Robust Security-constrained Unit Commitment in VSC-MTDC Interconnected Systems for Promoting Wind Power Consumption

SUN Jun; AI Xin

doi:10.19725/j.cnki.1007-2322.2023.0287

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Robust Security-constrained Unit Commitment in VSC-MTDC Interconnected Systems for Promoting Wind Power Consumption

更新时间：2025-12-11

- Robust Security-constrained Unit Commitment in VSC-MTDC Interconnected Systems for Promoting Wind Power Consumption
- Issue 6, Pages: 1289-1298(2025)
- 作者机构：
  
  华北电力大学电气与电子工程学院, 北京市昌平区,102206
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2023.0287
  CLC：
- Published：2025
- 稿件说明：
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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：

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.

摘要

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。

Abstract

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.

关键词

Keywords

references

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