| 引用本文: | 苏粟,韦存昊,李泽宁,夏冬,王业庭,王世丹.基于机会约束规划的含电动汽车主动配电网能量管理方法[J].电力自动化设备,2022,42(10): |
| SU Su,WEI Cunhao,LI Zening,XIA Dong,WANG Yeting,WANG Shidan.Energy management method of active distribution network with electric vehicles based on chance-constrained programming[J].Electric Power Automation Equipment,2022,42(10): |
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| 摘要: |
| 针对含电动汽车(EV)和分布式光伏的主动配电网(ADN)，提出了一种基于机会约束规划的能量管理方法。首先，基于EV用户的出行特性和需求，构建了基于分段线性化的EV智能充放电决策模型；其次，通过支路潮流模型与二阶锥松弛，构建了含EV与分布式光伏的ADN一体化数学模型，EV集群作为灵活可控单元主动参与ADN的能量管理；然后，为了充分考虑分布式光伏的不确定性，采用机会约束规划方法描述了含不确定性参数的数学模型，并对模型中的机会约束条件进行确定性转换；最后，考虑不同城市功能区内含EV与分布式光伏的ADN场景，进一步对比分析了不同的机会约束条件置信水平下EV对ADN经济安全运行的影响。仿真结果表明，适度降低机会约束条件的置信水平能在保证EV用户出行需求的同时充分地挖掘EV充放电行为的灵活性，进一步实现ADN的灵活运行。 |
| 关键词: 主动配电网 电动汽车 分布式光伏 机会约束规划 能量管理 一体化模型 二阶锥松弛 |
| DOI：10.16081/j.epae.202203012 |
| 分类号:U469.72;TM73 |
| 基金项目:国家自然科学基金资助项目(51677004)；北京交通大学基本科研业务费专项资金资助项目(2020JBM062) |
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| Energy management method of active distribution network with electric vehicles based on chance-constrained programming |
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SU Su1, WEI Cunhao1, LI Zening1, XIA Dong2, WANG Yeting3, WANG Shidan4
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1.National Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing 100044, China;2.Economic and Technological Research Institute of State Grid Tianjin Electric Power Company, Tianjin 276000, China;3.State Grid Xinyuan Holdings Co.,Ltd.,Beijing 100761, China;4.Haidian Electric Power Supply Company of State Grid Beijing Electric Power Company, Beijing 100195, China
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| Abstract: |
| An energy management method based on chance-constrained programming is proposed for ADN(Active Distribution Network) with EVs(Electric Vehicles) and distributed photovoltaics. Firstly, based on the travel characteristics and demands of EV users, the piecewise linearization-based intelligent charging and discharging decision model of EVs is constructed. Secondly, the integrated mathematical model of ADN with EVs and distributed photovoltaics is constructed based on the branch flow model and second-order cone relaxation, in which EV cluster is able to actively participate in the energy management of ADN as a flexible and controllable unit. Then, in order to fully consider the uncertainty of distributed photovoltaics, the mathematical model with uncertain parameters is described by using the chance-constrained programming method, and the chance-constrained conditions in the model are transformed into deterministic constrains. Finally, considering the ADN scenarios with EVs and distributed photovoltaics in different urban functional areas, the influence of EVs on the economic and safe operation of ADN under different confidence levels of chance-constrained conditions is further compared and analyzed. The simulative results show that, by reducing the confidence levels of chance-constrained conditions moderately, the flexibility of EVs’ charging and discharging behavior can be fully explored while ensuring the travel demand of EV users, and the flexible operation of ADN can be further realized. |
| Key words: active distribution network electric vehicles distributed photovoltaics chance-constrained programming energy management integrated model second-order cone relaxation |
