摘要
新能源电力系统特别是光伏发电,凭借清洁可再生特性在全球快速发展。然而光伏出力受光照天气等因素影响,存在显著间歇性和波动性,导致电网频率和电压不稳定,严重制约新能源大规模并网与高效利用。在此背景下,储能技术成为平衡电力供需、提升系统稳定性的重要途径。物理储能技术(如抽水蓄能、压缩空气储能、飞轮储能)凭借高效率、大容量及快速响应能力在新能源优化设计中展现独特优势。文章旨在探究基于物理储能技术的光伏电力系统优化设计,通过分析不同储能技术特性,结合系统优化模型和智能算法解决光伏出力不确定性问题,提高系统整体性能。
The new energy power system,especially photovoltaic power generation,is developing rapidly worldwide due to its clean and renewable characteristics.However,the output of photovoltaic power is significantly intermittent and fluctuating due to factors such as sunlight and weather conditions,which leads to unstable grid frequency and voltage and seriously restricts the large-scale grid connection and efficient utilization of new energy.Against this backdrop,energy storage technology has become an important way to balance power supply and demand and enhance system stability.Physical energy storage technologies(such as pumped storage,compressed air energy storage,and flywheel energy storage)have demonstrated unique advantages in the optimization design of new energy due to their high efficiency,large capacity,and rapid response capabilities.This article aims to explore the optimal design of photovoltaic power systems based on physical energy storage technology.By analyzing the characteristics of different energy storage technologies and combining system optimization models and intelligent algorithms,it addresses the uncertainty of photovoltaic output and enhances the overall performance of the system.
出处
《电力系统装备》
2025年第12期67-69,共3页
Electric Power System Equipment
关键词
储能技术
新能源电力系统
系统优化
模型预测控制
energy storage technology
new energy power system
system optimization
model predictive control
