Swarm intelligence‐based energy management of electric vehicle charging station integrated with renewable energy sources
Summary This research paper proposes a detailed design problem of electrical vehicle (EV) fast‐charging stations to maximize the net profit. The charging station is integrated with the renewable energy sources (RES) and battery energy storage system (BESS) to minimize the energy demand from the grid...
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| Published in: | International journal of energy research Vol. 46; no. 15; pp. 21598 - 21618 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Chichester, UK
John Wiley & Sons, Inc
01.12.2022
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| Subjects: | |
| ISSN: | 0363-907X, 1099-114X |
| Online Access: | Get full text |
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| Abstract | Summary
This research paper proposes a detailed design problem of electrical vehicle (EV) fast‐charging stations to maximize the net profit. The charging station is integrated with the renewable energy sources (RES) and battery energy storage system (BESS) to minimize the energy demand from the grid. The performance indices of the design problem, such as the number of chargers and their rating, installed RES power, energy and power of the storage units, and dynamic power contracted by the grid to the EV charging station, is estimated through the proposed algorithm. The detailed modelling of the charging process considers the EV behavioural characteristics like arrival time, state of charge, departure time, and battery capacity and is simulated through sequential Monte‐Carlo method. The hybrid Crow Search Algorithm (hCSA), along with the particle swarm optimization (hCSA‐PSO), is adopted for the first time to optimize the charging station's installation and operational cost. The effectiveness of the proposed method is compared with a hybrid genetic pattern search algorithm, CSA, and PSO. Several case studies are considered, and it is observed that hCSA‐PSO provides the best‐optimized results in profit maximization. The cost‐benefit analysis is also performed to estimate the financial feasibility of both RES and BESS. |
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| AbstractList | Summary
This research paper proposes a detailed design problem of electrical vehicle (EV) fast‐charging stations to maximize the net profit. The charging station is integrated with the renewable energy sources (RES) and battery energy storage system (BESS) to minimize the energy demand from the grid. The performance indices of the design problem, such as the number of chargers and their rating, installed RES power, energy and power of the storage units, and dynamic power contracted by the grid to the EV charging station, is estimated through the proposed algorithm. The detailed modelling of the charging process considers the EV behavioural characteristics like arrival time, state of charge, departure time, and battery capacity and is simulated through sequential Monte‐Carlo method. The hybrid Crow Search Algorithm (hCSA), along with the particle swarm optimization (hCSA‐PSO), is adopted for the first time to optimize the charging station's installation and operational cost. The effectiveness of the proposed method is compared with a hybrid genetic pattern search algorithm, CSA, and PSO. Several case studies are considered, and it is observed that hCSA‐PSO provides the best‐optimized results in profit maximization. The cost‐benefit analysis is also performed to estimate the financial feasibility of both RES and BESS. This research paper proposes a detailed design problem of electrical vehicle (EV) fast‐charging stations to maximize the net profit. The charging station is integrated with the renewable energy sources (RES) and battery energy storage system (BESS) to minimize the energy demand from the grid. The performance indices of the design problem, such as the number of chargers and their rating, installed RES power, energy and power of the storage units, and dynamic power contracted by the grid to the EV charging station, is estimated through the proposed algorithm. The detailed modelling of the charging process considers the EV behavioural characteristics like arrival time, state of charge, departure time, and battery capacity and is simulated through sequential Monte‐Carlo method. The hybrid Crow Search Algorithm (hCSA), along with the particle swarm optimization (hCSA‐PSO), is adopted for the first time to optimize the charging station's installation and operational cost. The effectiveness of the proposed method is compared with a hybrid genetic pattern search algorithm, CSA, and PSO. Several case studies are considered, and it is observed that hCSA‐PSO provides the best‐optimized results in profit maximization. The cost‐benefit analysis is also performed to estimate the financial feasibility of both RES and BESS. |
| Author | Bhattacharjee, Chayan Ray, Priyanka Dhenuvakonda, Koteswara Raju |
| Author_xml | – sequence: 1 givenname: Priyanka orcidid: 0000-0002-7192-8928 surname: Ray fullname: Ray, Priyanka organization: National Institute of Technology – sequence: 2 givenname: Chayan orcidid: 0000-0001-5904-6706 surname: Bhattacharjee fullname: Bhattacharjee, Chayan email: chayan@ee.nits.ac.in organization: National Institute of Technology – sequence: 3 givenname: Koteswara Raju orcidid: 0000-0002-0120-2099 surname: Dhenuvakonda fullname: Dhenuvakonda, Koteswara Raju email: eswaar.raju@gmail.com organization: National Institute of Technology |
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| Cites_doi | 10.1002/er.5678 10.1016/j.epsr.2018.08.004 10.1109/TPWRS.2012.2186595 10.1109/TSG.2013.2272894 10.1109/EEEIC.2017.7977547 10.1155/2018/1968435 10.1049/iet-rpg.2018.6089 10.1016/j.jpowsour.2011.06.025 10.1016/j.jclepro.2021.128892 10.1109/JSYST.2014.2356559 10.1109/TII.2014.2334233 10.1016/j.renene.2013.11.019 10.1002/er.6995 10.1016/j.promfg.2020.03.054 10.1109/TPWRS.2012.2208273 10.1049/iet-gtd.2013.0256 10.1109/TVT.2016.2567066 10.1109/ICEES.2018.8442350 10.1016/j.omega.2015.11.010 10.1080/15567036.2018.1520354 10.1109/TII.2011.2172454 10.1016/j.epsr.2021.107451 10.1016/j.apenergy.2017.07.002 10.1016/j.enconman.2016.12.045 10.1109/TPWRS.2009.2034525 10.1002/er.5407 10.1016/j.renene.2017.01.066 10.1016/j.rser.2015.12.353 10.1109/TPWRS.2010.2049133 10.1109/TSTE.2013.2278544 10.1109/TIE.2017.2740834 10.1109/JSTSP.2014.2336624 10.1109/TPWRS.2009.2036481 10.2172/1114900 10.1016/j.jpowsour.2014.12.020 |
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| Copyright | 2021 John Wiley & Sons Ltd. 2022 John Wiley & Sons, Ltd. |
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| References | 2018; 164 2021; 43 2013; 4 2021; 45 2013; 28 2020; 42 2011 2017; 66 2019; 13 2021; 320 2011; 196 2015; 9 2018; 65 2017; 136 2016; 58 2014; 67 2014; 5 2018; 2018 2012; 3 2010; 25 2014; 3 2019; 41 2013; 2013 2015; 277 2018 2017 2020; 46 2020; 44 2011; 26 2021; 199 2012; 27 2013 2014; 8 2018; 10 2012; 8 2014; 10 2017; 107 Dharmakeerthi CH (e_1_2_11_11_1) 2011 Duggal I (e_1_2_11_49_1) 2018 Sungwoo B (e_1_2_11_26_1) 2012; 3 Zhou Y. (e_1_2_11_43_1) 2018; 2018 e_1_2_11_30_1 e_1_2_11_36_1 e_1_2_11_13_1 e_1_2_11_34_1 e_1_2_11_29_1 e_1_2_11_6_1 e_1_2_11_27_1 e_1_2_11_48_1 e_1_2_11_2_1 Reddy MSK (e_1_2_11_24_1) 2020; 42 Bilal M (e_1_2_11_40_1) 2021; 43 e_1_2_11_20_1 e_1_2_11_45_1 e_1_2_11_47_1 e_1_2_11_41_1 e_1_2_11_8_1 e_1_2_11_22_1 Fu H (e_1_2_11_32_1) 2018; 2018 e_1_2_11_17_1 e_1_2_11_15_1 e_1_2_11_38_1 e_1_2_11_19_1 Gupta K (e_1_2_11_42_1) 2020; 42 Masoum MAS (e_1_2_11_12_1) 2011 Dutta S (e_1_2_11_39_1) 2014; 3 e_1_2_11_50_1 e_1_2_11_10_1 e_1_2_11_31_1 e_1_2_11_14_1 e_1_2_11_33_1 e_1_2_11_7_1 e_1_2_11_28_1 Panaparambil VS (e_1_2_11_4_1) 2021; 45 e_1_2_11_5_1 e_1_2_11_3_1 Kumar RS (e_1_2_11_35_1) 2021; 45 e_1_2_11_21_1 e_1_2_11_44_1 e_1_2_11_25_1 e_1_2_11_9_1 e_1_2_11_23_1 e_1_2_11_18_1 Chang W.Y. (e_1_2_11_46_1) 2013; 2013 e_1_2_11_16_1 e_1_2_11_37_1 |
| References_xml | – volume: 26 start-page: 206 issue: 1 year: 2011 end-page: 213 article-title: Assessment of the impact of plug‐in electric vehicles on distribution networks publication-title: IEEE Trans Power Syst – volume: 107 start-page: 576 year: 2017 end-page: 589 article-title: Optimal design of electric vehicle charging stations considering various energy resources publication-title: Renew Energy – volume: 25 start-page: 1064 issue: 2 year: 2010 end-page: 1077 article-title: Biogeography‐based optimization for different economic load dispatch problems publication-title: IEEE Trans Power Syst – volume: 4 start-page: 2230 issue: 4 year: 2013 end-page: 2243 article-title: Optimizing the energy delivery via V2G systems based on stochastic inventory theory publication-title: IEEE Trans Smart Grid – start-page: 1 year: 2017 end-page: 5 – volume: 9 start-page: 1541 issue: 4 year: 2015 end-page: 1553 article-title: A review of charge scheduling of electric vehicles in smart grid publication-title: IEEE Syst J – volume: 10 start-page: 1113 year: 2018 end-page: 1125 article-title: Energy storage capacity optimization for autonomy microgrid considering CHP and EV scheduling publication-title: Appl Energy – volume: 3 start-page: 38 issue: 2 year: 2014 end-page: 58 article-title: Artificial bee colony optimization for optimal reactive power dispatch incorporating FACTS devices. International journal of energy publication-title: Optim Eng – volume: 136 start-page: 229 year: 2017 end-page: 239 article-title: Novel wind powered electric vehicle charging station with vehicle‐to‐grid (V2G) connection capability publication-title: Energ Conver Manage – volume: 46 start-page: 370 year: 2020 end-page: 377 article-title: Effects of electric vehicles on power networks publication-title: Proced Manuf – volume: 42 start-page: 1556 year: 2020 end-page: 7036 article-title: Optimal location identification for aggregated charging of electric vehicles in solar photovoltaic powered microgrids with reduced distribution losses publication-title: Energy Sourc A: Recov Util Environ Effects – start-page: 1 year: 2011 end-page: 7 – volume: 8 start-page: 1063 issue: 6 year: 2014 end-page: 1072 article-title: Optimized electric vehicle charging with intermittent renewable energy sources publication-title: IEEE J Sel Topics Signal Process – volume: 44 issue: 13 year: 2020 article-title: Environmental impact assessment of green energy systems for power supply of electric vehicle charging station publication-title: Int J Energy Res – volume: 13 start-page: 2221 issue: 12 year: 2019 end-page: 2231 article-title: Automatic generation control of a solar thermal and dish‐Stirling solar thermal system integrated multi‐area system incorporating accurate HVDC link model using crow search algorithm optimised FOPI minus FODF controller publication-title: IET Renew Power Gen – volume: 42 start-page: 1556 year: 2020 end-page: 7036 article-title: Optimal placement of electric vehicle charging station for unbalanced radial distribution systems publication-title: Energy Sources A: Recov Util Environ Effects – volume: 67 start-page: 40 year: 2014 end-page: 45 article-title: Design of a photovoltaic‐wind charging station for small electric Tuk‐Tuk in D.R publication-title: Congo Renewable Energy – year: 2018 – volume: 277 start-page: 205 year: 2015 end-page: 214 article-title: Impact analysis of vehicle‐to‐grid technology and charging strategies of electric vehicles on distribution networks – a review publication-title: J Power Sources – volume: 8 start-page: 1 issue: 1 year: 2012 end-page: 10 article-title: A survey on the electrification of transportation in a smart grid environment publication-title: IEEE Trans Indus Inform – volume: 199 start-page: 378 year: 2021 end-page: 7796 article-title: Optimal scheduling of electric vehicles charging in battery swapping station considering wind‐ photovoltaic accommodation publication-title: Electr Pow Syst Res – volume: 25 start-page: 371 issue: 1 year: 2010 end-page: 380 article-title: The impact of charging plug‐in hybrid electric vehicles on a residential distribution grid publication-title: IEEE Trans Power Syst – volume: 164 start-page: 201 year: 2018 end-page: 211 article-title: Multi‐objective optimization technique for the operation of grid tied PV powered EV charging station publication-title: Electr Pow Syst Res – volume: 65 start-page: 2806 issue: 3 year: 2018 end-page: 2816 article-title: Intelligent parking garage EV charging scheduling considering battery charging characteristic publication-title: IEEE Trans Ind Electron – volume: 2018 year: 2018 article-title: A novel optimization of plug‐in electric vehicles charging and discharging behaviors in electrical distribution grid publication-title: Hind J Electr Comput Eng – volume: 45 year: 2021 article-title: Optimal energy management of microgrids‐integrated nonconvex distributed generating units with load dynamics publication-title: Int J Energy Res – volume: 66 start-page: 1011 issue: 2 year: 2017 end-page: 1026 article-title: Dynamic pricing, scheduling, and energy management for profit maximization in PHEV charging stations publication-title: IEEE Trans Veh Technol – volume: 28 start-page: 749 issue: 2 year: 2013 end-page: 763 article-title: A new modified teaching‐learning algorithm for reserve constrained dynamic economic dispatch publication-title: IEEE Trans Power Syst – volume: 5 start-page: 577 issue: 2 year: 2014 end-page: 586 article-title: Real‐time energy management algorithm for plug‐in hybrid electric vehicle charging parks involving sustainable energy publication-title: IEEE Trans Sustain Energy – volume: 10 start-page: 2112 issue: 4 year: 2014 end-page: 2121 article-title: Optimization of sizing and battery cycle life in battery/Ultracapacitor hybrid energy storage systems for electric vehicle applications publication-title: IEEE Trans Indus Inform – volume: 45 start-page: 19819 year: 2021 end-page: 19850 article-title: A review on hybrid source energy management strategies for electric vehicle. International journal on energy publication-title: Research – volume: 320 start-page: 959 year: 2021 end-page: 6526 article-title: Environmental performance of electric vehicles on regional effective factors using system dynamics publication-title: J Clean Prod – volume: 3 start-page: 394 issue: 1 year: 2012 end-page: 403 article-title: Spatial and temporal model of electric vehicle charging demand publication-title: IEEE Trans Power Syst – volume: 43 start-page: 1556 year: 2021 end-page: 7036 article-title: Integration of electric vehicle charging stations and capacitors in distribution systems with vehicle‐to‐grid facility publication-title: Energy Sourc A: Recov Util Environ Effects – volume: 41 start-page: 734 issue: 6 year: 2019 end-page: 745 article-title: Utility‐scale solar photovoltaic hybrid system and performance analysis for eco‐friendly electric vehicle charging and sustainable home publication-title: Energy Sources A: Recov Util Environ Effects – volume: 45 year: 2021 article-title: Customer‐oriented energy demand management of grid connected microgrids. International journal of energy publication-title: Research – start-page: 1 year: 2011 end-page: 8 – volume: 8 start-page: 516 issue: 3 year: 2014 end-page: 529 article-title: Real‐time scheduling of electric vehicles charging in low‐voltage residential distribution systems to minimise power losses and improve voltage profile publication-title: IET Gen Trans Distrib – volume: 66 start-page: 278 year: 2017 end-page: 289 article-title: Scheduling and performance analysis under a stochastic model for electric vehicle charging stations publication-title: Omega – volume: 44 start-page: 6697 issue: 8 year: 2020 end-page: 6708 article-title: Economic model for an electric vehicle charging station with vehicle‐to‐grid functionality publication-title: Int J Energy Res – volume: 27 start-page: 1628 issue: 3 year: 2012 end-page: 1636 article-title: A methodology for optimization of power systems demand due to electric vehicle charging load publication-title: IEEE Trans Power Syst – volume: 58 start-page: 1039 year: 2016 end-page: 1047 article-title: Review of recent trends in optimization techniques for plug‐in hybrid, and electric vehicle charging infrastructures publication-title: Renew Sustain Energy Rev – volume: 2018 start-page: 1 year: 2018 end-page: 16 article-title: The multi‐objective based large‐scale electric vehicle charging Behaviours analysis publication-title: Complexity – volume: 2013 start-page: 1 year: 2013 end-page: 7 article-title: The state of charge estimating methods for battery: a review publication-title: Int Schol Res Notic – volume: 196 start-page: 8747 issue: 20 year: 2011 end-page: 8754 article-title: On the aggregate grid load imposed by battery health‐conscious charging of plug‐in hybrid electric vehicles publication-title: J Power Sources – year: 2013 – ident: e_1_2_11_5_1 doi: 10.1002/er.5678 – ident: e_1_2_11_29_1 doi: 10.1016/j.epsr.2018.08.004 – ident: e_1_2_11_44_1 doi: 10.1109/TPWRS.2012.2186595 – ident: e_1_2_11_18_1 doi: 10.1109/TSG.2013.2272894 – volume: 45 start-page: 18695–18712 year: 2021 ident: e_1_2_11_35_1 article-title: Customer‐oriented energy demand management of grid connected microgrids. International journal of energy publication-title: Research – ident: e_1_2_11_13_1 doi: 10.1109/EEEIC.2017.7977547 – volume: 2018 start-page: 1 year: 2018 ident: e_1_2_11_43_1 article-title: The multi‐objective based large‐scale electric vehicle charging Behaviours analysis publication-title: Complexity doi: 10.1155/2018/1968435 – ident: e_1_2_11_34_1 doi: 10.1049/iet-rpg.2018.6089 – ident: e_1_2_11_36_1 doi: 10.1016/j.jpowsour.2011.06.025 – ident: e_1_2_11_2_1 doi: 10.1016/j.jclepro.2021.128892 – volume: 45 start-page: 19819 year: 2021 ident: e_1_2_11_4_1 article-title: A review on hybrid source energy management strategies for electric vehicle. International journal on energy publication-title: Research – ident: e_1_2_11_3_1 doi: 10.1109/JSYST.2014.2356559 – ident: e_1_2_11_28_1 doi: 10.1109/TII.2014.2334233 – volume: 43 start-page: 1556 year: 2021 ident: e_1_2_11_40_1 article-title: Integration of electric vehicle charging stations and capacitors in distribution systems with vehicle‐to‐grid facility publication-title: Energy Sourc A: Recov Util Environ Effects – volume: 42 start-page: 1556 year: 2020 ident: e_1_2_11_42_1 article-title: Optimal location identification for aggregated charging of electric vehicles in solar photovoltaic powered microgrids with reduced distribution losses publication-title: Energy Sourc A: Recov Util Environ Effects – ident: e_1_2_11_31_1 doi: 10.1016/j.renene.2013.11.019 – ident: e_1_2_11_33_1 doi: 10.1002/er.6995 – ident: e_1_2_11_9_1 doi: 10.1016/j.promfg.2020.03.054 – ident: e_1_2_11_38_1 doi: 10.1109/TPWRS.2012.2208273 – start-page: 1 volume-title: Overview of the Impacts of Plug‐in Electric Vehicles on the Power Grid year: 2011 ident: e_1_2_11_11_1 – ident: e_1_2_11_15_1 doi: 10.1049/iet-gtd.2013.0256 – volume: 42 start-page: 1556 year: 2020 ident: e_1_2_11_24_1 article-title: Optimal placement of electric vehicle charging station for unbalanced radial distribution systems publication-title: Energy Sources A: Recov Util Environ Effects – start-page: 1 volume-title: Distribution Transformer Losses and Performance in Smart Grids with Residential Plug‐in Electric Vehicles year: 2011 ident: e_1_2_11_12_1 – ident: e_1_2_11_20_1 doi: 10.1109/TVT.2016.2567066 – ident: e_1_2_11_47_1 doi: 10.1109/ICEES.2018.8442350 – ident: e_1_2_11_41_1 doi: 10.1016/j.omega.2015.11.010 – volume-title: Cost Benefit Analysis: Concepts and Practice', Prentice Hall year: 2018 ident: e_1_2_11_49_1 – ident: e_1_2_11_17_1 doi: 10.1080/15567036.2018.1520354 – volume: 3 start-page: 38 issue: 2 year: 2014 ident: e_1_2_11_39_1 article-title: Artificial bee colony optimization for optimal reactive power dispatch incorporating FACTS devices. International journal of energy publication-title: Optim Eng – ident: e_1_2_11_8_1 doi: 10.1109/TII.2011.2172454 – volume: 2013 start-page: 1 year: 2013 ident: e_1_2_11_46_1 article-title: The state of charge estimating methods for battery: a review publication-title: Int Schol Res Notic – ident: e_1_2_11_30_1 doi: 10.1016/j.epsr.2021.107451 – ident: e_1_2_11_27_1 doi: 10.1016/j.apenergy.2017.07.002 – ident: e_1_2_11_23_1 doi: 10.1016/j.enconman.2016.12.045 – ident: e_1_2_11_37_1 doi: 10.1109/TPWRS.2009.2034525 – ident: e_1_2_11_25_1 doi: 10.1002/er.5407 – ident: e_1_2_11_22_1 doi: 10.1016/j.renene.2017.01.066 – volume: 2018 start-page: 5091084 year: 2018 ident: e_1_2_11_32_1 article-title: A novel optimization of plug‐in electric vehicles charging and discharging behaviors in electrical distribution grid publication-title: Hind J Electr Comput Eng – ident: e_1_2_11_7_1 doi: 10.1016/j.rser.2015.12.353 – ident: e_1_2_11_10_1 doi: 10.1109/TPWRS.2010.2049133 – ident: e_1_2_11_16_1 doi: 10.1109/TSTE.2013.2278544 – ident: e_1_2_11_45_1 – ident: e_1_2_11_19_1 doi: 10.1109/TIE.2017.2740834 – ident: e_1_2_11_21_1 doi: 10.1109/JSTSP.2014.2336624 – ident: e_1_2_11_50_1 – ident: e_1_2_11_14_1 doi: 10.1109/TPWRS.2009.2036481 – ident: e_1_2_11_48_1 doi: 10.2172/1114900 – volume: 3 start-page: 394 issue: 1 year: 2012 ident: e_1_2_11_26_1 article-title: Spatial and temporal model of electric vehicle charging demand publication-title: IEEE Trans Power Syst – ident: e_1_2_11_6_1 doi: 10.1016/j.jpowsour.2014.12.020 |
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This research paper proposes a detailed design problem of electrical vehicle (EV) fast‐charging stations to maximize the net profit. The charging... This research paper proposes a detailed design problem of electrical vehicle (EV) fast‐charging stations to maximize the net profit. The charging station is... |
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| SubjectTerms | Algorithms Alternative energy sources Cost benefit analysis Design Electric vehicle charging electric vehicle charging station Electric vehicles Electronic equipment Energy demand Energy management energy management and renewable energy sources Energy resources Energy storage hybrid genetic pattern search algorithm (hGPS) Intelligence Operating costs Particle swarm optimization Pattern search Performance indices Profit Renewable energy Renewable energy sources Renewable resources Scientific papers Search algorithms Storage units Swarm intelligence |
| Title | Swarm intelligence‐based energy management of electric vehicle charging station integrated with renewable energy sources |
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