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含光伏和混合储能的同相牵引供电系统日前优化调度
引用本文:刘元立,李群湛. 含光伏和混合储能的同相牵引供电系统日前优化调度[J]. 西南交通大学学报, 2023, 58(1): 30-39. DOI: 10.3969/j.issn.0258-2724.20200534
作者姓名:刘元立  李群湛
作者单位:1.中铁第四勘察设计院集团有限公司,湖北 武汉 4300632.西南交通大学电气工程学院,四川 成都 610031
基金项目:国家自然科学基金(51877182);中国铁路总公司科技研究开发计划(N2018G024)
摘    要:既有牵引供电系统中以负序为主的电能质量问题以及电分相环节严重制约了其安全、高效运行,目前理想的解决方案是基于对称补偿理论的同相供电技术. 通过同相补偿装置中的直流母线接入光伏发电系统以及混合储能装置,进一步实现再生回馈能量利用和牵引负荷削峰填谷,提高光伏渗透率. 因此,建立了一种同相牵引供电系统优化运行模型,该模型以同相牵引变电所日运行成本最低为目标,以混合储能装置充放电策略、光伏出力以及潮流控制器功率为决策变量,尤其考虑了电网侧三相电压不平衡度约束;进一步将原始优化模型中非线性约束进行线性化处理,得到混合整数线性规划模型,并利用商业规划求解器CPLEX进行求解. 算例分析结果表明:接入光伏与混合储能装置后日运行成本可节省36.45%,且三相电压不平衡度满足国标上限2%的要求. 

关 键 词:同相牵引供电系统   储能   光伏   电压不平衡   混合整数线性规划
收稿时间:2020-08-14

Day-Ahead Optimal Scheduling of Co-phase Traction Power Supply System with Photovoltaic and Hybrid Energy Storage
LIU Yuanli,LI Qunzhan. Day-Ahead Optimal Scheduling of Co-phase Traction Power Supply System with Photovoltaic and Hybrid Energy Storage[J]. Journal of Southwest Jiaotong University, 2023, 58(1): 30-39. DOI: 10.3969/j.issn.0258-2724.20200534
Authors:LIU Yuanli  LI Qunzhan
Affiliation:1.China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan 430063, China2.School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Abstract:Power quality issues represented by voltage unbalance and the electrical sectioning issues have severely restricted the safe and efficient operation of the traction power supply system. At present, the ideal solution is the co-phase power supply technology based on symmetrical compensation theory. By integrating the photovoltaic power generation system and the hybrid energy storage system with the DC bus of power flow controller, the utilization of regenerative braking energy, and peak-shaving and valley-filling of traction load can be further achieved to improve photovoltaic penetration rate. For this purpose, the optimal operation model of co-phase traction power supply system is established, which sets the minimum daily operation cost of traction substation as the objective, and takes the charging and discharging strategy of hybrid energy storage, photovoltaic output and power flow controller power as decision variables, and also takes into account the three-phase voltage unbalance constraint. The nonlinear constraints are linearized to formulate the mixed-integer linear programming model, which can be solved by programming solver CPLEX. The case study results show that the integration of photovoltaic and hybrid energy storage can effectively reduce 36.45% of daily operating cost, while the three-phase voltage unbalance meets the upper limit of 2% in the national standard. 
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