univ Belgrade, Nikola Tesla Elect Engn Inst, Belgrade 11000, Serbia
基金
北京市自然科学基金;
关键词
Photovoltaic systems; Rails; Load modeling; Costs; Uncertainty; Fluctuations; Power generation; Rail transit green energy system; improved light robust (ILR) optimization; two-step load check; time resolution; operation strategy;
D O I
10.35833/MPCE.2023.000788
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The integration of photovoltaic power generation is a new development into the traction power supply system (TPSS). However, traditional research on the TPSS operation strategy has not fully considered the risk of uncertainty in photovoltaic power output. To this end, we propose an operation strategy for the rail transit green energy system that considers the uncertainty risk of photovoltaic power output. First, we establish a regenerative braking energy utilization model that considers the impact of time-of-use (TOU) electricity price on the utilization efficiency and economic profit of regenerative braking energy and compensates for non-traction load. Then, we propose an operation strategy based on the balance of power supply and demand that uses an improved light robust (ILR) model to minimize the total cost of the rail transit green energy system, considering the risk of uncertainty in photovoltaic power output. The model incorporates the two-step load check on the second-level time scale to correct the operational results, solve the issue of different time resolutions between photovoltaic power and traction load, and achieve the coordinated optimization of risk cost and operation cost after photovoltaic integration. Case studies demonstrate that the proposed model can effectively consider the impact of the uncertainty in photovoltaic power output on the operation strategy, significantly improving the efficiency and economy of the system operation.
引用
收藏
页码:1859 / 1868
页数:10
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