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This paper proposes an online clustering modeling method for photovoltaic (PV) power plant considering low voltage ride-through (LVRT) control. The proposed method takes the distance of the unit impulse response curves of the inverter controllers as the clustering index to build the clustering models of the inverter controllers. After all LVRT controllers are simplified and described by an equivalent...
Insulation parts exist in dc wall bushing. During normal operation, insulation parts through the constant current conduction cannot as ideal insulator, so can't simply calculate the electric field in electrostatic field theory, otherwise cause calculation error, and even made bushing structure design errors. In order to study the ac and dc field different influence on bushing electric field. The calculation...
Caching is a core problem in Information Centric Networks (ICN) which can be considered as a network of caches. The design of effective caching algorithms involves a broad range of interrelated problems such as how to accurate predict the requests, and how to optimize cache replacement. In this paper, we develop a lightweight caching management algorithm motivated to maximize the traffic volume served...
The most important challenge of the spectrum sensing in cognitive radio (CR) is to find a way to share the licensed spectrum without interfering with the licensed user transmission. Predicting the near future of the licensed or primary user (PU) channel state can solve this problem. Many studies have investigated the primary user channel state prediction in recent literature, in this study we introduce...
Predicting the licensed or primary user (PU) channel state future has been widely investigated in the recent literature, this study introduce a new approach for predicting PU channel state based on time series and hidden Markov model (HMM). In this new approach we model the primary user channel state detection sequence, which can be represented by; PU channel “idle” or “occupied” as a time series...
Reactive power optimization of power system is a dispersed, many variables, many restraint and non-linearly combination optimization problem, so it is very difficult to find optimum solving in theory. This paper combines Multi-Agent theory with the CGS-MSM PGA together, and make a certain improvement to heredity operate, set up a kind of improvement CGS-MSM PGA based on Multi-Agent, this algorithm...
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