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Research on Optimal Scheduling of Integrated Energy Systems with Wind-Photovoltaic-Biogas-Storage Considering Carbon Capture Systems and Power-to-Gas Coordination
1 Economic and Technological Research Institute, State Grid Inner Mongolia Eastern Electric Power Co., Ltd., Hohhot, 010020, China
2 Inner Mongolia Hengsheng New Energy Technology Co., Ltd., Baotou, 014030, China
* Corresponding Author: Jianfeng Liu. Email:
Energy Engineering 2025, 122(8), 3155-3176. https://doi.org/10.32604/ee.2025.065753
Received 21 March 2025; Accepted 16 May 2025; Issue published 24 July 2025
Abstract
In order to promote the utilization level of new energy resources for local and efficient consumption, this paper introduces the biogas (BG) fermentation technology into the integrated energy system (IES). This initiative is to study the collaborative and optimal scheduling of IES with wind power (WP), photovoltaic (PV), and BG, while integrating carbon capture system (CCS) and power-to-gas (P2G) system. Firstly, the framework of collaborative operation of IES for BG-CCS-P2G is constructed. Secondly, the flexible scheduling resources of the source and load sides are fully exploited, and the collaborative operation mode of CCS-P2G is proposed to establish a model of IES with WP, PV, and BG multi-energy flow coupling. Then, with the objective of minimizing the intra-day operating cost and the constraints of system energy balance and equipment operating limits, the IES with WP, PV, and BG collaborative optimal scheduling model is established. Finally, taking into account the uncertainty of the output of WP and PV generation, the proposed optimal scheduling model is solved by CPLEX, and its validity is verified by setting several scenarios. The results show that the proposed collaborative operation mode and optimal scheduling model can realize the efficient, low-carbon, and economic operation of the IES with WP, PV, and BG and significantly enhance the utilization of new energy for local consumption.Keywords
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Copyright © 2025 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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