摘要
目前我国高速服务区和电动汽车的电力大部分来源于传统能源,间接增加了碳排放。为减少高速服务区和电动汽车用电对环境的污染,文章引入清洁能源自洽率,提出一种光储换一体化的高速服务区的能源管理与服务策略,旨在充分保障电动汽车换电服务的基础上,最大限度地提高经济效益和清洁能源自洽率。针对高速服务区的能源管理与服务策略的优化问题,文章提出一种改进的多目标量子遗传算法。由于传统量子遗传算法存在过早收敛、灵活性差且易陷入局部最优的不足,首先在种群初始化过程中引入小生境协同进化策略,其次对交叉概率、变异概率及旋转角采用自适应调整并改进量子旋转门,然后采用精英保留策略,以提高收敛速度并增加种群的多样性。最后,该方案在光储换一体化的某离网高速服务区微网模型进行了仿真验证,结果表明在保证电动汽车换电需求下,系统实现了经济效益和清洁能源自洽率的双提升,达到了降低碳排放的目的。
Most highway service areas(HSA)and electric vehicles(EV)in China consume traditional energy sources and have higher carbon emissions.To reduce the environmental pollution caused by electricity consumption of HSA and EV,this paper introduces a clean energy self-consistent rate and proposes an energy management and service strategy for HSA with integrated photovoltaic(PV)-storage-swapping.On the basis of guaranteeing swapping service,it aims to maximize economic efficiency and the clean energy self-reliance rate.This paper proposes an improved multi-objective quantum genetic algorithm for the optimization problem of energy management and service strategy in the HSA.Since the traditional quantum genetic algorithm suffers from premature convergence,poor flexibility and easy to fall into local optimum,this paper firstly introduces a microhabitat strategy in the population initialization process,secondly adaptively adjusts the crossover probability,variation probability and rotation angle and improves the quantum rotation gate,and then adopts an elite retention strategy to improve the convergence speed and increase the diversity of the population.Finally,the scheme is simulated and verified in an off-grid HSA micro-grid model with integrated PV-storage-swapping.The results show that the system achieves the double improvement of economic efficiency and clean energy self-consumption rate under the guarantee of battery swap demand,and achieves the purpose of carbon emission reduction.
作者
王飚
赵微微
林少军
柯吉
吴浩
WANG Biao;ZHAO Weiwei;LIN Shaojun;KE Ji;WU Hao(School of Electronics and Control Engineering,Chang’an University,Xi’an 710064,Shaanxi Province,China)
出处
《电网技术》
EI
CSCD
北大核心
2022年第5期1742-1751,共10页
Power System Technology
基金
科技部“一带一路”创新合作项目(DL20200027004)
道路基础设施智能感知理论与方法(2018YFB1600200)。
关键词
综合能源管理与服务策略
清洁能源自洽率
换电服务
改进的多目标量子遗传算法
integrated energy management and service strategy
clean energy self-consistent rate
swap service
improved multi-objective quantum genetic algorithm
