Optimized electric vehicle charging integrated in the unit commitment problem

Georgios Semertzidis, Dimitrios Stamatakis (), Vasilios Tsalavoutis and Athanasios I. Tolis
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Georgios Semertzidis: University of Athens
Dimitrios Stamatakis: University of Athens
Vasilios Tsalavoutis: University of Athens
Athanasios I. Tolis: University of Athens

Operational Research, 2022, vol. 22, issue 5, No 16, 5137-5204

Abstract: Abstract Displacing combustion engine vehicles with electric ones has recently emerged for reducing adverse environmental impacts and dependencies on fossil fuels. However, high electric vehicle penetration might disrupt the smooth operation of power sectors due to increased peak loads. A thorough investigation is therefore required, considering the charging of multiple electric vehicles, as flexible loads, in the Unit Commitment Problem. A novel approach for resolving this Operational Research problem is hereby presented, combining power flow and transmission constraints with various scenarios of electric vehicles’ penetration. A variant of Differential Evolution, aided by heuristic repair mechanisms, Priority Lists and advanced State-of-the-Art constraint handling techniques, is implemented to obtain feasible, near-optimal solutions. Well-established power systems including transmission constraints were used as benchmarks for testing the method proposed. The results are compared with those of a Mixed Integer-Linear algorithm based on the same formulation. They indicated that low and average demand cases might be resolved efficiently using the evolutionary approach proposed. As for large scale fleets, they might be handled by power systems at near optimal states exhibiting viable and resilient production schedules.

Keywords: Electric vehicles; Differential evolution; Unit commitment problem; Mixed integer linear programming; Optimized charging of electric vehicles; DC power flow (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s12351-022-00711-3

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