System Design and Analysis for Maximum Consuming Power Control in Smart House
Saher Umer, Mineo Kaneko, Yasuo Tan, and Azman Osman Lim
Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan
Abstract—The efficiency, reliability, and stability of the smart house is expected to be significantly improved via home energy management system (HEMS), and smart meter (SM) is the most essential part of the energy system used to connect individual home appliance to the energy management system. As more and more home appliances and consumer electronics are deployed, the power consumption in smart house (1) tends to grow and (2) leads an increase in the risk of power blackout. In this paper, we propose a system design for controlling maximum consuming power and preventing home blackout. Proposed system consists of SM and home appliances, and we assume that SM will provide access to the power generated and consumed of the appliance, but with a time delay. Then, we analyze the resulting design to illustrate the impact of SM, for two important properties of the smart house, preventing power blackout and maintaining power system stability. We also present the simulation results which show the appliance power consumption behavior when the available power is limited. Simulation results also help us in applying stability test with stable/unstable and overshoot/non-overshoot regions.
Index Terms—home energy management system, smart meter, power supply, power demand, power system stability
Cite: Saher Umer, Mineo Kaneko, Yasuo Tan, and Azman Osman Lim, "System Design and Analysis for Maximum Consuming Power Control in Smart House," Jounal of Automation and Control Engineering, Vol. 2, No. 1, pp. 43-48, March, 2014. doi: 10.12720/joace.2.1.43-48
Index Terms—home energy management system, smart meter, power supply, power demand, power system stability
Cite: Saher Umer, Mineo Kaneko, Yasuo Tan, and Azman Osman Lim, "System Design and Analysis for Maximum Consuming Power Control in Smart House," Jounal of Automation and Control Engineering, Vol. 2, No. 1, pp. 43-48, March, 2014. doi: 10.12720/joace.2.1.43-48