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现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市 132012
Received:30 April 2024,
Revised:2024-11-18,
Published Online:01 April 2025,
Published:10 June 2025
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YAN Gangui,XING Aolan,MU Gang,et al.Quantitative Evaluation and Analysis Method for Uncertainty of Daily Power Waveform Based on Benchmark Mode[J].Automation of Electric Power Systems,2025,49(11):29-36.
严干贵,邢奥岚,穆钢等.基于基准模态的日功率波形不确定性量化评估分析方法[J].电力系统自动化,2025,49(11):29-36. DOI: 10.7500/AEPS20240430016.
YAN Gangui,XING Aolan,MU Gang,et al.Quantitative Evaluation and Analysis Method for Uncertainty of Daily Power Waveform Based on Benchmark Mode[J].Automation of Electric Power Systems,2025,49(11):29-36. DOI: 10.7500/AEPS20240430016.
高比例可再生能源电力系统中注入功率不确定性导致功率平衡难,认识系统注入功率的不确定性是合理配置调节资源、保障系统供需平衡的关键。文中从系统运行角度出发,以日功率波形为研究要素,提出一种基于基准模态的日功率波形不确定性量化评估方法,依据日功率波形与基准模态功率波形之间的偏差来度量日功率波动的不稳定程度,据此分析负荷、风电、光伏等多类型日功率波形的不确定性特征。根据多类型日功率波形汇聚后总被动日功率波形与其基准模态功率波形之间的偏差,定量评估了风电、光伏联网带来的系统调节功率和调节电量的需求,为高比例可再生能源电力系统调节资源需求评估提供了理论指导。
In power systems with high proportion of renewable energy
the uncertainty of injected power leads to difficulties in power balance. Recognizing the uncertainty of injected power in the system is the key to rationally allocating and regulating resources and ensuring the balance of supply and demand in the system. From the perspective of system operation and taking the daily power waveform as the research element
a quantitative evaluation and analysis method for uncertainty of daily power waveform based on benchmark mode is proposed. The instability degree of fluctuations of the daily power waveform is measured according to the deviation between the daily power waveform and the benchmark-mode power waveform. Based on this
the uncertainty characteristics of multiple types of daily power waveforms such as load
wind power
and photovoltaic are analyzed. Based on the deviation between the total passive power waveform after the clustering of multiple types of daily power waveforms and its benchmark mode power waveform
the demand of system regulation power and regulation electricity brought by the interconnection of wind power and photovoltaic power is quantitatively evaluated
providing theoretical guidance for the demand evaluation of regulation resource in power systems with high proportion of renewable energy.
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