Optimised placement of control and protective devices in electric distribution systems through reactive tabu search algorithm

Silva, Luis G. Wesz da; Pereira, R. Araujo; Abbad, Juan Rivier; Mantovani, José Roberto Sanches

doi:10.1016/j.epsr.2007.03.005

Cited by 75 publications

(74 citation statements)

References 13 publications

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“…But, with switching device, it can be possible to restore some of them. Although in references [6,7], the main subject is total cost and reliability index, there is brief pointing to energy restoration. The new model is developed to calculate the RI (restoration Index).…”

Section: Problem Formulationmentioning

confidence: 99%

“…Therefore, there is an increasing interest in optimization of allocation of protective and switching devices in distribution systems and there have been many studies in this regard [2][3][4][5][6][7][8][9][10]. References [6,7,11] propose different mathematical models and optimization methodologies for optimal placement of protective and switching devices. The objectives of the references are to increase the reliability and to decrease the costs.…”

Section: Introductionmentioning

confidence: 99%

“…Reference [6] Engages with the decreasing of the system cost to determine the optimal device position. The main difference between methods proposed in [11] and [6,9] is using single or multi objective. Reference [11] has determined device placements in distribution system to improve SAIFI, SAIDI and total cost.…”

Section: Introductionmentioning

confidence: 99%

“…The objectives of the references are to increase the reliability and to decrease the costs. Several optimization methods have been used to solve such problems as genetic algorithm (GA), ant colony system (ACS), reactive tabu search (RTS), simulation annealing, etc [5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimized Switch Allocation to Improve the Restoration Energy in Distribution Systems

Hashemi‐Dezaki¹,

Abyaneh²,

Agheli³

et al. 2012

Journal of Electrical Engineering

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In distribution networks switching devices play critical role in energy restoration and improving reliability indices. This paper presents a novel objective function to optimally allocate switches in electric power distribution systems. Identifying the optimized location of the switches is a nonlinear programming problem (NLP). In the proposed objective function a new auxiliary function is used to simplify the calculation of the objective function. The output of the auxiliary function is binary. The genetic algorithm (GA) optimization method is used to solve this optimization problem. The proposed method is applied to a real distribution network and the results reveal that the method is successful.K e y w o r d s: Power distribution systems, switches, restoration energy, genetic algorithm (GA)

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Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimized Switch Allocation to Improve the Restoration Energy in Distribution Systems

Hashemi‐Dezaki¹,

Abyaneh²,

Agheli³

et al. 2012

Journal of Electrical Engineering

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show abstract

“…Considering the SOOP approach, the reactive tabu search algorithm (RTS) is implemented in [2] to solve a cost minimization problem modeled through a mixed integer non-linear programming with real and binary variables. Moreover, [3] presents a novel structure for the simple differential evolution algorithm (DE) to solve optimal recloser placement by minimizing an objective function composed by four reliability indices.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Recloser Placement in DG-Enhanced Distribution Networks Using a Multi-objective Optimization Approach

López¹,

Pantoja²

2017

REPQJ

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Abstract. Efficient placement of protective devices in electric power distribution networks is necessary in order to achieve a reliable system and provide continuous power supply to customers as long as possible. The islanded operation with distributed generation (DG) provides a way to reduce the energy not supplied (ENS) but the placement of protections, such as reclosers, is necessary in order to allow the system to achieve this mode of operation. This paper presents a multi-objective optimization method to place efficiently normally closed reclosers by using a constrained non-dominated sorting genetic algorithm (C-NSGA-II) to reduce SAIDI, ENS and investment costs. A co-simulation approach is used in such a way that the power system is modelled in PowerFactory, while MATLAB is used to implement the C-NSGA-II. Then, a distribution test network is probed in simulation cases with different DG penetration levels, showing the efficiency of the proposed optimization method. Results show the importance of protective devices and DG in enhancing system reliability and reducing the energy not supplied to customers.

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A novel practical method for simultaneous placement of switching and protective devices considering load uncertainty

Yari

Shakarami

Namdari

et al. 2019

Int Trans Electr Energ Syst

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Summary A smart distribution system should be able to restore interrupted customers as quickly as possible after outages. By optimal allocation of switching and protective devices, it is possible to enhance the reliability and increase the restoration capacity of the loads after an outage. In this paper, by taking into account uncertainty in the load data, a novel practical method for the simultaneous planning of optimum location of switching devices including tie‐lines and remote‐control switches (RCSs), fault indicators, and cut‐out fuses is proposed. In this paper, a method for minimization of the costs associated with equipment investment and interruption cost has been proposed. Practical parameters such as geographical position and conditions of the understudy network and feeders, and the configuration and possible constraints of the real network from the experts' viewpoint, have been considered in this study. The actual characteristics of the network are extracted by utilizing the analytical hierarchical process (AHP), the geographic information system (GIS) data, and the event recording software. To optimize the problem, the multi‐objective nondominated sorting genetic algorithm II (NSGAII) is employed. The efficacy of the proposed method is proved through simulation of a real medium‐voltage (MV) feeder.

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Optimised placement of control and protective devices in electric distribution systems through reactive tabu search algorithm

Cited by 75 publications

References 13 publications

Optimized Switch Allocation to Improve the Restoration Energy in Distribution Systems

Optimized Switch Allocation to Improve the Restoration Energy in Distribution Systems

Optimization of Recloser Placement in DG-Enhanced Distribution Networks Using a Multi-objective Optimization Approach

A novel practical method for simultaneous placement of switching and protective devices considering load uncertainty

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