scholarly journals Integrated energy system planning study based on load prediction

2021 ◽  
Vol 245 ◽  
pp. 01057
Author(s):  
Jialin Yang ◽  
Zhen Li ◽  
Nan Wang ◽  
Pengxiang Zhao ◽  
Xichao Zhou ◽  
...  

The planning of integrated energy system is a very complex multi-objective, multi-constraint, nonlinear, random uncertain hybrid combination optimization problem, its planning and design process should consider not only the system capacity, energy exchange, energy storage, energy and other links between the interdependence, but also the interaction and mixing of cold, hot, electricity and other multi-energy flow, which is essentially a non-deterministic polynomial problem. Based on load prediction technology, combined with scene generation, multi-interconnected energy system modeling and other technologies, around the integrated energy system planning and design, consider the comprehensive evaluation of the whole life cycle, an optimal configuration of the integrated energy system is formed.

2021 ◽  
Author(s):  
Chenxu Yin ◽  
Liuzhu Zhu ◽  
Hong Liu ◽  
Bin Ye ◽  
Li Zhang ◽  
...  

Author(s):  
Nan Wang ◽  
Zhen Li ◽  
Pengxiang Zhao ◽  
Na Li ◽  
Yongli Wang ◽  
...  

2021 ◽  
Vol 245 ◽  
pp. 01039
Author(s):  
Xiaohui Wang ◽  
Lu Xue ◽  
Yongli Wang ◽  
Yuli Zhang ◽  
Yijiang Liu

The development of a regional integrated energy system is an important way to improve energy utilization, alleviate the problem of renewable energy consumption and improve the environment. Aiming at the problems of single planning technology and fewer resource types in the existing integrated energy system planning, various types of equipment in the integrated energy system were built, and the integrated energy system was established with the goal of optimal economy and certain environmental protection. The system multi-objective planning optimization model, and then the particle swarm algorithm is used to solve the example problem to verify the feasibility and economy of the model and the optimization algorithm.


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