A Fast Hybrid Meta-Heuristic Algorithm for Economic/Environment Unit Commitment with Renewables and Plug-In Electric Vehicles
作者： Zhile Yang , Qun Niu , Yuanjun Guo , Haiping Ma , Boyang Qu
DOI: 10.1007/978-3-319-93815-8_45
关键词:
摘要: To tackle with the urgent scenario of significant green house gas and air pollution emissions, it is pressing for modern power system operators to consider environmental issues in conventional economic based scheduling. Likewise, renewable generations plug-in electric vehicles are both leading contributors reducing emission cost, however their integrations into grid remain be a remarkable challenging issue. In this paper, dual-objective economic/emission unit commitment problem modelled considering vehicles. A novel fast hybrid meta-heuristic algorithm proposed combing binary teaching-learning optimization self-adaptive differential evolution solving mix-integer problem. Numerical studies illustrate competitive performance method, cost have been remarkably reduced.
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