Overload Control Strategy Based on Triangular Fuzzy Analytic Hierarchy Process

Heng Wang,P Siano,Q Li

doi:10.1051/e3sconf/202125602019

Heng Wang, P Siano + Show 1 more

Open Access

https://doi.org/10.1051/e3sconf/202125602019

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Abstract

After the high-voltage transmission line is cut off due to a fault, the bearing transmission power will be transferred, which may cause overload. If overload cannot be eliminated quickly and scientifically, it is very likely that the line backup protection will be activated, which will trigger chain trip or even blackout accidents. In view of this, this paper proposed a cross-voltage level optimization load shedding control strategy based on fuzzy analytic hierarchy process. Through step-by-step progression in the three indexes of line overload degree, load importance degree, and unit load shedding cost, the lower-level lines of the overload line are selected for optimal line removal, thus achieving the goal of optimizing load shedding across voltage levels.

Highlights

In recent years, most large-scale power outages at home and abroad are caused by fault and other factors
We need to proceed from the overall system, select the appropriate line load for shedding in the downstream of the overload line, that is, in the low-voltage level network, which can effectively solve the overload problem of the upstream line and ensure the normal power supply of important loads to minimize the impact on the system and users
Based on the TFNAHP method, specific steps for re-determining the index weight are as follows: (1) Construct a fuzzy judgment matrix Experts make pairwise comparisons of the importance of indexes at the same level based on the upper-level criteria, and use triangular fuzzy numbers to construct a fuzzy judgment matrix

Summary

Re-determine the index weight based on the TFN-AHP method

The difference between triangular fuzzy number construction matrix and general analytic hierarchy process is that the former has a fuzzy judgment interval for the judgment of each index. Regarding meaning of this interval, there is uncertainty when experts compare the importance of elements in pairs, especially some criteria that require qualitative analysis, so to some extent, it indirectly reflects the uncertainty of the expert's judgment. According to the above method, weight of other indexes below the criterion level is calculated, and the weight of each index relative to the general objective is calculated. Weight of n indexes under the influence of criterion i is w (j=1,2,...,n), the weight of these n indexes relative to the general objective is:

Power flow calculation based on wide area measurement system

Establish a fuzzy analytic hierarchy model

Conclusion