Impact of widespread photovoltaics generation on distribution systems
Abstract
Prompted by the need for clean energy sources, increasing numbers of photovoltaic (PV) generators are being connected to electricity distribution systems around the world. There is thus a growing imperative to understand and quantify the technical impact that high penetrations of such generators may have on the operation and performance of electricity distribution systems. Detailed simulations of a very high penetration of PV within a typical UK urban distribution network (11 kV, 400 V and 230 V) are reported. The study performed unbalanced three-phase load-flow analysis on an entire feeder within a time-domain simulation framework using load and generation data at 1 minute intervals. The results indicate that even at very high penetrations of PV, network voltage rises are small and unlikely to cause problems. Effects on network power flows and losses are also quantified and discussed.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
PVHC can vary drastically from almost 0% up to several hundred.
“The PVHC can vary drastically from almost 0% up to several hundred, e.g., 30% PVHC was calculated for a typical United Kingdom urban medium voltage distribution network in [57] and 100% PVHC for an MV network in the United States (only 2.5 kW PV per PoC was considered) [63].”
From Stochastic Approach for Increasing the PV Hosting Capacity of a Low-Voltage Distribution Network (2022) · cites this paper as [57]
A 2007 study calculated 30% PVHC, with voltage limitation, in an LV of a United Kingdom network.
“A study in 2007 [57] in which 30% PVHC was calculated, with voltage limitation, in an LV of a United Kingdom network.”
From Stochastic Approach for Increasing the PV Hosting Capacity of a Low-Voltage Distribution Network (2022) · cites this paper as [57]
Cited by
Sorted by citations
Grid-connected photovoltaic power systems: Technical and potential problems—A review
Eltawil, M., & Zhao, Z.-M. (2010) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2009.07.015 · Cited by 1,081 · see citing works
“A recent study [81] examined the impact of PV penetration in the UK, where utility source series impedances are typically higher than in the U.”
BackgroundResultA high-resolution stochastic model of domestic activity patterns and electricity demand
Widén, J., & Wäckelg̊ard, E. (2010) · Applied Energy · doi:10.1016/j.apenergy.2009.11.006 · Cited by 602 · see citing works
Impact of high PV penetration on voltage profiles in residential neighborhoods
Tonkoski, R., Turcotte, D., & El-Fouly, T. H. M. (2012) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2012.2191425 · Cited by 557 · see citing works
“, that did not include PV resources, was modeled using a stochastic approach and one-minute data information about house/load consumption and the solar irradiance data obtained for the region [5].”
MethodPhotovoltaic penetration issues and impacts in distribution network – A review
Karimi, M., Mokhlis, H., Naidu, K., Uddin, S., & Bakar, A. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.08.042 · Cited by 554 · see citing works
A review of key power system stability challenges for large-scale PV integration
Shah, R., Mithulananthan, N., Bansal, R., & Ramachandaramurthy, V. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.09.027 · Cited by 483 · see citing works
Yazdani, A., & Dash, P. (2009) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2009.2016632 · Cited by 395
“The majority of this body of the literature has focused on single-phase PV systems, with an emphasis on their harmonic interactions with the distribution networks [15]–[17] and on their impact on the power quality (PQ) [18]–[20].”
BackgroundA review of photovoltaic systems: Design, operation and maintenance
Hernández-Callejo, L., Gallardo-Saavedra, S., & Alonso-Gómez, V. (2019) · Solar Energy · doi:10.1016/j.solener.2019.06.017 · Cited by 385
Multiobjective Battery Storage to Improve PV Integration in Residential Distribution Grids
Tant, J., Geth, F., Six, D., Tant, P., & Driesen, J. (2013) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2012.2211387 · Cited by 350 · see citing works
“It is known that residential PV systems connected to an existing LV feeder cause overvoltage problems in some situations [4]–[9].”
BackgroundResultKabir, M., Mishra, Y., Ledwich, G., Dong, Z.-Y., & Wong, K. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2299336 · Cited by 339 · see citing works
“The feasibility of small scale solar generation in urban and rural areas has been demonstrated in [3], [4].”
BackgroundTamimi, B., Cañizares, C., & Bhattacharya, K. (2013) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2012.2235151 · Cited by 318 · see citing works
“The impact of small SPVG units on the operation of distribution systems is analysed in [16], [17], where it is indicated that considerable penetration of micro-generation may be accommodated safely without major modification to the system control.”
BackgroundReview of power system impacts at high PV penetration Part I: Factors limiting PV penetration
Gandhi, O., Kumar, D. S., Rodriguez-Gallegos, C., & Srinivasan, D. (2020) · Solar Energy · doi:10.1016/j.solener.2020.06.097 · Cited by 269 · see citing works
A combined Markov-chain and bottom-up approach to modelling of domestic lighting demand
Widén, J., Nilsson, A. M., & Wäckelg̊ard, E. (2009) · doi:10.1016/j.enbuild.2009.05.002 · Cited by 249
Baetens, R., de Coninck, R., Roy, J. V., Verbruggen, B., Driesen, J., Helsen, L., & Saelens, D. (2012) · Applied Energy · doi:10.1016/j.apenergy.2011.12.098 · Cited by 233 · see citing works
“[28], Paatero and Lund [29], Thomson and Infield [30] and Widén et al.”
BackgroundProspects for and barriers to domestic micro-generation: A United Kingdom perspective
Allen, S., Hammond, G. P., & McManus, M. (2008) · Applied Energy · doi:10.1016/j.apenergy.2007.09.006 · Cited by 222 · see citing works
Katsigiannis, Y., Georgilakis, P., & Karapidakis, E. (2012) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2012.2184840 · Cited by 219 · see citing works
“In the PV modeling, the output of the PV array (in kW) is calculated from [17]”
MethodWidén, J., Wäckelg̊ard, E., & Lund, P. (2009) · Solar Energy · doi:10.1016/j.solener.2009.07.007 · Cited by 218 · see citing works
Yao, X., Herrera, L., Ji, S., Zou, K., & Wang, J. (2013) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2013.2273292 · Cited by 228 · see citing works
Sugihara, H., Yokoyama, K., Saeki, O., Tsuji, K., & Funaki, T. (2013) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2012.2196529 · Cited by 201
PV Penetration Limits in Low Voltage Networks and Voltage Variations
Aziz, T., & Ketjoy, N. (2017) · IEEE Access · doi:10.1109/access.2017.2747086 · Cited by 200 · see citing works
Widén, J., Wäckelg̊ard, E., Paatero, J., & Lund, P. (2010) · Electric Power Systems Research · doi:10.1016/j.epsr.2010.07.007 · Cited by 197 · see citing works
Local Voltage Control Strategies for PV Storage Systems in Distribution Grids
von Appen, J., Stetz, T., Braun, M., & Schmiegel, A. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2291116 · Cited by 194 · see citing works
Cabrera-Tobar, A., Bullich-Massagué, E., Aragues-Penalba, M., & Gomis-Bellmunt, O. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.05.044 · Cited by 188 · see citing works
A review of challenges to real-time power management of microgrids
Colson, C., & Nehrir, M. H. (2009) · IEEE Power & Energy Society General Meeting · doi:10.1109/pes.2009.5275343 · Cited by 185
Improved photovoltaic self-consumption with appliance scheduling in 200 single-family buildings
Widén, J. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.04.008 · Cited by 179 · see citing works
Reactive Power Flow Control for PV Inverters Voltage Support in LV Distribution Networks
Molina-García, Á., Mastromauro, R., García-Sánchez, T., Pugliese, S., Liserre, M., & Stasi, S. (2017) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2016.2625314 · Cited by 153 · see citing works
“DGs interconnection to the LV network [2], [3].”
BackgroundOn Estimation and Sensitivity Analysis of Distribution Circuit’s Photovoltaic Hosting Capacity
Dubey, A., & Santoso, S. (2017) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2016.2622286 · Cited by 151 · see citing works
Optimization framework for distributed energy systems with integrated electrical grid constraints
Morvaj, B., Evins, R., & Carmeliet, J. (2016) · doi:10.1016/j.apenergy.2016.03.090 · Cited by 143
Impact of solar photovoltaics on the low-voltage distribution network in New Zealand
Watson, J. D., Watson, N. R., Santos‐Martin, D., Wood, A. R., Lemon, S., & Miller, A. J. V. (2016) · IET Generation, Transmission & Distribution · doi:10.1049/iet-gtd.2014.1076 · Cited by 135 · see citing works
Experimental assessment of the waveform distortion in grid-connected photovoltaic installations
Chicco, G., Schlabbach, J., & Spertino, F. (2009) · doi:10.1016/j.solener.2009.01.005 · Cited by 130
Technical impacts of grid-connected photovoltaic systems on electrical networks—A review
ElNozahy, M., & Salama, M. (2013) · doi:10.1063/1.4808264 · Cited by 127
Zio, E., Delfanti, M., Giorgi, L., Olivieri, V., & Sansavini, G. (2015) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2014.08.004 · Cited by 122 · see citing works
Koirala, A., Van Acker, T., D’hulst, R., & Van Hertem, D. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111899 · Cited by 118 · see citing works
Huda, A. N., & Zivanovic, R. (2017) · doi:10.1016/j.rser.2017.03.069 · Cited by 118
Morvaj, B., Evins, R., & Carmeliet, J. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.01.058 · Cited by 117 · see citing works
Solar Forecasting using ANN with Fuzzy Logic Pre-processing
Sivaneasan, B., Yu, C.-Y., & Goh, K.-P. (2017) · Energy Procedia · doi:10.1016/j.egypro.2017.12.753 · Cited by 116 · see citing works
Widén, J., Molin, A., & Ellegård, K. (2012) · doi:10.1080/19401493.2010.532569 · Cited by 113
“…with widespread small-scale power generation and few customers, the individual household’s contribution to the local balance between consumption and generation is larger and it becomes important with more detailed load models for simulations (Conti and Raiti 2007, Thomson and Infield 2007).”
BackgroundKelly, N. J., Tuohy, P. G., & Hawkes, A. D. (2014) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2013.12.019 · Cited by 95 · see citing works
Integration of Renewable Energy into Present and Future Energy Systems
Sims, R., Mercado, P., Krewitt, W., Bhuyan, G., Flynn, D., Holttinen, H., Jannuzzi, G., Khennas, S., Liu, Y., Nilsson, L. J., et al. (2011) · Renewable Energy Sources and Climate Change Mitigation · doi:10.1017/cbo9781139151153.012 · Cited by 98 · see citing works
Self-citationMultiple-distributed generation planning under load uncertainty and different penetration levels
Ugranlı, F., & Karatepe, E. (2013) · doi:10.1016/j.ijepes.2012.10.043 · Cited by 95
Shahnia, F., Ghosh, A., Ledwich, G., & Zare, F. (2014) · doi:10.1016/j.ijepes.2013.09.018 · Cited by 94
Monte Carlo-based assessment of PV impacts on real UK low voltage networks
Navarro, A., Ochoa, L. F., & Randles, D. (2013) · 2013 IEEE Power & Energy Society General Meeting · doi:10.1109/pesmg.2013.6672620 · Cited by 93 · see citing works
Hashemi, S., Ostergaard, J., & Yang, G.-Y. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2303580 · Cited by 92
A review of grid-tied converter topologies used in photovoltaic systems
Xiao, W., Elmoursi, M., Khan, O., & Infield, D. (2016) · doi:10.1049/iet-rpg.2015.0521 · Cited by 91
“Low-voltage (LV) connected systems are usually either small-scale or medium scale, and installed close to the electricity users, such as within the home or office buildings, [2].”
BackgroundSelf-citationYan, R.-F., Marais, B., & Saha, T. (2014) · Electric Power Systems Research · doi:10.1016/j.epsr.2014.02.020 · Cited by 91 · see citing works
An intelligent method for sizing optimization in grid-connected photovoltaic system
Sulaiman, S., Rahman, T. K. A., Musirin, I., Shaari, S., & Sopian, K. (2012) · doi:10.1016/j.solener.2012.04.009 · Cited by 88
Cohen, M. A., & Callaway, D. S. (2016) · Solar Energy · doi:10.1016/j.solener.2016.01.002 · Cited by 87 · see citing works
Akinyele, D., Rayudu, R., & Nair, N. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.05.091 · Cited by 86 · see citing works
Understanding photovoltaic hosting capacity of distribution circuits
Dubey, A., Santoso, S., & Maitra, A. (2015) · IEEE Power & Energy Society General Meeting · doi:10.1109/pesgm.2015.7286510 · Cited by 85 · see citing works
Interval Overvoltage Risk Based PV Hosting Capacity Evaluation Considering PV and Load Uncertainties
Wang, S.-X., Dong, Y., Wu, L., & Yan, B. (2020) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2019.2960335 · Cited by 84 · see citing works
“INTRODUCTION AN INCREASING penetration of photovoltaic (PV) systems in distribution networks (DNs) induces many operational issues including overvoltage [1]–[4], reverse power flow [5], degraded power quality [6]–[9], and increased thermal stress [10], etc.”
BackgroundDistribution Transformer Loss-of-Life Reduction by Increasing Penetration of Distributed Generation
Agah, S. M. M., & Abyaneh, H. A. (2011) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2010.2094210 · Cited by 84
“Thomson and Infield proposed an approach in [6] and [7] to quantify the technical impact that high penetration of customer-owned DG units might have on the voltage rise of a distribution system.”
Feasibility Study for Electric Vehicle Usage in a Microgrid Integrated With Renewable Energy
Abuelrub, A., Hamed, F., Hedel, J., & Al-Masri, H. M. K. (2023) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2023.3243237 · Cited by 83 · see citing works
Chinchilla, M., Santos-Martín, D., Carpintero-Rentería, M., & Lemon, S. (2021) · Applied Energy · doi:10.1016/j.apenergy.2020.116056 · Cited by 81
“Pyranometers are installed in some cases for the purpose of gathering suitable GHI or DNI data [22].”
BackgroundNguyen, A., Velay, M., Schoene, J., Zheglov, V., Kurtz, B., Murray, K., Torre, B., & Kleissl, J. (2016) · Solar Energy · doi:10.1016/j.solener.2016.03.019 · Cited by 80 · see citing works
Hybrid Boost Three-Level DC–DC Converter With High Voltage Gain for Photovoltaic Generation Systems
Zhang, Y., Sun, J.-T., & Wang, Y.-F. (2013) · IEEE transactions on power electronics · doi:10.1109/tpel.2012.2229720 · Cited by 80
Abdelsamad, S., Morsi, W., & Sidhu, T. (2015) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2015.2455554 · Cited by 78 · see citing works
“On the other hand, the use of solar photovoltaic (PV) has recently gained much attention due to a reduction in their installation costs and also due to being environmentally friendly [6].”
BackgroundImpact of Rooftop Photovoltaics on the Distribution System
Alboaouh, K., & Mohagheghi, S. (2020) · Journal of Renewable Energy · doi:10.1155/2020/4831434 · Cited by 75 · see citing works
“Effects of cloud movements, cloud pattern, or shading [19, 27, 59, 61, 64, 67, 75, 86, 96, 99, 100, 107, 109, 131, 146, 160, 178, 215, 218, 224, 240, 242, 243, 258] Journal of Renewable Energy 11”
BackgroundBright, J., Babacan, O., Kleissl, J., Taylor, P., & Crook, R. (2017) · doi:10.1016/j.solener.2017.03.018 · Cited by 75
“It is common to see a single PV generation time series used for many properties within in grid impact related studies (Thomson and Infield, 2007), this can overestimate the number on load tap changer (OLTC) operations by up to 260% from the resultant power ramp rates and magnitudes, ignoring the geographic smoothing (…”
BackgroundMinimum loss operation of distribution networks with photovoltaic generation
Jabr, R. (2014) · IET Renewable Power Generation · doi:10.1049/iet-rpg.2012.0213 · Cited by 75 · see citing works
Power quality analysis of grid-connected solar photovoltaic generators in Brazil
Urbanetz, J., Braun, P., & Rüther, R. (2012) · doi:10.1016/j.enconman.2012.05.008 · Cited by 75
The impact of domestic Plug-in Hybrid Electric Vehicles on power distribution system loads
Huang, S.-K., & Infield, D. (2010) · 2010 International Conference on Power System Technology · doi:10.1109/powercon.2010.5666513 · Cited by 74 · see citing works
Self-citationDroop-based active power curtailment for overvoltage prevention in grid connected PV inverters
Tonkoski, R., Lopes, L., & el-Fouly, T. (2010) · 2010 IEEE International Symposium on Industrial Electronics · doi:10.1109/isie.2010.5637511 · Cited by 72
“A current network in a city in UK, that was designed for operation without PV, was modeled and simulated using a stochastic approach and one-minute data information about house/load consumption and solar irradiance data obtained for the region [8].”
BackgroundMethodInfluentialBozorgavari, S. A., Aghaei, J., Pirouzi, S., Vahidinasab, V., Farahmand, H., & Korpås, M. (2019) · doi:10.1016/j.est.2019.100970 · Cited by 70
Analysis and Control of a Photovoltaic System: Application to a High-Penetration Case Study
Balathandayuthapani, S., Edrington, C., Henry, S., & Cao, J. (2012) · IEEE Systems Journal · doi:10.1109/jsyst.2011.2162889 · Cited by 70
Prosumer aggregation policies, country experience and business models
Moura, R., & Brito, M. (2019) · Energy Policy · doi:10.1016/j.enpol.2019.06.053 · Cited by 69
Widén, J., Wäckelgård, E., Paatero, J., & Lund, P. D. (2010) · Solar Energy · doi:10.1016/j.solener.2010.01.011 · Cited by 58 · see citing works
Lindberg, O., Birging, A., Widén, J., & Lingfors, D. (2021) · Applied Energy · doi:10.1016/j.apenergy.2020.116086 · Cited by 68
Effects of distributed PV generation on California’s distribution system, part 2: Economic analysis
Cohen, M. A., Kauzmann, P. A., & Callaway, D. S. (2016) · Solar Energy · doi:10.1016/j.solener.2016.01.004 · Cited by 62 · see citing works
Nijhuis, M., Gibescu, M., & Cobben, J. F. G. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.07.124 · Cited by 69 · see citing works
Series DC Arc Fault Detection Using Machine Learning Algorithms
Dang, H.-L., Kim, J., Kwak, S., & Choi, S.-D. (2021) · IEEE Access · doi:10.1109/access.2021.3115512 · Cited by 68 · see citing works
Microgrid integrated electric vehicle charging algorithm with photovoltaic generation
Abuelrub, A., Hamed, F., & Saadeh, O. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2020.101858 · Cited by 67 · see citing works
Vilathgamuwa, D. M., Gajanayake, C., & Loh, P. (2009) · IEEE transactions on energy conversion · doi:10.1109/tec.2008.2002314 · Cited by 66
Emmanuel, M., & Rayudu, R. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.09.010 · Cited by 66 · see citing works
Khafaf, N. A., Rezaei, A. A., MoradiAmani, A., Jalili, M., McGrath, B., Meegahapola, L. G., & Vahidnia, A. (2022) · Renewable Energy · doi:10.1016/j.renene.2021.10.005 · Cited by 65
Effects of distributed energy resources on conservation voltage reduction (CVR)
Singh, R. D., Tuffner, F. K., Fuller, J., & Schneider, K. (2011) · IEEE Power & Energy Society General Meeting · doi:10.1109/pes.2011.6039702 · Cited by 62
“A typical PV installation on a house roof generates 1 to 2 kW [12], often connected through a single-phase inverter to the distribution network.”
BackgroundMethodMajeed, I. B., & Nwulu, N. (2022) · Social Science Research Network · doi:10.2139/ssrn.4172636 · Cited by 61 · see citing works
Munkhammar, J., Bishop, J., Sarralde, J., Tian, W., & Choudhary, R. (2015) · Energy and Buildings · doi:10.1016/j.enbuild.2014.10.006 · Cited by 61 · see citing works
Overvoltage prevention in LV smart grid using customer resources coordination
Mokhtari, G., Nourbakhsh, G., Zare, F., & Ghosh, A. (2013) · Energy and Buildings · doi:10.1016/j.enbuild.2013.02.015 · Cited by 60 · see citing works
Admasie, S., Bukhari, S. B. A., Haider, R., Gush, T., & Kim, C.-H. (2019) · doi:10.1016/j.epsr.2019.105983 · Cited by 57
UK Renewable Energy Policy Since Privatisation
Pollitt, M. (2010) · doi:10.17863/cam.1132 · Cited by 55
Su, X., Masoum, M. S., & Wolfs, P. (2014) · doi:10.1049/iet-gtd.2013.0841 · Cited by 53
Hernández, J., Ruiz-Rodriguez, F., & Jurado, F. (2013) · doi:10.1016/j.ijepes.2013.02.010 · Cited by 53
A copula method for simulating correlated instantaneous solar irradiance in spatial networks
Munkhammar, J., Widén, J., & Hinkelman, L. M. (2017) · doi:10.1016/j.solener.2016.12.022 · Cited by 51
Comparative study of reactive power control methods for photovoltaic inverters in low-voltage grids
Momeneh, A., Castilla, M., Miret, J., Martí, P., & Velasco, M. (2016) · IET Renewable Power Generation · doi:10.1049/iet-rpg.2014.0402 · Cited by 51 · see citing works
Integrating micro-generation into distribution systems — a review of recent research
Infield, D., & Li, F. (2008) · IEEE Power & Energy Society General Meeting · doi:10.1109/pes.2008.4596874 · Cited by 51
“Figure 2 below, is taken from [ 5 ] and shows the probability distributions for voltage throughout the feeder modeled (based on a part of the city of Leicester in the UK) for three cases: no micro-generation; 30% of all houses with 2 kW PV systems, and 50% of all houses with 2 kW systems.”
BackgroundSelf-citationA review of grid connected distributed generation using renewable energy sources in South Africa
Thopil, M., Bansal, R. C., Zhang, L., & Sharma, G. (2018) · Energy Strategy Reviews · doi:10.1016/j.esr.2018.05.001 · Cited by 58 · see citing works
Widén, J., Shepero, M., & Munkhammar, J. (2017) · IEEE Journal of Photovoltaics · doi:10.1109/jphotov.2017.2749004 · Cited by 49
“In fact, many studies use PV system data for one site as representative of a whole network [11], [12], although it has been shown that the difference in simulated grid impact between using singlesite versus spatially resolved data can be substantial [13], [14].”
BackgroundExploiting PV Inverters to Support Local Voltage—A Small-Signal Model
Fazeli, M., Ekanayake, J., Holland, P., & Igić, P. (2014) · IEEE transactions on energy conversion · doi:10.1109/tec.2014.2300012 · Cited by 49
Hartvigsson, E., Odenberger, M., Chen, P., & Nyholm, E. (2021) · Renewable Energy · doi:10.1016/j.renene.2021.02.073 · Cited by 47 · see citing works
Energy losses in a distribution line with distributed generation based on stochastic power flow
Marinopoulos, A., Alexiadis, M. C., & Dokopoulos, P. (2011) · doi:10.1016/j.epsr.2011.06.006 · Cited by 47
Three–Phase Time–Domain Simulation of Very Large Distribution Networks
Spitsa, V., Salcedo, R., Ran, X., Martínez, J. F., Uosef, R. E., de León, F., Czarkowski, D., & Zabar, Z. (2012) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2011.2179069 · Cited by 45
“An unbalanced three-phase load-flow solver was used in [7] to investigate the impact of”
MethodKatsigiannis, Y., Georgilakis, P., & Tsinarakis, G. J. (2010) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/tsmca.2010.2052607 · Cited by 45
“The output of the PV array PPV (in kW) is calculated from [34]”
MethodKordkheili, R. A., Bak-Jensen, B., R-Pillai, J., & Mahat, P. (2014) · 2014 IEEE PES General Meeting | Conference & Exposition · doi:10.1109/pesgm.2014.6939292 · Cited by 43
Single-sensor multi-channel maximum power point tracking controller for photovoltaic solar systems
Jiang, Y.-C., & Qahouq, J. A. A. (2012) · doi:10.1049/iet-pel.2012.0157 · Cited by 43
Voltage control of PV inverter connected to unbalanced distribution system
Mishra, P., Pradhan, A., & Bajpai, P. (2019) · IET Renewable Power Generation · doi:10.1049/iet-rpg.2018.6219 · Cited by 42
Sabillón, C., Franco, J. F., Rider, M. J., & Romero, R. (2018) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2018.05.015 · Cited by 41
Review of Challenges and Research Opportunities for Control of Transmission Grids
Gui, Y., Jiang, S., Bai, L., Xue, Y. S., Wang, H., Reidt, J., Ojetola, S., & Schoenwald, D. A. (2024) · IEEE Access · doi:10.1109/access.2024.3425272 · Cited by 51 · see citing works
“Regarding the centralized renewable energy generators control theories, [237] and [238] studied the impact of control methodologies to the voltage regulation and loss reduction, the efforts were devoted to addressing the harmonic control when integrating RES [239].”
MethodYamegueu, D., Azoumah, Y., Py, X., & Kottin, H. (2013) · doi:10.1016/j.ijepes.2012.07.027 · Cited by 41
A new demand response algorithm for solar PV intermittency management
Sivaneasan, B., Kandasamy, N., Lim, M. L., & Goh, K.-P. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.02.147 · Cited by 38 · see citing works
Westacott, P., & Candelise, C. (2016) · IET Renewable Power Generation · doi:10.1049/iet-rpg.2015.0535 · Cited by 34 · see citing works
- Authors
- Thomson, M., & Infield, D. G.
- Affiliations
- Loughborough University (GB)
- ORCID
- Thomson, M.
- Venue
- IET Renewable Power Generation
- Published
- 2007-03-12
- Volume
- 1
- Issue
- 1
- Pages
- 33-40
- ISSN
- 1752-1416 (ISSN-L)
- 1752-1424
- OpenAlex
- W1987860361
- Cited by
- 350
- References
- 0
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 5 · 2023: 10 · 2022: 15 · 2021: 12 · 2020: 19 · 2019: 21 · 2018: 21 · 2017: 40 · 2016: 32 · 2015: 25 · 2014: 42 · 2013: 23 · 2012: 24
- FWCI
- 10.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IET Renewable Power Generation (publishedVersion)
- Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council
- Core Research for Evolutional Science and Technology
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power Quality and Harmonics
- Keywords
- photovoltaic penetration, distribution networks, urban distribution networks, time-domain simulation, power flow, transmission loss, distributed generation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review