Open AccessResearch on System Optimization of Integrated Energy Park Based on Time-sharing Electricity Supply
Author(s) -
Chunyan Ma,
Qinglin Duan,
Guanglin Sha,
Chen Zhao,
Gao Jian
Publication year - 2021
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 - 10.1088/1755-1315/804/4/042012
Subject(s) - energy (signal processing) , particle swarm optimization , electricity , energy supply , complementarity (molecular biology) , computer science , electric potential energy , engineering , electrical engineering , statistics , mathematics , machine learning , biology , genetics
Integrated energy system can improve the overall utilization efficiency of energy, and its advantages are remarkable. The integrated energy system covers various types of energy, such as electric energy, natural gas, and so on,which can realize the integration and complementarity of various energy sources in the park, which can improve the comprehensive utilization efficiency of the park system as a whole and reduce the cost of comprehensive energy use. In this paper, a multi-energy coupling energy system is constructed based on a typical park integrated energy system. By modelling the typical equipment in the system and using the time of using supply as the guiding strategy, the particle swarm optimization algorithm is used to optimize the typical days of the park, and the optimal operation strategy of the equipment in the system is obtained, which can significantly alleviate the peak and valley phenomenon between the system and the superior network.