Reliability worth applied to transmission expansion planning based on ant colony system

Silva, Armando M. Leite da; Rezende, Leandro S.; Manso, Luiz A. F.; Resende, Leonidas C.

doi:10.1016/j.ijepes.2010.06.003

Cited by 76 publications

(36 citation statements)

References 22 publications

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“…In the recent period, Lattore et al [13] [32][33][34], disjunctive mixed integer programming [35], branch and bound algorithm [36], implicit enumeration [37,38], Benders decomposition [12, 39,40], maximum flow [12], hierarchical decomposition [41], sensitivity analysis [42,43], genetic algorithm (GA) [44][45][46][47][48][49], object-oriented programming [50], game-theory [51][52][53][54], simulated annealing [55,56], expert systems [57,58], fuzzy set [49,59,60], greedy randomised adaptive search [61], non-convex optimisation [62], tabu search [63], ant-colony [64], data-mining [65], particle swarm optimisation (PSO) [66][67][68][69], harmony search [70,71], artificial neural network (ANN) [72], game theory [73], and robust optimisation techniques [74][75]…”

Section: Grid Developmentmentioning

confidence: 99%

Time‐horizons in the planning and operation of transmission networks: an overview

Khuntia

Tuinema

Rueda

et al. 2016

IET Generation, Transmission & Distribution

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In the planning and operation of power systems, actions are taken in different processes and time-horizons. The purpose of these actions is to secure a high reliability level. Although the three main processes (grid development, asset management, and system operation) are described in literature, there has been no explicit study on the time-horizons (long-term, mid-term, and short-term) and actual time-scale (decades, years, months, etc.) that these processes focus on. This study aims at making a review of the various activities performed by transmission system operators while reviewing the concept of each time-horizon and methodologies developed in literature. As decisions taken in different time-horizons can influence each other, the interactions and overlapping are discussed.

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Section: Grid Developmentmentioning

confidence: 99%

Time‐horizons in the planning and operation of transmission networks: an overview

Khuntia

Tuinema

Rueda

et al. 2016

IET Generation, Transmission & Distribution

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“…As a result, TEP is gaining more significance, particularly for example, in India where the transmission capacity has to be increased significantly, primarily to keep pace with the expected 11% growth in generation [5]. Previous studies [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] have identified important issues pertaining to network planning: (i) optimal location of new transmission lines, (ii) optimal capacity of the proposed transmission lines, (iii) up-gradation of existing transmission lines, and (iv) selection of objective function to minimize.…”

Section: Introductionmentioning

confidence: 99%

“…Leite da Silva et al [10,11], Escobar et al [12], and Weijde and Hobbs [13], describe the methodology for multi-stage TEP. However a large set of publications circumvent the multi-stage analysis by modulating single stage static TEP [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

“…However a large set of publications circumvent the multi-stage analysis by modulating single stage static TEP [14][15][16][17][18]. Single stage TEP can be utilized for multi-stage TEP according to the algorithm introduced by Leite da Silva et al [10,11].…”

Section: Introductionmentioning

confidence: 99%

“…to non-traditional (Evolutionary algorithms, Swarm intelligence, Tabu search etc.) optimization techniques, while minimizing the investment cost with customer interruption cost [1][2][3][4][10][11][12][13][14][15]. The approach followed by Choi et al [16] was similar to the above-mentioned publications except for the fact that reliability criteria were used as a constraint for minimizing the investment costs.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Congestion management based roulette wheel simulation for optimal capacity selection: Probabilistic transmission expansion planning

Gupta

Shekhar

Kalra

2012

International Journal of Electrical Power & Energy Systems

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Unsupervised machine learning techniques applied to composite reliability assessment of power systems

Assis

Coelho

Rezende

et al. 2021

Int Trans Electr Energ Syst

Self Cite

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Summary Composite generation and transmission system reliability evaluation allows the assessment of the risks of system operation failure, taking into account the uncertainties associated with the availability of equipment. One of the great challenges faced in the use of techniques based on probabilistic assessment during the planning stages is related to the required computational costs. Depending on the reliability levels of the system under study and on the grid size, a large number of operation performance analyzes are necessary. In this sense, this article proposes a new and simple method to efficiently evaluate the composite reliability of electrical power networks. The nonsequential Monte Carlo simulation (MCS) method is combined with unsupervised machine learning (UML) techniques to reduce the computational effort involved in the process of estimating composite reliability indices. The proposed approach allows different unsupervised techniques to be employed, in order to obtain significant reductions in CPU times, without losing the accuracy of the estimated indices. The IEEE‐RTS system, considering the original load and generation and its modified version with the transmission network stressed, in addition to a real large system, is used for evaluating the performance of the proposed method. The results obtained with the use of three different classification techniques (Kohonen self‐organizing map, K‐means, and K‐medoids) are presented and analyzed.

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Reliability worth applied to transmission expansion planning based on ant colony system

Cited by 76 publications

References 22 publications

Time‐horizons in the planning and operation of transmission networks: an overview

Time‐horizons in the planning and operation of transmission networks: an overview

Congestion management based roulette wheel simulation for optimal capacity selection: Probabilistic transmission expansion planning

Unsupervised machine learning techniques applied to composite reliability assessment of power systems

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