Reliability assessment in smart distribution networks

Celli, Gianni; Ghiani, Emilio; Pilo, Fabrizio; Soma, Gian Giuseppe

doi:10.1016/j.epsr.2013.07.001

Cited by 117 publications

(55 citation statements)

References 16 publications

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“…In addition to the classical distribution reliability indices [31], the following two additional indices related to power generation, and named according to [12], have been estimated: ‚ System Average Interruption Frequency Index for DG (SAIFI DG ):…”

Section: Reliability Indicesmentioning

confidence: 99%

Reliability Analysis of Distribution Systems with Photovoltaic Generation Using a Power Flow Simulator and a Parallel Monte Carlo Approach

Martínez-Velasco

Guerra

2016

Energies

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This paper presents a Monte Carlo approach for reliability assessment of distribution systems with distributed generation using parallel computing. The calculations are carried out with a royalty-free power flow simulator, OpenDSS (Open Distribution System Simulator). The procedure has been implemented in an environment in which OpenDSS is driven from MATLAB. The test system is an overhead distribution system represented by means of a three-phase model that includes protective devices. The paper details the implemented procedure, which can be applied to systems with or without distributed generation, includes an illustrative case study and summarizes the results derived from the analysis of the test system during one year. The goal is to evaluate the test system performance considering different scenarios with different level of system automation and reconfiguration, and assess the impact that distributed photovoltaic generation can have on that performance. Several reliability indices, including those related to the impact of distributed generation, are obtained for every scenario.

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Section: Reliability Indicesmentioning

confidence: 99%

Reliability Analysis of Distribution Systems with Photovoltaic Generation Using a Power Flow Simulator and a Parallel Monte Carlo Approach

Martínez-Velasco

Guerra

2016

Energies

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“…The relevant values for the ICT components are retrieved from [7]. Finally, the weather information to assess potential impact on communication signals is based on typical weather performance for the UK.…”

Section: Reliability Datamentioning

confidence: 99%

Evaluation of reliability performance of distribution networks implementing demand response schemes

Syrri

Mancarella

2014

MedPower 2014

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Demand Response (DR) is likely to become key to power system operation and planning in the future. In this outlook, the successful deployment of any DR scheme will be facilitated by the integration of Information and Communication Technologies (ICT), enabling Distribution System Operators (DSOs) to actively manage their networks. Various DR applications have been proposed, mostly relevant to energy markets, while few studies are yet available on DR as a means to contribute to network capacity and on the relevant reliability implications. In this work, DR is proposed as a post fault contingency action to provide capacity release in distribution networks. The reliability performance of the proposed scheme is assessed through Sequential Monte Carlo Simulations (SMCS) taking into account both electrical and ICT failures. Customer Interruptions (CI) and Customers Minutes Lost (CML) are evaluated in addition to the classical load point reliability indices. DR customers are disconnected according to a priority list with the aim of not breaching network constraints after a fault occurs. As case studies, two different DR control strategies are introduced and compared based on their reliability performance for different DR availability levels.

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Section: Introductionmentioning

confidence: 99%

“…Energy storage will be required for efficiency covering the incompatibility between the renewable energy sources generation and the energy demands. Due to smart distribution networks (SDN) can accommodate all kinds of dispersed generations (DGs) and distribution storage like V2Gs, some major of power system stakeholders, such as governments are becoming encouraged to reengineering the distribution power system according to the smart grid paradigm [3].The necessity of a smooth transition from today (via progress achieved plan) toward an optimal smart energy system is authenticated in [4]. Therefore, it is necessary to consider this initiative plan as a roadmap for construction of the new distribution networks or expanding the existing networks, while this paper focuses on the expanding manner.…”

mentioning

confidence: 99%

Multistage distribution network expansion planning under smart grids environment

Nejadfard-jahromi

Rashidinejad

Abdollahi

2015

International Journal of Electrical Power & Energy Systems

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Reliability assessment in smart distribution networks

Cited by 117 publications

References 16 publications

Reliability Analysis of Distribution Systems with Photovoltaic Generation Using a Power Flow Simulator and a Parallel Monte Carlo Approach

Reliability Analysis of Distribution Systems with Photovoltaic Generation Using a Power Flow Simulator and a Parallel Monte Carlo Approach

Evaluation of reliability performance of distribution networks implementing demand response schemes

Multistage distribution network expansion planning under smart grids environment

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