Chuanzhi Zang

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Traditionally, economic dispatch and demand response (DR) are considered separately, or implemented sequentially, which may degrade the energy efficiency of the power grids. One important goal of optimal energy management (OEM) is to maximize the social welfare through the coordination of the suppliers' generations and customers' demands. Thus, it is(More)
Wireless sensor networks have recently gained a lot of attention. Target tracking is a canonical application of wireless sensor networks and task allocation is an unavoidable problem for target tracking. To improve the tracking quality and save more energy, an auction-based dynamic coalition scheme of task allocation for single target tracking in wireless(More)
Due to the variety of applications and their importance, wireless sensor networks (WSNs) would need to be connected to the Internet. Some approaches have been proposed to connect wireless sensor networks to the existing TCP/IP networks, such as the application-level gateways or overlay networks. However, most existing approaches have to consume network(More)
For the energy management problems for demand response in electricity grid, a Metropolis Criterion based fuzzy Q-learning consumer energy management controller (CEMC) is proposed. Because of the uncertainties and highly time-varying, it is not easy to accurately obtain the complete information for the consumer behavior in electricity grid. In this case, the(More)
Department of Mechanical Engineering – Engineering Mechanics, Michigan Technological University, 815 R.L. Smith Building, 1400 Townsend Drive, Houghton, MI 49931, USA Department of Electrical and Computer Engineering, Michigan Technological University, 1400 Townsend Drive, Houghton, MI 49931, USA c Shenyang Institute of Automation, Chinese Academy of(More)
This paper presents an unsupervised structure damage classification algorithm based on the data clustering technique and the artificial immune pattern recognition. The presented method uses time series measurement of a structure’s dynamic response to extract damage-sensitive features for the structure damage classification. The Data Clustering (DC)(More)
When finding the moving target in the acoustic sensor network, a dynamic cluster is formed to triangulate the target's position. While the target is moving, the old cluster is revoked and a new cluster is formed to follow the target. An election strategy based on the probability is used to select the cluster head and thus improve the cluster formation(More)
Classic load model is conservative and inaccurate by only considering constant power load model, but actual situation can be described more precisely by using ZIP load model. The different load rate Based on ZIP load model has a serious impact on static voltage stability. Due to the time-varying load rate, time-sharing modeling, which is identified for(More)