孟祥泽. 含电动汽车的微电网多目标优化调度研究[J]. 黑龙江电力, 2024, 46(2): 122-127. DOI: 10.13625/j.cnki.hljep.2024.02.005
引用本文: 孟祥泽. 含电动汽车的微电网多目标优化调度研究[J]. 黑龙江电力, 2024, 46(2): 122-127. DOI: 10.13625/j.cnki.hljep.2024.02.005
MENG Xiang-ze. Multi-objective optimization scheduling of microgrids containing electric vehicles[J]. Heilongjiang Electric Power, 2024, 46(2): 122-127. DOI: 10.13625/j.cnki.hljep.2024.02.005
Citation: MENG Xiang-ze. Multi-objective optimization scheduling of microgrids containing electric vehicles[J]. Heilongjiang Electric Power, 2024, 46(2): 122-127. DOI: 10.13625/j.cnki.hljep.2024.02.005

含电动汽车的微电网多目标优化调度研究

Multi-objective optimization scheduling of microgrids containing electric vehicles

  • 摘要: 为维护电力系统稳定性,降低区域电网等效负荷波动,提高可再生能源消纳能力,建立包含风电、光伏、电动汽车、燃气轮机等主要设备的含电动汽车微电网系统模型。以综合运行成本最低、电动汽车收益最大、等效负荷曲线方差最小为目标函数,在满足各种设备出力和功率平衡等约束条件下,采用改进的多目标粒子群算法进行模型求解。通过算例仿真,验证该模型具有可行性。

     

    Abstract: In order to maintain the stability of the power system, reduce fluctuations in the equivalent load of the regional power grid, and improve the integration capacity of renewable energy, a microgrid system model is established in this study. The model includes major equipment such as wind power units, photovoltaic systems, electric vehicles, and gas turbines. The objective function of the model is to minimize the comprehensive operating cost, maximize the benefits of electric vehicles, and minimize the variance of the equivalent load curve. The model is solved using an improved multi-objective particle swarm optimization algorithm, while satisfying various constraints such as equipment output and power balance. The effectiveness and rationality of the model are verified through simulation examples.

     

/

返回文章
返回