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1.输配电装备及系统安全与新技术国家重点实验室(重庆大学),重庆市 400044
2.国网重庆市电力公司电力科学研究院,重庆市 401123
Received:22 March 2024,
Revised:2024-08-13,
Published Online:27 September 2024,
Published:10 March 2025
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LEI Xingyu,YANG Linze,CHEN Yongtao,et al.Chance-constrained Economic Dispatch Method Considering Fine-grained Response Actions of Automatic Generation Control[J].Automation of Electric Power Systems,2025,49(5):118-127.
雷星雨,杨林泽,陈咏涛等.计及自动发电控制精细响应动作的机会约束经济调度方法[J].电力系统自动化,2025,49(5):118-127. DOI: 10.7500/AEPS20240322003.
LEI Xingyu,YANG Linze,CHEN Yongtao,et al.Chance-constrained Economic Dispatch Method Considering Fine-grained Response Actions of Automatic Generation Control[J].Automation of Electric Power Systems,2025,49(5):118-127. DOI: 10.7500/AEPS20240322003.
新能源的随机波动性致使机组的自动发电控制(AGC)动作行为对系统运行的影响愈发凸显,现有随机优化经济调度方法难以计及调度时段内AGC机组在细颗粒时间尺度下的实际响应动作,严重威胁到电网安全运行。为此,文中提出一种显式计及AGC细颗粒时间尺度响应动作的机会约束经济调度方法。首先,构建了考虑净负荷不确定性的AGC细颗粒时间尺度响应模型,以AGC实际响应策略为依托,在机会约束框架下构建了AGC机组对净负荷波动及其不确定性的响应模式,实现了在细颗粒时间尺度下对AGC机组响应动作的精确建模。然后,提出了内嵌AGC细颗粒时间尺度响应模型的机会约束经济调度方法,在机会约束经济调度模型中考虑了AGC机组在细颗粒时间尺度下的响应动作。最后,解析转化了所提机会约束经济调度模型,实现了AGC细颗粒时间尺度响应动作的显式表征。文中所提建模方法不局限于机会约束,也可适用于多场景、鲁棒优化等随机优化方法。算例分析表明,文中所提方法较现有机会约束经济调度方法提供了更为经济安全的调度方案。
The random volatility of renewable energy has made the influence of automatic generation control (AGC) actions of units on the system operation increasingly prominent. The existing stochastic optimal economic dispatch methods are difficult to account for the actual response actions of AGC units on fine-grained timescales during the dispatch periods
seriously threatening the safe operation of the power grid. Therefore
this paper proposes a chance-constrained economic dispatch method explicitly considering response actions of AGC units on fine-grained timescales. First
the response model of AGC units on fine-grained timescales considering the uncertainty of net load is constructed. Based on the actual response strategy of AGC
a response mode of AGC units to net load fluctuations and their uncertainties is constructed under the chance-constrained framework
achieving accurate modeling of AGC unit response actions on fine-grained timescales. Then
a chance-constrained economic dispatch method embedded with AGC unit response models on fine-grained timescales is proposed
which considers the response actions of AGC units on fine-grained timescales in the chance-constrained economic dispatch model. Finally
the proposed chance-constrained economic dispatch model is reformulated in an analytical form
achieving an explicit characterization of the response actions of AGC units on fine-grained timescales. The proposed modeling method is not limited to the chance-constrained optimization and can also be applied to stochastic optimization methods such as multi-scenario and robust optimization. The case analysis shows that the proposed method provides a more economical and secure dispatch scheme compared with existing chance-constrained economic dispatch methods.
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