摘要
随着新型电力系统低碳化转型,新能源装机占比跃升发展,新能源出力与负荷跨季尺度的电力电量平衡对长时灵活性的需求进一步加剧,长时储能成为维持系统长期容量充裕性的一种新兴容量资源。现有面向传统发电机组的容量成本回收机制尚未将长时储能纳入考虑范畴,长时储能系统发展的经济驱动不足。针对长时储能系统适度容量补偿的机制设计问题,基于周期内和周期间双粒度时间网格结构,提出变周期时序规划场景缩减方法,并建立长时储能适配容量优化模型测算容量补偿需求。结合某新能源富集区域算例,验证长时储能适配容量和补偿水平测算模型有效性,并基于关键因素的灵敏度分析,探讨长时储能容量补偿需求下降的演化趋势,为推动长时储能可持续发展提供容量补偿机制设计的参考。
Along with the low-carbon transformation of the new power system,the proportion of installed renewable energy surges,and the cross-seasonal power and electricity balance between the load and renewable energy further promotes the demand for long-term flexibility.The long-term energy storage has become an emerging capacity resource to maintain the long-term capacity sufficiency of the system.The long-term energy storage has not been considered in the existing capacity cost payment mechanism for the traditional power generation units,so the economic drive for the development of the long-term energy storage is insufficient.Aiming at the mechanism design of the appropriate capacity payment for the long-term energy storage system,a planning scenario reduction method for the variable period time series is proposed based on the dual-granularity time grid structure containing intra-period and inter-period,and a capacity optimization model for the long-term energy storage is established to measure the capacity payment demand.Combined with a case of a renewable energy enrichment region,the validity of the calculation model of the long-term energy storage capacity and payment level is verified.Based on the sensitivity analysis of critical factors,the declined evolution trend of the capacity payment demand for the long-term energy storage is discussed,which provides a reference for the capacity payment mechanism design to promote the sustainable development of the long-term energy storage.
作者
陈熙
程瑜
丁肇豪
CHEN Xi;CHENG Yu;DING Zhaohao(School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2023年第7期32-41,共10页
Automation of Electric Power Systems
基金
国家重点研发计划资助项目(2019YFE0118400)。
关键词
氢储能
长时储能
适配容量优化
时序场景生成
容量补偿
hydrogen storage
long-term energy storage
adaptive capacity optimization
time series scenario generation
capacity payment
