| 引用本文: | 王均,黄钶然,许潇,吴兰,姜伟,黄明山.基于阶梯碳价和自适应分时电价的电动汽车有序充电[J].电力自动化设备,2024,44(2):64-71. |
| WANG Jun,HUANG Keran,XU Xiao,WU Lan,JIANG Wei,HUANG Mingshan.Ordered charging of electric vehicles based on ladder-type carbon price and adaptive time-of-use electricity price[J].Electric Power Automation Equipment,2024,44(2):64-71. |
|
| 摘要: |
| 将阶梯碳价与分时电价的耦合关系进行内联，提出了一种基于阶梯碳价和自适应分时电价的电动汽车有序充电策略。利用蒙特卡罗方法生成电动汽车的无序充电场景；建立阶梯碳价模型和自适应分时电价模型；以电网日负荷均方差最小、电动汽车用户充电总成本最小和发电商碳交易成本最小为目标函数，建立电碳双定价机制下的电动汽车有序充电模型，并采用带精英策略的快速非支配排序遗传算法(NSGA-Ⅱ)，结合熵权逼近理想解排序(TOPSIS)模型求解Pareto解集的最优折中解；对4种碳交易机制下的优化结果进行对比分析。仿真结果表明，在有奖励阶梯碳价和自适应分时电价机制下电网负荷波动平抑效果最佳且发电商碳交易成本最小，验证了所提模型的合理性和可行性。 |
| 关键词: 电动汽车 碳交易机制 阶梯碳价 自适应分时电价 有序充电 熵权TOPSIS模型 NSGA-Ⅱ 灵敏度分析 |
| DOI：10.16081/j.epae.202304012 |
| 分类号: |
| 基金项目:国家自然科学基金资助项目(61973103,52207128)；河南省科技攻关资助项目(222102240061)；豫工信联产融资助项目(2020-411051-64-03-113926)；河南工业大学高层次人才科研基金资助项目(2019BS023)；河南省大学生创新创业训练计划项目(202210463042) |
|
| Ordered charging of electric vehicles based on ladder-type carbon price and adaptive time-of-use electricity price |
|
WANG Jun1, HUANG Keran1, XU Xiao2, WU Lan3, JIANG Wei4, HUANG Mingshan4
|
|
1.College of Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China;2.College of Electrical Engineering, Sichuan University, Chengdu 610065, China;3.College of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China;4.Henan XJ Metering Co.,Ltd.,Xuchang 461000, China
|
| Abstract: |
| By inlining the coupling relationship between ladder-type carbon price and time-of-use electricity price, an ordered charging strategy of electric vehicles(EVs) based on ladder-type carbon price and adaptive time-of-use electricity price is proposed. Monte Carlo method is used to generate the EV disordered charging scenarios. The ladder-type carbon price model and the adaptive time-of-use electricity price model are established. Taking the minimum mean square error of power grid daily load, the minimum total charging cost of EV users and the minimum carbon trading cost of generation companies as the objective functions, the ordered charging model of EVs under the electricity-carbon dual pricing mechanism is established. Combining with the technique for order preference by similarity to an ideal solution(TOPSIS) model, the fast and elitist non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ) with elite strategy is used to obtain the optimal compromise solution of the Pareto solution set. The optimization results of four carbon trading mechanisms are compared and analyzed. Simulative results show that the load fluctuation smoothing effect is the best and the carbon trading cost of generation companies is the smallest under the incentive ladder-type carbon price and adaptive time-of-use electricity price mechanism, which verifies the rationality and feasibility of the proposed model. |
| Key words: electric vehicles carbon trading mechanism ladder-type carbon price adaptive time-of-use electricity price ordered charging entropy weight-based TOPSIS model NSGA-Ⅱ sensitivity analysis |
