考虑梯次利用储能系统安全阈值的综合能源系统低碳经济调度方法

doi:10.12204/j.issn.1000-7229.2023.06.001

电力建设 ›› 2023, Vol. 44 ›› Issue (6): 1-11.doi: 10.12204/j.issn.1000-7229.2023.06.001

• 新型电力系统背景下储能系统规划配置与运行控制·栏目主持李相俊教授级高工、帅智康教授、颜宁副教授· • 上一篇下一篇

考虑梯次利用储能系统安全阈值的综合能源系统低碳经济调度方法

宁毕武¹, 张冠锋², 王海鑫³(), 颜宁³

1.国网内蒙古东部电力有限公司呼伦贝尔供电公司,内蒙古自治区呼伦贝尔市 021000
2.国网辽宁省电力有限公司电力科学研究院,沈阳市 110006
3.沈阳工业大学电气工程学院,沈阳市 110870

收稿日期:2022-08-13 出版日期:2023-06-01 发布日期:2023-05-25
通讯作者: 王海鑫(1989),男,博士,副教授,从事新型电力系统稳定运行与电碳市场运营方面的研究工作,E-mail:haixinwang@sut.edu.cn。
作者简介:宁毕武(1985),男,本科,工程师,从事电力系统运行与安检方面的研究工作;
张冠锋(1986),男,博士,高级工程师,从事新能源并网技术方面的研究工作;
颜宁(1988),女,博士,副教授,从事综合能源系统低碳经济调度方面的研究工作。
基金资助:
辽宁省教育厅科学研究经费项目(LQGD2019005)

A Low-Carbon Economic Dispatch Method for IES Considering the Safety Threshold of Echelon Utilization Energy Storage System

NING Biwu¹, ZHANG Guanfeng², WANG Haixin³(), YAN Ning³

1. State Grid Inner Mongolia Eastern Power Co., Ltd., Hulunbeir Power Supply Company, Hulunbeir 021000, Inner Mongolia Autonomous Region,China
2. Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China
3. School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China

Received:2022-08-13 Online:2023-06-01 Published:2023-05-25
Supported by:
Liaoning Provincial Department of Education Scientific Research Fund(LQGD2019005)

摘要/Abstract

摘要：

为了有效地降低综合能源系统(integrated energy system, IES)碳排放量,解决退役动力电池梯次利用中存在的安全问题,提出了退役动力电池应用于IES的低碳经济调度方法。首先,提出基于置信区间估计的退役动力电池重构储能系统(reconfiguration energy storage system, RESS)可靠性评估方法,并设置合理的充放电安全阈值,提高退役动力电池运行的安全性;其次,追踪退役动力电池的碳耗特性,建立退役动力电池梯次利用于IES全过程的碳排放成本模型;最后,引入阶梯式碳交易模式,建立IES碳排放成本及运行成本模型,并考虑分时电价阶段性地调节梯次利用电池的安全阈值实现IES低碳经济调度。通过多场景仿真分析验证了退役动力电池梯次利用于IES的调度方法能有效降低系统的碳排放和成本。

关键词: 退役动力电池, 综合能源系统, 置信区间估计, 安全阈值, 低碳经济调度

Abstract:

To effectively reduce carbon emissions of the integrated energy system (IES) and solve safety problems in the echelon utilization of retired power batteries, this study proposes a low-carbon economic dispatch method for the application of retired power batteries in IES. First, a reliability evaluation method based on confidence interval estimation for retired power battery reconfiguration energy storage system (RESS) is proposed. A reasonable charge and discharge safety threshold improves the operation safety of retired power batteries. Second, the carbon consumption characteristics of retired power batteries are tracked. In addition, the carbon emission cost model for the retired power batteries in the whole process of echelon utilization to IES is established. Finally, the stepped carbon trading model is introduced, and the IES carbon emission cost and operating cost model is established. The battery safety threshold of the echelon utilization is periodically adjusted by considering the time-of-use electricity price, which realizes economical low-carbon dispatch of the IES. Through multi-scenario simulation analysis, the scheduling method for echelon utilization of retired power batteries in IES can effectively reduce the carbon emissions and costs of the verified system.

Key words: retired power battery, integrated energy system, confidence interval estimation, safety threshold, low-carbon economic dispatch

中图分类号:

TM734

宁毕武, 张冠锋, 王海鑫, 颜宁. 考虑梯次利用储能系统安全阈值的综合能源系统低碳经济调度方法[J]. 电力建设, 2023, 44(6): 1-11.

NING Biwu, ZHANG Guanfeng, WANG Haixin, YAN Ning. A Low-Carbon Economic Dispatch Method for IES Considering the Safety Threshold of Echelon Utilization Energy Storage System[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(6): 1-11.

图/表 14

图1 RESS加入的IES示意图

Fig.1 Schematic diagram of the IES added to RESS

图2 RESS可靠性评估流程

Fig.2 Reliability assessment flow of RESS

图3 奖惩阶梯型碳交易价格曲线

Fig.3 Reward and punishment stepped carbon trading price curve

图4 考虑RESS安全性的IES低碳调度流程

Fig.4 IES low carbon dispatch process considering RESS safety

图5 分时电价曲线

Fig.5 Time-of-use price curve

图6 新能源出力及电/热/气负荷预测曲线

Fig.6 New energy power output and electric / heat / gas load prediction curve

表1 IES参数设计

Table 1 IES parameter design

图7 不同支路电池模组容量偏差概率分布

Fig.7 Probability distribution of battery module capacity deviation in different branches

表2 RESS SOC循环区间设定

Table 2 RESS SOC cycle interval setting %

表3 IES低碳调度场景设计

Table 3 IES low-carbon scheduling scenario design

表4 不同场景下IES优化调度结果

Table 4 IES optimization dispatch results in different scenarios

图8 场景4下电-热-气负平衡曲线

Fig.8 Curve of electricity-heat-gas load balance in scenario 4

图9 不同碳交易价格下IES运行成本

Fig.9 IES operating cost under different carbon trading prices

图10 不同碳交易价格下IES碳排放量

Fig.10 IES carbon emissions under different carbon trading prices

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考虑梯次利用储能系统安全阈值的综合能源系统低碳经济调度方法

A Low-Carbon Economic Dispatch Method for IES Considering the Safety Threshold of Echelon Utilization Energy Storage System

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