| 000 | 02947nlm1a2200445 4500 | ||
|---|---|---|---|
| 001 | 666027 | ||
| 005 | 20231030042023.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\37231 | ||
| 090 | _a666027 | ||
| 100 | _a20211130a2021 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 135 | _adrgn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aPerformance of Gradient-Based Optimizer on Charging Station Placement Problem _fH. Essam, D. Sanchari, D. A. Oliva Navarro [et al.] |
|
| 203 |
_aText _celectronic |
||
| 300 | _aTitle screen | ||
| 320 | _a[References: 54 tit.] | ||
| 330 | _aThe electrification of transportation is necessary due to the expanded fuel cost and change in climate. The management of charging stations and their easy accessibility are the main concerns for receipting and accepting Electric Vehicles (EVs). The distribution network reliability, voltage stability and power loss are the main factors in designing the optimum placement and management strategy of a charging station. The planning of a charging stations is a complicated problem involving roads and power grids. The Gradient-based optimizer (GBO) used for solving the charger placement problem is tested in this work. A good balance between exploitation and exploration is achieved by the GBO. Furthermore, the likelihood of becoming stuck in premature convergence and local optima is rare in a GBO. Simulation results establish the efficacy and robustness of the GBO in solving the charger placement problem as compared to other metaheuristics such as a genetic algorithm, differential evaluation and practical swarm optimizer. | ||
| 461 | _tMathematics | ||
| 463 |
_tVol. 9, iss. 21 _v[2821, 16 p.] _d2021 |
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| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _agradient-based optimizer (GBO) | |
| 610 | 1 | _acharging station placement problem | |
| 610 | 1 | _aelectric vehicles (EVs) | |
| 610 | 1 | _ametaheuristic algorithms | |
| 610 | 1 | _aоптимизаторы | |
| 610 | 1 | _aэлектромобили | |
| 610 | 1 | _aметаэвристические алгоритмы | |
| 701 | 1 |
_aEssam _bH. _gHoussein |
|
| 701 | 1 |
_aSanchari _bD. _gDeb |
|
| 701 | 1 |
_aOliva Navarro _bD. A. _cspecialist in the field of informatics and computer technology _cProfessor of Tomsk Polytechnic University _f1983- _gDiego Alberto _2stltpush _3(RuTPU)RU\TPU\pers\37366 |
|
| 701 | 1 |
_aHegazy _bR. _gRezk |
|
| 701 | 1 |
_aHesham _bA. _gAlhumade |
|
| 701 | 1 |
_aMokhtar _bS. _gSaid |
|
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИнженерная школа информационных технологий и робототехники _bОтделение информационных технологий _h7951 _2stltpush _3(RuTPU)RU\TPU\col\23515 |
| 801 | 2 |
_aRU _b63413507 _c20211130 _gRCR |
|
| 856 | 4 | _uhttps://doi.org/10.3390/math9212821 | |
| 942 | _cCF | ||