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In the paper, a city educational resources assignment problem (CERAP) is raised. The combination of big data, multi-agent model and cellular automata (CA) methodologies are argued and developed. Then, the agent-based computational framework is discussed to the educational social science control (assignment) system. The proposed methodologies provides a powerful way to address nonlinearities, humanities,...
In interconnected power systems, dynamic model reduction can be applied to generators outside the area of interest (i.e., study area) to reduce the computational cost associated with transient stability studies. This paper presents a method of deriving the reduced dynamic model of the external area based on dynamic response measurements. The method consists of three steps, namely dynamic-feature extraction,...
With the rapid development of computer technology, programming methods have changed a lot. Nowadays, software developing based on SOA (Service Oriented Architecture) is more and more popular due to its autonomous, distributed and reusable. And at the same time, user requirements are also changing, they are anxious for the information they want from the vast data, regardless of the time and space....
Accuracy of a power system dynamic model is essential to the secure and efficient operation of the system. Lower confidence on model accuracy usually leads to conservative operation and lowers asset usage. To improve model accuracy, identification algorithms have been developed to calibrate parameters of individual components using measurement data from staged tests. To facilitate online dynamic studies...
Accurate representation of wind power plants (WPP) in both offline and online power system stability studies has gained importance because of the rapid increase in installation of wind generation around the world. However, because increases in accuracy reduce computational efficiency, reduced WPP representation is preferred. To improve accuracy of the reduced WPP model, other authors have proposed...
This paper proposes a probabilistic collocation method (PCM) to quantify the uncertainties in state estimation. Comparing to classic Monte-Carlo (MC) method, the proposed PCM is based on sparse grid points and uses a smaller number of sparse grid points to quantify the uncertainty. Thus, the proposed PCM can quantify a large number of uncertain power system variables with relatively lower computational...
This paper discusses theoretical basis and realizing methods of knowledge domain visualization(KDViz). Visualization of knowledge domain is a kind of technology to extract structural patterns from scientific literatures and express them in 2D or 3D knowledge space, namely, the visualization on intellectual structure of some knowledge domain. This paper not only systematically introduces the concept...
Today, the embedded systems field is growing rapidly, ranging from low-end systems such as cellular phones, PDAs, smart cards to high-end systems such as gateways, firewalls, storage servers, and web server. Security of embedded system becomes a paramount issue in embedded system design. Compared to an embedded system's functionality and other design metric (e.g., area, performance, power), security...
Role based trust management uses distributed role hierarchies (DRH) to provide flexible and scalable authorization in multi-domain environments, but DRH are inherently transitive and may easily lead to unexpected or even illegal authorization. In this paper, we propose TS-DRH, a generalized extension of DRH based on a novel trust scope model of distributed roles. TS-DRH introduces the notion of scoped...
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