Optimal switch placement in distribution power system using linear fragmented particle swarm optimization algorithm preprocessed by GA

Golestani, S.; Tadayon, Mahdi

doi:10.1109/eem.2011.5953070

Cited by 20 publications

(3 citation statements)

References 17 publications

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“…A new method based on combining a genetic algorithm with a particle swarm optimization algorithm was proposed in [9]. A multi-objective ant colony optimization algorithm for minimizing the total cost while simultaneously minimizing two distribution system indices including a system average interruption frequency index (SAIFI) and system average interruption duration index (SAIDI) was proposed in [1].…”

Section: Introductionmentioning

confidence: 99%

Considerations of Sectionalizing Switches in Distribution Networks With Distributed Generation

Heidari

Agelidis

Kia

2015

IEEE Trans. Power Delivery

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Introducing distributed generation (DG) into distribution networks can affect the problem of optimal switch placement. A method for solving the problem of optimal placement of sectionalizing switches with large number of DG is presented. The primary objective is to minimize the total cost of achieving a certain level of reliability in the presence of DG. The problem is formulated using mixed-integer linear programming to determine the optimal number and location of sectionalizing switches. Allowing DG to operate in an island mode is also considered. The effectiveness of the proposed formulation is examined on a modified reliability test system. The presented results indicate that the proposed formulation can provide a global optimum solution for the problem of sectionalizing switch placement, while reliability, capital investment and annual operation and maintenance costs are considered. Furthermore, DG can play a key role providing a reasonable improvement in the reliability indices of the system.

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Section: Introductionmentioning

confidence: 99%

Considerations of Sectionalizing Switches in Distribution Networks With Distributed Generation

Heidari

Agelidis

Kia

2015

IEEE Trans. Power Delivery

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“…The number and placement of sectionalizing switches (SSP) affects the rate at which the network disturbances are eliminated and consequences mitigated. This problem has a linear and discrete combinatorics task, which can be solved by various methods, for example: the mixed integer linear programming method [6][7][8], tree-structure based algorithms [9], fuzzy multicriteria method [10], tabu search [11], ant colony algorithm [12,13], genetic algorithm [14][15][16], swarm algorithm [17][18][19]. Objective function, independently of the method used to solve this task, may be based on the economic criterion [6, 8, 11-13, 15, 18-21] or reliability indices like: AENS, ENS [6,8,9,[22][23][24], SAIFI or SAIDI [6,8,9,25] and reserve factor [25,26].…”

Section: Introductionmentioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Bąchorek¹,

Benesz²

2020

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The paper addresses the problem of placement of sectionalizing switches in medium voltage distribution networks. Proper placement of sectionalizing switches is one of the elements leading to higher power networks reliability. The methods of optimal allocation of such switches in a MV distribution network are presented in the paper. SAIDI was used as a criterion for the sectionalizing switches placement. For selecting optimum placements, three methods were used: brute force method, evolutionary algorithm and heuristic algorithm. The calculations were performed for a real MV network.

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“…Switches and reclosers were in [8] both optimally located to enhance system reliability. Switches were optimally placed in [9] in a network with distributed generation to improve economic factors and reliability.…”

Section: Introductionmentioning

confidence: 99%

Distributed energy resources network connection considering reliability optimization using a NSGA-II algorithm

Pombo

Murta-Pina

Pires

2017

2017 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)

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Abstract-Distributed Energy Resources (DER) has been widely introduced in distribution networks in response to the increase of environmental awareness of the consumers. The benefits with the use of DER are increased with network reconfiguration, but in some countries exists the impossibility of island operation as well as the obligation to buy all the electricity generated. These limitations, in a network fault situation, causes a waste of resources, because of the unavailability of the DER. On other hand, the location of DER connection under the context of the improvement of the reliability indexes has not been studied. Thus, this paper will propose a multi objective optimization of the location of DER connection considering the switching devices placement to increase network reliability and availability of DER, minimizing at the same time the investment in equipment in a no island operation environment. For the resolution of the proposed formulation, it will be used the multi objective algorithm NSGA-II (Fast Non-dominated Sorting Genetic Algorithm). The formulation of the problem also considers a composite index made up of DER and interruption duration. This approach is applied to a real utility distribution network, with the results presented and discussed.

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Optimal switch placement in distribution power system using linear fragmented particle swarm optimization algorithm preprocessed by GA

Cited by 20 publications

References 17 publications

Considerations of Sectionalizing Switches in Distribution Networks With Distributed Generation

Considerations of Sectionalizing Switches in Distribution Networks With Distributed Generation

Bulletin of the Polish Academy of Sciences: Technical Sciences

Distributed energy resources network connection considering reliability optimization using a NSGA-II algorithm

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