电器与能效管理技术 ›› 2020, Vol. 0 ›› Issue (11): 111-115.doi: 10.16628/j.cnki.2095-8188.2020.11.018

• 能效管理 • 上一篇    

促进可再生能源消纳的有序充电能量管理

熊焰, 李强泽, 于玮, 徐海波, 李绍辉   

  1. 易事特集团股份有限公司, 广东 东莞 523808
  • 收稿日期:2020-08-15 出版日期:2020-11-30 发布日期:2020-12-14
  • 作者简介:熊 焰(1981—),男,工程师,主要从事综合能源微网运行优化研究。|李强泽(1993—),男,主要从事通信工程研究。|于 玮(1980—),男,工程师,主要从事电力电子研究。
  • 基金资助:
    广东省重点领域研发计划项目(2019B090911001);东莞市引进创新科研团队计划资助项目(201536000200036)

Orderly Charge Energy Management to Promote the Consumption of Renewable Energy

XIONG Yan, LI Qiangze, YU Wei, XU Haibo, LI Shaohui   

  1. EAST Group Co.,Ltd., Dongguan 523808, China
  • Received:2020-08-15 Online:2020-11-30 Published:2020-12-14

摘要:

针对大规模电动汽车无序充电引起电网功率波动和可再生能源不确定性造成的消纳问题,提出了一种预约机制下的电动汽车有序充电能量管理模型。模型基于可再生能源出力预测值制定动态充电价格,引导电动汽车有序充电。模型采用改进遗传法进行求解,对多目标优化问题采用Pareto非支配快速排序法,并按照精英保留策略结合种群拥挤度生成新的父代,能够快速收敛并避免陷入局部最优。通过对某园区风储充电站进行仿真,验证了所提模型和算法的可行性和有效性,在缩小峰谷差的同时降低了充电成本,并提高了可再生能源的消纳,能量管理效果显著。

关键词: 有序充电, 能量管理, 动态优化, 用户满意度, 非支配排序

Abstract:

Aiming at the problem of power grid power fluctuation and renewable energy uncertainty caused by large-scale disordered charging of electric vehicles,an energy management model for orderly charging of electric vehicles under reservation mechanism was proposed.Based on the predicted value of renewable energy output,the dynamic charging price is formulated to guide the orderly charging of electric vehicles.The model is solved by the improved genetic algorithm.The pareto non-dominated quick sequencing method is used for multi-objective optimization problem,and a new parent generation is generated according to the elite retention strategy combined with population crowding degree,which can quickly converge and avoid falling into local optimum.Through the simulation of a park wind storage charging station,the feasibility and effectiveness of the proposed model and algorithm are verified.The charging cost is reduced while the peak valley difference is reduced,and the consumption of renewable energy is improved.The energy management effect is remarkable.

Key words: orderly charging, energy management, dynamic optimization, user’s satisfaction, non-dominated sorting

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