上海交通大学学报 ›› 2023, Vol. 57 ›› Issue (11): 1501-1511.doi: 10.16183/j.cnki.jsjtu.2022.131
所属专题: 《上海交通大学学报》2023年“新型电力系统与综合能源”专题
收稿日期:
2022-04-27
修回日期:
2022-07-18
接受日期:
2022-07-22
出版日期:
2023-11-28
发布日期:
2023-12-01
通讯作者:
杨之乐,博士,副研究员;E-mail: 作者简介:
邵 萍(1997-),硕士生,研究方向为EV入网及其优化调度.
基金资助:
SHAO Ping1, YANG Zhile2(), LI Kang3, ZHU Xiaodong1
Received:
2022-04-27
Revised:
2022-07-18
Accepted:
2022-07-22
Online:
2023-11-28
Published:
2023-12-01
摘要:
电动汽车(EV)保有量可观且具有储能的特性,使其参与电力系统运行调控提供备用服务成为可能.针对此建立基于EV用户意愿,以集电商经济收益、微电网功率波动和用户满意度为目标的多目标优化调度模型.考虑到负荷预测误差的影响,对模型进行日前阶段和日内实时修正阶段的多时间尺度优化调度分析.求解方法采用主流的多目标智能优化算法NSGA-III 算法,同时将NSGA-II 和MOEA/D算法作为对比算法,通过对比实验选出最优调度方案并分析EV提供备用容量的场景.仿真结果证明所提模型的有效性.
中图分类号:
邵萍, 杨之乐, 李慷, 朱晓东. 基于用户意愿的电动汽车备用容量多目标优化[J]. 上海交通大学学报, 2023, 57(11): 1501-1511.
SHAO Ping, YANG Zhile, LI Kang, ZHU Xiaodong. Multi-Objective Optimization of Electric Vehicle Spare Capacity Based on User Wishes[J]. Journal of Shanghai Jiao Tong University, 2023, 57(11): 1501-1511.
表1
模型参数值
时间 | 负荷/kW | 发电 功率/kW | 时间 | 负荷/kW | 发电 功率/kW |
---|---|---|---|---|---|
0:00 | 7000 | 6500 | 12:00 | 14000 | 14000 |
1:00 | 7500 | 6000 | 13:00 | 13000 | 13000 |
2:00 | 8500 | 6600 | 14:00 | 12000 | 12000 |
3:00 | 9500 | 7700 | 15:00 | 10500 | 10300 |
4:00 | 10000 | 8300 | 16:00 | 10000 | 9500 |
5:00 | 11000 | 9500 | 17:00 | 11000 | 10000 |
6:00 | 11500 | 10500 | 18:00 | 12000 | 12000 |
7:00 | 12000 | 12000 | 19:00 | 14000 | 14000 |
8:00 | 13000 | 13000 | 20:00 | 13000 | 13000 |
9:00 | 14000 | 14000 | 21:00 | 11000 | 10800 |
10:00 | 14500 | 14500 | 22:00 | 9000 | 9000 |
11:00 | 15000 | 15000 | 23:00 | 8000 | 8000 |
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