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工程科学与技术:2023,55(1):48-58
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基于模糊Petri网的“网-源-储-车”动态阈值能量管理策略研究
(1.西南交通大学 电气工程学院,四川 成都 611756;2.四川大学 电气工程学院,四川 成都 610065;3.中国铁路西安局集团有限公司,陕西 西安 710054)
Research on “Grid-Source-Storage-Vehicle” Dynamic Threshold Energy Management Based on Fuzzy Petri Nets
(1.School of Electrical Eng., Southwest Jiaotong Univ., Chengdu 611756, China;2.College of Electrical Eng., Sichuan Univ., Chengdu 610065, China;3.China Railway Xi’an Group Co., Ltd., Xi’an 710054, China)
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投稿时间:2022-04-26    修订日期:2022-08-20
中文摘要: 轨道交通作为电力系统的主要用能对象之一,每年消耗大量电能用于电力机车牵引。因此,降低牵引能耗、提升供能系统的弹性与效能对促进碳达峰、碳中和具有重要的现实意义。轨道交通“网-源-储-车”协同供能系统在传统牵引供电架构的基础上引入了储能系统与新能源发电系统,然而,如何实现牵引负荷、储能系统及新能源发电系统的高效能源自洽,减少双向波动性与不确定性对能量管理系统的影响成为了新的难题。为实现以上目标,减轻牵引负荷对牵引网的功率冲击,延长储能系统的使用寿命,本文提出了一种基于模糊Petri网(fuzzy Petri nets,FPN)的“网-源-储-车”动态阈值能量管理策略。该策略在“网-源-储-车”基本功率分配框架的基础上,设定了多工况下牵引供电系统与储能系统、新能源发电系统的动态能量交互规则,可适用于不同架构的“网-源-储-车”协同供能体系;在此基础上,以电力机车功率与储能系统寿命作为模糊Petri网的输入参数,经过模糊化、Petri网推理、反模糊化等操作后实现对放电阈值的自适应动态调整。本文以某牵引变电所实测数据作为测试案例,仿真结果表明:相较于基于固定阈值的能量管理策略,基于模糊Petri网的动态阈值管理策略能够有效提升能量回馈效率与再生制动能量储存效率,同时,增加光伏发电系统的利用电度,降低电力机车经由接触网从电力系统取能的平均功率及储能系统的平均放电深度;对延长储能系统的预计寿命、提升协同供能系统的能量利用效率与运行经济性具有积极意义。
Abstract:As one of the main power customers of the power system, rail transit consumes a large amount of electricity for electric locomotive traction every year. Therefore, reducing the traction energy consumption and improving the resilience and efficiency of the energy supply system are of great practical significance to promote carbon peaking and carbon neutrality. On the basis of the traditional traction power supply structure, the rail transit “grid-source-storage-vehicle” collaborative energy supply system introduces the energy storage system (ESS) and the renewable energy generation system. However, self-consistency of the three (load, the ESS and the renewable energy generation) and reducing the influence of two-way volatility and uncertainty on the energy management systems have become new issues. In order to achieve the above goals, reduce the power impact of the traction load on the traction network, and prolong the service life of the ESS, a “grid-source-storage-vehicle” dynamic threshold energy management strategy based on the fuzzy Petri networks (FPN) was proposed in this paper. Based on the basic power distribution framework of “grid-source-storage-vehicle”, a dynamic energy interaction rules were set in this strategy between the traction power supply system, the ESS and the renewable energy generation system under multiple operating conditions, which could be applied to the “grid-source-storage-vehicle” collaborative energy supply system with different structures. On this basis, the power of electric locomotive and the life of the ESS were taken as the input parameters of the FPN. After that, the adaptive dynamic adjustment of the discharge threshold was realized after the operations of fuzzification, Petri networks reasoning, and de-fuzzification. In this paper, the measured data of a traction substation was taken as a test case. The simulation results showed that, compared with the energy management strategy based on fixed thresholds, the energy feedback efficiency and regenerative braking energy storage efficiency could be effectively improved by the dynamic threshold management strategy based on FPN. At the same time, the utilization of photovoltaic power generation system is increased. The average energy taken by electric locomotives from the power system and the average discharge depth of the ESS are reduced as well, which could prolong the expected life of the ESS and improve the energy utilization of the collaborative energy supply system. To sum up, this strategy has positive significance for extending the expected life of the ESS and improving the energy utilization efficiency and operating economy of the collaborative energy supply system.
文章编号:202200387     中图分类号:TM921.07    文献标志码:
基金项目:国家重点研发计划项目(2021YFB2601500);国家自然科学基金项目(51907097)
作者简介:第一作者:罗嘉明(1998-),男,博士生.研究方向:轨道交通新能源技术.E-mail:carrot9191@my.swjtu.edu.cn;通信作者:高仕斌,教授,E-mail:gao_shi_bin@126.com
引用文本:
罗嘉明,高仕斌,韦晓广,臧天磊,张敬凯.基于模糊Petri网的“网-源-储-车”动态阈值能量管理策略研究[J].工程科学与技术,2023,55(1):48-58.
LUO Jiaming,GAO Shibin,WEI Xiaoguang,ZANG Tianlei,ZHANG Jingkai.Research on “Grid-Source-Storage-Vehicle” Dynamic Threshold Energy Management Based on Fuzzy Petri Nets[J].Advanced Engineering Sciences,2023,55(1):48-58.