Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings

2017 ◽  
Vol 199 ◽  
pp. 234-246 ◽  
Author(s):  
Wei Gu ◽  
Jun Wang ◽  
Shuai Lu ◽  
Zhao Luo ◽  
Chenyu Wu
Keyword(s):  
Thermal Inertia ◽  
District Heating ◽  
Energy System ◽  
Optimal Operation ◽  
Integrated Energy System

State estimation models of district heating networks for integrated energy system considering incomplete measurements

2021 ◽  
Vol 282 ◽  
pp. 116105
Author(s):  
Suhan Zhang ◽  
Wei Gu ◽  
Haifeng Qiu ◽  
Shuai Yao ◽  
Guangsheng Pan ◽  
...  
Keyword(s):  
State Estimation ◽  
District Heating ◽  
Energy System ◽  
Integrated Energy System ◽  
Heating Networks ◽  
Estimation Models

A multi-time-space scale optimal operation strategy for a distributed integrated energy system

2021 ◽  
Vol 289 ◽  
pp. 116698
Author(s):  
Peng Li ◽  
Zixuan Wang ◽  
Jiahao Wang ◽  
Tianyu Guo ◽  
Yunxing Yin
Keyword(s):  
Energy System ◽  
Optimal Operation ◽  
Operation Strategy ◽  
Space Scale ◽  
Time Space ◽  
Integrated Energy System

scholarly journals Research on Operation Optimization Strategy of Integrated Energy System Considering Ground Source Heat Pump

2020 ◽  
Vol 165 ◽  
pp. 01013
Author(s):  
Linfeng Wang ◽  
Kai Zhang ◽  
Nan Xu ◽  
Jingyan Wang ◽  
Danyang Zhang ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy System ◽  
Heat Pumps ◽  
Optimal Operation ◽  
Energy Prices ◽  
Operation Strategy ◽  
Ground Source Heat Pumps ◽  
Operation Optimization ◽  
Ground Source ◽  
Integrated Energy System

With the depletion of fossil energy and the popularity of renewable energy, a comprehensive energy system with the goal of improving system energy efficiency and consuming renewable energy is booming. Based on the combined heat, power, and heat generation, this paper builds a comprehensive energy system operation optimization model in conjunction with ground source heat pumps. It aims to find the optimal operation strategy based on the actual situation of the park’s load, equipment capacity, and energy prices. Using the linear programming method, a mathematical model with the best economic efficiency of the integrated energy system is established, the optimal operation strategy for a typical day is analyzed, and the annual operation is simulated. Finally, it compares with conventional energy supply methods and analyzes the contribution to the consumption of renewable energy.

scholarly journals Optimal operation of biomass integrated energy system in villages and towns

2020 ◽  
Vol 1639 ◽  
pp. 012061
Author(s):  
Shouqiang Li ◽  
Wenxia Liu ◽  
Jing Wang ◽  
Zongqi Liu
Keyword(s):  
Energy System ◽  
Optimal Operation ◽  
Integrated Energy System

scholarly journals Multi-Time Scale Economic Optimization Dispatch of the Park Integrated Energy System

2021 ◽  
Vol 9 ◽  
Author(s):  
Peng Li ◽  
Fan Zhang ◽  
Xiyuan Ma ◽  
Senjing Yao ◽  
Zhuolin Zhong ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Time Scales ◽  
Time Scale ◽  
Energy Systems ◽  
Energy System ◽  
Optimal Operation ◽  
Utilization Efficiency ◽  
Integrated Energy System ◽  
Operation Cost ◽  
Different Time Scales

The park integrated energy system (PIES) plays an important role in realizing sustainable energy development and carbon neutral. Furthermore, its optimization dispatch can improve the energy utilization efficiency and reduce energy systems operation cost. However, the randomness and volatility of renewable energy and the instability of load all bring challenges to its optimal operation. An optimal dispatch framework of PIES is proposed, which constructs the operation models under three different time scales, including day-ahead, intra-day and real-time. Demand response is also divided into three levels considering its response characteristics and cost composition under different time scales. The example analysis shows that the multi-time scale optimization dispatch model can not only meet the supply and demand balance of PIES, diminish the fluctuation of renewable energy and flatten load curves, but also reduce the operation cost and improve the reliability of energy systems.

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