An Energy Integrated Dispatching Strategy of Multi- energy Based on Energy Internet

2017 2nd International Conference on Environmental Engineering and Sustainable Development

生态环境科学;经济学

Jin, Weixia^1 ; Han, Jun^1

Tianjin University of Technology, No. 391 Binshui Road, Xiqing District, Tianjin, China^1

关键词: Calculation accuracy;    Computational precision;    Convergence speed;    Energy structures;    Fast convergence speed;    Optimization strategy;    Optimizing models;    Renewable energies;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/112/1/012011/pdf
DOI  :  10.1088/1755-1315/112/1/012011

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Energy internet is a new way of energy use. Energy internet achieves energy efficiency and low cost by scheduling a variety of different forms of energy. Particle Swarm Optimization (PSO) is an advanced algorithm with few parameters, high computational precision and fast convergence speed. By improving the parameters ω, c1 and c2, PSO can improve the convergence speed and calculation accuracy. The objective of optimizing model is lowest cost of fuel, which can meet the load of electricity, heat and cold after all the renewable energy is received. Due to the different energy structure and price in different regions, the optimization strategy needs to be determined according to the algorithm and model.