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Energy storage system consists of distributed generation, storage device, loads and some intelligent control devices in the smart grid. It enables energy flow from the storage device to the grid. An amount of balancing energy is procured to meet the load demand when there is a deficit in power generation. The excessive distributed generation power of storage device can either be sold to the grid or...
The optimal energy management problem of smart home is concerned. The objective is to maximize reward of smart home with distributed generation, through choosing a suitable energy management control strategy by stochastic dynamic programming. Firstly, we modeled the smart home energy management system as a semi-Markov decision process according to the stochastic characteristics of solar photovoltaic,...
Optimal charging and scheduling control for electric vehicles (EVs) in stand-alone PV charging stations based on time compensation is analyzed in this paper. In stand-alone PV charging stations, PV array experiences large variations of its output power under intermittent and uncertain weather conditions, a large number of EVs fueled by stand-alone PV charging stations has a great stochastic and flexibility...
Current researches about multi-vehicle cooperation task assignment models, such as capacitated transshipment assignment problem (CTAP) and mixed integer linear programming (MILP), have extreme amounts of computation needed for the dynamic coordination planning of Unmanned Vehicles (UV) team. In this paper, we propose the Action-Seeking Team coordination (ASTC) model with an aim to promote the UV team's...
In view of the blur operation in the image tamper, a blur image blind identify algorithm based on the edge feature was proposed. Firstly, the algorithm made the logarithm operation to the image according to the edge feature of out-of-focus blur and artificial blur, and separated image's the incident component and the reflection component. Then it used homomorphism filter to the wavelet region, and...
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