An improved investment priority decision method for the electrical facilities considering reliability of distribution networks

2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-La)

2012

This paper addresses the problem of project selection for the improvement of power distribution systems, in which projects have to be chosen in order to fit the distribution utility's global budget. An analytical model is proposed to optimize the portfolio of selected projects, using the multiobjective genetic algorithm NSGA-II. Optimization criteria consider aspects of power quality, operational performance, number of consumers, and potential financial impacts of the projects. The value based optimization model prioritizes regional projects in a systemic way. The solution is a Pareto-optimal set of projects, representing the best project portfolios. The presented case studies show the changes in the choice of priority projects when power quality and operational performance are included in the analysis. The proposed method allows better planning of the distribution system, and helps in project selection and raising strategic investments.

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Section: Power Distribution Planningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distribution system project selection based on the power quality value

2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-La)

2012

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“…This planning involves several essential steps, such as load forecasting, current and future electrical network analysis, and choosing the best network reinforcement projects. 1 Since the budget is limited, the available projects should be methodologically analyzed and prioritized systemically to optimize resource allocation (e.g., References [2,3]). Nevertheless, the company must find the optimum project portfolio and choose the projects more aligned to its goals.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, Troncia et al 11 propose a solution based exclusively on a multi-attribute decision-making technique (Analytic Hierarchy Process, AHP), do not solving the associated optimization problem. The papers 3,12,13 try to tackle the whole problem of distribution projects prioritization. Choi et al 3 present a fuzzy decision model, but they do not use a multicriteria technique.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An integrated multicriteria decision‐making approach for distribution system expansion planning

Int J of Intelligent Sys

2021

The project selection problem in an electric distribution utility, which is part of the network expansion planning task, requires a formal process of prioritizing some projects since the budget is limited. A complete solution to this problem, involving optimization and a decision‐making model, is still a few explored in the literature. We proposed an integrated multicriteria decision‐making methodology, including optimization and solutions ranking. The optimization module finds a set of Pareto‐optimal portfolios, using the multi‐objective genetic algorithm nondominated sorting genetic algorithm‐II to select and schedule the reinforcement projects in a multistage planning horizon. The proposed decision support module ranks the project portfolios based on Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Simple Multi‐Attribute Rating Technique (SMART), considering the decision‐maker profile embedded into the model by the Rank‐Order Centroid (ROC) and Analytic Hierarchy Process (AHP) criteria weights. This paper tackles this methodology's theoretical foundations, taking into account some essential attributes, such as power quality and operational performance indexes, the number of consumers, and projects' financial impacts. We presented realistic case studies to show how portfolios are composed, not only when all nine attributes of projects are included in the optimization module, but also when the criteria weights are changed in the decision support module. This paper's main contribution lies in proposing a unique model to find optimal expansion plans and rank these project portfolios, considering the decision‐maker profile adherent to its goals. About the decision‐making methods applied in this problem, we infer that the TOPSIS performance overcomes SMART in all analyzed problems and the ROC and AHP weights indicate the same alternative in most of the analyzed cases.

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A Multistage Value-Based Model for Prioritization of Distribution Projects Using a Multiobjective Genetic Algorithm

J Control Autom Electr Syst

2013