Search

Your search keyword '"Gooi, Hoay Beng"' showing total 34 results
Start Over Author "Gooi, Hoay Beng" Publication Type Conference Materials
34 results on '"Gooi, Hoay Beng"'

30. Uncertainty aware minority game based energy management system for smart buildings.

Author

Xingyu Cai, Zhang, Chun, Yu, Hao, Bhar, Radhika, and Gooi, Hoay Beng

Abstract

For the sake of accurate energy resource allocation in smart buildings with hybrid solar energy and main electrical grid, an uncertainty-aware minority-game based energy management system (UAMG-EMS) is introduced in this paper. Multiple agents are deployed in the building, and are able to consider two types of uncertainties: (i) stochastic noise from energy meters/sensors; and (ii) uncertain working behaviors from load side. Firstly, agents can perform Kalman Filter based error-correction algorithm to reduce the stochastic noise coming from energy meters/sensors. Moreover, agents can have supervised learning to predict uncertain energy profiles. Afterwards, agents can play a modified minority game based energy management to allocate the limited solar energy resource. To extend the scalability of agents for the entire building, K-means based classifier is applied to characterize the types of agents and hence can reduce the number of agents for large-scale buildings. Compared with the conventional minority-game based energy management system (MG-EMS) without considering uncertainty, our UAMG-EMS shows about 37% reduction of unbalance in fair solar energy allocation, and also about 23% reduction of noise influence merely based on inaccurate energy meters/sensors. [ABSTRACT FROM PUBLISHER]

Published
2012
Full Text
View/download PDF

31. A real-time cyber-physical energy management system for smart houses.

Author

Wu, Wei, Aziz, Muhammad Khalid, Huang, Hantao, Yu, Hao, and Gooi, Hoay Beng

Abstract

The substitution of non-renewable energy by renewable energy as electricity supply is an emerging trend for development of smart houses nowadays. For example, solar photovoltaic (PV) panels, rechargeable batteries, external power supply, and power-consuming houses have formed a distributed micro-smart-grid. The traditional energy management system (EMS) for such a micro-smart-grid is, however, based on static demand model. As such, the resource (solar energy) cannot be optimally allocated to each house with real-time adjustment when the battery profile is different. In order to achieve high utilization rate of solar-energy, we propose a cyber-physical controller for real-time EMS of smart houses in this paper. Based on physically sensed battery profile, one cyber-physical controller enables the resource to be shared between different houses. The micro-smart-grid is modeled by decentralized multi-supplier and multi-customer system. The proposed real-time EMS is formulated based on the modified minority-game (MG) algorithm such that the task (or EU load) can be allocated with balanced distribution and hence improved utilization rate. The experiment results show that the proposed EMS can increase the solar energy utilization rate by 12.78% on average (up to 20%) when compared to the traditional design under the static demand model. Moreover, the load balancing of tasks (or customers) on each battery (or supplier) is significantly improved. For example, the average standard deviation of the load of tasks on batteries in each month is reduced from 45.36 KWh (static demand model) to 5.19 KWh (proposed model). The improved load balancing can further prolong lifetime of batteries. [ABSTRACT FROM PUBLISHER]

Published
2011
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results