Abstract
In order to evaluate safety of the Microgrid(MG) after distributed energy resources and different types of loads accessed in or disconnected, chaotic time series and RBF neural network are essential and beneficial tools. In this paper, Voltage Security Assessment Index(VSAI) is established to assess whether the MG is able to achieve equilibrium state for voltage. The application of Solar Photo Voltaic(SPV) or Wind Turbine(WT) generation alone is tested in the process of the phase space reconstruction and compared to the consorted hybrid example. Chaos algorithm can be used to define and optimal the RBF center and the connection weights of output layer, which can further improve the convergence speed of RBF neural network. Comparing the result of output between actual and prediction in three different conditions, if the difference of their values is above or below a certain threshold, the safety of MG will be judged unsafe. Test is conducted on an autonomous MG bus feeder to verify the usefulness of the posed system. The research conclusion shows that chaotic time series and RBF neural network is effective and feasible for the safety evaluation of MG.
Highlights
A microgrid is a small-scale power grid that can be operated independently or in combination with the main electrical grid
MG will disconnect from main grid and switch to islanded mode, otherwise it may operate in gridconnected mode
Many studies and papers have been published to discuss the impact of microgrid on safety of distribution network, few publications handle the safety of interior microgrid, especially in aspect of voltage
Summary
A microgrid is a small-scale power grid that can be operated independently or in combination with the main electrical grid. Considering randomness of renewable energy sources, the safety of MG with island operation capability faces many challenges such as voltage flicker, fluctuation and dip which should be solved [3]. Paper[4] proposes a approach based on fault tree analysis(FAT) to evaluate the safety of islanded microgrid with the specific operation time, but the approach may be not applicable in common situation. Combination of safety engineering, factor analysis and neural network in Paper [6] to evaluate whether the system is safety, this new security assessment way only for transmission grid system and it can not handle the safety of the MG with DGs and different loads.
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