Double layer home energy supervision strategies based on demand response and plug-in electric vehicle control for flattening power load curves in a smart grid

Energy ◽  
2019 ◽  
Vol 167 ◽  
pp. 312-324 ◽  
Author(s):  
Siwar Khemakhem ◽  
Mouna Rekik ◽  
Lotfi Krichen
Author(s):  
Kamalika Banerjee ◽  
Sawan Sen ◽  
Sandip Chanda ◽  
Samarjit Sengupta

Open Physics ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 1046-1055
Author(s):  
Chengliang Wang ◽  
Minjian Cao ◽  
Raquel Martínez Lucas

Abstract The current game theory model method cannot accurately optimize the load control of smart grid, resulting in the problem of high load energy consumption when the smart grid is running. To address this problem, a load optimal control algorithm for smart grid based on demand response in different scenarios is proposed in this paper. The demand response of smart grid under different scenarios is described. Onthis basis, the load rate and actual load of smart grid are calculated by using the rated load of electrical appliances. The load classification of smart grid and the main factors affecting the load of smart grid are analyzed to complete the load distribution of smart grid. According to the evaluation function of smart grid, the number of load clusters is adjusted to calculate the load change rate. The trend of load curve of smart grid is analyzed to realize optimal load control of smart grid under different scenarios. The experimental results show that the proposed method has better control performance and higher accuracy through load control of smart grid.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 66105-66115 ◽  
Author(s):  
Yuanshuo Zheng ◽  
Jingtang Luo ◽  
Xiaolong Yang ◽  
Yuxuan Yang

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 224224-224234
Author(s):  
Jianping Lin ◽  
Ping Dong ◽  
Mingbo Liu ◽  
Xuewei Huang ◽  
Wenli Deng

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