Switch Allocation Problems in Power Distribution Systems

Assis, Laura Silva de; González, José Federico Vizcaı ́no; Usberti, Fábio Luiz; Filho, Christiano Lyra; Cavellucci, Celso; Zuben, Fernando J. Von

doi:10.1109/tpwrs.2014.2322811

Cited by 80 publications

(63 citation statements)

References 22 publications

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“…Take the interruption time of substation 1 as an example to elaborate the linearization method of the failure time presented in Section II. Eqns (13) and (14) in the Section II can be rewritten as…”

Section: Discussionmentioning

confidence: 99%

“…The lim AIDI S can be determined by the DSO, meanwhile the value should be in the range between the minimum and the maximum of SAIDI so that the problem is feasible. The range can be calculated by the method proposed in [14]. EIC C and () AIDI S X are related to the outage duration which is highly dependent on the locations of smart substations that can perform automatic fault isolation and power restoration through a neighboring feeder.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…The section concept is introduced in [14], and the candidate faulty lines are confined in a certain section. Thus, in this part, an optimal fault clearing model is developed to minimize the EENS for any section z, and described as,…”

Section: B Fault Clearing Modelmentioning

confidence: 99%

“…In [13], the optimal placement problem of remote-controlled switches is formulated as a weighed set-cover problem and with the objective of minimizing the total number of switches in selected basic switch groups and extended switch groups. In [14], the minimum cost of energy not supplied is achieved under reliability and flow capacity constraints, and the optimal allocation of switches is solved by the memetic algorithm. The optimal number and location of remote-controlled sectionalizing switches are optimized simultaneously in [15,16], however the reliability index is not considered.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Allocation of Smart Substations in a Distribution System Considering Interruption Costs of Customers

Sun

You

et al. 2018

IEEE Trans. Smart Grid

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Abstract-One of the major functions of a smart substation (SS) is to restore power supply to interrupted customers as quickly as possible after an outage. The high cost of a smart substation limits its widespread utilization. In this paper, a smart substation allocation model (SSAM) to determine the optimal number and allocation of smart substations in a given distribution system is presented, with the upgrade costs of substations and the interruption costs of customers taken into account. Besides, the reliability criterion is also properly considered in the model. By linearization strategies, the SSAM is simplified into a mixed integer linear programming problem which could be solved efficiently with commercial solvers. Finally, the performance of the proposed methodology is demonstrated by the standard RBTS-BUS 4 test system and a medium voltage power distribution system in Denmark.

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Section: Discussionmentioning

confidence: 99%

Section: Mathematical Modelmentioning

confidence: 99%

Section: B Fault Clearing Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Allocation of Smart Substations in a Distribution System Considering Interruption Costs of Customers

Sun

You

et al. 2018

IEEE Trans. Smart Grid

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“…An iterated sample construction with path relinking method has been adopted by Benavides et al [14] and applied to switch allocation in electrical distribution networks. Assis et al [15] proposed an optimisation methodology to allocate switches on radially operated distribution networks considering sectionalising and tie switches of different capacities, with manual or automatic operation schemes. Many studies have focused on network reconfiguration [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Optimal allocation of distributed generation and remote control switches for reliability enhancement of a radial distribution system using oppositional differential search algorithm

Ray¹,

Bhattacharya²,

Bhattacharjee³

2015

J. eng.

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Reliability enhancement of power distribution system has attained much significance in the present competitive electricity market. Accordingly, methodologies to assess and improve distribution system reliability are also gaining much importance. This study proposes oppositional differential search (ODS) algorithm to solve reliability optimisation problem of radial distribution system. The objective of this study is to obtain the optimum number, size and location of distributed generation as well as optimal number and location of remote control switch simultaneously in radial distribution system in order to improve system reliability at a compromised cost. A multi-objective function has been formulated here. Differential search (DS) algorithm imitates the seasonal migration behaviour of an organism in search of efficiency of food areas. Opposition-based DS (ODS) algorithm has been used here to improve the quality of solution in minimum time. The proposed opposition-based DS (ODS) algorithm utilises opposition-based learning for Superorganism initialisation and also for iteration wise update operation. Simulation results obtained by ODS algorithm have been compared with that of DS algorithm and differential evolutionary algorithm. Simulation results reveal that ODS algorithm provides considerably superior performance, in terms of quality of solution obtained and computational efficiency.

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Memetic Algorithms: A Contemporary Introduction

Cotta

Gallardo

Mathieson

et al. 2016

Wiley Encyclopedia of Electrical and Electronics Engineering

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Memetic algorithms (MAs) constitute a search and optimization paradigm based on the orchestrated interplay between global and local search components, and have the exploitation of specific problem knowledge as one of their central tenets. MAs can take different forms although a classical incarnation involves the integration of independent search processes within a population‐based optimization approach. We discuss this basic structure as well as several of the issues arising in the design process. This paves the way for providing a glimpse of some algorithmic extensions of this basic scheme. After providing an overview of the numerous practical applications of MAs, we close this article with some current perspectives of these techniques.

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Switch Allocation Problems in Power Distribution Systems

Cited by 80 publications

References 22 publications

Optimal Allocation of Smart Substations in a Distribution System Considering Interruption Costs of Customers

Optimal Allocation of Smart Substations in a Distribution System Considering Interruption Costs of Customers

Optimal allocation of distributed generation and remote control switches for reliability enhancement of a radial distribution system using oppositional differential search algorithm

Memetic Algorithms: A Contemporary Introduction

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