Spatio-temporal Optimal Scheduling of Electric Vehicles Based on Equivalent Load Real-time Tariff and Node Real-time Tariff Guidance

LUO Xu; 1; CHENG Jing; 1; 2; WANG Lixin; 1; XIAN Zezhou; 3

doi:10.13335/j.1000-3673.pst.2024.1417

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Spatio-temporal Optimal Scheduling of Electric Vehicles Based on Equivalent Load Real-time Tariff and Node Real-time Tariff Guidance

更新时间：2026-03-13

- Spatio-temporal Optimal Scheduling of Electric Vehicles Based on Equivalent Load Real-time Tariff and Node Real-time Tariff Guidance
- Vol. 49, Issue 11, Pages: 4670-4679(2025)
- 作者机构：
  
  新疆大学电气工程学院, 新疆维吾尔自治区,乌鲁木齐市,830017
- 作者简介：
- 基金信息：
- DOI：10.13335/j.1000-3673.pst.2024.1417
  CLC： U491.8;TM73
- Published：2025
- 稿件说明：
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LUO Xu, 1, CHENG Jing, et al. Spatio-temporal Optimal Scheduling of Electric Vehicles Based on Equivalent Load Real-time Tariff and Node Real-time Tariff Guidance[J]. 2025, 49(11): 4670-4679.
DOI：

LUO Xu, 1, CHENG Jing, et al. Spatio-temporal Optimal Scheduling of Electric Vehicles Based on Equivalent Load Real-time Tariff and Node Real-time Tariff Guidance[J]. 2025, 49(11): 4670-4679. DOI： 10.13335/j.1000-3673.pst.2024.1417.

摘要

针对大规模电动汽车(electric vehicle，EV)无序充电下，导致新能源消纳率较低、EV充电网损增大和配电网节点重载的问题，提出一种基于等效负荷实时电价和节点实时电价引导的阶梯式电动汽车时空优化调度策略。首先，由基础负荷、风电和光伏预测值制定等效负荷实时电价，引导在时间维度上响应积极的Ⅰ型EV集群充放电。其次，基于等效负荷实时电价，综合考虑节点网损灵敏度和节点负载率，制定节点实时电价，指引在空间维度上也响应积极的Ⅱ型EV用户选择充放电节点。以含风光的江苏某分布式电网为仿真对象展开研究，该策略能够实现EV集群的阶梯式利用，对提升新能源消纳率、降低充电网损和保证配电网的安全经济运行具有重要意义。

Abstract

Aiming at the problems of low new energy consumption rate

increased EV charging network loss

and distribution network node heavy load under the disordered charging of large-scale electric vehicles (EVs)

a proactive EV spatiotemporal optimal dispatch strategy based on the guidance of equivalent load real-time tariff and node real-time tariff is proposed. First

equivalent load real-time tariff is developed from base load

wind power

and photovoltaic power to guide the charging and discharging of Type Ⅰ EV clusters responsive to active EVs in the time dimension. Second

based on the equivalent load real-time tariff

the node real-time tariff is formulated by considering the node network loss sensitivity and the node load ratio to guide the Type Ⅱ EV users

who are also responsive in the spatial dimension

to select the charging and discharging nodes. A distributed grid in Jiangsu Province containing wind and solar energy is used as a simulation. This strategy can realize the stepwise utilization of EV clusters

which is of great significance to enhancing the rate of new energy consumption

reducing the charging network loss

and ensuring the security of the distribution network.

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