含电动汽车的工业园区综合能源系统优化调度

doi:10.11930/j.issn.1004-9649.202402003

摘要/Abstract

摘要：

提出了一种含电动汽车负荷的工业园区综合能源系统优化调度策略。首先，基于不同时段的负荷特性差异以及电动汽车用户的需求差异，建立电动汽车柔性充放电模型；其次，针对园区中氢能需求，建立了相关的氢能设备模型；然后，将电动汽车集群、分布式光伏和氢能设备集成至综合能源系统中，经由二阶锥松弛处理形成一体化数学模型；最后考虑具有太阳能光伏与电动汽车集群的工业园区综合能源系统能量管理与能源交易，进一步分析其日常运行状态。研究结果表明：所提策略能兼顾综合能源系统运行收益和风险成本的平衡。

关键词: 电动汽车, 综合能源系统, 优化调度

Abstract:

The paper proposes an optimal scheduling strategy for the integrated energy system of an industrial park containing electric vehicle loads. First, based on the differences in load characteristics at different times and the differences in demand of electric vehicle users, a flexible charging and discharging model for electric vehicles is established. Second, the relevant hydrogen energy equipment model is established for the special hydrogen energy demand in the park. Then, the electric vehicle cluster, distributed photovoltaic and hydrogen equipment are integrated into the comprehensive energy system, and an integrated mathematical model is formed by the second-order cone relaxation process. Finally, the energy management and energy trading of the integrated energy system in an industrial park with solar photovoltaic and electric vehicle clusters are considered to further analyze its daily operation status. The results show that the proposed strategy can balance the operational benefits and risk-cost of the integrated energy system.

Key words: electric vehicles, integrated energy systems, optimal dispatching

吕志鹏, 宋振浩, 李立生, 刘洋. 含电动汽车的工业园区综合能源系统优化调度[J]. 中国电力, 2024, 57(4): 25-31.

Zhipeng LV, Zhenhao SONG, Lisheng LI, Yang LIU. Optimization Scheduling of Integrated Energy System Scheduling in Industrial Park containing Electric Vehicles[J]. Electric Power, 2024, 57(4): 25-31.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202402003

https://www.electricpower.com.cn/CN/Y2024/V57/I4/25

图/表 7

图 1 系统框架

Fig.1 System framework

图 2 算例数据

Fig.2 Example data

表 1 各设备参数

Table 1 Parameter of each device

参数类型		数值
制氢设备效率		0.02
制氢设备功率上限/kW		1 500
储氢设备效率/%		95
储氢设备最大容量/kg		40
储氢设备最小容量/kg		5
园区车数/辆		100
车辆电池容量/(kW·h)		50
车辆最高充放电功率/kW		10
用户入网SOC/%		40
用户指定离网SOC区间/%		[60, 100]
置信度		0.9
风险厌恶系数		0.4

图 3 计及电动汽车后园区负荷变化

Fig.3 Park load including electric vehicle load

图 4 不同时段氢气交易情况

Fig.4 Hydrogen trading at different times

表 2 不同场景策略效果

Table 2 Strategy effect in different scenarios 单位：元

场景	系统总收益	用户充电总费用	制氢收益
基础场景（无序充电+不制氢）	10 707.14	1 660.26	0
无序充电+制氢	12 328.41	1 660.26	1 495.27
有序充电+制氢	12 318.49	1 480.71	1 495.27
车网互动+制氢	12 397.38	1 114.08	1 495.27

图 5 风险厌恶系数与收益及条件风险价值关系

Fig.5 Risk aversion coefficient and income and conditional risk value relationship diagram

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