杨政校,张鑫,杜刃刃,饶贇,卢燕旋,谢敏
YANG Zhengxiao,ZHANG Xin,DU Renren,RAO Yun,LU Yanxuan,XIE Min

• 1:贵州电网有限责任公司贵安供电局
• 2:华南理工大学电力学院

摘要(Abstract)：

为突破传统规划方法中源网荷被动匹配的技术限制，降低源荷双侧不确定性给系统运行带来的负面影响，提出一种基于IGDT（信息间隙决策理论）的源网荷储协调优化规划方法。首先，考虑源网荷储元件特性与电网运行，建立源网荷储协调优化规划基本框架与模型。其次，基于IGDT构建新能源出力与负荷需求的不确定集，提出综合偏差系数计算方法。然后，以综合偏差系数最大化为目标，建立考虑多重不确定性的源网荷储协调优化规划鲁棒模型，并进行线性化求解。最后，通过算例分析对所提模型进行验证。结果表明，所提源网荷储协调规划方案能够在规划决策者承受的成本范围内有效应对源荷双侧的多重不确定性。
To overcome the limitations of traditional planning methods where generation, grid, and load are passively matched, and to mitigate the negative impacts of generation-load uncertainties on system operation, this paper proposes a coordinated optimal planning method for generation-grid-load-storage(GGLS) systems based on info-gap decision theory(IGDT). Firstly, considering the characteristics of GGLS components and grid operation, a fundamental framework and model for coordinated optimal GGLS planning are established. Secondly, uncertainty sets for renewable generation output and load demand are constructed using IGDT, with a comprehensive deviation coefficient calculation method proposed. Then, to maximize the comprehensive deviation coefficient, a robust GGLS planning model accounting for multiple uncertainties is developed and linearized for solution. Finally, case studies verify the proposed model. Results demonstrate that the coordinated GGLS planning scheme can effectively handle multiple uncertainties from both generation and load sides while maintaining costs within the planner's acceptable range.

关键词(KeyWords)： 新能源;源网荷储;信息间隙决策理论;协调优化规划;多重不确定性
new energy resources;GGLS;IGDT;coordinated optimal planning;multiple uncertainties

Abstract:

Keywords:

基金项目(Foundation): 广东省基础与应用基础研究基金面上项目(2022A1515240074);; 贵州电网有限责任公司科技项目(GZKJXM20210439)

作者(Author): 杨政校,张鑫,杜刃刃,饶贇,卢燕旋,谢敏
YANG Zhengxiao,ZHANG Xin,DU Renren,RAO Yun,LU Yanxuan,XIE Min

DOI: 10.19585/j.zjdl.202507012

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