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This paper examines operation models of multiple virtual power plants (multiVPPs), aiming at unified management of the multiVPP through VPP central controller, which reveals the controllability of the VPP as source and load in general. Two operation models will be introduced in this paper: 1) VPP dispatch model; and 2) the game theoretic model for multiVPP dispatch. In the VPP dispatch model, considering...
Smart grid is built by the combination of information technology and electric technology based on traditional power grid, and achieves the interaction between power generation and power utilization. However, new security issues appears together with the new cyber-physical power system, and false data injection is one of the attack means, which is impressive for it's difficult from being detected....
Nowadays, even though countries take measures to control the population, it is reported that the total number of global population has reached 7billion. In 21st century, the human society is still faced with the problems about the unprecedented consumption of material wealth and the unprecedented increase in population [1]. So the researchers should study the dynamic changes of resources and population...
Normal moving object detection method, based on single lens data acquisition, has some limits, such as small view field, slow data processing et al. Insect's compound eye has unique advantage on moving object detection. In this paper a moving object detection method with bionic compound eye is proposed, including its imaging principle, especially in ommatidium projected imaging. We also simulate the...
E-commerce is the core content and inevitable trend of the information society. With the rapid growth of e-commerce in recent years, internet fraud and credit risk in e-commerce environment occurs more and more frequently, especially in China. The credit risk has become the critical factor restricting the development of e-commerce. It is of great importance to study the credit risk management of online...
This paper sets up a DSS for faculty management on OA system, which is based on the status of faculty management and the faculty information of universities. The model of faculty total forecast is set up by gray system, and the model of classified forecast is set up by Markov model, and the design method is explained in this paper. This system has a good forecast precision by experience.
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