提升新能源消纳含风险度量的输-储优化规划

程瑜; 朱瑾; 彭冬; 刘宏杨; 胡帅

doi:10.19912/j.0254-0096.tynxb.2022-0865

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (10) : 504-513. DOI: 10.19912/j.0254-0096.tynxb.2022-0865

提升新能源消纳含风险度量的输-储优化规划

程瑜¹, 朱瑾¹, 彭冬², 刘宏杨², 胡帅³

作者信息 +

OPTIMIZATION PLANNING OF TRANSMISSION LINE AND ENERGY STORAGE FOR CONSUMPTION CAPACITY IMPROVEMENT OF RENEWABLE ENERGY WITH RISK ASSESSMENT

Cheng Yu¹, Zhu Jin¹, Peng Dong², Liu Hongyang², Hu Shuai³

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文章历史 +

摘要

双碳战略目标下,输储协同优化规划有利于支撑新能源富集地区实现新能源高效经济汇聚外送。采用基于条件风险价值的投资组合优化模型,刻画输储规划方案在新能源出力与负荷需求不确定条件下的风险成本,计及网架结构和系统调峰对新能源本地消纳和外送的影响,针对新能源富集外送区域建立外送输电通道和储能的协调优化规划模型,并基于多日协调的场景法将含条件风险价值的输储随机规划模型转化为混合整数线性规划模型。算例验证了模型可度量不同风险厌恶程度对输储容量配比及储能布点优化规划方案的影响,有利于提升输储协调规划效率和经济性。

Abstract

Under the background of emission peak and carbon neutrality, the coordinated optimization planning of transmission line and energy storage is beneficial to the efficient and economical delivery of renewable energy. A portfolio optimization model based on conditional value at risk is used to describe the risk cost of transmission line and energy storage planning scheme under the uncertainty of renewable energy output and load demand.Thus, the coordinated optimization planning model of transmission line and energy storage is established for the renewable energy centralized delivery area, considering the effect of grid structure and power peak regulation on the local consumption and outside delivery of renewable energy. Based on multi-day coordination scenario analysis method, the stochastic programming model with conditional value at risk is transformed into a mixed integer linear programming model. The case study is presented to verify that the model performs well in measuring the influence of different risk aversion degrees on the optimal ratio of transmission line and energy storage capacity as well as the optimal energy storage site selection, which is conducive to the efficiency and economy improvement on the coordinated planning scheme of transmission line and energy storage.

导出引用

程瑜, 朱瑾, 彭冬, 刘宏杨, 胡帅. 提升新能源消纳含风险度量的输-储优化规划[J]. 太阳能学报. 2023, 44(10): 504-513 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0865

Cheng Yu, Zhu Jin, Peng Dong, Liu Hongyang, Hu Shuai. OPTIMIZATION PLANNING OF TRANSMISSION LINE AND ENERGY STORAGE FOR CONSUMPTION CAPACITY IMPROVEMENT OF RENEWABLE ENERGY WITH RISK ASSESSMENT[J]. Acta Energiae Solaris Sinica. 2023, 44(10): 504-513 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0865

中图分类号： TM715

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