Open AccessCapacity expansion planning of integrated energy system based on multi-energy coupling
Author(s) -
Yongli Wang,
Danyang Zhang,
Siyi Tao,
Yuze Ma,
Guoliang Zhu,
Shanshan Wei
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1920/1/012030
Subject(s) - correctness , mathematical optimization , economic shortage , computer science , wind power , integer programming , energy (signal processing) , linear programming , plan (archaeology) , coupling (piping) , power (physics) , operations research , reliability engineering , engineering , mathematics , algorithm , mechanical engineering , linguistics , philosophy , statistics , physics , archaeology , quantum mechanics , government (linguistics) , electrical engineering , history
This paper proposes a comprehensive energy expansion planning method based on multi-energy coupling, and establishes a mixed integer linear programming model with the goal of minimizing the sum of investment, operation, power shortage, and wind curtailment costs. The model can be used on the basis of ensuring computational efficiency. In the above, the uncertainty of wind power is accurately explored, and a two-stage planning and solving strategy based on the scenario method is established to ensure the efficiency and feasibility of the model solution. GAMS is used to optimize the calculation of the IEEE14-NGS14 example system, and the result of the optimal expansion plan proves the correctness and effectiveness of the method proposed in this paper.