考虑分布式储能与电动汽车充电网络的配电网多目标规划
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通讯作者:

孔顺飞(1994),男,硕士研究生,主要从事电力系统规划与运行研究;Email:595866875@qq.com

中图分类号:

TM761

基金项目:

国网福建省电力有限公司重点科技项目(SGFJJY00GHJS1700060);国网湖北省电力有限公司科技项目(SGHBJY00PSJS1800034)


Multiobjective planning of distribution network considering distributed energy storage and electric vehicle charging network
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    摘要:

    电动汽车和风光储技术的快速发展对配电网规划起到关键作用。首先基于车配电池组的需量来分析充电需求,并通过充电站截获的交通流量将电动汽车负荷功率计入网络中,提出一种考虑储能优化策略的配电网多目标规划模型。该模型以规划成本最小、配电网电压水平最优、交通网络满意度最佳来构造多目标函数,对风光储及充电站相关设备布点定容,并采用嵌入NDX交叉算子的改进NSGAII算法进行求解。最后以耦合了交通网络的33节点配电系统为例,对所研究的模型和方法进行仿真验证。仿真结果表明,所提方法能有效改善配网规划相关指标,提升规划综合效益。

    Abstract:

    The rapid development of electric vehicles and windsolarstorage technologies play a key role in the distribution network planning. Firstly, the charging demand of electric vehicles is analyzed according to the demand for the car battery pack. Then, the electric vehicle load is calculated by considering the traffic flow provided by the charging stations, and a multiobjective planning model of distribution networks conductive with energy storage optimization strategy is proposed. In addition, a multiobjective function is constructed with the lowest planning cost, optimizing distribution network voltage and the best satisfaction with traffic network. This model also conducts a fixedcapacity location planning for the windsolarstorage and charging stations in the network, and utilizes the improved NSGAII algorithm embedded with the NDX crossover operator to solve the problem. Finally, a 33node power distribution system coupled with a transportation network is taken as an example to verify the model and method. The simulation results show that the proposed method can effectively improve the relevant indicators of distribution network planning and enhance the overall planning benefits.

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引用本文

孔顺飞,胡志坚,谢仕炜,等.考虑分布式储能与电动汽车充电网络的配电网多目标规划[J].电力科学与技术学报,2021,36(1):106-116.
KONG Shunfei, HU Zhijian, XIE Shiwei, et al. Multiobjective planning of distribution network considering distributed energy storage and electric vehicle charging network[J]. Journal of Electric Power Science and Technology,2021,36(1):106-116.

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  • 在线发布日期: 2021-04-16
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