华北电力大学 电气与电子工程学院, 北京市 昌平区,102206
[ "孙俊(2000),男,硕士研究生,主要研究方向为电力系统及其自动化,E-mail:120212201487@ncepu.edu.cn" ]
[ "艾欣(1964),男,博士,教授,博士生导师,主要研究方向为新型电力系统分析与控制,E-mail:aixin@ncepu.edu.cn" ]
纸质出版:2025
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孙俊, 艾欣. 促进风电消纳的VSC-MTDC互联系统鲁棒性安全约束机组组合[J]. 现代电力, 2025,(6):1289-1298.
SUN Jun, AI Xin. Robust Security-constrained Unit Commitment in VSC-MTDC Interconnected Systems for Promoting Wind Power Consumption[J]. 2025, (6): 1289-1298.
孙俊, 艾欣. 促进风电消纳的VSC-MTDC互联系统鲁棒性安全约束机组组合[J]. 现代电力, 2025,(6):1289-1298. DOI: 10.19725/j.cnki.1007-2322.2023.0287.
SUN Jun, AI Xin. Robust Security-constrained Unit Commitment in VSC-MTDC Interconnected Systems for Promoting Wind Power Consumption[J]. 2025, (6): 1289-1298. DOI: 10.19725/j.cnki.1007-2322.2023.0287.
为减少温室气体的排放,以风电为代表的清洁能源大规模接入电网。如何消纳高占比、波动剧烈的风电,成为现代电力系统所面临的重要问题。在此背景下,将多端柔性直流输电系统(VSC based multi-terminal HVDC
VSC-MTDC)对功率的灵活调节能力纳入安全约束机组组合(security-constrained unit commitment
SCUC)问题中进行调控。设计日前机组组合、短期实时调节和滚动重调节三段式配合的调度框架,并基于列与约束生成算法(column-and-constraint generation
CCG)设计三层迭代求解方法。通过该方法解决了传统二阶段鲁棒性机组组合偏于保守的弊端,有效提高了风电消纳。为了充分利用VSC换流站能独立调节有功、无功的优势,在SCUC结果的基础上进行无功电压优化,并基于Benders分解算法进行求解,有效降低了系统网损。最后,将所提模型应用于改进IEEE 30节点系统算例,验证模型的有效性和可行性。
To reduce greenhouse gas emissions
the integration of clean energy represented by wind power into the grid has been implemented on a large scale. Addressing the challenges associated with absorbing the high proportion and fluctuating wind power has become an crucial concern for modern power systems. In this context
the flexible adjustment capability of active and reactive power of voltage source converter (VSC) based multi-terminal high voltage direct current (VSC-MTDC) system is incorporated into the security-constrained unit commitment (SCUC). A three-stage scheduling framework
consisting of day-ahead unit commitment
short-term real-time adjustment and rescheduling
is designed. Meanwhile
a three-level iterative solution method is developed based on the column-and-constraint generation algorithm (CCG). The conservative nature of the traditional two-stage robust unit combination is addressed and wind power consumption is improved. Moreover
to take full advantage of the VSC converter station's ability to independently adjust active and reactive power
the reactive power-voltage is optimized based on the solution of SCUC and solved using the Benders decomposition algorithm
which effectively reduced the system network loss. Finally
an improved IEEE 30-node system is utilized as an example for model’s feasibility and validity verification.
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