Optimal sectionalizer allocation in electric distribution systems by genetic algorithm

Levitin, Gregory; Mazal-Tov, Shmuel; Elmakis, David

doi:10.1016/0378-7796(94)90086-8

Cited by 74 publications

(48 citation statements)

References 6 publications

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“…By comparing the value of optimization the objective functions shown in (1) and (5), it is obvious that the needed value of the proposed algorithm in (1) is less than proposed algorithm based on (5). The positions of the protective devices achieved from each discussed scenario are shown in Table. 6.…”

Section: Rcloser 6000mentioning

confidence: 98%

“…The new model used to calculate the SAIFI of system is briefly shown as (3)(4)(5). This model simplifies the calculation of system reliability.…”

Section: Proposed Algorithmmentioning

confidence: 99%

“…This model simplifies the calculation of system reliability. All of the symbols used in (3)(4)(5) Table 1. The information about switch and protection equipment fixed costs is shown in Table 1 too.…”

Section: Proposed Algorithmmentioning

confidence: 99%

“…Several papers are found in literature dealt with the optimized placement of protective and switching devices. References [3][4][5][6][7] survey separately the optimal switch allocation for network energy restoration. Other references have analyzed the optimized allocation of the protective devices in distribution systems [1,[8][9][10].…”

Section: Introductionmentioning

confidence: 99%

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Optimized protective devices allocation in electric power distribution systems based on the current conditions of the devices

Hashemi‐Dezaki

Abyaneh

Kabiri

et al. 2010

2010 IEEE International Conference on Power and Energy

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This paper proposed the new method to carry out the optimized allocation of the protection devices to improve SAIFI based on the current placement of devices. Genetic algorithm (GA) is used to optimize the objective function. Advantages of the method used in this paper are minimal risk to change the protection devices, cost minimization of change the location of the devices and system reliability improvement. In order to illustrate the application of this method, an actual electric power distribution feeder, 20 kV, overhead lines, threewire with a delta-grounded wye connection substation transformer is used.

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Section: Rcloser 6000mentioning

confidence: 98%

“…The new model used to calculate the SAIFI of system is briefly shown as (3)(4)(5). This model simplifies the calculation of system reliability.…”

Section: Proposed Algorithmmentioning

confidence: 99%

Section: Proposed Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimized protective devices allocation in electric power distribution systems based on the current conditions of the devices

Hashemi‐Dezaki

Abyaneh

Kabiri

et al. 2010

2010 IEEE International Conference on Power and Energy

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“…In [4] an algorithm based on Bellman's optimality principle is introduced for allocation of sectionalizing switches. In [5]- [7], a number of genetic algorithm-based SSP methods are proposed. In [8], the problem of optimal sectionalizing switch replacement is formulated from the societal cost to benefit point of view and two techniques involving direct enumeration and a mixed enumeration/bisection search are used.…”

Section: Introductionmentioning

confidence: 99%

Ant Colony Optimization-Based Method for Placement of Sectionalizing Switches in Distribution Networks Using a Fuzzy Multiobjective Approach

Falaghi

Haghifam

Singh

2009

IEEE Trans. Power Delivery

172

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This paper proposes a methodology for placement of sectionalizing switches in distribution networks in the presence of distributed generation sources. The multiobjective considerations are handled using a fuzzy approach. The primary objective is reliability improvement with consideration of economic aspects. Thus, the objectives are defined as reliability improvement and minimization of the cost of sectionalizing switches. A fuzzy membership function is defined for each term in the objective function according to relevant conditions. Some considerations incorporated in the proposed model are relocation of existing switches and operating constraints on distribution networks and distributed generation (DG) sources during post-fault service restoration. The Ant Colony Optimization (ACO) algorithm is adopted to solve the fuzzy multiobjective problem efficiently. The performance of the proposed approach is assessed and illustrated by various case studies on a test distribution system and also a real distribution network.

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Grid Automation Enabling Prompt Restoration

2022

Power Grid Resilience Against Natural Disasters

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Optimal sectionalizer allocation in electric distribution systems by genetic algorithm

Cited by 74 publications

References 6 publications

Optimized protective devices allocation in electric power distribution systems based on the current conditions of the devices

Optimized protective devices allocation in electric power distribution systems based on the current conditions of the devices

Ant Colony Optimization-Based Method for Placement of Sectionalizing Switches in Distribution Networks Using a Fuzzy Multiobjective Approach

Grid Automation Enabling Prompt Restoration

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