Decision-making method for multi-objective optimal dispatching of power system based on evidence reasoning
A power system scheduling and multi-objective optimization technology, applied in data processing applications, instruments, forecasting, etc., can solve problems such as complex power system scheduling decision-making, and fill the problems that are difficult to scientifically schedule and operate, have wide application prospects, and have significant engineering practical value. Effect
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[0043] Such as figure 1 As shown, this embodiment takes the IEEE-30 node power system as a simulation object to specifically illustrate the method for decision-making based on evidence-based reasoning for multi-objective optimal scheduling of the power system of the present invention.
[0044] Step (1): The dispatcher determines multiple dispatch targets. In this embodiment, the targets for optimal dispatch are determined as power generation cost, network loss, voltage deviation, pressure stability index, carbon dioxide emissions, and pollutant gas emissions. Denote the scheduling target set as {A 1 ,A 2 ,...,A 6 }.
[0045] The eigenvector method based on analytic hierarchy process is used to select the important target set that has a greater impact on the scheduling operation. The dispatcher compares the dispatch goals of these studies in pairs to determine the evaluation matrix:
[0046]
[0047] Among them, element A ij (i,j=1,2,...L) is the judgment scale, which represents tar...
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