Impact of residential electricity tariffs with variable energy prices on low voltage grids with photovoltaic generation
暂无分享,去创建一个
Valentin Bertsch | Manuel Ruppert | Wolf Fichtner | W. Fichtner | M. Hayn | V. Bertsch | M. Ruppert | Marian Hayn
[1] Valentin Bertsch,et al. Layout Optimisation of Decentralised Energy Systems Under Uncertainty , 2013, OR.
[2] Ein Rollenmodell zur Einbindung der Endkunden in eine smarte Energiewelt , 2013 .
[3] A. Faruqui,et al. Household response to dynamic pricing of electricity: a survey of 15 experiments , 2010 .
[4] Yongxiu He,et al. Residential demand response behavior analysis based on Monte Carlo simulation: The case of Yinchuan in China , 2012 .
[5] Jean Mahseredjian,et al. Load flow calculations in distribution systems with distributed resources. A review , 2011, 2011 IEEE Power and Energy Society General Meeting.
[6] Jukka Paatero,et al. A model for generating household electricity load profiles , 2006 .
[7] J. Torriti,et al. Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy , 2012 .
[8] Mark Rylatt,et al. A simple model of domestic lighting demand , 2004 .
[9] Andrew Peacock,et al. Assessing the potential of residential demand response systems to assist in the integration of local renewable energy generation , 2014 .
[10] Barbara Borkowska,et al. Probabilistic Load Flow , 1974 .
[11] S. Conti,et al. Probabilistic load flow using Monte Carlo techniques for distribution networks with photovoltaic generators , 2007 .
[12] Igor Papic,et al. Assessment of maximum distributed generation penetration levels in low voltage networks using a probabilistic approach , 2015 .
[13] Dominik Möst,et al. Simulations in the Smart Grid Field Study MeRegioSimulationen im MeRegio Smart Grid Feldtest , 2010, it Inf. Technol..
[14] J. S. Christensen,et al. Probabilistic load flow calculation using Monte Carlo techniques for distribution network with wind turbines , 1998, 8th International Conference on Harmonics and Quality of Power. Proceedings (Cat. No.98EX227).
[15] W. Fichtner,et al. A high-resolution determination of the technical potential for residential-roof-mounted photovoltaic systems in Germany , 2014 .
[16] Wolfgang Ketter,et al. Demand side management—A simulation of household behavior under variable prices , 2011 .
[17] Shi You,et al. Indirect control for demand side management - A conceptual introduction , 2012, 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).
[18] H Markiewicz,et al. Voltage Disturbances Standard EN 50160 - Voltage Characteristics in Public Distribution Systems , 2008 .
[19] Jukka Paatero,et al. Impacts of distributed photovoltaics on network voltages: Stochastic simulations of three Swedish low-voltage distribution grids , 2010 .
[20] Rolf Witzmann,et al. Abschätzung des Photovoltaik-Potentials auf Dachflächen in Deutschland , 2010 .
[21] Guy R. Newsham,et al. The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review , 2010 .
[22] W. J. Bonwick,et al. Structural modelling of energy demand in the residential sector: 1. Development of structural models , 1997 .
[23] Tim Jackson,et al. The value of reducing distribution losses by domestic load-shifting: a network perspective , 2009 .
[24] W. El-Khattam,et al. Investigating distributed generation systems performance using Monte Carlo simulation , 2006, IEEE Transactions on Power Systems.
[25] G. Goldman,et al. A Survey of Utility Experience with Real Time Pricing , 2004 .
[26] Lennart Soder,et al. Distribution network planning with a large amount of small scale photovoltaic power , 2013, 2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).