Day-Ahead and Intraday Two-Stage Optimal Dispatch Considering Joint Peak Shaving of Carbon Capture Power Plants and Virtual Energy Storage

Yichao Zou, Zhenda Hu, Shengcun Zhou (), Yi Luo, Xinyi Han and Yi Xiong
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Yichao Zou: State Grid Fujian Economics and Technology Research Institute, Fuzhou 350000, China
Zhenda Hu: State Grid Fujian Economics and Technology Research Institute, Fuzhou 350000, China
Shengcun Zhou: School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Yi Luo: School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Xinyi Han: School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Yi Xiong: School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Sustainability, 2024, vol. 16, issue 7, 1-19

Abstract: The anti-peaking characteristics of a high proportion of new energy sources intensify the peak shaving pressure on systems. Carbon capture power plants, as low-carbon and flexible resources, could be beneficial in peak shaving applications. This paper explores the role of carbon capture devices in terms of peak shaving, valley filling, and adjustment flexibility and constructs a virtual energy storage model utilizing various flexible loads on the demand side. Also, it proposes a joint peak shaving strategy involving carbon capture devices and virtual energy storage. Considering the predictive error characteristics of wind power and load across different time scales, this study establishes a day-ahead and intraday two-stage rolling regulation peaking model based on carbon capture power plants and virtual energy storage to fully leverage the diverse response speeds and peak shaving capabilities of various types of flexible loads. Initially, the model calculates the net load curve after implementing a demand response system, aiming to minimize the load peak–valley difference. Subsequently, within the intraday period, it seeks to minimize system operating costs by precisely allocating peak shaving resources as per demand, thus aiming for economic efficiency while ensuring the system’s peak shaving capability.

Keywords: carbon capture power plant; virtual energy storage; joint peak shaving; two-stage optimized scheduling; low carbon (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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