文章摘要
梁子鹏,陈皓勇,郑晓东,等.考虑风电极限场景的输电网鲁棒扩展规划[J].电力系统自动化,2019,43(16):58-67. DOI: 10.7500/AEPS20180609004.
LIANG Zipeng,CHEN Haoyong,ZHENG Xiaodong, et al.Robust Expansion Planning of Transmission Network Considering Extreme Scenario of Wind Power[J].Automation of Electric Power Systems,2019,43(16):58-67. DOI: 10.7500/AEPS20180609004.
考虑风电极限场景的输电网鲁棒扩展规划
Robust Expansion Planning of Transmission Network Considering Extreme Scenario of Wind Power
DOI:10.7500/AEPS20180609004
关键词: 输电网规划  低排放  风力发电  极限场景  风险成本
KeyWords: transmission network planning  low emission  wind power generation  extreme scenario  risk cost
上网日期:2019-07-05
基金项目:国家重点研发计划资助项目(2016YFB0900100)
作者单位E-mail
梁子鹏 华南理工大学电力学院, 广东省广州市 510641  
陈皓勇 华南理工大学电力学院, 广东省广州市 510641 eehychen@scut.edu.cn 
郑晓东 华南理工大学电力学院, 广东省广州市 510641  
王晓娟 华南理工大学电力学院, 广东省广州市 510641  
陈思敏 华南理工大学电力学院, 广东省广州市 510641  
摘要:
      随着风电并网渗透率的快速增长,系统的随机性和波动性显著增强。针对大规模风电并网给输电网规划带来的影响,文中以线路投资成本与运行成本之和最小为优化目标,构建了考虑风电接入的输电网扩展规划模型,并引入辅助松弛变量将模型转化为线性混合整数规划问题。在此基础上,提出了风电极限场景的物理概念,并构建了基于风电极限场景的两阶段输电网鲁棒规划方法,第一阶段为在线路投资扩展约束下决策输电线路的投建状态,以保证第二阶段的运行调节变量可以适应风电的随机波动。针对鲁棒规划模型的特点,采用基于Benders分解的两阶段算法进行求解以获得最优鲁棒规划方案。最后,通过Garver 6系统与IEEE RTS 79系统进行算例分析,验证了所提模型的有效性与可行性。
Abstract:
      With the rapid increase of permeability for wind power integration, the randomness and volatility of power systems are significantly aggravated. To address the impact of large-scale wind power integration on transmission network planning, an expansion planning model of transmission network considering the connection of wind power is established, which minimizes the summation of investment cost and operation cost. The model can be reformulated as a mixed integer linear programming with auxiliary relaxation variables. Furthermore, the physical concept of extreme scenario of wind power is proposed, and then the two-stage robust transmission network planning method based on the extreme scenario of wind power is developed. The prospective transmission lines are decided in the first stage with investment expansion constraint to ensure that the random fluctuation of wind power can be captured in the operation through various adjustment of the second stage. Being in line with the characteristics of robust planning model, a two-stage algorithm based on Benders decomposition is deployed to derive a optimal robust planning scheme. Finally, extensive numerical studies on the Garver 6-bus and IEEE RTS 79 systems are presented, which demonstrates the effectiveness and practicability of the proposed model.
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