配电台区灵活资源多时间尺度优化调度方法

doi:10.19799/j.cnki.2095-4239.2023.0677

储能科学与技术 ›› 2024, Vol. 13 ›› Issue (2): 568-577.doi: 10.19799/j.cnki.2095-4239.2023.0677

配电台区灵活资源多时间尺度优化调度方法

黄旭¹(), 祖国强²^,⁴, 司威³, 丁琪¹, 刘明阳³, 唐万鑫⁴, 靳小龙⁴()

^1.国网天津市电力公司城东供电分公司，天津 300250
^2.国网天津市电力公司电力科学研究院，天津 300384
^3.国网天津市电力公司滨海供电分公司，天津 300450
^4.天津大学，智能电网教育部重点实验室，天津 300072

收稿日期:2023-09-28 修回日期:2023-10-22 出版日期:2024-02-28 发布日期:2024-03-01
通讯作者: 靳小龙 E-mail:huangxu335@163.com;xljin@tju.edu.cn
作者简介:黄旭（1984—），男，硕士，高级工程师，研究方向为智能配电网及储能，E-mail：huangxu335@163.com；
基金资助:
国网天津市电力公司科技项目（城东-研发23-02）

Multi-time-scale optimal scheduling method for flexible resources at distribution stations： A case study of building microgrid considering virtual storage system

Xu HUANG¹(), Guoqiang ZU²^,⁴, Wei SI³, Qi DING¹, Mingyang LIU³, Wanxin TANG⁴, Xiaolong JIN⁴()

^1.Chengdong Power Supply Branch, State Grid Tianjin Electric Power Company, Tianjin 300250, China
^2.Electric Power Research Institute, State Grid Tianjin Electric Power Company, Tianjin 300384, China
^3.Binhai Power Supply Branch, State Grid Tianjin Electric Power Company, Tianjin 300450, China
^4.Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China

Received:2023-09-28 Revised:2023-10-22 Online:2024-02-28 Published:2024-03-01
Contact: Xiaolong JIN E-mail:huangxu335@163.com;xljin@tju.edu.cn

摘要/Abstract

摘要：

随着“双碳”目标的提出，配电台区接入大量分布式光伏、电动汽车、微网以及智能建筑等新元素，在给中低压配网安全运行带来挑战的同时也蕴含着巨大的灵活调节潜力。本工作以配电台区的智能建筑为例，提出一种含虚拟储能系统的建筑微网多时间尺度优化调度方法。首先对建筑围护结构的动态特性进行建模，构建了对建筑灵活性进行定量描述的虚拟储能模型，通过对虚拟储能的充放电过程进行优化调度来实现对建筑灵活性的定量利用；随后，在配电台区灵活资源多时间尺度优化调度模型中详细考虑了建筑的可调虚拟储能特性，分别在日前调度和日间修正两个时间尺度对建筑虚拟储能进行充分利用，提出以运行成本最低为目标的日前经济调度方法和跟踪微网联络线设定值的日间修正方法。最后以夏季制冷场景为例，利用典型建筑微网系统验证了本文所提多时间尺度优化调度方法的有效性。结果表明，本文所提方法可有效调度建筑的虚拟储能能力，实现在日前运行阶段降低建筑微网的运行成本，在日间运行阶段有效平抑可再生能源的随机波动。

关键词: 配电台区, 灵活资源, 建筑虚拟储能, 多时间尺度优化

Abstract:

With the proposal of the "dual carbon" goal, the distribution station area is connected to many new elements, such as distributed photovoltaics, electric vehicles, microgrids, and smart buildings, posing challenges to the safe operation of medium- and low-voltage distribution networks and offering considerably flexibility potential. Taking smart buildings connected to the distribution station area as an example, this study proposes a multi-time scale optimal scheduling method for a building microgrid considering a virtual storage system. Firstly, the thermal dynamics of the envelope of the building is modeled, and a virtual energy storage model that quantitatively describes the flexibility of buildings are constructed. The flexibility of buildings can be used by optimizing the charging and discharging powers of the virtual energy storage. Then, the adjustable virtual energy storage characteristics of buildings are considered in detail in the multi-time scale optimal scheduling model of flexible resources in distribution stations. The proposed multi-time scale optimal scheduling model can leverage the virtual energy storages at day-ahead and the intra-day stages. A day-ahead economic scheduling method aiming at the lowest operating cost and an intra-day correction method for tracking the setting value of the microgrid contact line is proposed. Finally, taking the cooling scenario in summer as an example, the effectiveness of the proposed multi-time-scale optimal scheduling method is verified using a typical building microgrid system. The results show that this method can effectively schedule the virtual energy storage capacity of the building, reduce the operating cost of the building microgrid in the day-ahead operation stage, and effectively mitigate the random fluctuation of renewable energy in the intra-day stage.

Key words: distribution station, flexible resources, microgrid, heat storage characteristics of building, virtual storage system, multi-time scale optimal scheduling

中图分类号:

TM 732

黄旭, 祖国强, 司威, 丁琪, 刘明阳, 唐万鑫, 靳小龙. 配电台区灵活资源多时间尺度优化调度方法[J]. 储能科学与技术, 2024, 13(2): 568-577.

Xu HUANG, Guoqiang ZU, Wei SI, Qi DING, Mingyang LIU, Wanxin TANG, Xiaolong JIN. Multi-time-scale optimal scheduling method for flexible resources at distribution stations： A case study of building microgrid considering virtual storage system[J]. Energy Storage Science and Technology, 2024, 13(2): 568-577.

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参数	数值
电制冷机COP_EC	4
电制冷机功率上下限 $P E C ¯$ / $P E C ̲$	120 kW/0 kW
光伏使用维护成本C_{PV_om}	0.08元/kWh
电制冷机使用维护成本C_{EC_om}	0.01元/kWh

时刻	光伏额定容量/kW	偏差
13:45	100	0.69 kW
	150	1.32 kW
	200	1.94 kW
	250	2.57 kW
	300	3.19 kW

16:00	100	0 kW
	150	-1.90 kW
	200	-8.65 kW
	250	-15.40 kW

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配电台区灵活资源多时间尺度优化调度方法

Multi-time-scale optimal scheduling method for flexible resources at distribution stations： A case study of building microgrid considering virtual storage system

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