摘要
文章介绍了传统基于典型日方法的园区级配电侧调峰资源配置方法,分析了传统方法存在的技术缺陷。从风电数据、光伏数据、新增负荷数据三个方面给出了数据处理过程。提出了考虑新能源消纳电量和调峰资源出力方差的园区级配电侧调峰资源配置优化计算模型,计算模型包含优化目标函数和约束条件两部分,约束条件主要包含可再生能源出力约束、调峰资源出力约束、储能荷电状态约束、网络约束等因素。论述了用于调峰资源配置计算的主要指标和配置方法的总体流程,并通过算例验证了所提方法的适用性和有效性。
This article briefly introduces the traditional allocation method of park level distribution measurement and peak shaving resources based on the typical day method,and analyzes the technical defects of the traditional method.The data processing process is presented from three aspects:wind power data,photovoltaic data,and newly added load data.A calculation model for optimizing peak shaving resource allocation on the distribution side at the park level,considering the variance of new energy consumption and peak shaving resource output,is proposed.The calculation model includes two parts:optimization objective function and constraint conditions.The constraint conditions mainly include renewable energy output constraints,peak shaving resource output constraints,energy storage state of charge constraints,network constraints,and other factors.The overall process of the main indicators and allocation methods used for peak shaving resource allocation calculation is discussed,and the applicability and effectiveness of the proposed method are verified through numerical examples.
作者
李学斌
徐兵
亢晓峰
程宇
刘伟
曹艳楠
赵号
LI Xuebin;XU Bing;KANG Xiaofeng;CHENG Yu;LIU Wei;CAO Yannan;ZHAO Hao(China Energy Engineering Group Tianjin Electric Power Design Institute Co.,Ltd.,Tianjin 300000,China)
出处
《电力勘测设计》
2025年第8期41-49,共9页
Electric Power Survey & Design
关键词
储能
调峰资源
低碳园区
时序场景
可再生能源
energy storage
peak shaving resources
low carbon park
temporal scenario
renewable energy
