考虑调峰成本的大规模电动汽车分群调度策略

doi:10.3969/j.issn.2097-0706.2022.11.002

综合智慧能源 ›› 2022, Vol. 44 ›› Issue (11): 12-19.doi: 10.3969/j.issn.2097-0706.2022.11.002

考虑调峰成本的大规模电动汽车分群调度策略

王康平¹^,^*(), 黄曲粲²(), 张兴科¹(), 万芳茹²(), 魏朝阳¹(), 刘财华²(), 田浩²(), 魏聪³(), 周霞³^,^*()

1.国家电网有限公司西北分部，西安 710048
2.国电南瑞科技股份有限公司，南京 211106
3.南京邮电大学自动化学院人工智能学院，南京 210023

收稿日期:2022-04-20 修回日期:2022-08-20 出版日期:2022-11-25 发布日期:2022-12-21
通讯作者: 王康平,周霞
作者简介:黄曲粲（1984），女，工程师，从事电力工程方面工作，huangqucan@sgepri.sgcc.com；
张兴科（1988），男，高级工程师，硕士，从事电力系统稳定方面工作，xkzhang757@126.com；
万芳茹（1973），女，正高级工程师，硕士，从事计算机科学与技术方面工作，wanfangru@sgepri.sgcc.com.cn；
魏朝阳（1991），男，工程师，从事电力系统稳定方面工作，wzyzy1234@163.com；
刘财华（1986），男，高级工程师，从事电力工程方面工作，liucaihua@sgepri.sgcc.com.cn；
田浩（1991），男，助理工程师，从事电力工程方面工作，759068968@qq.com；
魏聪（1998），男，在读硕士研究生，从事电力系统稳定方面的研究，996594347@qq.com。
基金资助:
国家自然科学基金项目(61933005)

Strategy for large-scale electric vehicles cluster scheduling considering peak-shaving cost

WANG Kangping¹^,^*(), HUANG Qucan²(), ZHANG Xingke¹(), WAN Fangru²(), WEI Chaoyang¹(), LIU Caihua²(), TIAN Hao²(), WEI Cong³(), ZHOU Xia³^,^*()

1. Northwest Branch of State Grid Corporation of China，Xi'an 710048，China
2. NARI Technology Company Limited，Nanjing 211106，China
3. College of Automation & College of Artificial Intelligence，Nanjing University of Posts and Telecommunications，Nanjing 210023，China

Received:2022-04-20 Revised:2022-08-20 Online:2022-11-25 Published:2022-12-21
Contact: WANG Kangping,ZHOU Xia

摘要/Abstract

摘要：

随着大规模新能源和电动汽车（EV）并网，电网出现功率波动、调峰成本过高等问题。为缓解电网调峰压力，实现电网安全、经济运行，提出一种考虑调峰成本的EV分群调度策略。首先以EV与电网互动方式、充放电特性为判别量对EV进行分群，分别构建单向、双向、换电型3种EV负荷模型；其次考虑EV参与调峰的成本因素，构建计及成本的EV调峰定价模型，并基于该模型以负荷峰谷差最小为目标，对区域电网下的集群EV进行调峰定价；然后根据调峰定价阶段得到的结果制定EV参与调峰的动态电价，以系统各项运行成本的期望值之和最小为目标安排EV负荷。最后在改进的区域电网系统中仿真，仿真结果验证了调峰策略的有效性以及该定价策略的经济性。

关键词: 电动汽车, 分群调度, 分时电价, 两阶段优化, 辅助调峰, 储能, 新能源

Abstract:

Large-scale grid-connection of new energy and electric vehicles（EVs）leads to volatile power fluctuation and excessive peak-shaving cost. In order to alleviate the pressure of peak shaving and realize the safe and economic operation of the power grid，an EV cluster scheduling strategy considering peak-shaving cost is proposed. Based on the interaction mode between EVs and the power grid and their charging and discharging characteristics，EV load models can be classified into three groups，uni-directional，bi-directional and battery swapping models. Then，an EV peak-shaving pricing model considering the impact of EV participation on peak-shaving cost is constructed. Aiming at the minimal load fluctuation， the pricing strategy for cluster scheduling of EVs in a regional power grid is proposed， and the dynamic electricity price considering EV participation in peak shaving is formulated according to the results obtained from the peak-shaving pricing strategy. EV loads are scheduled with the smallest sum of the expected values of various operating costs as the objective. The effectiveness of the peak load regulation strategy and the economy of the pricing strategy are verified by the simulation result of an improved regional power grid system

Key words: electric vehicle, cluster schedule, time-of-use tariff, two-stage optimization, auxiliary peak shaving, energy storage, new energy

中图分类号:

TK01

王康平, 黄曲粲, 张兴科, 万芳茹, 魏朝阳, 刘财华, 田浩, 魏聪, 周霞. 考虑调峰成本的大规模电动汽车分群调度策略[J]. 综合智慧能源, 2022, 44(11): 12-19.

WANG Kangping, HUANG Qucan, ZHANG Xingke, WAN Fangru, WEI Chaoyang, LIU Caihua, TIAN Hao, WEI Cong, ZHOU Xia. Strategy for large-scale electric vehicles cluster scheduling considering peak-shaving cost[J]. Integrated Intelligent Energy, 2022, 44(11): 12-19.

图/表 7

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节点	最小出力/MW	最大出力/MW	燃料成本系数
节点	最小出力/MW	最大出力/MW	a_i/ （元·MW^-2）	b_i/ （元·MW^-1）	c_i/元
1	20	300	0.002 00	16.60	700
2	20	300	0.002 11	16.50	680
7	25	250	0.003 98	19.70	450
13	20	250	0.007 12	22.26	370
14	100	200	0.006 30	16.51	502

考虑调峰成本的大规模电动汽车分群调度策略

Strategy for large-scale electric vehicles cluster scheduling considering peak-shaving cost

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