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Optimal algorithm of distribution network planning including distributed generation

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2 Author(s)
Yanjun Wang ; Sch. of Electr. Eng. & Autom., Tanjin Univ., Tianjin ; Yun Zhang

The genetic algorithm has some defects for optimizing multi-objective, such as slow convergent speed and easy to premature. So this article proposes an improved self- adaptive genetic algorithm, improving terminal criterion and method of selection, make a self-adaptive disposal in crossover and mutation probability. Considering multi-objective of distribution network planning including distributed generation, this article introduces total satisfied degree by employing the fuzzy optimal theory, which makes a good way to transform multi-objective into single objective. Results of a system simulation show that this algorithm can seek the best result of overall situation effectively, increase the convergence speed obviously, also has favorable self-adaptive characteristic.

Published in:

Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on

Date of Conference:

6-9 April 2008

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