Title :
Notice of Retraction
Optimal Model of Multi-objective the Distribution Network Planning Based on Rough Set Theory and Fuzzy Optimized Algorithm
Author :
Sheng Siqing ; Wu Jing
Author_Institution :
Sch. of Electr. & Electr. Eng., North China Electr. Power Univ., Baoding, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The distribution network planning considers one or two and many goals (target) under certain constraints. It is formulated as a large-scale, complex, the misalignment discrete variable and the multi-restraint multi-objective mathematical optimization problems. For the purpose to take into account both economy and reliability of distribution network planning, this paper uses investment cost, loss of network and reliability and so on as multi-objective functions to establish mathematics model. It is proposed that the smallest investment, the smallest loss and the least SAIDI as mathematics model. That uses the rough set method to determine the link between the objective functions and uses the fuzzy optimized algorithm to obtain the relative important weighting factors attribute to various objectives. And then the pursuit of multi-objective optimization transforms to seek the optimal level of satisfaction of the overall goals. The improvement of PSO algorithm and the Powell optimization algorithm are used to optimize distribution network planning. The example shows that the method is feasible and effective.
Keywords :
fuzzy set theory; particle swarm optimisation; power distribution economics; power distribution planning; power distribution reliability; rough set theory; PSO algorithm; Powell optimization algorithm; SAIDI; distribution network economy; distribution network reliability; fuzzy optimized algorithm; multi-objective distribution network planning; rough set theory; Costs; Fuzzy set theory; Fuzzy sets; Investments; Mathematical model; Mathematics; Power system planning; Power system reliability; Power system security; Set theory;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
DOI :
10.1109/APPEEC.2010.5448163