Cloud-based Modified Residential Energy Management Algorithm in Smart Grid Network

In Smart grid, it enables two-way communication between the consumers and utilities by using the smart meters, where energy management becomes possible for both sides. Smart meters provide time-related consumption information which is used in Time Of Use (TOU) pricing to enable flexible billing. According to TOU, rates differ in peak, moderate peak and off peak hours. Druing peak hours, consumers are charged more because utilities bring peak plants online which will use more expensive resources. Hence consumers are encouraged to shift their demands to off peak hours to decrease their energy bills and carbon dioxide (CO2) emission. Based on the traditional residential energy management (REM) scheme, shifted demands always stay in the nearest off peak hours, which will increase the network load due to the rapidly increasing demands and may cause the new peak period. In this paper, we proposed a modified residential energy management algorithm to solve above mentioned problem. Otherwise we tried to put this algorithm into the security and mature cloud-based enviroment to improve the large datas processing capacity and conpared with diffenrent residential energy management architectures. Finally we use MATLAB to simulate it, the result demonstrated our algorithm is efficient to reduce consumers’ bills and prevent network load increase.