Integrated energy system planning with distributed generation based on emergy theory

2019 ◽  
Author(s):  
Yunfan Shao ◽  
Xun Dou ◽  
Jun Wang ◽  
Yi Song ◽  
Kai Yuan ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Energy System ◽  
System Planning ◽  
Integrated Energy System ◽  
Emergy Theory ◽  
Energy System Planning

Regional Integrated Energy System Planning Based on Robust Chance Constraints

2021 ◽  
Author(s):  
Chenxu Yin ◽  
Liuzhu Zhu ◽  
Hong Liu ◽  
Bin Ye ◽  
Li Zhang ◽  
...  
Keyword(s):  
Energy System ◽  
Chance Constraints ◽  
System Planning ◽  
Integrated Energy System ◽  
Energy System Planning

scholarly journals Integrated energy system planning method considering electric-heat-gas coupling

2020 ◽  
Vol 565 ◽  
pp. 012022
Author(s):  
Nan Wang ◽  
Zhen Li ◽  
Pengxiang Zhao ◽  
Na Li ◽  
Yongli Wang ◽  
...  
Keyword(s):  
Energy System ◽  
Planning Method ◽  
System Planning ◽  
Integrated Energy System ◽  
Electric Heat ◽  
Energy System Planning

scholarly journals Research on multi-objective planning and optimization of integrated energy system based on economy and environmental protection

2021 ◽  
Vol 245 ◽  
pp. 01039
Author(s):  
Xiaohui Wang ◽  
Lu Xue ◽  
Yongli Wang ◽  
Yuli Zhang ◽  
Yijiang Liu
Keyword(s):  
Environmental Protection ◽  
Energy System ◽  
Energy Utilization ◽  
Particle Swarm Algorithm ◽  
Renewable Energy Consumption ◽  
System Planning ◽  
Multi Objective ◽  
Planning Optimization ◽  
Integrated Energy System ◽  
Energy System Planning

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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