This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.
Dr. Surya Narayan Tripathy,
Badal Mandal,
Shubankar Parida,
Iswar Nath,
- Associate professor, Department of EE GIET, BBSR, Odisha, India
- Student, Department of EE GIET, BBSR, Odisha, India
- Student, Department of EE GIET, BBSR, Odisha, India
- Student, Department of EE GIET, BBSR, Odisha, India
Abstract
The transition to Electric Vehicles (EVs) is a critical strategy for mitigating global warming and reducing dependence on diminishing fossil fuel reserves. However, the environmental benefits of EVs are significantly diminished if the charging power is sourced from carbon-intensive electrical grids. To achieve true sustainability, it is vital to integrate Renewable Energy Sources (RES), particularly solar energy, into the charging infrastructure. Beyond transportation, EVs offer a unique opportunity to act as distributed energy storage units, providing essential ancillary services such as voltage regulation, frequency stability, and reserve capacity. This paper provides a comprehensive review of recent developments in the modelling of integrated Photovoltaic (PV) and Electric Vehicle (EV–PV) systems within distribution networks. A significant portion of the discussion is dedicated to the stochastic nature of these systems, focusing on uncertainty modelling techniques for unpredictable variables such as solar irradiance and driver behavior. Moreover, the review looks into sophisticated optimization methods, energy management tactics that operate in real-time, and two-way power transfer systems like Vehicle-to-Grid (V2G) technology—these contribute to a more resilient grid and greater operational adaptability. It emphasizes the importance of smart charging algorithms and demand response programs in reducing peak load stress and enhancing energy utilization efficiency. By identifying current research gaps and future trends, this review serves as a roadmap for developing optimized integration strategies that maximize the ecological benefits of EVs while ensuring the stability and efficiency of the modern power grid.
Keywords: Electric Vehicles (EVs), Photovoltaic (PV) Systems, Distribution Networks, Stochastic Modelling, Uncertainty Analysis
Dr. Surya Narayan Tripathy, Badal Mandal, Shubankar Parida, Iswar Nath. A Review of Solar-Powered Electric Vehicle Models Handling Unpredictable Changes in Modern Power Grids. Trends in Electrical Engineering. 2026; 16(01):-.
Dr. Surya Narayan Tripathy, Badal Mandal, Shubankar Parida, Iswar Nath. A Review of Solar-Powered Electric Vehicle Models Handling Unpredictable Changes in Modern Power Grids. Trends in Electrical Engineering. 2026; 16(01):-. Available from: https://journals.stmjournals.com/tee/article=2026/view=239709
References
[1] Asaad M, Shrivastava P, Alam MS, Rafat Y, Pillai RK. Viability of xEVs in India: A public opinion survey. InISGW 2017: Compendium of Technical Papers: 3rd International Conference and Exhibition on Smart Grids and Smart Cities 2018 Apr 11 (pp. 165-178). Singapore: Springer Singapore.
[2] Bunsen T, Cazzola P, Gorner M, Paoli L, Scheffer S, Schuitmaker R, Tattini J, Teter J. Global EV Outlook 2018: Towards cross-modal electrification.
[3] Monteiro V, Gonçalves H, Afonso JL. Impact of Electric Vehicles on power quality in a Smart Grid context. In11th international conference on electrical power quality and utilisation 2011 Oct 17 (pp. 1-6). IEEE.
[4] Jordehi AR. Optimisation of demand response in electric power systems, a review. Renewable and sustainable energy reviews. 2019 Apr 1;103:308-19.
[5] Strbac G. Demand side management: Benefits and challenges. Energy policy. 2008 Dec 1;36(12):4419-26.
[6] Kempton W, Letendre SE. Electric vehicles as a new power source for electric utilities. Transportation Research Part D: Transport and Environment. 1997 Sep 1;2(3):157-75.
[7] Pasaoglu G, Fiorello D, Martino A, Zani L, Zubaryeva A, Thiel C. Travel patterns and the potential use of electric cars–Results from a direct survey in six European countries. Technological Forecasting and Social Change. 2014 Sep 1;87:51-9.
[8] Tushar W, Yuen C, Mohsenian-Rad H, Saha T, Poor HV, Wood KL. Transforming energy networks via peer-to-peer energy trading: The potential of game-theoretic approaches. IEEE Signal Processing Magazine. 2018 Jun 27;35(4):90-111.
[9] Woo J, Choi H, Ahn J. Well-to-wheel analysis of greenhouse gas emissions for electric vehicles based on electricity generation mix: A global perspective. Transportation Research Part D: Transport and Environment. 2017 Mar 1;51:340-50.
[10] Saber AY, Venayagamoorthy GK. Plug-in vehicles and renewable energy sources for cost and emission reductions. IEEE Transactions on Industrial electronics. 2010 Apr 12;58(4):1229-38.
[11] Bhatti AR, Salam Z, Aziz MJ, Yee KP, Ashique RH. Electric vehicles charging using photovoltaic: Status and technological review. Renewable and Sustainable Energy Reviews. 2016 Feb 1;54:34-47.
[12] Hoarau Q, Perez Y. Interactions between electric mobility and photovoltaic generation: A review. Renewable and Sustainable Energy Reviews. 2018 Oct 1;94:510-22.
[13] Shepero M, Munkhammar J, Widén J, Bishop JD, Boström T. Modeling of photovoltaic power generation and electric vehicles charging on city-scale: A review. Renewable and Sustainable Energy Reviews. 2018 Jun 1;89:61-71.
[14] Fachrizal R, Shepero M, van der Meer D, Munkhammar J, Widén J. Smart charging of electric vehicles considering photovoltaic power production and electricity consumption: A review. ETransportation. 2020 May 1;4:100056.
[15] Yong JY, Ramachandaramurthy VK, Tan KM, Mithulananthan N. A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects. Renewable and sustainable energy reviews. 2015 Sep 1;49:365-85.
[16] Ma CT. System planning of grid-connected electric vehicle charging stations and key technologies: A review. Energies. 2019 Nov 4;12(21):4201.
[17] Ahmadian A, Mohammadi-Ivatloo B, Elkamel A. A review on plug-in electric vehicles: Introduction, current status, and load modeling techniques. Journal of Modern Power Systems and Clean Energy. 2020 Jan 23;8(3):412-25.
[18] Richardson DB. Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration. Renewable and Sustainable Energy Reviews. 2013 Mar 1;19:247-54.
[19] Su J, Lie TT, Zamora R. Modelling of large-scale electric vehicles charging demand: A New Zealand case study. Electric Power Systems Research. 2019 Feb 1;167:171-82.
[20] Chung CY, Youn E, Chynoweth J, Qiu C, Chu CC, Gadh R. Safety design for smart Electric Vehicle charging with current and multiplexing control. In2013 IEEE International Conference on Smart Grid Communications (SmartGridComm) 2013 Oct 21 (pp. 540-545). IEEE.
[21] Zheng Y, Niu S, Shang Y, Shao Z, Jian L. Integrating plug-in electric vehicles into power grids: A comprehensive review on power interaction mode, scheduling methodology and mathematical foundation. Renewable and Sustainable Energy Reviews. 2019 Sep 1;112:424-39.
[22] He Y, Venkatesh B, Guan L. Optimal scheduling for charging and discharging of electric vehicles. IEEE transactions on smart grid. 2012 Jul 19;3(3):1095-105.
[23] Ahn C, Li CT, Peng H. Optimal decentralized charging control algorithm for electrified vehicles connected to smart grid. Journal of Power Sources. 2011 Dec 1;196(23):10369-79.
[24] Hu J, You S, Lind M, Østergaard J. Coordinated charging of electric vehicles for congestion prevention in the distribution grid. IEEE Transactions on Smart Grid. 2013 Nov 13;5(2):703-11.
[25] Uddin M, Romlie MF, Abdullah MF, Abd Halim S, Bakar AH, Kwang TC. A review on peak load shaving strategies. Renewable and Sustainable Energy Reviews. 2018 Feb 1;82:3323-32.
[26] Letendre SE, Kempton W. The V2G concept: A new model for power?. Public Utilities Fortnightly. 2001;140(4):16-27.
[27] Guille C, Gross G. A conceptual framework for the vehicle-to-grid (V2G) implementation. Energy policy. 2009 Nov 1;37(11):4379-90.
[28] Tan KM, Ramachandaramurthy VK, Yong JY. Integration of electric vehicles in smart grid: A review on vehicle to grid technologies and optimization techniques. Renewable and Sustainable Energy Reviews. 2016 Jan 1;53:720-32.
[29] Sortomme E, El-Sharkawi MA. Optimal charging strategies for unidirectional vehicle-to-grid. IEEE Transactions on Smart Grid. 2010 Dec 10;2(1):131-8.
[30] Boynuegri AR, Uzunoglu M, Erdinc O, Gokalp E. A new perspective in grid connection of electric vehicles: Different operating modes for elimination of energy quality problems. Applied energy. 2014 Nov 1;132:435-51.
[31] Turker H, Hably A, Bacha S. Housing peak shaving algorithm (HPSA) with plug-in hybrid electric vehicles (PHEVs): Vehicle-to-Home (V2H) and Vehicle-to-Grid (V2G) concepts. In4th International Conference on Power Engineering, Energy and Electrical Drives 2013 May 13 (pp. 753-759). IEEE.
[32] Oluwalana OJ, Grzesik K. Solar-powered electric vehicles: Comprehensive review of technology advancements, challenges, and future prospects. Energies. 2025 Jul 10;18(14):3650.
[33] Goli P, Shireen W. PV powered smart charging station for PHEVs. Renewable Energy. 2014 Jun 1;66:280-7.
[34] Carli G, Williamson SS. Technical considerations on power conversion for electric and plug-in hybrid electric vehicle battery charging in photovoltaic installations. IEEE transactions on power electronics. 2013 May 3;28(12):5784-92.
[35] Van Der Meer D, Mouli GR, Morales-España G, Elizondo LR, Bauer P. Erratum to “Energy Management System With PV Power Forecast to Optimally Charge EVs at the Workplace”[Jan 18 311-320]. IEEE Transactions on Industrial Informatics. 2018 Jul 3;14(7):3298-.
[36] Oliveira DQ, De Souza AZ, Delboni LN. Optimal plug-in hybrid electric vehicles recharge in distribution power systems. Electric Power Systems Research. 2013 May 1;98:77-85.
[37] Ahmad F, Alam MS, Shahidehpour M. Profit maximization of microgrid aggregator under power market environment. IEEE Systems Journal. 2018 Jun 5;13(3):3388-99.
[38] Sarker MR, Dvorkin Y, Ortega-Vazquez MA. Optimal participation of an electric vehicle aggregator in day-ahead energy and reserve markets. IEEE transactions on power systems. 2015 Nov 13;31(5):3506-15.
[39] Reddy KR, Meikandasivam S. Load flattening and voltage regulation using plug-in electric vehicle’s storage capacity with vehicle prioritization using anfis. IEEE Transactions on Sustainable Energy. 2018 Dec 28;11(1):260-70.
[40] Reddy KR, Meikandasivam S. Load flattening and voltage regulation using plug-in electric vehicle & storage capacity with vehicle prioritization using anfis. IEEE Transactions on Sustainable Energy. 2018 Dec 28;11(1):260-70.
[41] Zhou K, Cai L. Randomized PHEV charging under distribution grid constraints. IEEE Transactions on Smart Grid. 2014 Feb 7;5(2):879-87.
[42] Ma Z, Callaway DS, Hiskens IA. Decentralized charging control of large populations of plug-in electric vehicles. IEEE Transactions on control systems technology. 2011 Nov 15;21(1):67-78.
[43] Unda IG, Papadopoulos P, Skarvelis-Kazakos S, Cipcigan LM, Jenkins N, Zabala E. Management of electric vehicle battery charging in distribution networks with multi-agent systems. Electric Power Systems Research. 2014 May 1;110:172- 9.
[44] Chaudhari K, Kandasamy NK, Krishnan A, Ukil A, Gooi HB. Agent-based aggregated behavior modeling for electric vehicle charging load. IEEE Transactions on Industrial Informatics. 2018 Apr 5;15(2):856-68.
[45] Liu M, Phanivong PK, Shi Y, Callaway DS. Decentralized charging control of electric vehicles in residential distribution networks. IEEE Transactions on Control Systems Technology. 2017 Nov 22;27(1):266-81.
[46] Torreglosa JP, García-Triviño P, Fernández-Ramirez LM, Jurado F. Decentralized energy management strategy based on predictive controllers for a medium voltage direct current photovoltaic electric vehicle charging station. Energy Conversion and Management. 2016 Jan 15;108:1-3.
[47] Weckx S, D’hulst R, Driesen J. Primary and secondary frequency support by a multi-agent demand control system. IEEE Transactions on Power Systems. 2014 Aug 8;30(3):1394-404.
[48] Paterakis NG, Erdinc O, Bakirtzis AG, Catalao JP. Optimal household appliances scheduling under day-ahead pricing and load-shaping demand response strategies. IEEE Transactions on Industrial Informatics. 2015 Jun 1;11(6):1509-19.
[49] Xi X, Sioshansi R. Using price-based signals to control plug-in electric vehicle fleet charging. IEEE Transactions on Smart Grid. 2014 Jan 30;5(3):1451-64.
[50] Pan J, Jain R, Paul S, Vu T, Saifullah A, Sha M. An internet of things framework for smart energy in buildings: designs, prototype, and experiments. IEEE internet of things journal. 2015 Mar 16;2(6):527-37.
[51] Hu J, Morais H, Sousa T, Lind M. Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects. Renewable and Sustainable Energy Reviews. 2016 Apr 1;56:1207-26.
[52] Fischer D, Harbrecht A, Surmann A, McKenna R. Electric vehicles’ impacts on residential electric local profiles–A stochastic modelling approach considering socio-economic, behavioural and spatial factors. Applied energy. 2019 Jan 1;233:644-58.
[53] Nunes P, Figueiredo R, Brito MC. The use of parking lots to solar-charge electric vehicles. Renewable and Sustainable Energy Reviews. 2016 Dec 1;66:679-93.
[54] Satya Prakash Oruganti K, Aravind Vaithilingam C, Rajendran G, A R. Design and sizing of mobile solar photovoltaic power plant to support rapid charging for electric vehicles. Energies. 2019 Sep 19;12(18):3579.
[55] Denholm P, Kuss M, Margolis RM. Co-benefits of large scale plug-in hybrid electric vehicle and solar PV deployment. Journal of Power Sources. 2013 Aug 15;236:350-6.
[56] Nunes P, Farias T, Brito MC. Day charging electric vehicles with excess solar electricity for a sustainable energy system. Energy. 2015 Feb 1;80:263-74.
[57] Tulpule PJ, Marano V, Yurkovich S, Rizzoni G. Economic and environmental impacts of a PV powered workplace parking garage charging station. Applied Energy. 2013 Aug 1;108:323-32.
[58] Sarkar J, Bhattacharyya S. Operating characteristics of transcritical CO2 heat pump for simultaneous water cooling and heating. Archives of thermodynamics. 2012;33(4):23-40.
[59] Kempton W, Tomić J. Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy. Journal of power sources. 2005 Jun 1;144(1):280-94.
[60] Moghaddam Z, Ahmad I, Habibi D, Phung QV. Smart charging strategy for electric vehicle charging stations. IEEE Transactions on transportation electrification. 2017 Sep 18;4(1):76-88.
[61] Mouli GR, Kefayati M, Baldick R, Bauer P. Integrated PV charging of EV fleet based on energy prices, V2G, and offer of reserves. IEEE Transactions on Smart Grid. 2017 Oct 16;10(2):1313-25.
[62] Ioakimidis CS, Thomas D, Rycerski P, Genikomsakis KN. Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot. Energy. 2018 Apr 1;148:148-58.
[63] Ivanova A, Fernandez JA, Crawford C, Djilali N. Coordinated charging of electric vehicles connected to a net-metered PV parking lot. In2017 IEEE PES innovative smart grid technologies conference Europe (ISGT-Europe) 2017 Sep 26 (pp. 1- 6). IEEE.
[64] Mohamed A, Salehi V, Ma T, Mohammed O. Real-time energy management algorithm for plug-in hybrid electric vehicle charging parks involving sustainable energy. IEEE Transactions on Sustainable Energy. 2013 Sep 30;5(2):577-86.
[65] Liu N, Chen Q, Liu J, Lu X, Li P, Lei J, Zhang J. A heuristic operation strategy for commercial building microgrids containing EVs and PV system. IEEE Transactions on Industrial Electronics. 2014 Oct 22;62(4):2560-70.
[66] Zhang Y, Cai L. Dynamic charging scheduling for EV parking lots with photovoltaic power system. IEEE Access. 2018 Oct 1;6:56995-7005.
[67] Alam MJ, Muttaqi KM, Sutanto D. Effective utilization of available PEV battery capacity for mitigation of solar PV impact and grid support with integrated V2G functionality. IEEE Transactions on Smart Grid. 2015 Oct 26;7(3):1562-71.
[68] Wi YM, Lee JU, Joo SK. Electric vehicle charging method for smart homes/buildings with a photovoltaic system. IEEE Transactions on Consumer Electronics. 2013 Jun 17;59(2):323-8.
[69] Wu X, Hu X, Teng Y, Qian S, Cheng R. Optimal integration of a hybrid solar-battery power source into smart home nanogrid with plug-in electric vehicle. Journal of power sources. 2017 Sep 30;363:277-83.
[70] Eldeeb HH, Faddel S, Mohammed OA. Multi-objective optimization technique for the operation of grid tied PV powered EV charging station. Electric Power Systems Research. 2018 Nov 1;164:201-11.
[71] Van Der Kam M, Van Sark W. Smart charging of electric vehicles with photovoltaic power and vehicle-to-grid technology in a microgrid; a case study. Applied energy. 2015 Aug 15;152:20-30.
[72] Bhatti AR, Salam Z. A rule-based energy management scheme for uninterrupted electric vehicles charging at constant price using photovoltaic-grid system. Renewable energy. 2018 Sep 1;125:384-400.
[73] Barone G, Buonomano A, Calise F, Forzano C, Palombo A. Building to vehicle to building concept toward a novel zero energy paradigm: Modelling and case studies. Renewable and Sustainable Energy Reviews. 2019 Mar 1;101:625-48.
[74] Ghotge R, Snow Y, Farahani S, Lukszo Z, van Wijk A. Optimized scheduling of EV charging in solar parking lots for local peak reduction under EV demand uncertainty. Energies. 2020 Mar 10;13(5):1275.
[75] Fachrizal R, Munkhammar J. Improved photovoltaic self-consumption in residential buildings with distributed and centralized smart charging of electric vehicles. Energies. 2020 Mar 4;13(5):1153.
[76] Nunes P, Farias T, Brito MC. Enabling solar electricity with electric vehicles smart charging. Energy. 2015 Jul 1;87:10- 20.
[77] Kádár P, Varga A. PhotoVoltaic EV charge station. In2013 IEEE 11th International Symposium on Applied Machine Intelligence and Informatics (SAMI) 2013 Jan 31 (pp. 57-60). IEEE.
[78] Brenna M, Dolara A, Foiadelli F, Leva S, Longo M. Urban scale photovoltaic charging stations for electric vehicles. IEEE Transactions on Sustainable Energy. 2014 Aug 14;5(4):1234-41.
[79] Leou RC, Su CL, Lu CN. Stochastic analyses of electric vehicle charging impacts on distribution network. IEEE Transactions on Power Systems. 2013 Dec 5;29(3):1055-63.
[80] Khodayar ME, Wu L, Shahidehpour M. Hourly coordination of electric vehicle operation and volatile wind power generation in SCUC. IEEE Transactions on Smart Grid. 2012 Jun 15;3(3):1271-9.
[81] Liu Z, Wen F, Ledwich G. Optimal siting and sizing of distributed generators in distribution systems considering uncertainties. IEEE Transactions on power delivery. 2011 Sep 23;26(4):2541-51.
[82] Soares J, Borges N, Ghazvini MA, Vale Z, de Moura Oliveira PB. Scenario generation for electric vehicles’ uncertain behavior in a smart city environment. Energy. 2016 Sep 15;111:664-75.
[83] Chen Z, Xiong R, Cao J. Particle swarm optimization-based optimal power management of plug-in hybrid electric vehicles considering uncertain driving conditions. Energy. 2016 Feb 1;96:197-208.
[84] Soroudi A, Ehsan M. A possibilistic–probabilistic tool for evaluating the impact of stochastic renewable and controllable power generation on energy losses in distribution networks—A case study. Renewable and Sustainable Energy Reviews. 2011 Jan 1;15(1):794-800.
[85] Ahmad F, Alam MS, Shariff SM, Krishnamurthy M. A cost-efficient approach to EV charging station integrated community microgrid: A case study of Indian power market. IEEE Transactions on transportation electrification. 2019 Jan 21;5(1):200-14.
[86] Shepero M, Munkhammar J. Spatial Markov chain model for electric vehicle charging in cities using geographical information system (GIS) data. Applied energy. 2018 Dec 1;231:1089-99.
[87] Gupta N. Gauss-quadrature-based probabilistic load flow method with voltage-dependent loads including WTGS, PV, and EV charging uncertainties. IEEE Transactions on Industry Applications. 2018 Jul 12;54(6):6485-97.
[88] Zhou B, Yang X, Yang D, Yang Z, Littler T, Li H. Probabilistic load flow algorithm of distribution networks with distributed generators and electric vehicles integration. Energies. 2019 Nov 6;12(22):4234.
[89] Baringo L, Amaro RS. A stochastic robust optimization approach for the bidding strategy of an electric vehicle aggregator. Electric power systems research. 2017 May 1;146:362-70.
[90] Sarker MR, Pandžić H, Ortega-Vazquez MA. Optimal operation and services scheduling for an electric vehicle battery swapping station. IEEE transactions on power systems. 2014 Jul 16;30(2):901-10.
[91] Zhao J, Wan C, Xu Z, Wang J. Risk-based day-ahead scheduling of electric vehicle aggregator using information gap decision theory. IEEE Transactions on Smart Grid. 2015 Dec 3;8(4):1609-18.
[92] Soroudi A, Keane A. Risk averse energy hub management considering plug-in electric vehicles using information gap decision theory. InPlug In Electric Vehicles in Smart Grids: Energy Management 2014 Nov 30 (pp. 107-127). Singapore: Springer Singapore.
[93] Aien M, Fotuhi-Firuzabad M, Rashidinejad M. Probabilistic optimal power flow in correlated hybrid wind–photovoltaic power systems. IEEE transactions on smart grid. 2014 Jan 2;5(1):130-8.
[94] Al-Dahidi S, Ayadi O, Alrbai M, Adeeb J. Ensemble approach of optimized artificial neural networks for solar photovoltaic power prediction. Ieee Access. 2019 Jun 20;7:81741-58.
[95] Zhao Q, Wang P, Goel L, Ding Y. Evaluation of nodal reliability risk in a deregulated power system with photovoltaic power penetration. IET Generation, Transmission & Distribution. 2014 Mar;8(3):421-30.
[96] Zhao J, Wang W, Sheng C. Industrial prediction intervals with data Uncertainty. InData-Driven Prediction for Industrial Processes and Their Applications 2018 Aug 21 (pp. 159-222). Cham: Springer International Publishing.
[97] Wu X, Wang X, Qu C. A hierarchical framework for generation scheduling of microgrids. IEEE Transactions on Power Delivery. 2014 Sep 24;29(6):2448-57.
[98] Ehsan A, Yang Q. Coordinated investment planning of distributed multi-type stochastic generation and battery storage in active distribution networks. IEEE Transactions on Sustainable Energy. 2018 Oct 1;10(4):1813-22.
[99] Wang R, Wang P, Xiao G. A robust optimization approach for energy generation scheduling in microgrids. Energy Conversion and Management. 2015 Dec 1;106:597-607.
[100] Sun Y, Huang P, Huang G. A multi-criteria system design optimization for net zero energy buildings under uncertainties. Energy and Buildings. 2015 Jun 15;97:196-204.
[101] Koraki D, Strunz K. Wind and solar power integration in electricity markets and distribution networks through service- centric virtual power plants. IEEE Transactions on Power Systems. 2017 Jun 1;33(1):473-85.
[102] Chen Y, Wang Y, Kirschen D, Zhang B. Model-free renewable scenario generation using generative adversarial networks. IEEE Transactions on Power Systems. 2018 Jan 17;33(3):3265-75.
[103] Ahmed R, Sreeram V, Mishra Y, Arif MD. A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization. Renewable and sustainable energy reviews. 2020 May 1;124:109792.
[104] Das UK, Tey KS, Seyedmahmoudian M, Mekhilef S, Idris MY, Van Deventer W, Horan B, Stojcevski A. Forecasting of photovoltaic power generation and model optimization: A review. Renewable and Sustainable Energy Reviews. 2018 Jan 1;81:912-28.
[105] Ramadhani UH, Shepero M, Munkhammar J, Widén J, Etherden N. Review of probabilistic load flow approaches for power distribution systems with photovoltaic generation and electric vehicle charging. International Journal of Electrical Power & Energy Systems. 2020 Sep 1;120:106003.
[106] Zakaria A, Ismail FB, Lipu MH, Hannan MA. Uncertainty models for stochastic optimization in renewable energy applications. Renewable Energy. 2020 Jan 1;145:1543-71.
[107] Ehsan A, Yang Q. State-of-the-art techniques for modelling of uncertainties in active distribution network planning: A review. Applied energy. 2019 Apr 1;239:1509-23.
[108] Kumar KP, Saravanan B. Recent techniques to model uncertainties in power generation from renewable energy sources and loads in microgrids–A review. Renewable and Sustainable Energy Reviews. 2017 May 1;71:348-58.
[109] Kawamura N, Muta M. Development of solar charging system for plug-in hybrid electric vehicles and electric vehicles. In2012 International Conference on Renewable Energy Research and Applications (ICRERA) 2012 Nov 11 (pp. 1- 5). IEEE.
[110] Castello CC, LaClair TJ, Maxey LC. Control strategies for electric vehicle (EV) charging using renewables and local storage. In2014 IEEE transportation electrification conference and expo (ITEC) 2014 Jun 15 (pp. 1-7). IEEE.
[111] Prusty BR, Jena D. A critical review on probabilistic load flow studies in uncertainty constrained power systems with photovoltaic generation and a new approach. Renewable and Sustainable Energy Reviews. 2017 Mar 1;69:1286-302.
[112] Hong T, Fan S. Probabilistic electric load forecasting: A tutorial review. International Journal of Forecasting. 2016 Jul 1;32(3):914-38.
[113] Jordehi AR. How to deal with uncertainties in electric power systems? A review. Renewable and sustainable energy reviews. 2018 Nov 1;96:145-55.
[114] Heeraman J, Kalyani R, Amala B. Towards a sustainable future: Design and fabrication of a solar-powered electric vehicle. InIOP conference series: earth and environmental science 2024 Jan 1 (Vol. 1285, No. 1, p. 012035). IOP Publishing.
[115] Morales JM, Perez-Ruiz J. Point estimate schemes to solve the probabilistic power flow. IEEE Transactions on power systems. 2007 Oct 29;22(4):1594-601.
[116] Alaee S, Hooshmand RA, Hemmati R. Stochastic transmission expansion planning incorporating reliability solved using SFLA meta-heuristic optimization technique. CSEE Journal of Power and Energy Systems. 2016 Jun 9;2(2):79-86.
[117] Cai D, Shi D, Chen J. Probabilistic load flow with correlated input random variables using uniform design sampling. International Journal of Electrical Power & Energy Systems. 2014 Dec 1;63:105-12.
[118] Soares J, Ghazvini MA, Vale Z, de Moura Oliveira PB. A multi-objective model for the day-ahead energy resource scheduling of a smart grid with high penetration of sensitive loads. Applied energy. 2016 Jan 15;162:1074-88.
[119] Talari S, Yazdaninejad M, Haghifam MR. Stochastic‐based scheduling of the microgrid operation including wind turbines, photovoltaic cells, energy storages and responsive loads. IET Generation, Transmission & Distribution. 2015 Sep;9(12):1498-509.
[120] Talari S, Yazdaninejad M, Haghifam MR. Stochastic‐based scheduling of the microgrid operation including wind turbines, photovoltaic cells, energy storages and responsive loads. IET Generation, Transmission & Distribution. 2015 Sep;9(12):1498-509.
[121] Allan RN, Da Silva AL, Burchett RC. Evaluation methods and accuracy in probabilistic load flow solutions. IEEE Transactions on Power Apparatus and Systems. 2007 Feb 26(5):2539-46.
[122] Schwippe J, Krause O, Rehtanz C. Extension of a probabilistic load flow calculation based on an enhanced convolution technique. In2009 IEEE PES/IAS Conference on Sustainable Alternative Energy (SAE) 2009 Sep 28 (pp. 1-6). IEEE.
Trends in Electrical Engineering
| Volume | 16 |
| 01 | |
| Received | 24/01/2026 |
| Accepted | 17/03/2026 |
| Published | 04/04/2026 |
| Publication Time | 70 Days |
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