| 引用本文: | 卢志刚,隋璐,蔡瑶,孔祥兴,程慧琳,刘东泽.自动驾驶环境下交通-配电网协同优化运行[J].电力自动化设备,2024,44(9):73-80 |
| LU Zhigang,SUI Lu,CAI Yao,KONG Xiangxing,CHENG Huilin,LIU Dongze.Cooperative optimization operation of transportation-power distribution network under automatic driving environment[J].Electric Power Automation Equipment,2024,44(9):73-80 |
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| 摘要: |
| 为深入分析耦合电力-交通网在混行条件下产生的协同优化效果，提出自动驾驶环境下交通-配电网协同优化策略。建立智慧交通-配电系统协同运行框架，并分析自动驾驶与人工驾驶汽车的行驶特性，构建基于变分不等式的交通网动态混合均衡模型；结合基于二阶锥规划的配电网动态最优潮流模型，设计两阶段迭代求解算法实现耦合网络协同运行仿真。通过与现有单一车型场景及非协调运行情况对比分析，探究在需求高峰时段混行环境下的优化运行效果，最终结果证明了所提协同优化策略的优越性，使得网络综合运行成本相较现有场景有了显著降低，实现了自动驾驶汽车渗入这一新场景下的耦合网络优化运行。 |
| 关键词: 自动驾驶汽车 人工驾驶汽车 交通-配电网 混合均衡 协同优化运行 |
| DOI：10.16081/j.epae.202406007 |
| 分类号:TM732;U469.72 |
| 基金项目:国家自然科学基金重点资助项目(52130702)；河北省自然科学基金资助项目(E2020203205) |
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| Cooperative optimization operation of transportation-power distribution network under automatic driving environment |
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LU Zhigang1, SUI Lu1, CAI Yao1, KONG Xiangxing1, CHENG Huilin2, LIU Dongze3
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1.School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China;2.Shijiazhuang Power Supply Company of State Grid Hebei Electric Power Co.,Ltd.,Shijiazhuang 050000, China;3.Tangshan Fengrun District Power Supply Branch of State Grid Jibei Electric Power Company Limited, Tangshan 063000, China
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| Abstract: |
| In order to deeply analyze the cooperative optimization effect of coupled power-transportation network under mixed driving conditions, a cooperative optimization strategy of transportation-power distribution network under automatic driving environment is proposed. The cooperative operation framework of intelligent transportation-power distribution system is established, and the driving characteristics of autonomous and human-driven vehicles are analyzed, and a dynamic hybrid equilibrium model of transportation network based on variational inequalities is constructed. Combined with the dynamic optimal power flow model based on second-order cone programming, a two-stage iterative solution algorithm is designed to realize the cooperative operation simulation of the coupled network. Through the comparison and analysis with the existing single model scenario and non-coordinated operation, the optimization operation effect in the mixed driving environment during peak demand hours is explored. The final results prove the superiority of the proposed cooperative optimization strategy, which significantly reduces the cost of network comprehensive operation compared with the existing scenario, and realizes the optimization operation of coupled network under the new scenario of autonomous vehicle penetration. |
| Key words: autonomous vehicle human-driven vehicle transportation-power distribution network mixed equilibrium cooperative optimization operation |
