Integration of large-scale wind power is one of the significant challenges to the smart grid in China. For security problems and challenges to power system due to wind power’s intermittency, uncertainty, volatility and uncontrollability, four aspects involved in transmission planning considering large-scale wind power integration are studied in this project as follows. .Firstly, the probabilistic production simulation considering large-scale wind power intergration is proposed. Characteristics of frequency regulation and peak regulation with various modes of power regulation under large-scale wind power intergration are studied. Based on the combination of the optimization model for unit commitment and power grid planning, the coordinated optimization models of network-source planning with different modes of power regulation are established..Secondly, considering the effect of large-scale wind power integration on the self-healing performance of the transmission system, the capability indices which reflect the self-healing performance of the power system are put forward. A multi-objective bilevel model for the self-healing planning of the power system with large-scale wind power is built, which combines self-healing performance and power grid optimization. .Thirdly, based on the research on uncertainties that large-scale wind power integration brings to power grid, risk evaluation indicators and risk control strategy are presented. The multi-objective risk planning models considering uncertainties are constructed. .Fourthly, the Life Cycle Cost (LCC)model and comprehensive benefit of transmission system under large-scale wind power intergration are investigated. The value indicators based on LCC are presented, and the multi-objective value planning models are successively proposed..The research achievements will strongly support to solve the basic problems effectively, which are related to transmission system planning under the circumstance of large-scale wind power integration.
大规模风电场群接入是中国国情智能电网的发展方向。针对风电的间歇性、随机性、波动性及不可控性给电力系统安全运行带来的压力和挑战,本项目从提出考虑风电场群接入的随机生产模拟着手,研究大规模风电场群接入后不同功率调节方式的调峰与调频特性,并将机组组合优化与电网规划相结合,建立考虑不同功率调节方式的网源协调规划模型;研究大规模风电场群接入对输电系统网架自愈的影响,提出表征电网自愈的性能指标,建立大规模风电场群接入的网架优化与自愈相结合的二层多目标电网自愈规划模型;研究大规模风电场群接入带来的不确定因素,提出风险评价指标体系和风险控制策略,建立考虑多不确定性的输电系统多目标风险规划模型;研究大规模风电场群接入的输电系统全寿命周期成本模型及其综合效益,提出全寿命周期成本的价值指标,建立输电系统多目标价值规划模型。研究成果可以在规划层面有效地解决大规模风电场群接入输电系统的相关基础科学问题。
本项目针对大规模风电场群接入输电系统带来的复杂不确定性难题,首先,建立了大规模风电场群数学模型,给出了大规模风电场群接入的随机生产模拟方法和机组组合优化方法,提出了考虑风电功率调节方式的网源协调规划方法,统筹运行和规划两个层面,实现了输电系统和风电场群的协调发展;然后,通过仿真模拟分析了大规模风电场群接入对网络自愈以及储能配置的需求,建立了反映输电系统自愈性能的指标,提出了大规模风电场群接入的输电系统自愈规划方法,提高了含大规模风电场群输电系统的自愈能力;再次,建立了输电系统风险评价指标体系和风险控制策略,提出了不确定性的输电系统风险规划方法,提高了含大规模风电场群输电系统的抗风险、抗不确定性扰动的能力;最后,建立了大规模风电场群接入的输电系统三维全寿命周期成本模型和综合效益模型,建立了输电系统价值指标,提出了基于全寿命周期成本的输电系统价值规划,从全寿命周期的角度更好地实现了含大规模风电场群输电系统的经济性。某省级区域电网的实例分析表明该项目成果给出的输电网规划方案,相比传统规划方案或现有规划方案,全寿命周期经济性更优、风险指标更低、自愈性能更好,同时也兼顾了电源侧的运行经济性,能够为大规模风电场群接入输电系统提供有效指导。
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数据更新时间:2023-05-31
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