Review of dynamic line rating systems for wind power integration

Wang, 2015, Delinking indicators on regional industry development and carbon emissions: Beijing–Tianjin–Hebei economic band case, Ecol Indic, 48, 41, 10.1016/j.ecolind.2014.07.035 Zhang, 2003, Why did the energy intensity fall in China’s industrial sector in the 1990s? The relative importance of structural change and intensity change, Energy Econ, 25, 625, 10.1016/S0140-9883(03)00042-2 Wang, 2012, An empirical research on the influencing factors of regional CO2 emission: evidence from Beijing city, China, Appl Energy, 107, 451 Blesl, 2007, Role of energy efficiency standards in reducing CO2 emissions in Germany: an assessment with TIMES, Energy Pol, 35, 772, 10.1016/j.enpol.2006.05.013 Wang, 2012, Regional total factor energy efficiency: an empirical analysis of industrial sector in China, Appl Energy, 97, 115, 10.1016/j.apenergy.2011.12.071 Wang, 2014, Strategies for addressing climate change on the industrial level: affecting factors to CO2 emissions of energy intensive industries in China, Nat Hazards, 75, 303, 10.1007/s11069-014-1115-6 Blackman A, Morgenstern R., Montealegre L., Murcia L., and García J. (2006). Review of the efficiency and effectiveness of Colombia׳s environmental policies. An RFF Report. Bentzen, 2004, Estimating the rebound effect in U.S manufacturing energy consumption, Energy Econ, 26, 123, 10.1016/S0140-9883(03)00047-1 Wang, 2014, Direct rebound effect on urban residential electricity use: an empirical study in China, Renew Sustain Energy Rev, 30, 124, 10.1016/j.rser.2013.09.002 Jin, 2007, The effectiveness of energy efficiency improvement in a developing country: rebound effect of residential electricity use in South Korea, Energy Pol, 35, 5622, 10.1016/j.enpol.2007.05.028 Zhang, 2014, Inter-firm collaborations on carbon emission reduction within industrial chains in China: practices, drivers and effects on firms׳ performances, Energy Econ, 42, 115, 10.1016/j.eneco.2013.12.006 Sorrell, 2008, The rebound effect: microeconomic definitions, limitations and extensions, Ecol Econ, 65, 636, 10.1016/j.ecolecon.2007.08.013 Wang, 2014, An empirical analysis of China׳s energy efficiency from both static and dynamic perspectives, Energy, 74, 322, 10.1016/j.energy.2014.06.082 European Commission, “European SmartGrids Technology Platform” 2006. L. Castro, A. Filgueira, M A. Seijo, E. Muñoz, L. Piegiari, It is economically possible repowering Wind Farms. A general analysis in Spain, ICREPQ, Gran Canaria-Spain, 2011. A. Filgueira, M A. Seijo, E. Muñoz, L. Castro, L. Piegiari, Technical and economic study of two repowered wind farms in Bustelo and San Xoán, 24.7MW and 15.84MW respectively. In: Proceedings of the international conference on clean electrical power, Capri (Italy), 2009. Ten-Year Network Development Plan 2014, European Network of Transmission System Operators for Electricity ENTSOE, 2014. TO. Seppa, Increasing transmission capacity by real time monitoring. In: Proceedings of the IEEE PES winter meeting. ,New York, USA, 2002, p. 1208–1211. CIGRE Brochure 299, Guide for selection of weather parameters for bare overhead conductor ratings, 2006. Dino, 2009, Dynamic transmission line rating: technology review, Tech Rep L.F. Ochoa, L.C. Cradden, G.H. Harrison, Demonstrating the capacity benefits of dynamic ratings in smarter distribution networks. In: Proceedings of the IEEE/PES conference on innovative smart grid technologies (ISGT), 2010. J.K. Raniga, R.K. Rayadu, Dynamic rating of transmission lines – a New Zeland experience. In: Proceedings of the IEEE power engineering society winter meeting, IEEE. Vol. 4, 23–27 January 2000, p. 2403–2409. T. Ringelband, M. Lange, M. Dietrich, HJ. Haubrich, Potential of improved wind integration by dynamic thermal rating of overhead Lines. IEEE Powertech. Laussane, 2009. T. Yip, C.AN, G. Lloyd, M. Aten, B. Ferris, Dynamic line rating protection for wind farm connections. In: Proceedings of the integration of wide-scale renewable resources into the power delivery system, 2009 CIGRE/IEEE PES Joint Symposium. 29–31 July, Calgary – Canadian. 2009, p. 1–5. AK. Kazerooni, J. Mutale, M. Perry, S. Venkatesan, D. Morrice, Dynamic thermal rating application to facilitate wind energy integration. In: Proceedings of the IEEE Power Tech Conference. Trondheim, Norway, 2011. N. Etherden, MHJ. Bollen, Increasing the hosting capacity of distribution networks by curtailment of renewable energy resources. In: Proceedings of the IEEE Power Tech Conference. Trondheim, Norway, 2011. P. Pytlak, P. Musilek, J. Doucet, Using dynamic thermal rating systems to reduce power generation emissions. In: Proceedings of the IEEE Power and Energy Society General Meeting. 2011. Matus, 2012, Identification of critical spans for monitoring system in dynamic thermal rating, IEEE Trans Power Deliv, 27, 10.1109/TPWRD.2012.2185254 Albizu, 2011, Influence of the conductor temperature error on the overhcead line ampacity monitoring systems, IET Gener Trans Distrib, 5, 440, 10.1049/iet-gtd.2010.0470 Guide for Application of Direct Real-Time Monitoring Systems. CIGRÉ B2-36 Brochure (Ref. No. 498). 2012. IEEE Standard 738-2006. IEEE standard for calculating the current–temperature relationship of bare overhead conductors. 2006. CIGRE Technical Brochure 207. Thermal Behaviour of Overhead Conductors. Working Group 22.12. 2002. Steeley, 1991, Ambient temperature corrected dynamic transmission line ratings at TWO PG&E location, IEEE Trans Power Deliv, 6, 10.1109/61.85872 Douglass, 1996, Real-time monitoring and dynamic thermal rating of power transmission circuits, IEEE Trans Power Deliv, 11, 10.1109/61.517499 Douglas, 1997, Field application of a dynamic thermal circuit rating method, IEEE Trans Power Deliv, 12 Wook, 1997, Line-rating system boosts economical energy transfer, IEEE Comput Appl Power, 10, 34 Soto, 1998 Ciniglio, 2004, Optimizing transmission path utilisation in Idahopower, IEEE Trans Power Deliv, 19, 830, 10.1109/TPWRD.2003.823186 E. Di Bartolomeo, G. Bruno, S. Tricoli, G. Pirovano, S. Chiarello, D. Mezzani, Increasing capacity of two Italian lines by the adoption of devices for monitoring environmental conditions and conductors temperature or by using high-temperature conductor. In: Proceedings of the CIGRÉ biennial session B2-102. Paris, August 2008. HJ. Dräger, D. Hussels, R. Puffer, Development and implementation of a monitoring-system to increase the capacity of overhead lines. In: Proceedings of the CIGRÉ biennial session B2-101. Paris, August 2008. M. Muhr, S. Pack, S. Jaufer, W. Haimbl, A. Messner, experiences with weather parameter method for the use in overhead line monitoring systems. In: Proceedings of the CIGRÉ biennial session B2-105. Paris, August 2008. J. Black, S. Connor and J. Colandairaj, Planning network reinforcements with dynamic line ratings for overhead transmission lines. In: Proceedings of the 45th international universities׳ power engineering conference (UPEC 2010). Cardiff, Wales, UK. 31stAug – 3rd Sptember, 2010. J. Black, J. Colandairaj, S. Connor and, B. O´Sullivan, Equipment and methodology for the planning and implementation of dynamic line ratings on overhead transmission circuits, Modern electric Power systems, Wroclaw–Poland. 2010. 〈http://www.meps10.pwr.wroc.pl〉 SCE, Jupe, D. Kadar, G. Murphy, MG. Bartlett and KT. Jackson, Application of a dynamic thermal rating system to a 132kV Distribution Network. In: Proceedings of the 2nd IEEE PES international conference and exhibition on innovative smart grid technologies (ISGT Europe). 5–7 December 2011. p. 1–8. R. Bernardo, A. Coelho, N. Diogo, Increasing the operation efficiency of EDP DISTRIBUIÇÃO overhead power lines. In: Proceedings of the 21st international conference and exhibition on electricity distribution (CIRED 2011). Frankfurt, 2011. Puffer, 2012 Gentle, 2012 SP energy networks, implementation of real-time thermal ratings. 2013. 〈http://www.pike.com/EnergySolutions/ThermalRate/Default.aspx〉; 2014 [accessed 08.14]. Douglass, 1999, Field studies of dynamic thermal rating methods for overhead lines, IEEE Trans Distrib Conf, 2, 842 DC. Lawry, JR. Daconti, Overhead line thermal rating calculation based on conductor replica method. In: Proceedings of the IEEE PES T&D conference and exposition, Dallas, USA, 2003. p. 880–85 Daconti, 2003, Increasing power transfer capability of existing transmission lines, IEEE PES Trans Distrib Conf Expos, 3, 1004 J. Ausen, BF. Fitzgerald, EA. Gust, DC. Lawry, JP. Lazar and RL. Oye, Dynamic thermal rating system relieves transmission constraint. In: Proceedings of the ESMO 2006, IEEE 11th international conference transactions & distribution construction, operation and live-line maintenance. 15–19 October 2006. www.usi-power.com; 2014 [accessed August. 2014]. JS. Engelhardt, SP. Basu, Design, installation, and field experience with an overhead transmission dynamic line rating system. In: Proceedings of the IEEE PES transmission and distribution conference. Los Angeles, California. September 15-20 1996. p. 366–370. Foss, 1983, Dynamic thermal line ratings. Part II. Conductor temperature sensor and laboratory field test evaluation, IEEE Trans Power Appl Syst., 102, 1865, 10.1109/TPAS.1983.317796 CAM. Nascimento and JMC. Brito, EB. Giudice Filho, GE. Braga, GC. Miranda, AQ. Bracarense and S. Ueda, The state of the art for increased overhead line ampacity utilizing new technologies and statistical criteria, 2004. In: Proceedings of the IEEE/PES transactions & distribution conference & exposition: Latin America, 8-11 November. 2004. p 464–469. A. Michiorri, R. Currie, P. Taylor, F. Watson, D. Macleman, Dynamic line ratings deployment on the Orkney smart grid. In: Proceedings of the CIRED 21st international conference on the Orkney smart grid, Paper 1245, Franfurt 6-9 June 2011. Yip, 2010, Field experiences with dynamic line rating protection, Dev Power Syst Protect http://www.arteche.com/es/productos-y-soluciones/categoria/sensor-de-medida-de-temperatura-lineas-at-accessed; [August 2014]. Pytlak, 2011, Modelling precipitation cooling of overhead conductors, Electr Power Syst Res, 81, 2147, 10.1016/j.epsr.2011.06.004 A. Madrazo, A. Gonzalez, R. Martínez, M. Mañana, E. Hervás, A. Arroyo, PB. Castro and D. Silió, Increasing grid integration of wind energy by using ampacity techniques. In: Proceedings of the international conference on renewable energies and power quality (ICERPQ׳13), No. 11, March 2013. E. Fernandez, I. Albizu, MT. Bedialauneta, S. de Arriba, AJ. Mazon, System for ampacity monitoring and low sag overhead conductor evaluation, In: Proceedings of the 16th IEEE mediterranean electrotechnical conference (MELECON), Yasmine Hammamet, 2012. p. 237–240. 〈http://www.gedigitalenergy.com/multilin/catalog/fmc.htm〉; [accessed August. 2014]. L. McClean, L. Bryans, J. Colandairaj, B. Fox, B. O’Sullivan, Equipment and methodology for linking overhead line circuit ratings to the output of nearby windfarms, universities power engineering conference. 2008. www.otlm.eu, accessed August 2014. M. Gabrovšek, and V. Lovrencic, Temperature monitoring of overhead lines (OHL) is smart grid solution for power grid. In: Proceedings of the conferinta retele energetic inteligente, Smart Grid, SIBIU, 21–23 September 2010. M. Gabrovšek, M. Kovac, V. Lovrencic, J. Kosmac, G. L. Jericek A. Souvent, Dynamic thermal line rating in Slovenia, In: Proceedings of the international conference on condition monitoring, diagnosis and maintenance–CMDM 2011 (177), 2011. p. 1– 5. SA. Gal, MN. Oltean, L. Brabete, I. Rodean, M. Opincaru, On-line monitoring of OHL conductor temperature; live-line installation. In: Proceedings of the IEEE PES 12th international conference on transmission and distribution construction, operation and live-line maintenance (ESMO). Bucharest, Romania, May 2011. p. 1–6, 16–19. www.lindsey-usa.com; [accessed August 2014]. www.ohtlgrid.com; [accessed August 2014]. S. Kupke, Pilot project-High temperature low sag conductors. CIGRE WG B2.42. Stockholm–Sweden, 2010. C. Bernauer, H. Böhme, S. Grossmann, et al., Temperature measurement on overhead transmission lines (OHTL) utilizing surface acoustic wave (SAW) sensors, In: Proceedings of the International Conference on Electricity Distribution CIRED. Vienna, Austria, 2007. www.ribe.de; [accessed august 2014]. M. Weibel K. Imhof, W. Sattinger, U. Steinegger, M. Zima, G. Biedenbach, Overhead line temperature monitoring pilot project. The CIGRÉ biennial session B2-311. Paris, August 2006. R. Terminova, V. Hinrichsen, J. Freese, C. Neumann, R. Bebensee, M. Hudasch, M. Weibel and T. Hartkopf, New approach to overhead line conductor temperature measurement by passive remote surface acoustic wave sensor. The CIGRÉ biennial session B2-304. Paris, August 2006. C. Bernauer, H. Böhme, V. Hinrichsen, et al., New method of temperature measurement of overhead transmission lines (OHTLs) utilizing surface acoustic wave (SAW) sensors. In: Proceedings of the XV international symposium on high voltage engineering. Ljubljana, Slovenia, 2007. HLM. Boot, FH. de Wild, AH. van der Wey, G. Biedenbach, Overhead line local and distributed conductor temperature measurement techniques, models and experience at TZH. CIGRÉ Session. 22–205, Paris–France, 2002. Nandi, 2003, Intelligent conductor system takes its own temperature, Trans Distrib World, 58 S. Jones, G. Bucea, A. McAlpine, M. Nakanishi, S. Mashio, H. Komeda, A. Jinno, Condition monitoring system for transGrid 330kV power cable, International Conference on Power System Technology – POWERCON, Singapore, 21–24 November, 2004. 〈http://www.twenties-project.eu/node/1〉; [accessed august 2014]. FVB.de Nazáre, MM. Werneck, Development of a monitoring system to improve ampacity in 138kv transmission lines using photonic technology. In: Proceedings of the IEEE PES transmission and distribution conference and exposition. New Orleans, 2010. FVB.de Nazáre, MM. Werneck, Temperature and Current monitoring system for transmission lines using power-over-fiber technology. In: Proceedings of the IEEE instrumentation and measurement technology conference (I2MTC). Austin, 2010. de Nazáre, 2012, Hybrid optoelectronic sensor for current and temperature monitoring in overhead transmission lines, IEEE Sens J, 12, 10.1109/JSEN.2011.2163709 Luo, 2013, Development of optical fiber sensors based on Brillouin scattering and fbg for on-line monitoring in overhead transmission lines, J Lightwave Technol, 31, 10.1109/JLT.2013.2252882 S. Berjozkina, A. Sauhats, A. Banga, I. Jacusevics, Testing thermal rating methods for the overhead high voltage line. In: Proceedings of the international conference on environment and electrical engineering. Wroclaw–Poland, 2013. p. 215–220. Y. Yang, D. Divan, RG. Harley TG. Habetler, Power line sensornet–a new concept for power grid monitoring. In: Proceedings of the IEEE power engineering society general meeting. 2006. Moghe, 2012, Smart stick-on sensors for the smart grid, IEEE Trans Smart Grid, 3, 10.1109/TSG.2011.2166280 Ghafourian, 2013, Wireless overhead line temperature sensor based on RF cavity resonance, Smart Mater Struct, 22, 10.1088/0964-1726/22/7/075010 Foss, 1988, Efect of variability in weather conditions on conductor temperature and the dynamic rating of transmission lines, IEEE Trans Power Deliv, 3, 10.1109/61.193990 Callahan, 1988, An experimental evaluation of a thermal line uprating by conductor temperature and weather monitoring, IEEE Trans Power Deliv, 3, 10.1109/61.194006 Foss, 1990, Dynamic line rating in the operation environment, IEEE Trans Power Deliv, 5, 10.1109/61.53127 M. Youssef, A new method for temperature measurement of overhead conductors. In: Proceedings of the IEEE instrumentation and measurement technology conference. Budapest, Hungary, May 21-23, 2001. Yi Yang, RG. Harley, D. Divan, TG. Habetler, MLPN based parameter estimation to evaluate overhead power line dynamic thermal rating. In: Proceedings of the 15th international conference on intelligent system applications to power systems. Curitiba 2009. Yi Yang, RG. Harley, D. Divan, TG. Habetler, Thermal modelling and real time overload capacity prediction of overhead power lines. In: Proceedings of the IEEE international symposium on diagnostics for electric machines, power electronics and drives. 2009. Yang, 2009, Adaptive echo state network to maximize overhead power line dynamic thermal rating, IEEE Energy Convers Congr Expos RTTR system integration specifications, Responsible Partner Red Eléctrica, WP#14, Task 14.1. Deliverable 14.1. version 01, June 2011. 〈http://www.twenties-project.eu/sites/default/files/private/D14.1_RTTR%20system%20Especification_v0.1.pdf〉 〈http://www.otlm.eu/en/system/〉; [accessed august 2014]. A. Bergstrom, U. Axelsson, V. Neimane, Dynamic capacity rating for wind cooled overhead lines. In: Proceedings of the 22nd international conference and exhibition on electricity distribution (CIRED 2013). Stockholm, 2013. S. Fernandez, G. Gonzalez, G. Juberias, L. Martínez, M. Escribano, J. Iglesias, P. Albi, U. Búrdalo, A. Muñíz, S Kwik, Dynamic assessment of overhead line capacity for integrating renewable energy into the transmission grid. CIGRE session, Paper B2-207, Paris, 2014. TO. Seppa, HW. Adams, DA. Douglass, et al., Use of on-line tension monitoring for real-time thermal ratings, ice loads and other environmental effects. In: Proceedings of the CIGRE´ session, Paris, France, 1998. p. 22–102. 〈http://www.nexans.us/eservice/US-en_US/navigate_206113/The_Valley_Group_Dynamic_Line_Ratings.html〉; [accessed august 2014]. Seppa, 1993, Summer thermal capabilities of transmission lines in northern california based on a comprehensive study of wind conditions, IEEE Trans Power Deliv, 8, 10.1109/61.252681 Seppa, 1993, A Practical Approach for Increasing the Thermal Capabilities of Transmission Lines, IEEE Trans Power Deliv, 8, 10.1109/61.252680 Seppa, 1995, Accurate ampacity determination: temperature–SAG model for operation real time ratings, IEEE Trans Power Deliv, 10, 10.1109/61.400930 TO. Seppa, S. Damsgaard-Mikkelsen; M. Clements; R. Payne and N. Coad, Application of real time thermal ratings for optimizing transmission line investiment and operation decisions. The CIGRÉ Biennial Session. Paris, August 2000. I. Albizu, E. Fernandez, A.J. Mazon, J. Bengoechea, E. Torres, Hardware and software architecture for overhead line rating monitoring IEEE Power Tech Conference. Trondheim, Noruega, 2011. Albizu, 2013, Tension and ampacity monitoring system for overhead lines, IEEE Trans Power Deliv, 28, 3, 10.1109/TPWRD.2012.2213308 L. Davis and W. Torre, Strategic energy reserch – dynamic circuit thermal line, california energy commission. The Public interest energy research (PIER). October, 1999. Web site at: 〈http://www.energy.ca.gov/research/index.html〉 DA. Douglass, Y. Motlis and TO. Seppa, IEEE´S approach for increasing transmission line ratings in North America. The CIGRÉ Biennial Session. Paris, August 2000. DJ. Spoor and JP. Roberts, Development and experimental validation of a weather-based dynamic line rating system. Innovative smart grid technologies Asia (ISGT), IEEE PES, 13-16 November, 2011. MJ. Mannala, OH. Souza Jr. and A. Melek, Monitoramento de altura de Segurança para Cálculo de Ampacidade de Linhas de Transmissão em Tempo Real, 9° Congresso Latino Americano De Geração E Transmissão De Energia Eletrica–CLAGTEE 2011. Mar del Plata – Argentina, 2011. H. Zhimin and L. YaDong, The field application analysis of dynamic line rating system based on tension monitoring. In: Proceedings of the IEEE power engineering and automation conference (PEAM). 2011. p. 284–288. Oncor electric delivery smart grid programme, dynamic line rating, 2013. Forbes, 2002, Finding hidden capacity in transmission lines, Trans Distrib World, 54, 9 〈http://www.edmlink.com/line-rating.html〉; [accessed august 2014]. JL. Lilien, S. Guérard, J. Destiné, CSL (Liège Space Centre) and E. Cloet, microsystems array for live high voltage lines monitoring. The CIGRÉ biennial session B2-302. Paris, August 2006. E. Cloet, JL. Lilien, P. Ferrieres, Experiences of the Belgian and French TSOs using the “Ampacimon” real-time. The CIGRÉ biennial session C2_106_2010. Paris, August 2010. 〈http://www.ampacimon.com〉; [accessed august 2014]. E. Cloet, Elia, JL. Lilien, uprating transmission lines through the use of an innovative real-time monitoring system, IEEE power & energy society, ESMO conference. In: Proceedings of the IEEE PES 12th international conference on transmission and distribution construction, operation and live-line maintenance, providence, Rhodes Island, 16-19 May 2011. P. Schell, L. Jones, P. Mack, B. Godard, and JL. Lilien, Dynamic prediction of energy delivery capacity of power networks: unlocking the value of real-time measurements, IEEE PES. 〈http://www.prometheandevices.com/〉; [accessed august 2014]. SJ. Syracuse, PG. Halverson, CV. Barlow, AW. Hernandez, Non-contact, real-time sensor system for accurate, secure, wireless monitoring of critical HV transmission line operating parameters, In: Proceedings of the IEEE PES joint technical committee meeting: TP&C Subcommittee, Atlanta, Georgia, 2009. GT. Heydt, Prospects for dynamic transmission circuit ratings. In: Proceedings of the IEEE international symposium circuits and systems, ISCAS 2001. 3. Vol.2. Sydney, 2001. p. 205–208. Mensah-Bonsu, 2002, Application of the global positioning system to the measurement of overhead power transmission conductor sag, IEEE Trans Power Deliv, 17, 273, 10.1109/61.974218 A. Stewart; A. Pandey and N. Hurt, Development of a Real-time Monitoring/Dynamic Rating system for Overhead Lines. California Energy Commission. Prepared by: EDM International Inc. The Public Interest Energy Research (PIER). December, 2003. Web site at: http://www.energy.ca.gov/reports/2004-04-02_500-04-003.PDF KUL, Ulg, and Elia, Algorithms for power flow controlling devices (phase shifters) and line capacity prediction, Deliverable D7.2 Work Package: 7, Task: Task 7.2, Revision: 01, Revision Date: 06.06.2011. 〈http://www.twenties-project.eu/sites/default/files/Deliverable%20D7%202_Public.pdf〉 P. Schell, B. Godard, V. De Wilde, O. Durieux, et al., Large penetration of distributed productions: dynamic line rating and flexible generation, a must regarding investment strategy and network reliability. Integration of renewables into the distribution grid, CIRED 2012 Workshop. Lisbon, 2012. HM. Nguyen, JL. Lilien, P. Schell, Dynamic line rating and ampacity forecasting as the keys to optimise power line assets with the integration of RES. The european project twenties demonstration inside central western Europe. In: Proceedings of the 22nd international conference and exhibition on electricity distribution (CIRED 2013). Stockholm, 2013. H.M. Nguyen, J.J. Lambin, F. Vassort, J.L. Lilien, Operational experience with dynamic line rating forecast-based solutions to increase usable network transfer capacity, CIGRE Session. Paper C2-103. Paris, 2014. J. Cunningham and J. Colandairaj, Methodology for applying real-time ratings to wood pole supported overhead lines. In: Proceedings of the 44th international universities power engineering conference (UPEC). Glasgow, September 2009. p. 1–5. A. McLaughlin, M. Alshamali, J. Colandairaj, S. Connor, Application of dynamic line rating to defer transmission network reinforcement due to wind generation. In: Proceedings of the 46th international universities׳ power engineering conference–UPEC. Soest, Germany, September 2011 J. Fu, S. Abdelkader, Integration of wind power into existing transmission newtork by dynamic overhead line rating. In: Proceedings of the 11th international workshop on large-scale integration of wind power into power systems. 2011. J. Fu, DJ. Morrow, S. Abdelkader, B. Fox, Impact of dynamic line rating on power systems. In: Proceedings of the 46th international universities׳ power engineering conference–UPEC. Soest, Germany, September 2011. J. Fu, S Abbott, B Fox, DJ Morrow, S Abdelkader, Wind cooling effect on dynamic overhead line ratings. In: Proceedings of the 45th international universities׳ power engineering conference–UPEC. 2010. S. Abdelkader, D. J. Morrow, J. Fu and S. Abbott, Field measurement based pls model for dynamic rating of overhead lines in wind intensive areas. In: Proceedings of the international conference on renewable energies and power quality (ICREPQ’13). Bilbao, Spain, March 2013. T. Yip, M. Aten,. B. Ferris, GJ. Lloyd, AN. Chang, Dynamic line rating protection for wind farm connections. In: Proceedings of the 20th international conference and exhibition on electricity distribution–Part 1, CIRED. 2009. M. Aten, R. Ferris, Dynamic line rating protection for wind farms overview of project. In: Proceedings of the IET conference on substation technology 2009: analysing the strategic and practical issues of modern substation. 2009. D. Roberts, P. Taylor, A. Michiorri, Dynamic thermal rating for increasing network capacity and delaying network reinforcements. In: Proceedings of the CIRED seminar 2008: smartgrids for distribution Frankfurt. June 2008. R. Currie, D. Macleman, G. Mclorn And R. Sims, Operating the Orkney smart grid: practical experience. In: Proceedings of the 21st international conference on electricity distribution. CIRED. 2011. A. Michiorri, R. Currie, P. Taylor, F. Watson, D. Macleman, Dynamic line ratings deployment on the Orkney smart grid, CIRED. Frankfurt 2011. D. Greenwood, G. Ingram, P. Taylor, A. Collinson, S. Brown, Network planning case study utilising real-time thermal ratings and computational fluid dynamics, CIRED. Stockholm, 2013. D. Waniek, U. Häger, C. Rehtanz, and E. Handschin, Influences of wind energy on the operation of transmission systems. In: Proceedings of the IEEE power and energy society general meeting–conversion and delivery of electrical energy in the 21st Century. 2008. AK. Kazerooni, J. Mutale, Network investment planning for high penetration of wind energy under demand response programme. In: Proceedings of the IEEE 11th international conference on probabilistic methods applied to power systems (PMAPS). 2010. Michiorri, 2010, Overhead line real-time rating estimation algorithm: description and validation, Proc. IMechE Part A: J. Power Energy, 224, 293, 10.1243/09576509JPE859 C. Vilacha, AF. Otero, JC. Moreira and E. Miguez, Simulation of overhead power line transfer capability in wind farms. In: Proceedings of the international conference on clean electrical power (ICCEP). 2011.