Stochastic Network Reduction Technique for Calculations of Electrical Power System Structural Reliability

Oboskalov, Vladislav; Тимашев, С. А.; Bushinskaya, A. V.; Gusev, Sergey

doi:10.1109/smrlo.2016.33

Cited by 2 publications

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“…Hence, the resilience of the urban ICIs could be used as one of the generalized independent variables of the sustainable city problem, as it allows quantitatively connecting the tangible with the intangibles. At the same time, it reveals the boundaries of this quantifiable connectedness, beyond which the relationships start to be too fuzzy [5] and uncertain. Hence, it stands for reason that management of complex urban risk may be boiled down (as a first approximation) to management of economic, environmental and physical risk for the whole urban system of the ICIs.…”

Section: Introductionmentioning

confidence: 97%

“…Urban ICI networks are also the principal source of sociotechnological hazards of the city. A point failure anywhere in the ICIs can rapidly propagate through the city with broad impacts on the citizens and the environment [5,6]. Hence, the resilience of the urban ICIs could be used as one of the generalized independent variables of the sustainable city problem, as it allows quantitatively connecting the tangible with the intangibles.…”

Section: Introductionmentioning

confidence: 99%

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Transforming Yekaterinburg into a Safe, Resilient-Smart and Sustainable City

Тимашев

Алехин

Poluyan

et al. 2018

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. The initiative (since 2014) project described in this paper is a product of a joint innovative research and implementation effort of the Civil Engineering and Architecture Institute, Ural Federal University, the Science and Engineering Centre "Reliability and Safety of Large Systems and Machines", Ural Branch Russian Academy of Sciences (both Yekaterinburg), Start-up OptiCits, Barcelona, Spain and the Old Dominion University, Norfolk, VA, USA. The project is based on using the MAICS convergent technology [1] to create a versatile multi-purpose tool for optimizing the science and art of risk based governance of resilience-smart and sustainable city infrastructure and communities operating in usual and extreme conditions. The tool being developed is tailored to the needs of the City of Yekaterinburg-the capital of the Urals Region and allegedly the third most important and vibrant city of Russia. It is also being offered to the Yekaterinburg City Administration as an every-day decision-support work-tool and addendum to the Strategic Program "Yekaterinburg 2030 -a Safe City"[2] during preparation of the city for winning and conducting the World Expo-2025. Authors believe that the findings of this research would also be useful to the Sverdlovsk Oblast cities of every size and type of communities that inhabit them, including, first and foremost, Nizhny Tagil, Kamensk Uralsky, Serov, Pervouralsk, Revda, Verkhnyaya Pyshma, multiple mono-cities et al. The project also incorporates block-chain technology, smart contracts and digital currency as an effective tool for implementing the project.

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Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Transforming Yekaterinburg into a Safe, Resilient-Smart and Sustainable City

Тимашев

Алехин

Poluyan

et al. 2018

IOP Conf. Ser.: Earth Environ. Sci.

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Fuzzy Numbers Based on Energy Indicators of Reliability Power System

AShalash¹,

ZaharinAhmad²

2016

ELELIJ

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This paper presents the approach of fuzzy numbers for reliability calculation of electrical energy indices and compared to an analytical method. In this paper, the fuzzy numbers which are represented by triangular fuzzy numbers are used to evaluate the load duration curve and the probabilities capacity generators that are in services, in term of the expected energy not supplied (EENS), loss of energy expectation (LOEE) and the energy index of the reliability (EIR). A case study based on the Malaysia distribution network (DISCO-Net) is carried out.The proposed method shows a simple implementation andthe results seem to be a good approximation to the analytical approach.

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Stochastic Network Reduction Technique for Calculations of Electrical Power System Structural Reliability

Cited by 2 publications

References 0 publications

Transforming Yekaterinburg into a Safe, Resilient-Smart and Sustainable City

Transforming Yekaterinburg into a Safe, Resilient-Smart and Sustainable City

Fuzzy Numbers Based on Energy Indicators of Reliability Power System

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