| 引用本文: | 张美霞,蔡雅慧,杨秀,李丽.考虑用户充电差异性的家用电动汽车充电需求分布分析方法[J].电力自动化设备,2020,40(2): |
| ZHANG Meixia,CAI Yahui,YANG Xiu,LI Li.Charging demand distribution analysis method of household electric vehicles considering users’ charging difference[J].Electric Power Automation Equipment,2020,40(2): |
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| 摘要: |
| 针对家用电动汽车充电行为的随机性问题，在出行链理论的基础上提出一种计及停车时长充裕度以及分时电价的充电需求分布分析方法。首先，基于全美家庭出行调查数据和出行链理论，研究不同时刻出行量影响下的时空特征量；然后，根据预估的电量需求对用户进行分类，运用模糊推理分析停车时长充裕度以及分时电价对用户充电意愿的影响，构建不同用户的分层充电决策模型，得到充电需求的时空分布情况。算例结果表明，停车时长充裕度以及分时电价对用户的随机性充电行为具有引导作用，可使充电需求在时空分布中发生转移，整体分布出现降峰、避峰效应。 |
| 关键词: 家用电动汽车 充电需求 分层决策 停车时长充裕度 分时电价 |
| DOI：10.16081/j.epae.202002003 |
| 分类号:U469.72 |
| 基金项目:上海市地方能力建设基金资助项目(16020500900)；上海市科委项目(18DZ1203200) |
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| Charging demand distribution analysis method of household electric vehicles considering users’ charging difference |
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ZHANG Meixia, CAI Yahui, YANG Xiu, LI Li
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School of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200082, China
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| Abstract: |
| Aiming at the randomness problem of household electric vehicles’ charging behavior, based on the trip chain theory, a charging demand distribution analysis method is proposed, which considers the par-king time adequacy and time-of-use electricity price. Firstly, based on the NHTS(National Household Travel Survey) dataset and trip chain theory, the spatial and temporal characteristic quantities under the influence of travel volume at different times are studied. Then, users are classified according to the estimated electricity demand, and the influence of parking time adequacy and time-of-use electricity price on users’ charging intention is analyzed by using the fuzzy reasoning. The hierarchical charging decision models are established for different users and then the spatial and temporal distribution of charging demand is obtained. The example results show that the parking time adequacy and time-of-use electricity price have a guiding effect on users’ random charging behavior, so that the charging demand is shifted and the overall distribution has effects of peak drop and peak delay. |
| Key words: household electric vehicles charging demand hierarchical decision making parking time adequacy time-of-use electricity price |
