柳璐, 程浩忠, 吴耀武, 陈皓勇, 张宁, 王智冬. 面向高比例可再生能源的输电网规划方法研究进展与展望[J]. 电力系统自动化, 2021, 45(13): 176-183.
引用本文: 柳璐, 程浩忠, 吴耀武, 陈皓勇, 张宁, 王智冬. 面向高比例可再生能源的输电网规划方法研究进展与展望[J]. 电力系统自动化, 2021, 45(13): 176-183.
LIU Lu, CHENG Haozhong, WU Yaowu, CHEN Haoyong, ZHANG Ning, WANG Zhidong. Research Progress and Prospects of Transmission Expansion Planning Method for High Proportion of Renewable Energy[J]. Automation of Electric Power Systems, 2021, 45(13): 176-183.
Citation: LIU Lu, CHENG Haozhong, WU Yaowu, CHEN Haoyong, ZHANG Ning, WANG Zhidong. Research Progress and Prospects of Transmission Expansion Planning Method for High Proportion of Renewable Energy[J]. Automation of Electric Power Systems, 2021, 45(13): 176-183.

面向高比例可再生能源的输电网规划方法研究进展与展望

Research Progress and Prospects of Transmission Expansion Planning Method for High Proportion of Renewable Energy

  • 摘要: 为应对高比例可再生能源接入带来的消纳问题,提出了以多场景技术、鲁棒优化技术和协同规划技术为核心的输电网规划理论,涵盖不同适用条件或需求场景下的4种不同规划方法,即基于多场景的输电网随机规划方法、基于概率驱动的输电网鲁棒规划方法、考虑多源互补的网-源协同规划方法以及与配电网相协同的输电网规划方法,能够从输电网规划的角度在安全稳定前提下提高可再生能源消纳能力。在此基础上,对未来输电网规划方法进行了展望,提出了满足更高安全稳定需求、协同更广泛的源-网-荷-储柔性互动、推动大数据应用和挖掘电力市场机制激励空间的可能研究方向,并探讨了研究难点和解决方式。

     

    Abstract: In order to deal with the consumption problem caused by the access of high proportion of renewable energy, the transmission planning theory based on multi-scenario technology, robust optimization technology and coordinated planning technology is proposed. The theory is composed of four different planning methods under different applicable conditions or in demand scenarios, i. e., multi-scenario based random planning method of transmission network, probability-driven based robust planning method of transmission network, coordinated network-source planning method considering multi-source complementarity and transmission network planning method coordinated with distribution network. It can improve renewable energy consumption from the perspective of transmission network planning on the premise of security and stability. On this basis, the future transmission network planning methods are prospected, and the possible research areas are proposed, including satisfying higher security and stability requirements, coordinating more extensive source-grid-load storage flexible interaction, promoting the application of big data and exploring the incentive space of electricity market mechanism. The corresponding research difficulties and feasible solutions are discussed.

     

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