首页|新能源风力发电系统中储能技术的应用探索

新能源风力发电系统中储能技术的应用探索

扫码查看
[目的]针对风力发电系统中风电出力的波动性和间歇性给电网调度运行带来的挑战,探索储能技术与风电系统相结合的解决方案,以提高风电的消纳水平和经济性.[方法]在分析风力发电和储能技术特点的基础上,重点研究储能在风电系统中的应用与集成优化,包括储能系统的集成设计原则、功率管理与能量调度策略及储能控制和优化算法.[结果]通过合理配置储能系统,优化其控制和调度策略,能有效平滑风电出力波动,提高风电的利用效率,减少弃风限电,增强电网对风电的消纳能力.[结论]将储能技术与风力发电系统进行深度融合,对促进风电的大规模发展应用、提高其经济性和供电可靠性具有重要意义.该研究为风电场的规划设计和运行优化提供有益参考.
Exploration of Practical Applications of Energy Storage Technology in New Energy Wind Power Generation Systems
[Purposes]In response to the challenges posed by the fluctuation and intermittency of wind power output to the dispatch and operation of power grid in wind power generation systems,this paper ex-plores the solution of integrating energy storage technology with wind power systems to improve the level of wind power consumption and its economic efficiency.[Methods]Based on the analysis of the charac-teristics of wind power generation and energy storage technology,this study focuses on the application and integration optimization of energy storage in wind power systems,including the principles of energy storage system integration design,power management and energy scheduling strategies,as well as energy storage control and optimization algorithms.[Findings]By rationally configuring energy storage systems and optimizing their control and scheduling strategies,wind power output fluctuations can be effectively smoothed,wind power utilization efficiency can be improved,wind abandonment and power curtailment can be reduced,and the grid's capacity to absorb wind power can be enhanced.[Conclusions]The deep integration of energy storage technology with wind power generation systems is of great significance for promoting the large-scale development of wind power,improving its economic efficiency and power supply reliability.This study provides useful references for the planning,design,and operation optimization of wind farms.

wind power generationenergy storage technologyfluctuationsystem integrationabsorptive capacity

田子健

展开 >

江西龙源新能源有限公司,江西 南昌 330038

风力发电 储能技术 波动性 系统集成 消纳能力

2024

河南科技
河南省科学技术信息研究院

河南科技

影响因子:0.615
ISSN:1003-5168
年,卷(期):2024.51(22)