考虑灵活性供需平衡的新型电力系统长短期 储能联合规划  

Joint Long-term and Short-term Energy Storage Planning for New Power System Considering Supply and Demand Balance of Flexibility

作　　者：刘丽军[1,2] 黄伟东 陈泽楷 蒋怡晴 黄俊强 陈飞雄 LIU Lijun;HUANG Weidong;CHEN Zekai;JIANG Yiqing;HUANG Junqiang;CHEN Feixiong(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,Fujian Province,China;Key Laboratory of Energy Digitalization(Fuzhou University),Fuzhou 350108,Fujian Province,China)

机构地区：[1]福州大学电气工程与自动化学院,福建省福州市350108 [2]数字能源福建省高校重点实验室(福州大学),福建省福州市350108

出　　处：《电网技术》2024年第12期4908-4917,I0020-I0026,I0019,共18页Power System Technology

基　　金：国家自然科学基金项目(52477084,52107080);福建省财政厅财政资助专项(83022005)。

摘　　要：随着可再生能源渗透率的不断提高,以电化学储能为代表的短期储能技术将难以满足新型电力系统消纳可再生能源的需求,与此同时,灵活性也将成为系统运行特性的核心和关键。因此,提出了一种考虑灵活性供需平衡的长短期储能联合规划方法。首先,针对不同时间尺度储能技术的特点,统筹短时功率和长期能量的双重调节,考虑灵活性供需平衡并结合价格型需求响应机制,建立了以系统年化综合成本最低为优化目标的长短期储能联合规划模型。其次,为简化问题规模,利用深度卷积嵌入聚类算法在各月份提取典型场景重新刻画全年时序,并通过风光储容量规划和灵活性校验2个阶段的迭代优化求解模型。最后,以中国东部某地区为算例,验证了所提规划方法在兼顾未来可再生能源高渗透的新型电力系统规划经济性和运行灵活性方面的有效性。With the increasing penetration of renewable energy,short-term energy storage technology represented by electrochemical energy storage will make it difficult to meet the demand for new power systems to consume renewable energy,and at the same time,flexibility will become the core and key to the operational characteristics of the system.Therefore,this paper proposes a joint long-term and short-term energy storage planning method considering the flexibility of supply-demand balance.First,for the characteristics of energy storage technologies in different time scales,this paper integrates the dual regulation of short-term power and long-term energy,considers the flexibility of supply-demand balance combines the price-based demand response mechanism,and establishes a joint planning model of long-term and short-term energy storage with the lowest annualized comprehensive cost of the system as the optimization goal.Second,to simplify the problem size,typical scenarios are extracted each month to re-sculpt the whole year's time sequence using a deep convolutional embedding clustering algorithm,and the model is optimally solved through two stages of capacity planning of wind,photovoltaic,and energy storage and flexibility calibration.Finally,the effectiveness of the planning method proposed in this paper in considering the economics and operational flexibility of a new power system with high penetration of renewable energy in the future is verified by using a region in eastern China as an example.

关 键 词：高比例可再生能源 新型电力系统 长短期储能联合 灵活性 深度嵌入聚类 风光储容量规划 

分 类 号：TM721[电气工程—电力系统及自动化]