An Optimal Composition and Placement of Automatic Switches in DAS

Lim, Il-Hyung; Sidhu, T.S.; Choi, Myeon-Song; Lee, S. J.; Ha, Bok-Nam

doi:10.1109/tpwrd.2013.2239314

Cited by 46 publications

(33 citation statements)

References 16 publications

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“…Advanced distribution automation planning problem has been studied in a number of valuable research. [5][6][7][8][9][10][11][12] In this manuscript, an ADA planning problem is proposed in which the EDRPs are implemented in service restoration process. The proposed ADA planning problem is formulated in this section in details.…”

Section: Problem Formulationmentioning

confidence: 99%

“…In recent years, several researches have been conducted aiming at proposing an efficient ADA planning strategy for EDNs . In Shahsavari et al, a set of control and protection actions has been presented, which is called “healer reinforcement approach,” for the ADA planning.…”

Section: Introductionmentioning

confidence: 99%

“…4 In recent years, several researches have been conducted aiming at proposing an efficient ADA planning strategy for EDNs. [5][6][7][8][9][10][11][12] In Shahsavari et al, 5 a set of control and protection actions has been presented, which is called "healer reinforcement approach," for the ADA planning. In Moradi and Fotuhi-Firuzabad, 6 a three-state approach inspired from the discrete version of a particle swarm optimization (PSO) developed to specify the optimal number and locations of sectionalizing switches and circuit breakers in EDNs.…”

Section: Introductionmentioning

confidence: 99%

“…Abiri-Jahromi et al 7 proposed an optimization approach for distribution automation in which the automatic and remotely controlled sectionalizing is allocated considering economic aspects of the ADA. In Lim et al, 8 an approach is presented for determining the optimal automatic switches composition and location, considering various EDN topologies. In Bezerra et al, 9 a multiobjective strategy is introduced aiming at optimizing the sectionalizing switches placement in the EDN using PSO method.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A stochastic formulation for distribution automation planning incorporating emergency demand response programs

Mohammadi

Soleymani

Mozafari

et al. 2019

Int Trans Electr Energ Syst

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Summary Advanced distribution automation (ADA) is a vital basis of the smart grid, which leads to enhancement of reliability level. Moreover, demand response programs are highly proposed to be employed in the smart grid. In this paper, a cross‐sectional benefit of smart grid maturity model is proposed in which the emergency demand response programs (EDRPs) are considered in the ADA planning problem. In fact, the role of EDRPs is considered in the service restoration process that affects the ADA plan. The service restoration process possesses several uncertain parameters including the demanded power of customers during service restoration, which are considered in the proposed formulation for ADA planning. The objective function of the optimization problem includes various costs imposed to the distribution system operator due to contingency occurrence including the expected total customer interruption cost, total investment cost of automatic sectionalizing switches, circuit breakers, and fuses deployment, and the total expected cost of implementing EDRP programs in the service restoration. The presented ADA planning methodology is tested on the fourth bus number of Roy Bilinton test system (RBTS4) to investigate its effectiveness.

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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

A stochastic formulation for distribution automation planning incorporating emergency demand response programs

Mohammadi

Soleymani

Mozafari

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

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“…Therefore, the placement of RCSs must take into account the functional requirements and cost benefit [67]. Usually, switch placement is formulated as a constrained nonlinear mix-integer optimization problem [67][68][69][70][71][72][73][74][75]. Heuristics, such as fuzzy logic approach [68], genetic algorithm [69], and immune algorithm [70], are used to obtain a near-optimal solution with acceptable computational performance.…”

Section: Placement Of Remote-controlled Switchesmentioning

confidence: 99%

Smart Distribution Systems

Jiang

Liu

2016

Energies

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Abstract:The increasing importance of system reliability and resilience is changing the way distribution systems are planned and operated. To achieve a distribution system self-healing against power outages, emerging technologies and devices, such as remote-controlled switches (RCSs) and smart meters, are being deployed. The higher level of automation is transforming traditional distribution systems into the smart distribution systems (SDSs) of the future. The availability of data and remote control capability in SDSs provides distribution operators with an opportunity to optimize system operation and control. In this paper, the development of SDSs and resulting benefits of enhanced system capabilities are discussed. A comprehensive survey is conducted on the state-of-the-art applications of RCSs and smart meters in SDSs. Specifically, a new method, called Temporal Causal Diagram (TCD), is used to incorporate outage notifications from smart meters for enhanced outage management. To fully utilize the fast operation of RCSs, the spanning tree search algorithm is used to develop service restoration strategies. Optimal placement of RCSs and the resulting enhancement of system reliability are discussed. Distribution system resilience with respect to extreme events is presented. Test cases are used to demonstrate the benefit of SDSs. Active management of distributed generators (DGs) is introduced. Future research in a smart distribution environment is proposed.

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A probabilistic electric power distribution automation operational planning approach considering energy storage incorporation in service restoration

Khatib‐Tohidkhaneh

Mohammadi‐Hosseininejad

Saberi

2020

Int Trans Electr Energ Syst

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Summary In this paper, a probabilistic operational planning methodology is introduced for distribution automation (DA) implementation that considers energy storages (ESs) participation in service restoration. In the proposed methodology, ESs in the faulted zone are proposed to restore their connected customers; however, ESs located in the backup feeding path—including the backup feeder and the downstream zones of the faulted zone—are proposed not only to restore their connected customers but also to assist the network operator in order to restore customers located in the downstream zones of the faulted zone through increasing the available capacity of the backup feeding path which leads to augmenting the possibility of transferring the interrupted load points to the backup feeder. In addition, uncertain parameters of the service restoration problem were considered in the proposed approach through extracting a number of valid scenarios for service restoration problem. The objective of the presented approach is minimizing the cost of reliability imposed to the network operator which consists of the total customers' damage cost, the total cost of energy not sold due to contingency occurrence, the total cost of control devices—ie, automatic sectionalizing switches—deployment, and the total cost of ESs employment in service restoration. The sensitivity of the obtained results on the value of the maximum available DA implementation budget was studied. The efficacy of the introduced approach is evaluated through implementing it on the forth bus of Roy Bilinton test system (RBTS4).

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An Optimal Composition and Placement of Automatic Switches in DAS

Cited by 46 publications

References 16 publications

A stochastic formulation for distribution automation planning incorporating emergency demand response programs

A stochastic formulation for distribution automation planning incorporating emergency demand response programs

Smart Distribution Systems

A probabilistic electric power distribution automation operational planning approach considering energy storage incorporation in service restoration

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