针对配电网中分布式可再生能源出力波动及多能源负荷用能不确定性导致的功率波动等问题,提出一种将电氢汽车作为移动储能的高比例可再生能源配电网电氢充放能设备规划模型,该模型能有效解决配电网电力电量平衡协调优化目标下的电氢充放能设备优化配置。首先,基于电氢汽车的移动储能特性建立考虑交通网络拓扑约束的电氢储能时空转移特性和充放能特性模型;其次,基于配电网与交通网络拓扑对应关系、可再生能源出力变化特性及电氢移动储能特性,以电氢充放能设施及配网运行成本最小化为目标,建立充放能设施优化配置模型及其求解算法;最后,基于辽宁某地区配电网网架结构建立电氢充放能设施优化配置仿真模型,验证该文所提优化配置方法在提高配电网多能源功率和能量平衡能力、充放能可靠性等方面的有效性。
Abstract
In response to issues such as power fluctuations caused by the variability of distributed renewable energy output and the uncertainty of multi-energy load consumption in distribution networks, this article proposes a planning model for electric-hydrogen charging and discharging equipment in high-proportion renewable energy distribution networks, utilizing electric-hydrogen vehicles as mobile energy storage. This model effectively addresses the optimal configuration of electric-hydrogen charging and discharging equipment under the goal of coordinating and optimizing power and energy balance in the distribution network. Firstly, based on the mobile energy storage characteristics of electric-hydrogen vehicles, a model is established that considers the spatiotemporal transfer characteristics and charging-discharging behaviors of electric-hydrogen energy storage under the constraints of traffic network topology. Secondly, considering the correspondence between the distribution network and traffic network topology, as well as the variability of renewable energy output and the characteristics of electric-hydrogen mobile energy storage, an optimization model for the configuration of charging-discharging facilities is developed, aiming to minimize the operational costs of both the charging-discharging facilities and the distribution network, along with a corresponding solving algorithm. Finally, a simulation model for the optimal configuration of electric-hydrogen charging-discharging facilities is established based on the distribution network framework of a certain area in Liaoning, verifying the effectiveness of the proposed optimization method in enhancing the multi-energy power and energy balancing capabilities of the distribution network, as well as the reliability of charging and discharging.
关键词
配电网 /
能量平衡 /
纯电动汽车 /
移动储能 /
可靠性约束
Key words
distribution networks /
energy balance /
all-electric vehicle /
mobile energy storage /
reliability constraint
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参考文献
[1] 闫丽梅, 曾家威, 徐建军, 等. 含电动汽车和光伏的配电网演化动态博弈调度策略[J]. 太阳能学报, 2024, 45(5): 316-323.
YAN L M, ZENG J W, XU J J, et al.Scheduling strategy of distribution grid with electric vehicles and photolatic based on evolutionary dynamics game[J]. Acta energiae solaris sinica, 2024, 45(5): 316-323.
[2] 谢桦, 刘哲, 王云嘉, 等. 计及道路交通指数影响的公交充电站充电桩优化配置方法[J]. 电力系统自动化, 2024, 48(15): 35-43.
XIE H, LIU Z, WANG Y J, et al.Optimal configuration method for charging piles in bus charging stations considering influence of road traffic indices[J]. Automation of electric power systems, 2024, 48(15): 35-43.
[3] 陆燕娟, 潘庭龙, 杨朝辉. 计及电动汽车的社区微网储能容量配置[J]. 太阳能学报, 2021, 42(12): 362-367.
LU Y J, PAN T L, YANG C H.Energy storage capacity configuration in community microgrid considering electric vehicles[J]. Acta energiae solaris sinica, 2021, 42(12): 362-367.
[4] 马伟伟. 基于序优化的分布式光伏配电网储能系统容量评估[J]. 太阳能学报, 2023, 44(9): 557.
MA W W.Capacity evaluation of distributed photovoltaic distribution network energy storage system based on sequential optimization[J]. Acta energiae solaris sinica, 2023, 44(9): 557.
[5] MEJIA M A, MACEDO L H, MUÑOZ-DELGADO G, et al. Multistage planning model for active distribution systems and electric vehicle charging stations considering voltage-dependent load behavior[J]. IEEE transactions on smart grid, 2022, 13(2): 1383-1397.
[6] 朱永胜, 杨俊林, 刘洲峰, 等. 基于博弈论的风-光-车容量配置研究[J]. 太阳能学报, 2020, 41(9): 95-103.
ZHU Y S, YANG J L, LIU Z F, et al.Research on capacity allocation of wind-PV-EV based on game theory[J]. Acta energiae solaris sinica, 2020, 41(9): 95-103.
[7] 孙波, 董浩, 王璐, 等. 计及电动汽车需求响应的风储混合系统日前联合优化调度模型[J]. 太阳能学报, 2021, 42(4): 107-114.
SUN B, DONG H, WANG L, et al.Joint optimal scheduling model for wind-storage hybrid system considering demand response of electric vehicle[J]. Acta energiae solaris sinica, 2021, 42(4): 107-114.
[8] 董海鹰, 贠韫韵, 汪宁渤, 等. 基于双重电价的电动汽车充放电两阶段优化调度策略[J]. 太阳能学报, 2021, 42(4): 115-124.
DONG H Y, YUN Y Y, WANG N B, et al.Two-stage dispatch optimization strategy for charging and discharging of electric vehicles based on double electricity price[J]. Acta energiae solaris sinica, 2021, 42(4): 115-124.
[9] 严干贵, 刘华南, 韩凝晖, 等. 计及电动汽车时空分布状态的充电站选址定容优化方法[J]. 中国电机工程学报, 2021, 41(18): 6271-6283.
YAN G G, LIU H N, HAN N H, et al.An optimization method for location and capacity determination of charging stations considering spatial and temporal distribution of electric vehicles[J]. Proceedings of the CSEE, 2021, 41(18): 6271-6283.
[10] 杨楠, 刘钊, 鄢晶, 等. 考虑主变调整利用和安全效能成本的变电站规划方法[J]. 中国电机工程学报, 2020, 40(13): 4187-4200.
YANG N, LIU Z, YAN J, et al.A planning method of substation considering main transformer adjustment utilization and safety efficiency cost[J]. Proceedings of the CSEE, 2020, 40(13): 4187-4200.
[11] 傅晨, 兰莉, 陈鹏, 等. 基于电氢路车协同的区域电氢制充注一体站规划研究[J]. 电力需求侧管理, 2024, 26(6): 16-23.
FU C, LAN L, CHEN P, et al.Regional electric-hydrogen generation and charging stationplanning considering electric-hydrogen-road-vehicle collaboration[J]. Power demand side management, 2024, 26(6): 16-23.
[12] 杨丽君, 杨博, 安立明, 等. 考虑电动汽车响应的光储微电网储能优化配置[J]. 太阳能学报, 2020, 41(4): 340-347.
YANG L J, YANG B, AN L M, et al.Optimal configuration of grid-connected PV-and-storage microgrid considering EVS'demand response[J]. Acta energiae solaris sinica, 2020, 41(4): 340-347.
[13] 陈燚, 何山, 谢少华, 等. 基于合作博弈的风-光-电氢微网容量配置[J]. 太阳能学报, 2024, 45(2): 395-405.
CHEN Y, HE S, XIE S H, et al.Capacity configuration of wind-photovoltaic-electric hydrogen microgrid based on cooperative game[J]. Acta energiae solaris sinica, 2024, 45(2): 395-405.
[14] 刘峰伟, 陈佳佳, 赵艳雷, 等. 端对端交易模式下基于移动储能共享的配电系统韧性提升[J]. 电力系统自动化, 2022, 46(16): 151-159.
LIU F W, CHEN J J, ZHAO Y L, et al.Resilience enhancement for distribution system based on mobile energy storage sharing in peer-to-peer transaction mode[J]. Automation of electric power systems, 2022, 46(16): 151-159.
基金
国家电网公司科技项目(SGLNDD00HLJS2311059)