储能科学与技术2026，Vol.15Issue(4)：1275-1291,17.DOI:10.19799/j.cnki.2095-4239.2025.0918
百兆瓦级源网荷储一体化园区多时间尺度调度策略
Multi-timescale scheduling strategy for a 100 MW-level source-grid-load-storage integrated park
摘要
Abstract
With the global transition toward clean and low-carbon energy systems,the randomness and volatility associated with high-penetration renewable energy integration pose significant challenges to power system balance.Traditional"source-follows-load"dispatching models struggle to accommodate large-scale renewable energy consumption.This study focuses on a 100 MW-level source-grid-load-storage integrated industrial park in Xinjiang and proposes a three-stage multi-timescale dispatching strategy,including day-ahead optimization,intraday rolling correction,and real-time rapid-response scheduling.To efficiently solve(PSO)the resulting high-dimensional dispatch model,an elite-preferred particle swarm optimization algorithm is developed.The algorithm generates initial solutions through logical judgment and introduces an elite particle screening mechanism,which significantly reduces the search dimension and effectively avoids local optima.Practical implementation demonstrates that monthly wind and solar curtailment was reduced to 4.9%,achieving renewable energy absorption of 62200.13 MWh per month.A self-developed smart control platform addresses the challenges of renewable energy integration and power balance in 100 MW-level industrial parks.This research fills the technical gap in large-scale integrated energy system regulation,provides a replicable solution for low-carbon transformation,and supports the construction of new power systems.关键词
源网荷储一体化/多时间尺度调度/精英优选的粒子群优化/新能源消纳/100MW工业园区Key words
source-grid-load-storage integration/multi-timescale dispatching/particle swarm optimization/renewable energy consumption/100 MW-level industrial park分类
信息技术与安全科学引用本文复制引用
沈钱锋,白伊琳,王俊月,宋政湘,杨騉,孟锦豪..百兆瓦级源网荷储一体化园区多时间尺度调度策略[J].储能科学与技术,2026,15(4):1275-1291,17.基金项目
新疆维吾尔自治区科技计划项目(2023112806). （2023112806）
