由光伏系统和电动汽车充电站组成的直流微电网多目标优化调度

Xinyi Lu, Nian Liu, Qifang Chen, Jianhua Zhang
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引用次数: 37

摘要

光伏系统与电动汽车充电站的集成是一种典型的可再生资源就地利用方式。本文研究了由光伏系统和电动汽车充电站组成的直流微电网的多目标优化调度问题。基于直流微电网的结构和各组成部分的功能,建立了以蓄电池购电成本和能量循环成本为目标函数的调度多目标优化数学模型,并用NSGA-II进行求解。该模型考虑了电动汽车充电时间、蓄电池充放电功率和荷电状态范围、配电网供电率和系统功率平衡等约束条件。通过实例分析,验证了模型的合理性。与即时充电方案相比,优化方案在降低成本和能量循环方面具有优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-objective optimal scheduling of a DC micro-grid consisted of PV system and EV charging station
Integration of PV system and EV charging station is a typical way of spot utilization of renewable resources. Research on multi-objective optimal scheduling of a DC micro-grid consisted of PV system and EV charging station is proposed in this paper. Based on the structure of the DC micro-grid and function of each component, mathematical model of the multi-objective optimization for scheduling, which takes the cost of electricity purchasing and energy circulation of storage batteries as objective functions, is built and then solved with NSGA-II. Constraints including EVs' charging time, the range of the charging/discharging power and SOC (state of charge) of the storage batteries, power supply rate of the distribution network and system power balance are considered in this model. A certain case is studied and verifies the model's rationality. Compared with an instant charging plan, the optimal scheme is superior in reducing cost and energy circulation.
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