Open AccessIntegrated Energy System Planning Based on Equipment Performance
Author(s) -
Yang Yang,
Mengju Wei,
Zhao Liu,
Yongli Wang,
Chengcong Cai,
Minhan Zhou,
Fuhao Song
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/565/1/012008
Subject(s) - flexibility (engineering) , integer programming , selection (genetic algorithm) , energy (signal processing) , computer science , linear programming , integrated business planning , mathematical optimization , capacity planning , energy planning , integer (computer science) , energy system , operations research , industrial engineering , systems engineering , engineering , algorithm , mathematics , artificial intelligence , statistics , management , renewable energy , electrical engineering , economics , programming language , operating system
The Integrated Energy System (IES) has the advantage of improving energy utilization and promoting energy flexibility. Its equipment configuration is one of the keys to Integrated Energy System planning. This paper takes equipment selection and capacity planning as the goal establishes the IES equipment selection and capacity planning model makes the minimum annual inclusive cost as the optimization goal and uses the mixed-integer linear programming algorithm to solve the practical problem. Finally, a typical southern park is taken as an example to analyze and verify the feasibility of the model and algorithm.