Weighting Voronoi diagram substation planning method based on chaotic and genetic strategy
A technology of substation planning and chaotic inheritance, applied in genetic models, instruments, data processing applications, etc., can solve problems such as slow convergence speed, uncontrollable initial value sensitive substation load rate, poor local optimization ability, etc.
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[0075] this invention:
[0076] 1. Calculate the weight according to the capacity of the substation and its load distribution. On the basis of improving the weight calculation, add the load rate adaptive control process to form a substation planning method with a weighted Voronoi diagram whose weight can be adaptively adjusted.
[0077] 2. Combining the weighted Voronoi diagram method and the genetic algorithm, the weighted Voronoi diagram substation site selection of the optimal genetic algorithm is realized.
[0078] 3. Introduce the idea of chaos, solve the premature problem of genetic algorithm, make the planning result more optimal, and realize the weighted Voronoi diagram substation site selection method based on chaotic genetic algorithm.
[0079] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0080] 1. The maximum load rate of the substation under the "N-1" principle is shown in Table 1...
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