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.


There exists agrowing concern about energy utilization nowadays, which is prominent to aset-upthat supports Real-Time (RT) control and monitoring with a 2-way message between the services and clients. The Cloud-based Smart Grid Architecture (C-SGA) is the technological innovation that came up to meet these requirements and developproductivity, trustworthiness, finances, and sustainability of energy services. To manage communications to millions of endpoints and to process the data received from several front-end smart,intelligent components, Cloud Computing (CC) serves as a better technology for providing the necessary computational resources on demand for large scale Smart Grid (SG) applications. The factorslow-cost assistance, the flexible, redundant, and fast, responsive architecture of CC are the primary goals of energy conservation and demand response achieved in SGs for efficient, secure, and scalable electricity services.


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