As distribution flexible AC transmission system (DFACTS) technology is an economic and effective means to improve the power quality, the applied DFACTS devices are increasing. Therefore, the interactions among the DFACTS controllers should be considered. The paper establishes the linearized model of a single-load infinite-bus distribution system installed with a distribution static var compensator (DSVC) and a distribution static synchronous compensator (DSTATCOM), and the system transfer function can be obtained based on this model. Then, uses the relative gain matrix (RGA) method to analyze the interactions under different electrical parameters, drawing a conclusion that the interactions w ill be weakened when the electrical distances are increased and vice versa. The simulation results verify the effectiveness of the proposed model and the RGA method.
As a method in the evaluation of smart grid, anti-Shannon-entropy weight can compute index weight which is in even distribution or normal distribution, and a reasonable evaluation result can be obtained, but it is not fit for the weight computation when the index includes a distinctive event in non-unique small probability through the research. For the above problem, a novel index weight algorithmanti-nonextension-entropy weight algorithm is proposed and applied to evaluating microgrid. After constructing the typical microgrid evaluation indexes, some microgrids whose indexes include a distinctive event in non-unique small probability is taken as the research objects to find the difference of two evaluation methods based on the different anti-entropy weight algorithm, and the evaluation testing of microgrid is also performed using two methods. Theoretical analysis and simulation results show that in comparison with the traditional evaluation method the novel evaluation method can not only inherit the merits of the traditional evaluation method but also obtain the reasonable weight of index including a distinctive event in non-unique small probability, which improves the precision of microgrid evaluation.
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