An integrated systemic method for supply reliability assessment of natural gas pipeline networks
暂无分享,去创建一个
Yang Nan | Enrico Zio | Xueyi Li | Jinjun Zhang | Huai Su | Zongjie Zhang | E. Zio | Huai Su | Jinjun Zhang | Xueyi Li | Y. Nan | Zongjie Zhang
[1] Zhaohong Bie,et al. Reliability evaluation of integrated energy systems based on smart agent communication , 2016 .
[2] Shahani Kariyawasam,et al. Effective Improvements to Reliability Based Corrosion Management , 2010 .
[3] Mengmeng Yu,et al. Supply–demand balancing for power management in smart grid: A Stackelberg game approach , 2016 .
[4] Xinghuo Yu,et al. A Maximum-Flow-Based Complex Network Approach for Power System Vulnerability Analysis , 2013, IEEE Transactions on Industrial Informatics.
[5] Ana Paula Barbosa-Póvoa,et al. Resilience metrics in the assessment of complex supply-chains performance operating under demand uncertainty , 2015 .
[6] Haitao Liu,et al. Power system operational reliability evaluation based on real-time operating state , 2005, 2005 International Power Engineering Conference.
[7] Hongbin Sun,et al. An interval gas flow analysis in natural gas and electricity coupled networks considering the uncertainty of wind power , 2017 .
[8] V. Nanduri,et al. A competitive Markov decision process model for the energy–water–climate change nexus , 2013 .
[9] Michael Chertkov,et al. Cascading of Fluctuations in Interdependent Energy Infrastructures: Gas-Grid Coupling , 2014, ArXiv.
[10] R. Billinton,et al. Probabilistic assessment of power systems , 2000, Proceedings of the IEEE.
[11] J. L. Alamilla,et al. Probabilistic modelling of a corroded pressurized pipeline at inspection time , 2009 .
[12] Wenxing Zhou,et al. System reliability of corroding pipelines considering stochastic process-based models for defect growth and internal pressure , 2013 .
[13] Jianzhong Wu,et al. Topological properties of medium voltage electricity distribution networks , 2018 .
[14] Hongbin Sun,et al. Probabilistic power flow analysis considering the dependence between power and heat , 2017 .
[15] Enrico Zio,et al. Evaluation of the robustness of critical infrastructures by Hierarchical Graph representation, clustering and Monte Carlo simulation , 2016, Reliab. Eng. Syst. Saf..
[16] Michael Pecht,et al. Reliability risk mitigation of free air cooling through prognostics and health management , 2013 .
[17] Francesco Cadini,et al. A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions , 2017 .
[18] Martin Junginger,et al. Cost optimization of biofuel production – The impact of scale, integration, transport and supply chain configurations , 2017 .
[19] Nima Khakzad,et al. Using graph theory to analyze the vulnerability of process plants in the context of cascading effects , 2015, Reliab. Eng. Syst. Saf..
[20] Enrico Zio,et al. Monte Carlo approach to PSA for dynamic process systems , 1996 .
[21] Marcelo Masera,et al. Probabilistic modelling of security of supply in gas networks and evaluation of new infrastructure , 2015, Reliab. Eng. Syst. Saf..
[22] Roger Ghanem,et al. Multiscale stochastic prediction of electricity demand in smart grids using Bayesian networks , 2017 .
[23] John Psarras,et al. How does a natural gas supply interruption affect the EU gas security? A Monte Carlo simulation , 2015 .
[24] B. Hobbs,et al. A cooperative game theoretic analysis of incentives for microgrids in regulated electricity markets , 2016 .
[25] Humberto Verdejo,et al. Stochastic modeling to represent wind power generation and demand in electric power system based on real data , 2016 .
[26] Min Ouyang,et al. Review on modeling and simulation of interdependent critical infrastructure systems , 2014, Reliab. Eng. Syst. Saf..
[27] Kash Barker,et al. Flow-based vulnerability measures for network component importance: Experimentation with preparedness planning , 2016, Reliab. Eng. Syst. Saf..
[28] Yan-Fu Li,et al. A system-of-systems framework for the reliability analysis of distributed generation systems accounting for the impact of degraded communication networks , 2016 .
[29] Michihisa Koyama,et al. A scenario analysis of future energy systems based on an energy flow model represented as functionals of technology options , 2014 .
[30] Benoit Casoetto,et al. How to commercialize reliable capacities on a complex transmission network , 2011 .
[31] F. Monforti,et al. GEMFLOW: A time dependent model to assess responses to natural gas supply crises , 2011 .
[32] Enrico Zio,et al. Challenges in the vulnerability and risk analysis of critical infrastructures , 2016, Reliab. Eng. Syst. Saf..
[33] Lixin Tian,et al. A complex network perspective on interrelations and evolution features of international oil trade, 2002–2013☆ , 2017 .
[34] János Abonyi,et al. Controllability and observability in complex networks – the effect of connection types , 2017, Scientific Reports.
[35] Ming-Che Hu,et al. Stochastic–multiobjective market equilibrium analysis of a demand response program in energy market under uncertainty , 2016 .
[36] Brian N. Leis,et al. Development of an alternative failure criterion for residual strength of corrosion defects in moderate- to high-toughness pipe. Final report , 1999 .
[37] Enrico Zio,et al. The Monte Carlo Simulation Method for System Reliability and Risk Analysis , 2012 .
[38] Ole Gunnar Austvik. The Energy Union and security-of-gas supply , 2016 .
[39] Ramesh C. Bansal,et al. Probabilistic load flow for distribution systems with uncertain PV generation , 2016 .
[40] Enrico Zio,et al. Computational Methods for Reliability and Risk Analysis , 2009 .
[41] David K. Smith. Network Flows: Theory, Algorithms, and Applications , 1994 .
[42] F. Monforti,et al. A MonteCarlo approach for assessing the adequacy of the European gas transmission system under supply crisis conditions , 2010 .
[43] Zhe Chen,et al. Power System Structural Vulnerability Assessment Based on an Improved Maximum Flow Approach , 2018, IEEE Transactions on Smart Grid.
[44] Hongwen He,et al. An energy management strategy based on stochastic model predictive control for plug-in hybrid electric buses , 2017 .
[45] Jun Zhang,et al. Stochastic production planning for a biofuel supply chain under demand and price uncertainties , 2013 .
[46] Haizhong An,et al. Evolution of the exergy flow network embodied in the global fossil energy trade: Based on complex network , 2016 .
[47] J. A. Bondy,et al. Graph Theory with Applications , 1978 .
[48] Wei-Zhen Lu,et al. The reliability and availability evaluation of repairable district heating networks under changeable external conditions , 2017 .
[49] Jay H. Lee,et al. Operational planning and optimal sizing of microgrid considering multi-scale wind uncertainty , 2017 .
[50] Mattia Frasca,et al. Complex networks for the integration of distributed energy systems in urban areas , 2017 .
[51] David J. Hill,et al. A power flow based model for the analysis of vulnerability in power networks , 2016 .
[52] Gintautas Dundulis,et al. Development of approach for reliability assessment of pipeline network systems , 2012 .
[53] Enrico Zio,et al. A locally adaptive ensemble approach for data-driven prognostics of heterogeneous fleets , 2017 .
[54] Jeremy S. Smith,et al. Multi-objective demand side scheduling considering the operational safety of appliances , 2016 .
[55] Jonas Johansson,et al. An approach for modelling interdependent infrastructures in the context of vulnerability analysis , 2010, Reliab. Eng. Syst. Saf..
[56] Enrico Zio,et al. An Introduction to the Basics of Reliability and Risk Analysis , 2007 .
[57] Ahmet Palazoglu,et al. Operational optimization and demand response of hybrid renewable energy systems , 2015 .
[58] Yris Olaya,et al. A simulation approach for analysis of short-term security of natural gas supply in Colombia , 2013 .
[59] Enrico Zio,et al. Quantitative functional failure analysis of a thermal-hydraulic passive system by means of bootstrapped Artificial Neural Networks , 2010 .
[60] Yousef Mohammadi,et al. A hybrid Genetic Algorithm and Monte Carlo simulation approach to predict hourly energy consumption and generation by a cluster of Net Zero Energy Buildings , 2016 .
[61] Enrico Zio,et al. Reliability and vulnerability analyses of critical infrastructures: Comparing two approaches in the context of power systems , 2013, Reliab. Eng. Syst. Saf..