Methods of multicriteria decision making in fuzzy environment and their applications to transmission and distribution problems

Ekel, Petr; Terra, L.D.B.; Junges, M.F.D.

doi:10.1109/tdc.1999.756146

Cited by 7 publications

(3 citation statements)

References 5 publications

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“…Linear programming is a mathematical method which is perfect in the theory and solving method. Fuzzy programming [9] is use strict mathematical theory to deal with the problem of ambiguity, which is suitable to solve the problem of multi objective optimization and comprehensive evaluation of different dimension and conflicting data. We can use the way to solve the problems about the probabilistic uncertainty factor in power system.…”

Section: Mathematical Optimization Methodsmentioning

confidence: 99%

A Review of Transmission Development Planning Based on Risk Evaluation

Lin

Min

et al. 2015

MATEC Web of Conferences

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Abstract. The paper summarizes the methods about the transmission development planning which considers risk factors. It introduces the transmission network flexible planning method based on the uncertain factors, the mathematical optimization method and a heuristic method. Then we discuss the way to deal with risks about transmission network planning. Given that, we proposed the future research direction.

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Section: Mathematical Optimization Methodsmentioning

confidence: 99%

A Review of Transmission Development Planning Based on Risk Evaluation

Lin

Min

et al. 2015

MATEC Web of Conferences

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“…However, it is possible to identify the main application fields. Among the most relevant areas highlighted by the performed literature review the following ones can be mentioned:  Energy power systems: capacitors placement problems (Araújo et al, 2011), energy transmission and distribution optimisation (Ekel et al, 1999) energy planning (Beccali et al, 1998;Kaya et al, 2011), selection of alternative energy sources (Barin et al, 2010), selection of trigeneration systems (Nieto Morote et al, 2011), design and control of power systems (Ekel and Popov, 1995), and selection of renewable energy alternatives (Kahraman et al, 2009).  Facility location selection: see Section 2.2.…”

Section: Practical Contributionsmentioning

confidence: 99%

A multi-criteria fuzzy method for selecting the location of a solid waste disposal facility

Cagliano

Pilloni

Rafele

2014

IJMDM

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Her main research interests are planning and design of industrial and service facilities, with particular reference to feasibility analysis, location selection, and economic evaluations, facility maintenance, and assessment of the technical and economic performances of production systems. Carlo Rafele is Full Professor of Industrial Facilities and Logistics at Politecnico di Torino (Italy). His main research interests are logistics, supply chain management, project management, and facility planning in several manufacturing and service sectors. He previously worked for a contractor of automated systems.

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“…Elements of the decision matrix (reconstruction criteria) are the output variables of the fuzzy inference system. Bellman-Zadeh model has been proven as a suitable tool in similar applications [4]. The main objective of this work is to provide a logical and easy to follow decision making framework which can be used to model, identify and rank EPDS reconstruction projects according to their ability to deliver long term benefits to both customers and utility.…”

Section: Introductionmentioning

confidence: 99%

New algorithm for distribution system reconstruction planning based on fuzzy inference and multicriteria decision making

Šarić¹,

Hivziefendić

Kevrić

2018

Eng. rev. (Online)

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This paper presents a new algorithm for distribution system reconstruction planning based on Mamdani type fuzzy inference and BellmanZadeh multi criteria decision making method. The proposed algorithm takes system attributes as inputs (number of customers served by renewed infrastructure, energy losses, power demand and cost of investment) and returns crisp output values which are used as planning criteria. The aim of this paper is to provide a logical decision making framework which can be used to model, evaluate, and rank projects according to required criteria. The proposed model is flexible and can be extended to include additional planning criteria. The proposed method is tested on a realistic distribution system to demonstrate its relevance. It is expected that this paper will make a contribution toward more effective management of power distribution network planning process and that it will be used by planning engineers in practical problems.

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Methods of multicriteria decision making in fuzzy environment and their applications to transmission and distribution problems

Cited by 7 publications

References 5 publications

A Review of Transmission Development Planning Based on Risk Evaluation

A Review of Transmission Development Planning Based on Risk Evaluation

A multi-criteria fuzzy method for selecting the location of a solid waste disposal facility

New algorithm for distribution system reconstruction planning based on fuzzy inference and multicriteria decision making

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