Minimum cost security measurements for attack tree based threat models in smart grid

The economic dispatch problem of power plays a very important role in the exploitation of electro-energy systems to judiciously distribute power generated by all plants. The Unit commitment problem (UCP) is mainly finding the minimum cost schedule to a set of generators by turning each one either on or off over a given time horizon to meet the demand load and satisfy different operational constraints, This research article integrates the crow search algorithm (CSA) as a local optimizer of Eagle strategy (ES) to solve economic dispatch and unit commitment problem in smart grid system of two electricity networks: a testing system 7 units and the Moroccan network.. The results obtained by ES- CSA are compared with various results obtained in the literature. Simulation results show that using ES-CSA can lead to finding stable and adequate power generated that can fulfill the need of both the civil and industrial areas.

Download Full-text

Solving economic dispatch and unit commitment problem in smart grid system using eagle strategy based crow search algorithm

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v14.i3.pp1087-1096 ◽

2019 ◽

Vol 14 (3) ◽

pp. 1087

Author(s):

Rachid HABACHI ◽

Achraf Touil ◽

Abdellah Boulal ◽

Abdelkabir Charkaoui ◽

Abdelwahed Echchatbi

Keyword(s):

Smart Grid ◽

Unit Commitment ◽

Search Algorithm ◽

Economic Dispatch ◽

Minimum Cost ◽

Grid System ◽

Unit Commitment Problem ◽

Commitment Problem ◽

Smart Grid System ◽

Eagle Strategy

The economic dispatch problem of power plays a very important role in the exploitation of electro-energy systems to judiciously distribute power generated by all plants. The Unit commitment problem (UCP) is mainly finding the minimum cost schedule to a set of generators by turning each one either on or off over a given time horizon to meet the demand load and satisfy different operational constraints. This research article integrates the crow search algorithm as a local optimizer of Eagle strategy to solve economic dispatch and unit commitment problem in smart grid system.

Download Full-text

Maximum production — minimum cost via value analysis

Production Engineer ◽

10.1049/tpe.1963.0021 ◽

1963 ◽

Vol 42 (3) ◽

pp. 147

Author(s):

N. Taylor

Keyword(s):

Minimum Cost ◽

Value Analysis ◽

Maximum Production

Download Full-text

A generalized fuzzy cost efficiency model

RAIRO - Operations Research ◽

10.1051/ro/2019102 ◽

2020 ◽

Vol 54 (6) ◽

pp. 1775-1791

Author(s):

Nazila Aghayi ◽

Samira Salehpour

Keyword(s):

Cost Efficiency ◽

Minimum Cost ◽

Extensive Literature ◽

Data Envelopment ◽

Fuzzy Environment ◽

Decision Making Unit ◽

Production Possibility Set ◽

Fuzzy Cost ◽

The Cost ◽

Generalized Cost

The concept of cost efficiency has become tremendously popular in data envelopment analysis (DEA) as it serves to assess a decision-making unit (DMU) in terms of producing minimum-cost outputs. A large variety of precise and imprecise models have been put forward to measure cost efficiency for the DMUs which have a role in constructing the production possibility set; yet, there’s not an extensive literature on the cost efficiency (CE) measurement for sample DMUs (SDMUs). In an effort to remedy the shortcomings of current models, herein is introduced a generalized cost efficiency model that is capable of operating in a fuzzy environment-involving different types of fuzzy numbers-while preserving the Farrell’s decomposition of cost efficiency. Moreover, to the best of our knowledge, the present paper is the first to measure cost efficiency by using vectors. Ultimately, a useful example is provided to confirm the applicability of the proposed methods.

Download Full-text