Multi-Objective Stochastic Distribution Feeder Reconfiguration in Systems With Wind Power Generators and Fuel Cells Using the Point Estimate Method

Malekpour, Ahmad; Niknam, Taher; Pahwa, Anil; Kavousi‐Fard, Abdollah

doi:10.1109/tpwrs.2012.2218261

Cited by 161 publications

(93 citation statements)

References 30 publications

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“…It is therefore justified to use new methods and tools, such as fuzzy systems, to create a logical framework, which will use realistic data to model EPDS planning criteria. Some of the examples of fuzzy approach to EPDS and Distributed Generation (DG) planning and development applications are presented in [10], [14][15][16][17][18][19][20].…”

Section: Literature Reviewmentioning

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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Section: Literature Reviewmentioning

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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“…The results showed that the proposed algorithm was the fastest. Parallel investigations are offered in [51], [52], and [65].…”

Section: Particle Swarm Optimization (Pso)mentioning

confidence: 99%

Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration

Quintero-Duran

Candelo-Becerra

Sousa

2017

JESTR

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Distribution network reconfiguration (DNR) continues to be a good option to reduce technical losses in a distribution power grid. However, this non-linear combinatorial problem is not easy to assess by exact methods when solving for large distribution networks, which requires large computational times. For solving this type of problem, some researchers prefer to use metaheuristic techniques due to convergence speed, near-optimal solutions, and simple programming. Some literature reviews specialize in topics concerning the optimization of power network reconfiguration and try to cover most techniques. Nevertheless, this does not allow detailing properly the use of each technique, which is important to identify the trend. The contributions of this paper are three-fold. First, it presents the objective functions and constraints used in DNR with the most used metaheuristics. Second, it reviews the most important techniques such as particle swarm optimization (PSO), genetic algorithm (GA), simulated annealing (SA), ant colony optimization (ACO), immune algorithms (IA), and tabu search (TS). Finally, this paper presents the trend of each technique from 2011 to 2016. This paper will be useful for researchers interested in knowing the advances of recent approaches in these metaheuristics applied to DNR in order to continue developing new best algorithms and improving solutions for the topic.

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“…Besides, the algorithm is also one of the important parts of solving reconfiguration problems. Malekpour et al [15] have used an adaptive particle swarm optimization (APSO) algorithm to obtain the optimal reconfiguration plan. Wu et al [16] have proposed an enhanced integer coded particle swarm optimization (EICPSO) approach, to improve the search efficiency for feeder reconfiguration problems.…”

Section: Open Accessmentioning

confidence: 99%

The Application of Weighted Entropy Theory in Vulnerability Assessment and On-Line Reconfiguration Implementation of Microgrids

Xue

Xiang

Chen

2014

Entropy

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Abstract:With the consideration of randomness of distributed generations and loads, this paper has proposed a method for vulnerability assessment of microgrids based on complex network theory and entropy theory, which can explain the influence of the inherent structure characteristics and system internal energy distribution on the microgrid. The vulnerability assessment index is built, and the on-line reconfiguration model considering the vulnerability assessment of microgrid is also established. An improved cellular bat algorithm is tested on the CERTS system to implement the real time reconfiguration fast and accurately to provide the basis of theory and practice.

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Multi-Objective Stochastic Distribution Feeder Reconfiguration in Systems With Wind Power Generators and Fuel Cells Using the Point Estimate Method

Cited by 161 publications

References 30 publications

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

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

Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration

The Application of Weighted Entropy Theory in Vulnerability Assessment and On-Line Reconfiguration Implementation of Microgrids

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