Power quality fuzzy evaluation method processed through improved empowerment algorithm
A technology for power quality and fuzzy evaluation, applied in data processing applications, calculations, complex mathematical operations, etc., can solve problems such as simplification of models and insufficient objective and perfect means of empowerment
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[0029] The flow chart of the power quality fuzzy evaluation method for comprehensive index processing through the improved radar chart method is as follows figure 1 shown.
[0030] 1. The primary goal of evaluating power quality indicators is to select appropriate indicators. Before selecting appropriate indicators, each indicator needs to be normalized.
[0031] Normalization of various indicators:
[0032] (1) Frequency deviation
[0033]
[0034] f z is the real-time frequency value, f N is the rated frequency value, K f Normalized value for the frequency deviation.
[0035] (2) Voltage deviation
[0036]
[0037] u z is the real-time voltage value, u N is the rated voltage value, U q is the allowable limit of the national standard for voltage deviation, K u is the normalized value of the voltage deviation.
[0038] (3) Voltage fluctuation and flicker
[0039]
[0040] pst z is the real-time flicker value, pst q is the permissible limit value of the n...
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