基于精细化运行模拟的源-网-储协同短期扩展规划

doi:10.6040/j.issn.1672-3961.0.2023.259

摘要/Abstract

摘要： 针对高比例新能源电力系统运行方式复杂多变特征,提出一种基于精细化运行模拟的短期扩展规划方法,实现源-网-储协同优化配置,通过运行过程精细化模拟支撑运行关联指标准确计算,保证规划方案性能指标与规划目标的一致性。构建综合初始投资与运行性能的电力系统源-网-储协同扩展模型;基于模型特征分析将扩展规划问题分解为规划-运行双层优化问题,在运行层面嵌入精细化运行模拟,保证运行指标准确计算;结合双层规划问题特征,融合第二代非支配排序遗传算法(nondominated sorting genetic algorithm Ⅱ, NSGA-Ⅱ)架构设计求解算法,实现兼顾初始投资与运行性能的方案优选。基于IEEE-30节点系统的算例分析表明,所提扩展规划方法可避免基于典型场景规划方法偏离规划目标的问题,将系统投资与运行总费用降低约2%。

关键词: 精细化运行模拟, 源-网-储协同扩展规划, 高比例新能源, 遗传算法, 双层规划模型

中图分类号:

TM715

陈吟枫,肖晋宇,侯金鸣,江涵,赵小令,施啸寒. 基于精细化运行模拟的源-网-储协同短期扩展规划[J]. 山东大学学报 (工学版), 2024, 54(6): 156-166.

CHEN Yinfeng, XIAO Jinyu, HOU Jinming, JIANG Han, ZHAO Xiaoling, SHI Xiaohan. Coordinated short-term source-grid-storage expansion planning based on refined operation simulation[J]. Journal of Shandong University(Engineering Science), 2024, 54(6): 156-166.

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