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基于广义下垂控制的电力电子变压器运行策略优化组合
作者:
作者单位:

1.华北电力大学电气与电子工程学院,北京市 102206;2.中国电力科学研究院有限公司,北京市 100192;3.国网经济技术研究院有限公司,北京市 102209

作者简介:

胡丽萍(1993—),女,硕士研究生,主要研究方向:电力系统优化运行。E-mail:ncepuHLP@163.com
孙英云(1975—),男,通信作者,博士,教授,主要研究方向:新能源接入、电力系统优化与控制。E-mail:sunyy@ ncepu.edu.cn
王春斐(1997—),男,硕士研究生,主要研究方向:新能源接入、电力系统优化和控制。E-mail:wangcf@ncepu.edu.cn

通讯作者:

基金项目:

国家重点研发计划资助项目(2017YFB0903300);国家自然科学基金资助项目(51777065)。


Optimal Combination of Operation Strategy for Power Electronic Transformer Based on Generalized Droop Control
Author:
Affiliation:

1.School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China;2.China Electric Power Research Institute, Beijing 100192, China;3.State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China

Fund Project:

This work is supported by National Key R&D Program of China (No. 2017YFB0903300) and National Natural Science Foundation of China (No. 51777065).

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    摘要:

    针对多台电力电子变压器构成的交直流混合系统中,电力电子变压器端口运行模式复杂,组合多样的问题,提出了一种基于广义交直流下垂控制的电力电子变压器运行策略优化组合方法,在保证系统安全运行的同时保证可再生能源的充分消纳。广义交直流下垂控制可通过控制系数的调整来近似端口运行模式的切换,避免了在非线性规划模型中引入整数变量,有效降低了模型的复杂度。在此基础上,建立了考虑可再生能源不确定性的电力电子变压器运行策略鲁棒组合优化模型,并进一步采用双层优化方法对所提模型进行求解,算例仿真结果证明了该方法的有效性与可行性。

    Abstract:

    For the complexity of operation mode of the power electronic transformer (PET) ports and their multiple combinations in hybrid AC/DC grid composed of several PETs, an optimal combination method of operation strategy for PETs based on generalized AC/DC droop control (GADDC) is proposed, the objective of which is to fully utilize the renewable energy while maintaining the stability operation of power system. The switching between different control modes of PET ports could be approximated by adjusting the coefficients of GADDC, which avoids importing integer variables in the non-linear programming model, thus effectively reducing the complexity of the proposed model. Based on this, a robust combined optimization model of PET operation strategy considering the uncertainty of renewable energy is established. Furthermore, a bi-level optimization method is adopted to solve the proposed model. Simulation results verify the effectiveness and feasibility of the proposed method.

    表 5 不同方案下从主网购电量Table 5 Electricity purchasing from power grid in different schemes
    表 12 Table 12
    表 8 Table 8
    表 10 Table 10
    表 7 交流端口控制模式及系数Table 7 Control modes and coefficients of AC ports
    表 9 Table 9
    表 2 交流端口控制系数Table 2 Control coefficients of AC ports
    表 3 预测误差改变后直流端口控制系数Table 3 Control coefficients of DC ports after prediction error change
    表 11 Table 11
    图1 模型求解流程图Fig.1 Flow chart of model solution
    图2 PV接入位置对直流端口调控比的影响Fig.2 Impact of PV position on regulation ratio of DC port
    图3 直流电压最低节点电压对比Fig.3 Voltage comparison of nodes with the lowest DC voltage
    图4 交流网络频率对比Fig.4 Comparison of AC network frequencies
    图5 示范工程拓扑图Fig.5 Topology of demonstration project
    图1 模型求解流程图Fig.1 Flow chart of model solution
    图2 PV接入位置对直流端口调控比的影响Fig.2 Impact of PV position on regulation ratio of DC port
    图3 直流电压最低节点电压对比Fig.3 Voltage comparison of nodes with the lowest DC voltage
    图4 交流网络频率对比Fig.4 Comparison of AC network frequencies
    图5 示范工程拓扑图Fig.5 Topology of demonstration project
    图 广义交直流下垂控制原理图Fig. Schematic of generalized AC-DC droop control
    图 2台四端口PET连接的仿真算例系统Fig. Simulation system connected by two four- port PETs
    图 光伏、风电预测出力曲线及误差区间Fig. Prediction curve and bias interval of PV and wind power
    图 节点负荷功率曲线Fig. The prediction load curve
    表 6 直流端口控制模式及系数Table 6 Control modes and coefficients of DC ports
    表 1 直流端口控制系数Table 1 Control coefficients of DC ports
    表 4 预测误差改变后交流端口控制系数Table 4 Control coefficients of AC ports after prediction error change
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引用本文

胡丽萍,孙英云,王春斐,等.基于广义下垂控制的电力电子变压器运行策略优化组合[J].电力系统自动化,2020,44(3):40-48. DOI:10.7500/AEPS20190319005.
HU Liping,SUN Yingyun,WANG Chunfei,et al.Optimal Combination of Operation Strategy for Power Electronic Transformer Based on Generalized Droop Control[J].Automation of Electric Power Systems,2020,44(3):40-48. DOI:10.7500/AEPS20190319005.

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  • 收稿日期:2019-03-19
  • 最后修改日期:2019-07-22
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  • 在线发布日期: 2020-02-14
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