综合智慧能源 ›› 2024, Vol. 46 ›› Issue (1): 28-37.doi: 10.3969/j.issn.2097-0706.2024.01.004
收稿日期:
2023-05-11
修回日期:
2023-07-15
出版日期:
2024-01-25
发布日期:
2023-08-16
通讯作者:
*种道彤(1978),男,教授,博士,从事热力系统和多相流方面的研究,作者简介:
田泽禹(1996),男,博士生,从事热力系统动态仿真与策略方面的研究,345395611@qq.com。
基金资助:
TIAN Zeyu(), SHA Zhaoyang, ZHAO Quanbin, YAN Hui, CHONG Daotong*()
Received:
2023-05-11
Revised:
2023-07-15
Online:
2024-01-25
Published:
2023-08-16
Supported by:
摘要:
温控负载是一种变化剧烈、波动频繁、高峰负荷比例较高的负载,对电网的安全产生了极大的影响。为了应对这一问题,系统的输出功率往往会超过90%负荷最大值的调峰限制。针对虚拟电厂(VPP)系统内的超限过程进行了研究,并提出了2种控制策略,以降低超限总电量或者利用超限电量的同时获取收益。在验证策略的控制效果时,选取了2种由温控负载引起的功率需求的典型变化。研究结果表明,温控负载引起的功率需求峰值的变化对策略具有重要影响。在安全模式下,超限比例与峰值的增加呈反比,而与平均功率的增加呈正比;在收益模式下,峰值变化会影响储能放电过程,平均功率变化则会影响储能充电过程。随着功率需求的增加,收益逐渐减小,收益范围为3.62万~3.25万元。
中图分类号:
田泽禹, 沙钊旸, 赵全斌, 严卉, 种道彤. 针对温控负载变化的虚拟电厂控制策略研究[J]. 综合智慧能源, 2024, 46(1): 28-37.
TIAN Zeyu, SHA Zhaoyang, ZHAO Quanbin, YAN Hui, CHONG Daotong. Research on control strategy for virtual power plants in response to thermostatically controlled loads[J]. Integrated Intelligent Energy, 2024, 46(1): 28-37.
表2
基于收益的VPP协调控制策略控制计划
时间段 | 连入电网的储能组 | 电费 | 调度目的 |
---|---|---|---|
11:30—16:30 | C | 平值 | 电动公交车储能在谷电价时最大化充电,充电结束后储能组C剩余储能SOC=1 |
16:30—18:30 | A | 平值 | 储能车组A工作结束接入电网,同时此时段光伏机组输出功率下降,负载开始受到温控负载的影响,需求增大。为获得最大的收益,在此时段调度燃煤机组输出功率为额定功率,P=350 MW,储能组A充电,充电结束SOC,t=18:30 |
18:30—23:00 | A,C | 峰值 | 为获得最大收益,储能在峰值电价时段完全放电,此时段燃煤机组的输出功率信号为Ppeak。时段结束时,储能的设计容量剩余均为SOC=0.1,电池放电下限值 |
23:00—调峰时段结束 | C | 谷值 | 储能放电结束,但调峰时段仍在继续,需要满足系统功率需求,设定Pvalley= Pdemand,t=23:00为输出功率设定值 |
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