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Improving the accuracy of power system load forecasting is important for economic dispatch. However, a load sequence is highly nonstationary and hence makes accurate forecasting difficult. In this paper, a method based on wavelet decomposition (WD) and a second-order gray neural network combined with an augmented Dickey–Fuller (ADF) test is proposed to improve the accuracy of load forecasting. First,...
The research object refers to micro-grid which contains wind turbine (WT), Photo Voltaic (PV), storage and other micro-sources. Considering system operation modes, network restrictions and construction & operation costs, through coordinated control between battery storage and other micro-sources, the optimal battery capacity configuration scheme is proposed aiming at maximum economic benefits...
A 149 tubes simplified physical model is established by reasonable simplified assumed conditions. The basic differential equations of fluid flow and heat-transfer are obtained on the base of the thermodynamic process of superheater heat transfer. Spatial distribution of thermodynamic parameters under steady-state and dynamic working process is achieved directly by simulating the whole superheater...
The load places a very important role in power system stability. It greatly affects the system stability assessment results of a power system to a large extent. This paper focuses on the realization of aggregate load area model (ALAM) analysis. The ALAM model is based on the output of a power system wide area measurement system (WAMS). The parameter identifiability regarding the ALAM is studied in...
Power systems in many countries are stressed towards their stability limit. If these stable systems experience any unexpected serious contingencies, or disturbances, there is a significant risk of instability, which may lead to wide-spread blackout. Frequency is a reliable indicator for such instability condition exists on the power system; therefore under-frequency load shedding technique is used...
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