Probabilistic assessment of the impact of dispersed generation on voltage quality

作者: Martin Stfelec , Andrea Zapotocka , Petr Janecek , Eduard Janecek

DOI: 10.1109/RTUCON.2015.7343141

关键词: Seven Management and Planning ToolsImpact assessmentPerformance indicatorReliability engineeringProbabilistic logicRenewable energyQuality (business)EngineeringEnergy sourcePower (physics)

摘要: Dispersed generation sources are slowly penetrating into distribution power networks. Renewables represent the majority of newly installed energy sources, which stochastic nature. With this phenomenon, new technical challenges rising up, where appropriate impact assessment volatile dispersed on voltage quality stands for one them. Current planning tools and optimization methods mostly rely deterministic key performance indicators (KPI), assesses in a network. These may not be sufficient network with high presence uncertainty. In paper, model emphasis probabilistic description injections is described. Correlation among injection discussed consequently correlation categorized several groups. Main focus paper design Two load flow used computation introduced KPIs presented their analyzed selected test case. On case, evaluation demonstrated results analyzed.

参考文章(14)
M. Sedighizadeh, A. Rezazadeh, Using Genetic Algorithm for Distributed Generation Allocation to Reduce Losses and Improve Voltage Profile World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering. ,vol. 2, pp. 50- 55 ,(2008)
Daniel Villanueva, Andrés Feijóo, José Luis Pazos, Probabilistic Load Flow Considering Correlation between Generation, Loads and Wind Power Smart Grid and Renewable Energy. ,vol. 02, pp. 12- 20 ,(2011) , 10.4236/SGRE.2011.21002
Zhouyang Ren, Wei Yan, Xia Zhao, Yiming Li, Yu Juan, Probabilistic power flow for distribution networks with photovoltaic generators power and energy society general meeting. pp. 1- 5 ,(2013) , 10.1109/PESMG.2013.6672803
Bo Chen, Salman Mashayekh, Karen L. Butler-Purry, Deepa Kundur, Impact of cyber attacks on transient stability of smart grids with voltage support devices power and energy society general meeting. pp. 1- 5 ,(2013) , 10.1109/PESMG.2013.6672740
A. Bonfiglio, R. Procopio, F. Delfino, M. Invernizzi, G.B. Denegri, Definition and validation of key performance indicators to assess the effectiveness of “smarting actions” on a distribution network Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on. pp. 1495- 1495 ,(2013) , 10.1049/CP.2013.1262
Augusto C Rueda-Medina, John F Franco, Marcos J Rider, Antonio Padilha-Feltrin, Rubén Romero, None, A mixed-integer linear programming approach for optimal type, size and allocation of distributed generation in radial distribution systems Electric Power Systems Research. ,vol. 97, pp. 133- 143 ,(2013) , 10.1016/J.EPSR.2012.12.009
Po-Chen Chen, Reynaldo Salcedo, Qingcheng Zhu, Francisco de Leon, Dariusz Czarkowski, Zhong-Ping Jiang, Vitaly Spitsa, Zivan Zabar, Resk Ebrahem Uosef, Analysis of Voltage Profile Problems Due to the Penetration of Distributed Generation in Low-Voltage Secondary Distribution Networks IEEE Transactions on Power Delivery. ,vol. 27, pp. 2020- 2028 ,(2012) , 10.1109/TPWRD.2012.2209684
H.P. Hong, An efficient point estimate method for probabilistic analysis Reliability Engineering & System Safety. ,vol. 59, pp. 261- 267 ,(1998) , 10.1016/S0951-8320(97)00071-9
Roberto Villafafila, Samuel Galceran, Birgitte Bak-Jensen, Peiyuan Chen, Zhe Chen, Stefan Sorensen, Probabilistic assessment of wind power production on voltage profile in distribution networks international conference on electrical power quality and utilisation. pp. 1- 5 ,(2007) , 10.1109/EPQU.2007.4424123
I Pisica, C. Bulac, M. Eremia, Optimal Distributed Generation Location and Sizing Using Genetic Algorithms international conference on intelligent system applications to power systems. pp. 1- 6 ,(2009) , 10.1109/ISAP.2009.5352936