Day Ahead Unit Commitment of Integrated Gas and Electric System Considering Pipeline Climbing

• Published in: 2022 IEEE 5th International Electrical and Energy Conference (CIEEC) pp. 2940 - 2945
• Main Authors: Wang, Qiao, Wang, Shengshi, Zuo, Lianyong, Liu, Jingguan, Fang, Jiakun, Wen, Jinyu, Duan, Xitong, Wang, Jian, Liu, Qicong, Cui, Chaochao
• Format: Conference Proceeding
• Language: English
• Published: IEEE 27.05.2022
• Subjects: Adaptation models; C&CG algorithm; Hydrodynamics; integrated natural gas and electrical system (IGES); pipeline climbing; Pipelines; Power system dynamics; Predictive models; robust optimization; Uncertainty; Wind power generation
• DOI: 10.1109/CIEEC54735.2022.9846291

In this paper, a natural gas dynamic model considering pipeline climbing is proposed and the compressor model is accurately modeled. At the same time, to cope with the uncertainty caused by large-scale wind power integration, the robust optimization model of the integrated gas and electric system (IGES) is proposed and the optimal start-up strategy in the forecasting scenario of wind power can be determined. And the results of the day-ahead unit commitment determined by proposed model can be adapted to all scenarios considering the uncertainty of wind power owing to the introduction of feasibility max-min sub-problem, which is solved iteratively with the main problem by dual transformation methodology and C&CG algorithm. Finally, the test results of a 39-node power system and a 27-node natural gas system validate the effectiveness of the proposed model, which can help improve the flexibility of the integrated system and promote the accommodation of wind power.