主动配电网-交通网耦合系统分布鲁棒规划方法

郑虎虎; 叶剑华; 罗凤章

doi:10.19912/j.0254-0096.tynxb.2023-2163

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (4) : 200-209. DOI: 10.19912/j.0254-0096.tynxb.2023-2163

主动配电网-交通网耦合系统分布鲁棒规划方法

郑虎虎¹, 叶剑华¹, 罗凤章²

作者信息 +

DISTRIBUTIONALLY ROBUST PLANNING METHOD FOR ACTIVE DISTRIBUTION POWER-TRAFFIC NETWORK COUPLING SYSTEMS

Zheng Huhu¹, Ye Jianhua¹, Luo Fengzhang²

Author information +

文章历史 +

摘要

大规模电动汽车充电站接入配电网形成电力-交通耦合系统（PTN）,针对PTN中存在的多种不确定性,提出一种综合考虑交通流量、风光出力及负荷不确定性的两阶段分布鲁棒规划模型。首先,建立含交通流量最优分配的充电站选址定容模型,根据电动汽车充电站运行约束将交通流量不确定性转化为PTN充电负荷的不确定性。然后,将交通网最优流量分配和充电站选址结果与主动配电网（ADN）耦合,以ADN投资运行成本和交通网投资成本最小为目标建立PTN协调规划模型。使用分布鲁棒优化方法处理模型中的多种不确定性,并采用列与约束生成（C&CG）算法进行求解。最后,以一个33节点ADN和12节点交通网耦合系统进行算例分析,分析结果验证所提模型及求解方法的有效性。

Abstract

This paper proposes a two-stage robust planning model that comprehensively considers uncertainties in traffic flow, renewable energy generation, and load in the power-traffic networks （PTN） formed by the integration of large-scale electric vehicle charging stations into the power distribution grid. Firstly, an optimal allocation model for charging station siting is established considering traffic flow, converting traffic flow uncertainties into uncertainties in PTN charging load based on operational constraints. Then, integrating the optimal traffic flow allocation and charging station siting results with the active distribution network （ADN）, a coordinated PTN planning model is formulated aiming to minimize ADN investment and operational costs along with traffic network investment costs. Various uncertainties in the model are dealt with by using a distributionally robust optimization approach and the column and constraint generation （C&CG） algorithm is used to solve them. Finally, a case study on a coupled system of a 33-node distribution grid and a 12-node traffic network validates the effectiveness of the proposed model and solution methodology.

导出引用

郑虎虎, 叶剑华, 罗凤章. 主动配电网-交通网耦合系统分布鲁棒规划方法[J]. 太阳能学报. 2025, 46(4): 200-209 https://doi.org/10.19912/j.0254-0096.tynxb.2023-2163

Zheng Huhu, Ye Jianhua, Luo Fengzhang. DISTRIBUTIONALLY ROBUST PLANNING METHOD FOR ACTIVE DISTRIBUTION POWER-TRAFFIC NETWORK COUPLING SYSTEMS[J]. Acta Energiae Solaris Sinica. 2025, 46(4): 200-209 https://doi.org/10.19912/j.0254-0096.tynxb.2023-2163

中图分类号： TM715

参考文献

[1] 卢志刚, 王文涛, 张丹, 等. 基于配电网可靠性的分布式电源与充换电站协同规划[J]. 太阳能学报, 2020, 41(4): 348-356.
LU Z G, WANG W T, ZHANG D, et al.DG and EVCS collaborative planning based on distribution network reliability[J]. Acta energiae solaris sinica, 2020, 41(4): 348-356.
[2] 赵元发, 司杨, 麻林瑞, 等. 交通网-电网耦合框架下制氢加氢站选址定容[J]. 太阳能学报, 2024, 45(8): 54-62.
ZHAO Y F, SI Y, MA L R, et al.Location and capacity determination of hydrogen production and refueling stations in coupling framework of transportation network and power grid[J]. Acta energiae solaris sinica, 2024, 45(8): 54-62.
[3] WANG X, SHAHIDEHPOUR M, JIANG C W, et al.Coordinated planning strategy for electric vehicle charging stations and coupled traffic-electric networks[J]. IEEE transactions on power systems, 2019, 34(1): 268-279.
[4] WEI W, WU L, WANG J H, et al.Expansion planning of urban electrified transportation networks: a mixed-integer convex programming approach[J]. IEEE transactions on transportation electrification, 2017, 3(1): 210-224.
[5] XIA F Z, CHEN H K, SHAHIDEHPOUR M, et al.Distributed expansion planning of electric vehicle dynamic wireless charging system in coupled power-traffic networks[J]. IEEE transactions on smart grid, 2021, 12(4): 3326-3338.
[6] SUN S Y, YANG Q, MA J, et al.Hierarchical planning of PEV charging facilities and DGs under transportation-power network couplings[J]. Renewable energy, 2020, 150: 356-369.
[7] ZHOU Z, LIU Z T, SU H Y, et al.Planning of static and dynamic charging facilities for electric vehicles in electrified transportation networks[J]. Energy, 2023, 263: 126073.
[8] QIAO W J, HAN Y H, ZHAO Q, et al.A distributed coordination method for coupled traffic-power network equilibrium incorporating behavioral theory[J]. IEEE transactions on vehicular technology, 2022, 71(12): 12588-12601.
[9] CUI Y, HU Z C, DUAN X Y.Optimal pricing of public electric vehicle charging stations considering operations of coupled transportation and power systems[J]. IEEE transactions on smart grid, 2021, 12(4): 3278-3288.
[10] WARDROP J G, WHITEHEAD J I.Correspondence. Some theoretical aspects of road traffic research[J]. Proceedings of the institution of civil engineers, 1952, 1(5): 767-768.
[11] THRALL R M, BECKMANN M, MCGUIRE C B, et al.Studies in the economics of transportation[J]. Econometrica, 1958, 26(1): 183.
[12] BEN-TAL A, NEMIROVSKI A.On polyhedral approximations of the second-order cone[J]. Mathematics of operations research, 2001, 26(2): 193-205.
[13] ZARE A, CHUNG C Y, ZHAN J P, et al.A distributionally robust chance-constrained MILP model for multistage distribution system planning with uncertain renewables and loads[J]. IEEE transactions on power systems, 2018, 33(5): 5248-5262.
[14] 张玮琪, 王沿胜, 杨钊, 等. 考虑新能源、电动汽车充电站与储能协调优化的分布鲁棒规划方法研究[J]. 电力系统及其自动化学报, 2023, 35(8): 114-125.
ZHANG W Q, WANG Y S, YANG Z, et al.Research on distributionally robust planning method for coordination and optimization of new energy, electric vehicle charging station and energy storage[J]. Proceedings of the CSU-EPSA, 2023, 35(8): 114-125.
[15] 高红均, 刘俊勇. 考虑不同类型DG和负荷建模的主动配电网协同规划[J]. 中国电机工程学报, 2016, 36(18): 4911-4922.
GAO H J, LIU J Y.Coordinated planning considering different types of DG and load in active distribution network[J]. Proceedings of the CSEE, 2016, 36(18): 4911-4922.
[16] 孔顺飞, 胡志坚, 谢仕炜, 等. 含电动汽车充电站的主动配电网二阶段鲁棒规划模型及其求解方法[J]. 电工技术学报, 2020, 35(5): 1093-1105.
KONG S F, HU Z J, XIE S W, et al.Two-stage robust planning model and its solution algorithm of active distribution network containing electric vehicle charging stations[J]. Transactions of China Electrotechnical Society, 2020, 35(5): 1093-1105.
[17] GAO H J, LIU J Y, WANG L F.Robust coordinated optimization of active and reactive power in active distribution systems[J]. IEEE transactions on smart grid, 2018, 9(5): 4436-4447.
[18] 张亚超, 郑峰, 舒胜文, 等. 考虑多重不确定性的电-气-交通网络耦合系统数据驱动鲁棒优化调度[J]. 中国电机工程学报, 2021, 41(13): 4450-4462.
ZHANG Y C, ZHENG F, SHU S W, et al.A data-driven robust optimization scheduling of coupled electricity-gas-transportation systems considering multiple uncertainties[J]. Proceedings of the CSEE, 2021, 41(13): 4450-4462.
[19] WEI W, MEI S W, WU L, et al.Robust operation of distribution networks coupled with urban transportation infrastructures[J]. IEEE transactions on power systems, 2016, 32(3): 2118-2130.
[20] ZHAO C Y, GUAN Y P.Data-driven stochastic unit commitment for integrating wind generation[J]. IEEE transactions on power systems, 2016, 31(4): 2587-2596.
[21] 吴江, 王晶晶, 张强, 等. 考虑电转气消纳风电的电-气综合能源系统两阶段鲁棒协同调度[J]. 太阳能学报, 2022, 43(2): 436-443.
WU J, WANG J J, ZHANG Q, et al.Two-stage robust cooperative scheduling for electricity-gas integrated energy system considering power-to-gas for wind power accommodation[J]. Acta energiae solaris sinica, 2022, 43(2): 436-443.
[22] LI Y, HAN M, SHAHIDEHPOUR M, et al.Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response[J]. Applied energy, 2023, 335: 120749.