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大规模可再生能源发电友好并网与运行调控技术研究综述

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"双碳"目标下大规模可再生能源系统的友好并网与稳定运行问题被广泛关注,但受精确的发电不确定性建模技术与科学的并网调控策略制约.为解决这一问题,从可再生能源发电预测与不确定性建模、可再生能源系统并网运营模式、可再生能源系统并网控制方法三个方面进行梳理和总结,讨论了不同时间尺度下发电不确定性预测技术、针对多场景运行需求的不确定性建模技术;从可再生能源-储能系统、可再生能源集群-独立储能系统、多能源互补系统三个角度分析总结了目前并网运营模式;在此基础上,分析总结了跟网型与构网型两种并网控制策略.最后展望了高比例可再生能源系统在未来电网形态演变中的发展方向,以期为新型电力系统中可再生能源与电网协同发展的研究和技术应用提供借鉴.
A Review of Research on Friendly Grid Connection and Operation Control Technology for Large Scale Renewable Energy Generation
The field of grid-connected renewable energy systems has attracted wide attention,scientific and accurate generation uncertainty modeling technology and control strategy limit its grid-connected stability,and its inexperienced operation mode impedes its sustainable development.To this end,this paper summarizes and analyzes the uncertainty prediction and modeling analysis of renewable energy power generation,the grid-connected operation mode analysis of renewable energy systems,and the grid-connected control method analysis of renewable energy systems,and discusses the uncertainty prediction technology of power generation under different time scales and the uncertainty modeling technology for multi-scenario operation demand.From the perspectives of renewable energy-energy storage systems,renewable energy clusters-independent storage systems,and multi-energy complementary systems,this study comprehensively analyzes and summarizes the current operational models of renewable energy grid integration;Building upon this foundation,the study analyzes and summarizes network-type and structure-type operational control strategies.Furthermore,it envisions the development direction of high-proportion renewable energy systems in the future evolution of the power grid,aiming to provide insights for the research and technological applications of the coordinated development of renewable energy and the grid in novel power systems.

renewable energygrid-connecteduncertaintyoperation modeoperation regulation

王维庆、李笑竹、褚龙浩

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新疆大学电气工程学院,新疆乌鲁木齐 830017

可再生能源 友好并网 不确定性 运营模式 运行调控

国家自然科学基金&&

5226700552307108

2024

新疆大学学报(自然科学版)(中英文)
新疆大学

新疆大学学报(自然科学版)(中英文)

CSTPCD
影响因子:0.13
ISSN:2096-7675
年,卷(期):2024.41(2)
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