Multi-Criteria Optimization of Vehicle-to-Grid Service to Minimize Battery Degradation and Electricity Costs
Increased use of renewable energy sources in energy sector as well as improvements and electrification in transportation sector significantly contribute to reduction of green-house gasses emissions and mitigation of problems with fossil fuel dependency. Optimal integration of electric vehicles (EVs)...
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| Format: | Article |
| Language: | English |
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Kaunas University of Technology
2022-06-01
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| Series: | Elektronika ir Elektrotechnika |
| Subjects: | |
| Online Access: | https://eejournal.ktu.lt/index.php/elt/article/view/31238 |
| _version_ | 1811226807113875456 |
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| author | Dario Javor Nebojsa Raicevic Dardan Klimenta Aleksandar Janjic |
| author_facet | Dario Javor Nebojsa Raicevic Dardan Klimenta Aleksandar Janjic |
| author_sort | Dario Javor |
| collection | DOAJ |
| description | Increased use of renewable energy sources in energy sector as well as improvements and electrification in transportation sector significantly contribute to reduction of green-house gasses emissions and mitigation of problems with fossil fuel dependency. Optimal integration of electric vehicles (EVs) into the grids and their charging/discharging schedules have to be realized in accordance with electricity demand, day-ahead electricity market prices and intermittency of photovoltaic and wind generators electricity production. A microgrid that includes non-deferrable loads, renewable energy sources, EV fleet and its charging station is analyzed in this paper. Its Vehicle-to-Grid (V2G) service is optimized with the aim of minimizing the operational costs and obtaining peak load shaving and valley filling of the load curve, which is especially effective in the case of EVs fleet with occupational time intervals known in advance.
Optimized schedule of EVs charging and discharging is obtained as a result of the procedure that uses multi-criteria optimization function. These criteria include minimization of microgrid electricity costs as the local aggregator’s benefit, maximization of the flattening of total microgrid demand curve as main grid operator’s benefit, and minimization of battery degradation (due to a number of charging/discharging cycles) as EVs owner’s benefit which is the novelty of this paper. Experimental analysis is performed on several scenarios and program Lingo is used to solve the optimization problem. |
| first_indexed | 2024-04-12T09:31:22Z |
| format | Article |
| id | doaj.art-74661cda4ac24938b74cd5f92fdc5c1a |
| institution | Directory Open Access Journal |
| issn | 1392-1215 2029-5731 |
| language | English |
| last_indexed | 2024-04-12T09:31:22Z |
| publishDate | 2022-06-01 |
| publisher | Kaunas University of Technology |
| record_format | Article |
| series | Elektronika ir Elektrotechnika |
| spelling | doaj.art-74661cda4ac24938b74cd5f92fdc5c1a2022-12-22T03:38:21ZengKaunas University of TechnologyElektronika ir Elektrotechnika1392-12152029-57312022-06-01283242910.5755/j02.eie.3123836492Multi-Criteria Optimization of Vehicle-to-Grid Service to Minimize Battery Degradation and Electricity CostsDario Javor0https://orcid.org/0000-0002-6089-3555Nebojsa Raicevic1https://orcid.org/0000-0003-0498-2307Dardan Klimenta2https://orcid.org/0000-0003-0019-8371Aleksandar Janjic3https://orcid.org/0000-0001-8677-5162Faculty of Occupational Safety, University of Nis, SerbiaFaculty of Electronic Engineering, University of Nis, SerbiaFaculty of Technical Sciences, University of Pristina in Kosovska Mitrovica, SerbiaFaculty of Electronic Engineering, University of Nis, SerbiaIncreased use of renewable energy sources in energy sector as well as improvements and electrification in transportation sector significantly contribute to reduction of green-house gasses emissions and mitigation of problems with fossil fuel dependency. Optimal integration of electric vehicles (EVs) into the grids and their charging/discharging schedules have to be realized in accordance with electricity demand, day-ahead electricity market prices and intermittency of photovoltaic and wind generators electricity production. A microgrid that includes non-deferrable loads, renewable energy sources, EV fleet and its charging station is analyzed in this paper. Its Vehicle-to-Grid (V2G) service is optimized with the aim of minimizing the operational costs and obtaining peak load shaving and valley filling of the load curve, which is especially effective in the case of EVs fleet with occupational time intervals known in advance. Optimized schedule of EVs charging and discharging is obtained as a result of the procedure that uses multi-criteria optimization function. These criteria include minimization of microgrid electricity costs as the local aggregator’s benefit, maximization of the flattening of total microgrid demand curve as main grid operator’s benefit, and minimization of battery degradation (due to a number of charging/discharging cycles) as EVs owner’s benefit which is the novelty of this paper. Experimental analysis is performed on several scenarios and program Lingo is used to solve the optimization problem.https://eejournal.ktu.lt/index.php/elt/article/view/31238cost functionelectric vehiclesmicrogridsoptimizationrenewable energy sources |
| spellingShingle | Dario Javor Nebojsa Raicevic Dardan Klimenta Aleksandar Janjic Multi-Criteria Optimization of Vehicle-to-Grid Service to Minimize Battery Degradation and Electricity Costs Elektronika ir Elektrotechnika cost function electric vehicles microgrids optimization renewable energy sources |
| title | Multi-Criteria Optimization of Vehicle-to-Grid Service to Minimize Battery Degradation and Electricity Costs |
| title_full | Multi-Criteria Optimization of Vehicle-to-Grid Service to Minimize Battery Degradation and Electricity Costs |
| title_fullStr | Multi-Criteria Optimization of Vehicle-to-Grid Service to Minimize Battery Degradation and Electricity Costs |
| title_full_unstemmed | Multi-Criteria Optimization of Vehicle-to-Grid Service to Minimize Battery Degradation and Electricity Costs |
| title_short | Multi-Criteria Optimization of Vehicle-to-Grid Service to Minimize Battery Degradation and Electricity Costs |
| title_sort | multi criteria optimization of vehicle to grid service to minimize battery degradation and electricity costs |
| topic | cost function electric vehicles microgrids optimization renewable energy sources |
| url | https://eejournal.ktu.lt/index.php/elt/article/view/31238 |
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