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计及分布式能源和电动汽车特性的主动配电网规划
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四川大学电气工程学院,四川省成都市 610065

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基金项目:

国家自然科学基金资助项目(51807125);中央高校基本科研业务费专项资金资助项目(YJ201750);四川省科技厅资助项目(2019YFG0152)。


Active Distribution Network Planning Considering Characteristics of Distributed Generation and Electric Vehicle
Author:
Affiliation:

College of Electrical Engineering, Sichuan University, Chengdu 610065, China

Fund Project:

This work is supported by National Natural Science Foundation of China (No.51807125), Fundamental Research Funds for the Central Universities (No.YJ201750), and Department of Science and Technology of Sichuan Province (No.2019YFG0152).

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    摘要:

    随着清洁能源的发展,高渗透率的分布式能源(DG)和电动汽车(EV)给配电网的规划和运行带来诸多影响,例如大量弃电、加剧负荷峰谷差等问题。文中建立了计及DG出力相关性和EV需求响应的规划运行双层模型以减小负荷波动。首先,在DG概率模型的基础上使用相关矩阵法生成具有相关性的DG节点样本;其次,建立多目标规划运行双层模型,上层考虑DG和充电桩的协同规划,下层考虑负荷波动、DG弃电等运行成本,并将所提随负荷波动EV充放电价、DG相关样本等以约束方式表示;接着,在应用Voronoi图法对充电站服务范围划分的基础上确定EV响应量上限并将双层模型转化;最后,应用CPLEX工具包对文章所建二阶锥模型进行求解,通过某“交通网-配电网”关联系统验证所提模型和方法的有效性。

    Abstract:

    With the development of clean energy, high penetration of distributed generation (DG) and electric vehicle (EV) which have brought lots of impacts on the planning and operation of distribution network, such as a large number of abandoned power, aggravating load peak-valley difference, etc. A bi-level model of planning and operation is established. It takes the DG output correlation and EV demand response into account, to reduce load fluctuation. Firstly, based on the DG probability models, the correlation matrix method is used to produce DG correlation sample. Secondly, it is established a bi-level model of multi-objective planning and operation, and the upper layer considered the collaborative planning of DG and charging pile(CP), while the lower layer considered the operating costs such as load fluctuation, DG power abandonment, etc. The proposed EV charge-discharge price which fluctuated with the load, DG related samples and so on were expressed in a constraint way. Then Voronoi diagram method is used to divide the service scope of charging station. The upper limit of EV response is determined and the two-layer model is transformed. Finally, the CPLEX tool kit is adopted to solve the second order cone model which proposed in this paper, through a "Transportation network-distribution network" associated system to verify the effectiveness of the proposed model and method.

    表 1 Table 1
    图1 相关样本生成流程图Fig.1 Flow chart of correlation samples producing
    图2 规划模型的目标函数和决策内容Fig.2 Objective functions and decision contents of planning model
    图3 相关度对规划运行结果的影响Fig.3 Influence of correlation on the results of planning and operation
    图4 运行成本对比Fig.4 Comparison of operating costs
    图5 充放电价对负荷波动的影响Fig.5 Influence of charge and discharge price on load fluctuation
    图 DG和充电站候选位置Fig. Candidate locations of DG and EV charge station
    图 参与需求响应EV可充放电量Fig. EV charge/discharge quantity of demand response
    图 不同相关度下风机、光伏预测出力Fig. WTG/PVG prediction output under different correlation
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引用本文

刘晋源,吕林,高红均,等.计及分布式能源和电动汽车特性的主动配电网规划[J/OL].电力系统自动化,http://doi.org/10.7500/AEPS20190826001.
LIU Jinyuan,LV Lin,GAO Hongjun,et al.Active Distribution Network Planning Considering Characteristics of Distributed Generation and Electric Vehicle[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20190826001.

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  • 收稿日期:2019-08-26
  • 最后修改日期:2020-04-02
  • 录用日期:2020-02-03
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