电力系统自动化2024，Vol.48Issue(1)：77-87,11.DOI:10.7500/AEPS20230613004
电能型-功率型混合储能日前-日内协同滚动调度策略
Coordinated Day-ahead and Intra-day Rolling Scheduling Strategy for Electricity-Power Hybrid Energy Storage
摘要
Abstract
Hybrid energy storage systems can capitalize on the diverse advantages of different types of energy storage in terms of both capacity and power.However,in rolling optimization scheduling,electricity energy storage resources(such as battery storage)can be limited in their ability to perform peak shaving and load leveling due to relatively short intra-day rolling time windows.Conversely,power energy storage resources(such as super-capacitor)may have their effectiveness in mitigating wind power fluctuations compromised by longer day-ahead time windows.To address these two issues,this paper presents a day-ahead and intra-day coordinated rolling scheduling strategy that simultaneously considers both electricity and power energy storage resources.First,to address the limited peak-shaving capacity of electricity energy storage,the intra-day rolling period is extended to cover the remaining duration of a day and the scheduling horizon are divided into two parts with different temporal resolutions.This approach encourages the maximum possible involvement of this type of energy storage resource in peak shaving and load leveling while simultaneously improving the model computational efficiency.Then,to address the constraint on power energy storage resources for mitigating fluctuations,a strategy that imposes energy quantity constraints within a finite time window based on statistical analysis of extreme points of fluctuations is proposed.This strategy prevents the resource from depleting its energy reserves due to excessive participation in peak shaving and load leveling.Case studies demonstrate that the scheduling strategy presented in this paper harnesses the scheduling potential of different energy storage resources,achieving peak shaving and load leveling while effectively dampening wind power fluctuations and enhancing wind power accommodation capacity.关键词
风电消纳/储能/削峰填谷/滚动调度/两阶段优化Key words
wind power accommodation/energy storage/peak shaving and load leveling/rolling scheduling/two-stage optimization引用本文复制引用
吴永飞,包宇庆..电能型-功率型混合储能日前-日内协同滚动调度策略[J].电力系统自动化,2024,48(1):77-87,11.基金项目
国家自然科学基金资助项目(51707099) （51707099）
江苏省研究生科研与实践创新计划项目(181200003023311). This work is supported by National Natural Science Foundation of China(No.51707099)and Postgraduate Research and Practice Innovation Program of Jiangsu Province(No.181200003023311). （181200003023311）
