Abstract
Based on the typical timing characteristics of Distributed Generation (DG) and user power load, considering the uncertainty of large-scale electric vehicles and the environmental benefits of different distributed power sources, the operating cost, network loss and environmental benefit of the distribution network are used as the objective function. In this paper, a Monte Carlo simulation method is used to simulate the charging characteristic of the electric vehicle, and the model is solved by the binary bat algorithm. By comparing with a single-purpose distributed power optimization configuration model, the simulation results verify the rationality and validity of the proposed model and method.
Foundation item: Supported by the Technical Projects of China Southern Power Grid (No. GDKJXM20172939).
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Cao, H., Wu, Y., Gao, C., Tang, J., Chen, L. (2020). Multi-objective Optimal Allocation of Distributed Generation Considering Environmental Target and Uncertainty of EV. In: Xue, Y., Zheng, Y., Rahman, S. (eds) Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control. Lecture Notes in Electrical Engineering, vol 585. Springer, Singapore. https://doi.org/10.1007/978-981-13-9783-7_18
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DOI: https://doi.org/10.1007/978-981-13-9783-7_18
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