Modeling concentrating solar power plants in power system optimal planning and operation: A comprehensive review

被引:2
|
作者
Wang, Yang [1 ]
Luo, Shuyu [1 ]
Yao, Lingxiang [1 ,2 ,3 ]
Du, Ershun [4 ]
Guan, Zhiwen [1 ]
Xiao, Xianyong [1 ]
机构
[1] Sichuan Univ, Coll Elect Engn, Chengdu 610044, Peoples R China
[2] Univ Macau, State Key Lab Internet Things Smart City, Macau 999078, Peoples R China
[3] Univ Macau, Dept Elect & Comp Engn, Macau 999078, Peoples R China
[4] Tsinghua Univ, Lab Low Carbon Energy, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Concentrating solar power; High renewable energy penetration; Power system planning; Power system operation; THERMAL-ENERGY STORAGE; DYNAMIC SIMULATION; SPINNING RESERVE; OPTIMAL-DESIGN; CSP PLANTS; PV PLANTS; WIND; OPTIMIZATION; GENERATION; STRATEGY;
D O I
10.1016/j.seta.2024.103992
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The increasing integration of intermittent renewable energy sources has significantly intensified the demand for flexible resources. In this context, concentrating solar power (CSP) stands poised to play a critical role due to its controllable and dispatchable capabilities. However, the dearth of guidelines for modeling CSP in power system optimal planning and operation hinders accurate characterization of CSP's operational properties. This paper proposes a novel modeling framework to guide the representation of CSP in different planning and operation scenarios. Firstly, multi-type CSP models are summarized and compared thoroughly in terms of application scenarios and levels of detail. Subsequently, the state-of-the-art development of optimal planning and operation for CSP in high renewable energy penetrated power systems are reviewed from three topics: topological structure and optimal sizing, system expansion planning, and optimal operation scheduling. Next, the CSP modeling approach applicable to the specific research problem under each topic is clarified. It is indicated that energy flow models are the predominant modeling approach for CSP. Finally, recommendations for future research are proposed to pave the way for further advancement in CSP modeling and optimization.
引用
收藏
页数:18
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