Skip to Main Content
Notice of Violation of IEEE Publication Principles
"A Benders Decomposition and Fuzzy Multicriteria Approach for Distribution Networks Renumerations Considering DG"
by H.M. Khodr, Zita A. Vale, Carlos Ramos
in the IEEE Transactions on Power Systems, Vol 24, No 2, May 2009
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.
This paper was found to have copied verbatim portions of text and figures from the paper cited below. A credit notice is used, but due to the absence of quotation marks or offset text, copied material is not clearly referenced or specifically identified.
"Renumerations of Distributed Networks using a Fuzzy Multicriteria Planning Algorithm"
by P.M. De Oliveira-De Jesus, M.T. Ponce de Leao, H.M. Khodr,
in the Proceedings of the International Conference on Probabilistic Methods Applied to Power Systems, June 2006
In this paper, the remuneration of fixed costs of distribution networks with distributed generation is evaluated by means of an efficient planning strategy that includes the concept of fuzzy robustness of a given solution plan. As a key contribution, it is included the possibility of choice among different conductor sizes in order to assess the deep costs by overcapacity introduced by distributed generation. A single-stage multicriteria nonlinear problem is stated using three different criteria: investment cost in lines and transformers or distributed generators, power losses cost and unserved energy cost. Pareto or efficient plans are identified using the epsiv-Constraint/Weighting method and solved by Benders decomposition algorithm. Uncertainty associated to load demand and power injections of distributed resources are integrated using a fuzzy power flow in order to obtain the robustness indexes of each Pareto solution. The annualized fixe- d charge rate (AFCR) associated to new and existing distribution lines and transformers or distributed generators is assessed through a with-without analysis permitting to compute the annual avoided charge rate (AACR) in order to send incentives or charges to distributed generation promoters by the avoided or added investment costs on the system. The model is programmed in GAMS mathematical modeling language. The effectiveness of the proposal is demonstrated through a real 201-node distribution network.