Application assessments of distribution network minimum loss reconfiguration

Borozan, V.; Rajaković, Nikola

doi:10.1109/61.634206

Cited by 29 publications

(9 citation statements)

References 12 publications

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“…(1) to (6). As regards the validity of the assumptions listed below, the loads in actual power networks can only be approximately estimated, which inevitably results in large errors: thus, the assumptions are not expected to significantly reduce accuracy.…”

Section: Definition and Formulation Of Problemmentioning

confidence: 99%

“…Thus, the open switch positions must be optimized to reduce line losses. Various solutions to this problem have already been proposed [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. In addition, with the recent trend toward connecting fuel cells, micro gas turbines, and other small distributed generators to distribution networks, the reverse power flow produced by such distributed generators must be considered when solving the above problem.…”

Section: Introductionmentioning

confidence: 99%

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Method for minimum‐loss reconfiguration of distribution system by tabu search

Mishima

Nara

Satoh

et al. 2005

Electrical Engineering Japan

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SUMMARYThis paper proposes a loss minimum reconfiguration method by tabu search for an open-loop radial distribution system with distributed generators. The problem is to find the optimal normal open sectionalizing switch positions which minimize the total distribution line losses subjected to the line/transformer capacity constraints and voltage constraint. Generally, the problem is mathematically formulated as a complex combinatorial optimization problem or mixed integer programming problem, and is solved by using mathematical programming method, heuristic algorithm, intelligent method, and so on. However, a satisfactory algorithm for power companies has not yet been attained in both computational burden and solution accuracy. Thus, in this paper, the authors propose a method to solve the above problem by using tabu search (TS). Reverse power flow caused by distributed generators can be included in the solution algorithm. TS is one of the meta-heuristic algorithms, and sometimes has been evaluated to be better than genetic algorithm (GA) or simulated annealing (SA) from viewpoints of both computational speed and solution accuracy. In order to evaluate the validity and efficiency of the algorithm, several numerical examples are shown in this paper.

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Section: Definition and Formulation Of Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Method for minimum‐loss reconfiguration of distribution system by tabu search

Mishima

Nara

Satoh

et al. 2005

Electrical Engineering Japan

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show abstract

“…Zhou et al [4] proposed heuristic rules and fuzzy logic to solve the reconfiguration problem for the service restoration and load balancing. Some other heuristic methods [5][6][7] were also used to solve the reconfiguration problem with different objective functions. e advantages of heuristic methods are simple application, few parameters, and fast computation.…”

Section: Introductionmentioning

confidence: 99%

Distribution Network Reconfiguration for Power Loss Reduction and Voltage Profile Improvement Using Chaotic Stochastic Fractal Search Algorithm

Anh

2020

Complexity

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This paper proposes a chaotic stochastic fractal search algorithm (CSFSA) method to solve the reconfiguration problem for minimizing the power loss and improving the voltage profile in distribution systems. The proposed method is a metaheuristic method developed for overcoming the weaknesses of the conventional SFSA with two processes of diffuse and update. In the first process, new points will be created from the initial points by the Gaussian walk. For the second one, SFSA will update better positions for the particles obtained in the diffusion process. In addition, this study has also integrated the chaos theory to improve the SFSA diffusion process as well as increase the rate of convergence and the ability to find the optimal solution. The effectiveness of the proposed CSFSA has been verified on the 33-bus, 84-bus, 119-bus, and 136-bus distribution systems. The obtained results from the test cases by CSFSA have been verified to those from other natural methods in the literature. The result comparison has indicated that the proposed method is more effective than many other methods for the test systems in terms of power loss reduction and voltage profile improvement. Therefore, the proposed CSFSA can be a very promising potential method for solving the reconfiguration problem in distribution systems.

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“…The systematic method in Borozan and Rajaković for reconfiguration power loss reduction problem is suggested. The methodology has 3 basic parts: load estimation in real time, building of minimum loss configuration, and cost and benefit estimation.…”

Section: Introductionmentioning

confidence: 99%

Novel approach to reconfiguration power loss reduction problem by simulated annealing technique

Stojanović¹,

Rajić

2017

Int Trans Electr Energ Syst

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Summary The network reconfiguration is done by changing the status of the switches, mainly for 2 reasons: an active power loss reduction and load balancing attracting the attention of distribution engineers for quite a long period of time. In this article, solving method for the active power loss reduction is given. Searching for the relevant radial configurations is done by a simulated annealing technique. To aid the search, a program for checking the connectivity of the power system, with imposed radiality constraint, is enhanced by a new approximate power flow method. The applied power flow program is very efficient and fast but can be used only as an indication for the loss estimation because of the insufficient method accuracy. At the end of the algorithm, it is necessary to run an efficient power flow program to determine the real situation concerning loss reduction. A numerical example for Baran and Wu network is analyzed. The developed method converges to the global optimum given in a numerical example. The time duration of the used method is of an hour order and does not depend on the fast manipulation of incoming data files. This advantage makes the method interesting in the planning stage as well as the application in real time. Main contribution of this paper is a novel approach that exploits mostly the following mechanisms: network connectivity checking matrix, Lavorato et al criterion for imposing radiality constraint, and efficient power flow algorithm combined with precise power flow for exact loss calculation.

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Application assessments of distribution network minimum loss reconfiguration

Cited by 29 publications

References 12 publications

Method for minimum‐loss reconfiguration of distribution system by tabu search

Method for minimum‐loss reconfiguration of distribution system by tabu search

Distribution Network Reconfiguration for Power Loss Reduction and Voltage Profile Improvement Using Chaotic Stochastic Fractal Search Algorithm

Novel approach to reconfiguration power loss reduction problem by simulated annealing technique

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