Operation of power distribution networks with new and flexible loads: A case of existing residential low voltage network

Energy - Tập 202 - Trang 117715 - 2020
Anna Marszal-Pomianowska1, Joakim Widén2, Jérôme Le Dréau3, Per Heiselberg1, Birgitte Bak-Jensen4, Iker Diaz de Cerio Mendaza5
1Department of the Built Environment, Aalborg University, Thomas Manns vej 23, Aalborg, 9220, Denmark
2Department of Engineering Sciences, Uppsala University, Lägerhyddsvägen 1, Uppsala, 751 21, Sweden
3LaSIE (UMR CNRS 7356) - La Rochelle University, 23 Avenue Albert Einstein, La Rochelle, 17000, France
4Department of Energy Technology, Aalborg University, Pontoppidanstræde 111, Aalborg 9220, Denmark
5Energinet.dk, Tonne Kjærsvej 65, Fredericia, 7000, Denmark

Tài liệu tham khảo

2019 Barbose, 2019 Yang, 2016, China’s renewable energy goals by 2050, Environ Dev, 20, 83, 10.1016/j.envdev.2016.10.001 The Ministry of Climate, 2018 Danmarks Statistik 2019, Denmark’s Energy and Climate Outlook, 73 Wirth, 2020 Rahimi, 2010, Smart grid paradigm, IEEE Trans Smart Grid, 1, 82, 10.1109/TSG.2010.2045906 Oconnell, 2014, Benefits and challenges of electrical demand response: a critical review, Renew Sustain Energy Rev, 39, 686, 10.1016/j.rser.2014.07.098 Palensky, 2011, Demand side management: demand response, intelligent energy systems, and smart loads, IEEE Trans Ind Informatics, 7, 381, 10.1109/TII.2011.2158841 Biegel, 2014, Value of flexible consumption in the electricity markets, Energy, 66, 354, 10.1016/j.energy.2013.12.041 Hao, 2015, Aggregate flexibility of thermostatically controlled loads, IEEE Trans Power Syst, 30, 189, 10.1109/TPWRS.2014.2328865 Jensen, 2017, IEA EBC annex 67 energy flexible buildings, Energy Build, 155, 10.1016/j.enbuild.2017.08.044 Darby, 2018, Smart electric storage heating and potential for residential demand response, Energy Effic, 11, 67, 10.1007/s12053-017-9550-3 2012 Marsh R, Larsen VG, Hacker J. Bygninger Energi Klima: mod et nyt paradigme. Hørsholm: [n.d]. 2014 Široký, 2011, Experimental analysis of model predictive control for an energy efficient building heating system, Appl Energy, 88, 3079, 10.1016/j.apenergy.2011.03.009 Tahersima, 2011, Contribution of domestic heating systems to smart grid control, Decis Contr, 3677 Hewitt, 2012, Heat pumps and energy storage - the challenges of implementation, Appl Energy, 89, 37, 10.1016/j.apenergy.2010.12.028 Arteconi, 2012, State of the art of thermal storage for demand-side management, Appl Energy, 93, 371, 10.1016/j.apenergy.2011.12.045 Hedegaard, 2012, Wind power integration using individual heat pumps - analysis of different heat storage options, Energy, 47, 284, 10.1016/j.energy.2012.09.030 Reynders, 2013, Potential of structural thermal mass for demand-side management in dwellings, Build Environ, 64, 187, 10.1016/j.buildenv.2013.03.010 Le Dréau, 2016, Energy flexibility of residential buildings using short term heat storage in the thermal mass, Energy, 111, 991, 10.1016/j.energy.2016.05.076 Pedersen, 2017, Space heating demand response potential of retrofitted residential apartment blocks, Energy Build, 141, 158, 10.1016/j.enbuild.2017.02.035 Arteconi, 2014, Analysis of control strategies for thermally activated building systems under demand side management mechanisms, Energy Build, 80, 384, 10.1016/j.enbuild.2014.05.053 Xue, 2014, An interactive building power demand management strategy for facilitating smart grid optimization, Appl Energy, 116, 297, 10.1016/j.apenergy.2013.11.064 Johra, 2017, Influence of internal thermal mass on the indoor thermal dynamics and integration of phase change materials in furniture for building energy storage: a review, Renew Sustain Energy Rev, 69, 19, 10.1016/j.rser.2016.11.145 Baeten, 2017, Reduction of heat pump induced peak electricity use and required generation capacity through thermal energy storage and demand response, Appl Energy, 195, 184, 10.1016/j.apenergy.2017.03.055 Arteconi, 2016, Active demand response with electric heating systems: impact of market penetration, Appl Energy, 177, 636, 10.1016/j.apenergy.2016.05.146 Corbin, 2017, Predictive control of residential HVAC and its impact on the grid. Part I: simulation framework and models, J Build Perform Simul, 10, 294, 10.1080/19401493.2016.1231220 Fischer, 2017, Model-based flexibility assessment of a residential heat pump pool, Energy, 118, 853, 10.1016/j.energy.2016.10.111 Widén, 2014, Improved photovoltaic self-consumption with appliance scheduling in 200 single-family buildings, Appl Energy, 126, 199, 10.1016/j.apenergy.2014.04.008 Salpakari, 2016, Optimal and rule-based control strategies for energy flexibility in buildings with PV, Appl Energy, 161, 425, 10.1016/j.apenergy.2015.10.036 Salpakari, 2017, Flexibility of electric vehicles and space heating in net zero energy houses: an optimal control model with thermal dynamics and battery degradation, Appl Energy, 190, 800, 10.1016/j.apenergy.2017.01.005 SparEnergidk Nistor, 2015, Capability of smart appliances to provide reserve services, Appl Energy, 138, 590, 10.1016/j.apenergy.2014.09.011 D’hulst, 2015, Demand response flexibility and flexibility potential of residential smart appliances: experiences from large pilot test in Belgium, Appl Energy, 155, 79, 10.1016/j.apenergy.2015.05.101 Fischer, 2017, Modeling the effects of variable tariffs on domestic electric load profiles by use of occupant behavior submodels, IEEE Trans Smart Grid, 8, 2685, 10.1109/TSG.2016.2544141 Vellei, 2020, Predicting the demand flexibility of wet appliances at national level: the case of France, Energy Build, 214, 109900, 10.1016/j.enbuild.2020.109900 De Cerio Mendaza, 2015, Flexible demand control to enhance the dynamic operation of low voltage networks, IEEE Trans Smart Grid, 6, 705, 10.1109/TSG.2014.2375894 Jiang, 2018, Flexible operation of active distribution network using integrated smart buildings with heating, ventilation and air-conditioning systems, Appl Energy, 226, 181, 10.1016/j.apenergy.2018.05.091 Iria, 2018, Optimal supply and demand bidding strategy for an aggregator of small prosumers, Appl Energy, 213, 658, 10.1016/j.apenergy.2017.09.002 Marra, 2012, Energy storage options for voltage support in low-voltage grids with high penetration of photovoltaic, IEEE PES Innov Smart Grid Technol Conf Eur, 1 Baetens, 2012, Assessing electrical bottlenecks at feeder level for residential net zero-energy buildings by integrated system simulation, Appl Energy, 96, 74, 10.1016/j.apenergy.2011.12.098 De Coninck, 2014, Rule-based demand-side management of domestic hot water production with heat pumps in zero energy neighbourhoods, J Build Perform Simul, 7, 271, 10.1080/19401493.2013.801518 Müller, 2015, Demand side management for city districts, Build Environ, 91, 283, 10.1016/j.buildenv.2015.03.026 Pillai, 2012, Integration of Electric Vehicles in low voltage Danish distribution grids, IEEE Power Energy Soc Gen Meet, 1 De Cerio Mendaza, 2014, Stochastic impact assessment of the heating and transportation systems electrification on LV grids, 1 Marszal-Pomianowska, 2019, A performance evaluation of future low voltage grids in presence of prosumers modelled in high temporal resolution, Sustain Cities Soc, 44, 702, 10.1016/j.scs.2018.11.001 Kragh, 2014, Development of two Danish building typologies for residential buildings, Energy Build, 68, 79, 10.1016/j.enbuild.2013.04.028 Nærvig-Petersen, 2005 Marszal-Pomianowska, 2016, Household electricity demand profiles - a high-resolution load model to facilitate modelling of energy flexible buildings, Energy, 103, 10.1016/j.energy.2016.02.159 Kragh, 2014, Development of two Danish building typologies for residential buildings, Energy Build, 68, 79, 10.1016/j.enbuild.2013.04.028 Wetter M, Nouidui TS, Haves P. Building controls virtual test bed (BCVTB) [n.d]. Mendaza, 2014 Grainger, 1994 Widén, 2010, Impacts of distributed photovoltaics on network voltages: stochastic simulations of three Swedish low-voltage distribution grids, Elec Power Syst Res, 80, 1562, 10.1016/j.epsr.2010.07.007 Angeli, 2012, A stochastic approach to “dynamic-demand refrigerator control, IEEE Trans Contr Syst Technol, 20, 581, 10.1109/TCST.2011.2141994 Patteeuw, 2016, Comparison of load shifting incentives for low-energy buildings with heat pumps to attain grid flexibility benefits, Appl Energy, 167, 80, 10.1016/j.apenergy.2016.01.036