Multicriteria Reconfiguration of Distribution Network with Distributed Generation

Voropai, N.I.; Bat-Undraal, B.

doi:10.1155/2012/317315

Cited by 12 publications

(5 citation statements)

References 13 publications

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“…It was proved with 33-, 70-, 83-, 119-, 136-, and an unbalanced 33-bus systems, and compared with other metaheuristic and heuristic techniques, such as GA, RGA, HBMO, Heuristics, SAPSO, AIS, MSFLA, and ITS, getting better results or, in some cases, the same, but the efficiency was always better. Other works related to ACO are reported in [88].…”

Section: Ant Colony Optimization (Aco)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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Section: Ant Colony Optimization (Aco)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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“…Avoiding those investments is possible, thanks to a tool named "load flow analysis" [7], which is able to calculate the needed network information only from the values of load consumed or injected of each node. Load flow analysis is a widely used tool transmission system in several applications, as power generating scheduling [8], and could also be very useful for many applications in distribution networks, such as network analysis [9], load control [10,11], network reconfiguration [12], integration of generation [13], optimal allocation of UPQC [14], and integration of electric vehicle [15]. Several methods had been developed and deployed in the transmission system such as Gauss-Seidel [16], Newton-Raphson [17] and fast-decoupled methods [18].…”

Section: Introductionmentioning

confidence: 99%

An Improved Backward/Forward Sweep Power Flow Method Based on a New Network Information Organization for Radial Distribution Systems

Ouali

Cherkaoui

2020

Journal of Electrical and Computer Engineering

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This paper presents a load flow algorithm based on the backward/forward sweep principle, flexible with network topology changes, with an improvement in ensuring a minimum number of searching for connections between nodes in the calculation sequence in the forward and the backward sweep, by organizing the radial distribution system information into a main line and its derivations. The proposed load flow analysis is easy to implement and does not require the use of any complex renumbering of branches and nodes, or any matrix calculation, with the only use of linear equations based on Kirchhoff’s formulation.

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“…Guardado et al proposed an encoding scheme based on paretooptimal solutions using power losses, voltage deviations, and number of operating switches as a multiobjective optimization for DSR problem when applied to real RDS [10]. Voropai and Undraal carried out the DSR with DG problem for the power system of Mongolia with single objective function of loss reduction under normal operation condition and reliability improvement after contingency condition based on ant colony algorithm [11]. Shojaeian and Ghandehari introduced sifting algorithm for DSR with an objective of real power loss and voltage deviation reductions and applied to standard 16-bus RDS with advantage of search space reduction using the method of eliminating infeasible typologies [12].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Design of Optimal Capacitor Placement and Reconfiguration for Performance Improvement in a Radial Distribution System

Hussain

Al-Jubori

Kadom

2019

Journal of Engineering

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Distribution System Reconfiguration (DSR) and Optimal Capacitor Placement (OCP) are the most alternative techniques for increasing the power system generation and covering the growth of power demands. These techniques reduce the Radial Distribution System (RDS) losses and enhance the voltage profile. Combining both techniques gives better performance than using the individual technique. In this paper, two operation modes were implemented. First, the individual mode of OCP is applied. Second, the dual mode of DSR after OCP process is applied. Multiobjective functions with considering the weighting factors are used for minimizing real losses, improving voltage profile, and increasing saving cost. The optimal selections of open switches, location, and size of capacitors in the individual and dual design for RDS are achieved using four different optimization algorithms. These algorithms are Modified Biogeography-Based Optimization (MBBO) algorithm, Cuckoo Search (CS) algorithm, Modified Imperialist Competitive (MIC) algorithm, and Modified Bacterial Foraging-Based Optimization (MBFBO) algorithm. These algorithms are applied for two standard networks (IEEE 33- and IEEE 69-bus). Comparisons among the proposed algorithms are done, and the results demonstrated that the MBBO algorithm is the most strong and fast algorithm to attain the optimum solution. In addition, comparisons with literature works are done to validate the effectiveness of proposed algorithms.

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Multicriteria Reconfiguration of Distribution Network with Distributed Generation

Cited by 12 publications

References 13 publications

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

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

An Improved Backward/Forward Sweep Power Flow Method Based on a New Network Information Organization for Radial Distribution Systems

Hybrid Design of Optimal Capacitor Placement and Reconfiguration for Performance Improvement in a Radial Distribution System

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