Optimal automation level of medium voltage distribution network

Popović, D. S.; Glamocic, Ljiljana R.; Nimrihter, M.D.; Tanasković, Miladin; Vukotić, Dušan; Damljanović, D.D.

doi:10.1049/cp:20051136

Cited by 7 publications

(7 citation statements)

References 4 publications

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“…The proposed methodology is the extension of the method proposed in [2]- [3] to include the unique features of a microgrid. Stockholm, 10-13 June 2013…”

Section: Proposed Methodologymentioning

confidence: 99%

“…Automation of distribution systems by using remote control is introduced in [6]- [8]. The determination of the optimal level of network automation as a complex, non-linear and discrete optimization problem of enormous dimensions is analyzed and reported in [2]- [3] and [9]. In this paper a new methodology for the determination of the optimal automation level in a microgrid is proposed based on searching different scenarios using local automation and remote control strategies in order to reduce the average outage duration per consumer, to decrease the costs due to the energy not supplied and to improve the network reliability.…”

Section: Dispatching the Generation Of The Available Dgs Andmentioning

confidence: 99%

“…Automation is a concept that is necessary to be inherited from traditional distribution network to the microgrid. In [2] and [3], different automation levels in traditional distribution systems is analyzed and described, hence, the explained methodology is extended to the microgrids in this paper. In other words, the commonly accepted and implemented methodology described in [2]- [3] is inherited to microgrids in this paper by considering the pros and cons of a microgrid automation with respect to conventional distribution systems.…”

Section: Introductionmentioning

confidence: 99%

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Optimal automation level in microgrids

Khederzadeh¹

2013

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013)

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In this paper a new methodology for determining the optimal level of automation in microgrids is proposed. In traditional distribution networks, automation is referred to the management of the fault in a more efficiently manner especially in medium voltage (MV) distribution network in order to improve the network reliability indices by reduction of average outage duration per consumer and meanwhile mitigation of the costs due to the energy not supplied. Microgrid as a subset of distribution network which is composed of a cluster of loads and paralleled DG systems in a common local area needs to inherit the concept of automation from traditional distribution. The problem of network automation in a microgrid is more complicated than conventional distribution systems, as in traditional distribution networks, the only way to restore supply is the loop automation, while in microgrids, there are so many options for load restoration by using different combinations of microsources other than the loop automation and utility grid. Hence the automation level in a microgrid is a complex, non-linear and discrete optimization problem of enormous dimensions that needs to be handled by sophisticated and heuristic optimization procedures. The proposed methodology is a scenario-based search method using local automation and remote control strategies in an individually and combinatory manner considering achievable benefits for each scenario. The proposed methodology is simulated on a sample microgrid; the results indicate the functionality of the proposed methodology for the determination of the optimal level of investments in the automation of microgrids.

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“…The proposed methodology is the extension of the method proposed in [2]- [3] to include the unique features of a microgrid. Stockholm, 10-13 June 2013…”

Section: Proposed Methodologymentioning

confidence: 99%

Section: Dispatching the Generation Of The Available Dgs Andmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal automation level in microgrids

Khederzadeh¹

2013

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013)

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“…This altogether brings to higher quality of customers power supply and increased income of the distribution utilities as important in competitive electricity market environment. The following equipment is considered within the network automation [1], [2], [3]: fault detectors with local and/or remote fault Lj. R. Glamocic is with Siemens AG, Nuremberg, 90459 Germany (email: ljiljana.glamocic@siemens.com).…”

Section: Introductionmentioning

confidence: 99%

“…Based on these facts it is obvious that there is no clear concept of automation for specific types of networks, but rather a specific solution for each single case. This imposes demand for development of appropriate algorithms for determining the optimal automation level for each particular DN [1], [2], [3].…”

Section: Introductionmentioning

confidence: 99%

Combinatory search method for determining distribution network automation

Glamocic

2011

2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies

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The paper proposes a new methodology for determining the optimal level of medium voltage (MV) distribution network (DN) automation as a part of a smart network design. The problem of the network automation is complex and discrete optimization problem of enormous dimension without possibility directly to apply appropriate optimization procedures. The proposed methodology is based on heuristic combinatory search algorithm with simultaneous consideration scenarios with different types of automation equipment: local automation and remote control. The basis of proposed method is real fault management procedure on the base of which the appropriate benefit estimation for different network automation scenarios is done. The essence of the methodology for determining optimal solution is decomposition of an optimal automation problem with different types of automation equipment to sub problems of network automation with one type of equipment. The proposed methodology has been tested on real distribution network and obtained results have proven that proposed methodology is a powerful tool for determination the optimal level of the MV DN automation.

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Planning and reliability assessment to integrate distributed automation system into distribution networks utilizing binary hybrid PSO and GSA algorithms considering uncertainties

Shafik

Chen

Rashed

2020

Int Trans Electr Energ Syst

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Summary Around the world, automation is transforming work, business, and the economy as one of the Pillars of a smart grid. The vital role behind utilizing the automation system into distribution networks is to achieve grid self‐healing and improve the reliability level. Distributed Automation (DA) can be achieved via Smart secondary substations at each load point with installed automatic sectionalize switches that need a large investment. Therefore, this paper provides a long‐term plan based on a cost/benefit study to define the optimal automation level of Distribution networks constrained with system reliability indices limits. DA planning is categorized as a non‐linear Mixed Integer optimization problem with multi‐dimensions. Hence, it is not possible to apply numerical algorithms to directly search for all possible automation scenarios. To solve that problem; Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (HPSO‐GSA) technique provides a binary‐coded procedure to handle all the controlled variables to provide the best solution within the permissible limits. The effectiveness of the proposed methodology is demonstrated by applying it to RBTS‐Bus 4 standard reliability test system considering uncertainty in Cost Damage Function (CDF), Investment Cost (IC), and Failure Rate (FR). Also, this paper study the effect of change in Depreciation ratio (DR), Load Growth (LG) rate besides; peak Load Change (LC). Finally, a reliability assessment using NEPLAN software is done for the optimal decision to enhance the technical analysis. Moreover, Distributed Generations (DG) has a significant impact on the reliability of distribution networks. Simulation results indicate that the system reliability cost is significantly reduced with adequate system reliability level, with comparative results to those in literary studies.

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Optimal automation level of medium voltage distribution network

Cited by 7 publications

References 4 publications

Optimal automation level in microgrids

Optimal automation level in microgrids

Combinatory search method for determining distribution network automation

Planning and reliability assessment to integrate distributed automation system into distribution networks utilizing binary hybrid PSO and GSA algorithms considering uncertainties

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