考虑风电不确定性的VSC-MTDC互联系统 两阶段交直流最优潮流
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(上海交通大学电子信息与电气工程学院,上海 200240)

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杨喆麟(1995—),男,硕士研究生,研究方向为交直流电力系统运行优化;E-mail: zlyoung@sjtu.edu.cn 汪可友(1979—),男,博士,教授,研究方向新能源及交直流混联电网分析与控制;E-mail: wangkeyou@sjtu.edu.cn 李国杰(1965—),男,博士,教授,研究方向新能源控制与接入,微电网分析与控制,柔性直流。E-mail: liguojie@ sjtu.edu.cn

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国家自然科学面上基金项目资助(51877133,51477098)


Two-stage AC/DC optimal power flow with VSC-MTDC considering uncertainty of wind power
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(School of Electric Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

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    摘要:

    考虑不确定性风电通过多端柔性直流(VSC-MTDC)并网对交流系统运行的影响,提出了计及风电不确定性的VSC-MTDC互联系统的两阶段交直流最优潮流模型。围绕多端柔直参与实时调度的优化展开,基于“多级协调、逐级细化”的调度思路,在日内滚动阶段根据风电短期预测数据优化发电机的运行成本。在实时调度阶段根据风电超短期预测数据不断调整优化VSC换流站的控制指令和缓冲机组出力,及时修正风电短期预测误差对交流系统网损与电压水平带来的影响。将所提出模型应用于IEEE30和IEEE118节点算例中,验证了所提模型的有效性和可行性。

    Abstract:

    Considering the impact of uncertain wind power integrated through a multi-terminal flexible direct current (VSC-MTDC) transmission system on the operation of an AC system, a two-stage AC/DC optimal power flow model with VSC-MTDC considering wind power uncertainty is proposed. This paper focuses on the optimization of VSC-MTDC in real-time scheduling, based on the dispatching idea of “multi-level coordination and step-by-step refinement”. During intraday rolling dispatching, the model optimizes the generator’s operation cost according to the short-term forecast data of wind power. During real-time dispatching, it continuously adjusts and optimizes the control instructions of the VSC converter station and the output of the buffer unit based on the ultra-short-term forecast data of wind power, and corrects the impact of short-term forecast errors of wind power on AC system network losses and voltage levels immediately. The proposed model is applied to the IEEE 30-node and IEEE 118-node example, and the validity and feasibility of the proposed model are verified.

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杨喆麟,汪可友,李国杰.考虑风电不确定性的VSC-MTDC互联系统 两阶段交直流最优潮流[J].电力系统保护与控制,2020,48(14):25-34.[YANG Zhelin, WANG Keyou, LI Guojie. Two-stage AC/DC optimal power flow with VSC-MTDC considering uncertainty of wind power[J]. Power System Protection and Control,2020,V48(14):25-34]

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  • 收稿日期:2019-08-22
  • 最后修改日期:2019-07-13
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  • 在线发布日期: 2020-07-15
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