Robust optimal dispatching of integrated electricity and gas system considering refined power-to-gas model under the dual carbon target

• Published in: Journal of cleaner production 2022-10, Vol.371, p.133451, Article 133451
• Main Authors: Qin, Guangyu, Yan, Qingyou, Kammen, Daniel M., Shi, Chaofan, Xu, Chuanbo
• Format: Article
• Language: English
• Subjects: Integrated electricity and gas system; Refined power-to-gas model; Two-stage robust optimization; Uncertain adjustment parameters
• ISSN: 0959-6526; 1879-1786
• DOI: 10.1016/j.jclepro.2022.133451

With the advancement of China's energy revolution and the proposal of carbon neutrality, an integrated electricity and gas system (IEGS) characterized by regional energy interconnection and interaction has developed rapidly. IEGS integrates renewable energy such as wind energy and solar energy, improves the comprehensive utilization rate of regional energy, and reduces pollution and greenhouse gas emissions. Considering the consumption problem caused by uncertainty in wind power and photovoltaics, firstly, adding Power-to-Gas(P2G) equipment in IEGS to build a refined model of P2G operation, secondly, the two-stage robust optimization model of min-max-min structure is established. The improved genetic algorithm is used to solve the scheduling scheme with the lowest operation cost in the worst scenario, and the uncertain adjustment parameters are introduced to realize the flexible adjustment of the conservatism of the scheduling scheme. Through the simulation analysis of the difference of system operating cost under different scenarios and adjustment parameters, the validity of the established model and solution algorithm is verified. The results show that the final cost of robust optimization is lower than that of deterministic optimization, and choosing to add P2G equipment can reduce the cost by 6.19% and 5.96% in winter and summer respectively.