Integrated reliability evaluation of generation, transmission and distribution systems

Silva, Armando M. Leite da; Cassula, Agnelo Marotta; Billinton, R.; Manso, Luiz A. F.

doi:10.1049/ip-gtd:20020081

Cited by 19 publications

(7 citation statements)

References 11 publications

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“…10 shows the impact of each load point and each wind speed modelling technique on the system reliability indices, namely, the SAIFI. It is noted that the impact of wind models is minimum on industrial customers (8,9,10,26,27,28,29,30,31) and maximum on the commercial customers (6,7,16,17,24,25,38).…”

Section: Reliability Analysis Of a Roy Billinton Test System (Rbts) Smentioning

confidence: 99%

“…Different measures were used to assess the impact of the wind speed models on the local and system reliability indices, namely the average interruption duration (AID), the average interruption frequency (AIF), the system AIF index (SAIFI), and the system AID index (SAIDI). These reliability measures have been explained in detail in relevant literature [30,31].…”

Section: Introductionmentioning

confidence: 99%

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Impact of wind speed modelling on the predictive reliability assessment of wind‐based microgrids

Al-Muhaini

Bizrah

Heydt

et al. 2019

IET Renewable Power Generation

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Power utilities have shown great interest in utilising renewable energy resources for various environmental and economic reasons. However, the modelling and integration of conventional and renewable resources into electric microgrids will increase the complexity of microgrid reliability analyses. Therefore, an accurate reliability assessment of power distribution systems is expected to become a major challenge in the future. More extensive research must be conducted to improve system reliability assessment techniques and determine the impact of increased penetration of renewable resources. In this work, the reliability of wind-based electric microgrids was evaluated using a Markov model, taking the intermittent nature of wind speed into account. The effects of different wind speed modelling techniques based on the auto-regressive moving average method, Markov model, and probability distribution function on the reliability analysis of electric microgrids were assessed. The Roy Billinton test system was used to illustrate the analysis and evaluate the different load and system indices.

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Section: Reliability Analysis Of a Roy Billinton Test System (Rbts) Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of wind speed modelling on the predictive reliability assessment of wind‐based microgrids

Al-Muhaini

Bizrah

Heydt

et al. 2019

IET Renewable Power Generation

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“…The reliability assessment of distribution networks may be classified into three categories: analytical methodologies, Monte Carlo simulations (MCS), and a combination of both (Billinton and Allan 1996;Billinton and Wenyuan 1994;Leite da Silva et al 2002a, 2005Allan and da Silva 1995). For the purpose of predicting reliability performance, most target indices are average values and, therefore, analytical based tools will contemplate risk assessment.…”

Section: Introductionmentioning

confidence: 99%

Reliability indices applied to performance-based mechanisms in electric power distribution systems

Silva

Nascimento

Guimaraes

et al. 2010

Int J Syst Assur Eng Manag

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Power system failures are random events and their prevention can be managed by the regulatory agencies through pre-established performance targets. Once a standard or target is established for a certain performance index, it is assumed to be the limit value that must not be overstepped or it may cause penalties for the utility. Penalty based schemes, although very popular among regulatory agencies, are very limited to provide efficient economic signals for investments in reliability. This work discusses, firstly, how reliability indices can be fully used through performance-based mechanisms to establish contracts that reward a utility for providing good reliability and/or penalize it for poor services in electric power distribution systems. These contracts can be established between the regulatory agencies and the utilities in the form of performance-based rates (PBR) and between a utility and a customer in the form of customer service disruption payments. Such mechanisms must provide incentives for those utilities that invest in improvements of their system reliability and penalize the ones that do not act the same way. This discussion is extended to cope with tariffs and possible insurances based on reliability performance, so that consumers may share the risks with utilities by paying differentiated price services. The proposed concepts, PBR methodologies, and assessment tools are applied to a small test system (IEEE-RBTS) and the results are discussed.

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“…Os resultados apontam uma redução dos indicadores de continuidade, colaborando assim na eficaz gestão do sistema elétrico e na mitigação dos prejuízos econômicos associados às interrupções de energia. [13].…”

Section: Agradecimentosunclassified

Planejamento Da Manutenção De Sistemas De Distribuição Baseado Em Índices De Confiabilidade

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Integrated reliability evaluation of generation, transmission and distribution systems

Cited by 19 publications

References 11 publications

Impact of wind speed modelling on the predictive reliability assessment of wind‐based microgrids

Impact of wind speed modelling on the predictive reliability assessment of wind‐based microgrids

Reliability indices applied to performance-based mechanisms in electric power distribution systems

Planejamento Da Manutenção De Sistemas De Distribuição Baseado Em Índices De Confiabilidade

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