Joint Planning of Multi-type Energy Storages and Flexible Resources for High-penetration Renewable Energy Integration

被引:0
作者
Cai, Shaorong [1 ]
Feng, Jianzhou [2 ]
Zhang, Peng [1 ]
Hu, Zechun [2 ]
Duan, Xiaoyu [2 ]
机构
[1] State Grid Corp China, Southwest Branch, Chengdu, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
来源
2023 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA, I&CPS ASIA | 2023年
关键词
flexible resources planning; aggregated boundary model; renewable energy; long-term energy storage; SYSTEM; FLEXIBILITY; TRANSMISSION; MODEL;
D O I
10.1109/ICPSASIA58343.2023.10294430
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the large-scale integration of renewable energy, how to balance the power supply and demand economically and effectively has become an important issue for power systems. Under this circumstance, it is necessary to consider the utilization of flexible resources (FRs) in power system planning. In this paper, a joint planning method of multi-type energy storage systems (ESSs) and flexible resources is proposed, considering the seasonal energy balance of power systems, different balance periods of ESSs as well as the differences of flexibility of FRs among multiple days. Firstly, several typical demand-side flexible resources are modeled, and an aggregate boundary model is adopted to unify the various flexible resources into aggregate feasible region. Then, a planning model for multi-type ESSs and FRs is proposed, which embeds an annual operation simulation of the power system. Energy of ESSs is separated into inter-day energy and intra-day energy to describe the seasonal energy balance of the power system. Thirdly, an acceleration strategy based on hierarchical clustering is proposed. Finally, the proposed method is tested using HRP-38 system. Simulation results verify the effectiveness of the proposed method.
引用
收藏
页码:1392 / 1398
页数:7
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