| 引用本文: | 占智,邹波,林振智,文福拴,李波,李梁,毛建伟.计及可转移充放电量裕度的电动汽车充放电实时调度策略[J].电力自动化设备,2018,(6): |
| ZHAN Zhi,ZOU Bo,LIN Zhenzhi,WEN Fushuan,LI Bo,LI Liang,MAO Jianwei.Real-time dispatch strategy for charging/discharging of electric vehicles considering transferable margin of charging/discharging energy[J].Electric Power Automation Equipment,2018,(6): |
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| 摘要: |
| 大量电动汽车(EVs)无序充放电会影响电力系统的安全与经济运行。随着EVs渗透率的逐步提高，研究EVs的有序充放电策略就具有实际意义。首先，在考虑EV充放电可调度时间与可调度电量、用户参与意愿因素的基础上，提出EV可转移充放电量裕度的概念，用于量化充放电量的调度灵活性。构建了计及可转移充放电量裕度的EVs充放电实时调度模型。其次，针对每个调度时段，该模型分两步求取EV充放电调度计划：第一步构建以调度时间区间内的系统总负荷水平的方差最小化为目标的二次规划模型，以求取当前时段EVs总的充电和放电功率；第二步发展以未参与充放电的EVs的可转移充放电量裕度最大化为目标的整数规划模型，求取满足第一步所求EVs总的充电和放电功率要求的充放电调度计划。然后，采用YALMIP/CPLEX高效求解器求解所构建的优化模型。最后，采用算例对所提EV充放电调度策略的有效性进行了验证，仿真结果表明所提EV充放电调度策略较EV随机充放电可明显改善负荷轮廓。 |
| 关键词: 电动汽车 充放电策略 实时调度 可转移裕度 削峰填谷 模型 |
| DOI：10.16081/j.issn.1006-6047.2018.06.016 |
| 分类号:TM734;U469.72 |
| 基金项目:国家重点研发计划项目(2016YFB0901100)；国网浙江省电力公司科研项目(5211DF150007) |
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| Real-time dispatch strategy for charging/discharging of electric vehicles considering transferable margin of charging/discharging energy |
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ZHAN Zhi1, ZOU Bo1, LIN Zhenzhi1, WEN Fushuan1,2, LI Bo3, LI Liang3, MAO Jianwei3
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1.School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.Department of Electrical & Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei;3.Division of Electric Vehicle Service, State Grid Zhejiang Electric Power Company, Hangzhou 310007, China
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| Abstract: |
| Disordered charging/discharging of numerous EVs(Electric Vehicles) will influence the secure and economic operation of power system. With the ever-increasing penetration level of EVs, it is of practical significance to study the ordered charging/discharging strategy of EVs. Firstly, taking the schedulable time and schedulable capacity of EV charging/discharging and willingness-to-participation of EV owners into account, the concept of transferable margin of charging/discharging energy is defined to quantify the dispatch flexibility of charging/discharging capacity, based on which, a real-time dispatch model for ordered charging/discharging of EVs is established. Then, the EV charging/discharging dispatch strategy is solved by two steps in each dispatch period. In the first step, a quadratic programming model is formulated to determine the total charging/discharging power of EVs, which takes the minimum variance of the total system load in a dispatch time interval as its objective. In the second step, an integer programming model is established to obtain the charging/discharging dispatch plan meeting the EVs’ total charging/discharging power requirement solved in the first step, which takes the maximum transferable margin of charging/discharging energy of EVs not engaged in charging/discharging as its objective. Then, the established optimization models are solved by the YALMIP/CPLEX solver with high-performance. Finally, the effectiveness of the proposed strategy is demonstrated by an example, and simulative results show that the proposed strategy can improve the system load profile effectively compared with the EV random charging/discharging strategy. |
| Key words: electric vehicles charging/discharging strategy real-time dispatch transferable margin load shift models |
