Accommodation capacity evaluation of renewable energy in power systems considering peak and frequency regulation

• Published in: Frontiers in energy research Vol. 10
• Main Authors: Yu, Yi, Zhao, Hongsheng, Zeng, Yang, Chen, Feng, Yang, Dongjun, Wang, Bo, Xu, Qiushi, Li, Binxian
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 16.01.2023
• Subjects: deep peak regulation; frequency dynamics response; multi-objective optimization model; renewable energy accommodation capacity; “source-network-storage” interaction
• ISSN: 2296-598X; 2296-598X
• DOI: 10.3389/fenrg.2022.1067884

With the fast growth of renewable energy, the modern power systems are transitioning to the renewable energy dominated energy systems. However, the intrinsic intermittence and volatility of renewable energy also impose considerable challenges on the power system operation. Hence, it is of great significance to accurately evaluate the renewable energy accommodation capacity (REAC) in power system so as to effectively instruct the sustainable development of renewable energy and to alleviate the ongoing operational burdens. This paper proposes a novel evaluation method of REAC in power system comprehensively considering peak and frequency regulation. First, the mechanism and cost of deep peak regulation of thermal power units are deeply analyzed, and then the frequency dynamics response is modeled explicitly and simplified effectively. Next, a synthetic interaction model of “source-network-storage” is developed with diversified generation units, network and energy storage constraints. Furthermore, a multi-objective optimization model is established considering both economic and technical issues, and a REAC evaluation method is developed by integrating an incremental capacity augment approach with the proposed multi-objective model. Finally, the proposed REAC evaluation method is tested on the modified IEEE 39-bus system, and the numerical results verify the effectiveness of the proposed method.