LOW CARBON CONTROL OF HEAT SOURCE EQUIPMENT USING MODEL PREDICTIVE CONTROL BASED ON DYNAMIC CO2 EMISSION FACTOR

2020 ◽  
Vol 85 (777) ◽  
pp. 827-835
Author(s):  
Shohei MIYATA ◽  
Yasuhiro KUWAHARA ◽  
Jongyeon LIM ◽  
Yasunori AKASHI ◽  
Naoki YOSHIMOTO
2018 ◽  
Vol 232 ◽  
pp. 01058
Author(s):  
Zihan Zhang ◽  
Jie Zhang ◽  
Wenfang DING ◽  
Rui Peng ◽  
Cheng Xu

Because of the energy crisis caused by the shortage of fossil energy, countries begin to study low-carbon new energy and micro-grid systems related to new energy, and more importantly the energy dispatching of micro-grid is the focus of the whole micro-grid system. The application of model predictive control to the energy dispatching of microgrid has become one of the mainstreams, but the prediction error will affect the power balance of the actual system. Aiming at the above problems, the improved MPC strategy which deals with prediction error by adding power compensation is put forward. Through real-time monitoring of photovoltaic, fan and load power, the difference between the real value and the predicted value is compared. And in the MPC rolling optimization stage, the power difference compensation is given to the power interaction of the distribution network to eliminate the influence of prediction error. The simulation results show that the total cost of the improved MPC strategy is 22.69% lower than that of the traditional MPC strategy.


2011 ◽  
Vol 131 (7) ◽  
pp. 536-541 ◽  
Author(s):  
Tarek Hassan Mohamed ◽  
Abdel-Moamen Mohammed Abdel-Rahim ◽  
Ahmed Abd-Eltawwab Hassan ◽  
Takashi Hiyama

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