Research on the control strategy of energy management system for low capability microgrid

Author(s):  
Ren BiYing ◽  
Tong XiangQian ◽  
Sun XiangDong ◽  
Zhang Qi
2020 ◽  
Vol 24 (5 Part B) ◽  
pp. 3157-3166
Author(s):  
Shengtao Xiong ◽  
Zhenxing Liu ◽  
Qunqiao Li ◽  
Yuan Chen ◽  
Xiaoyan Cai ◽  
...  

To explore the performance of the ground source thermal energy management system under the cold and heat sources, based on the cold and heat auxiliary technology, a ground source thermal energy composite management system is constructed and simulated. The constructed ground source heat pump-refrigeration unit-hybrid heating management system of urban heating networks, as well as the simple system, are analyzed and investigated in terms of power consumption and underground temperature control. The research results show that the constructed ground source heat pump-refrigeration unit-hybrid heating management system of the urban heating network has lower power and energy consumption than a simple system during the same period, which meets the economic requirements and guarantees the system with relatively low energy consumption. For underground temperature control, the constructed system is more stable than a simple system without excessive temperature fluctuations. The operation control strategy of the constructed system is mainly for chiller units, heat pump units, cooling towers, source side, and side circulation water pump modules. In summary, the constructed ground source heat pump-refrigeration unit-hybrid heating management system of an urban heating network based on the ground source heat pump meets the requirements for energy consumption and temperature control and can operate the control strategy normally. The results are significant for subsequent researches on the ground source thermal energy management system based on cold and heat auxiliary technology.


2020 ◽  
Vol 24 (5 Part B) ◽  
pp. 3337-3345
Author(s):  
Zhinong Liao

Objective: Through the analysis and application of building heating and thermal energy management system, this paper proposes a new thermal energy control strategy to improve the automation level of building heating optimization. Method: This study analyzes the principle of indoor heat balance in buildings. Aiming at the different heating needs of different buildings, a new control strategy is proposed by combining neural network models and fuzzy control theory. Finally, this strategy is applied to the actual building heating, and the practical application value of the strategy proposed by this study is verified through experiments. Result: In the heating stage, after applying the control strategy, the maximum relative error of the temperature is 0.047, and the average error is 0.013. In the antifreeze stage, the maximum error is 0.143 and the average error is 0.09. After the implementation of the control strategy, the temperature fluctuations in the room change little and remain almost between 19 ?C and 21 ?C. Buildings consume less heat with the highest energy saving rate of 14.37% and the average energy saving rate of 9.23%. Conclusion: The control strategy proposed in this study can adjust the indoor temperature according to the actual situation and achieve the purpose of reasonable heat use. Moreover, it has certain energy-saving effects and can be applied to building heating.


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