虚拟电厂参与能量与辅助服务市场的协同优化策略

doi:10.11930/j.issn.1004-9649.202307050

中国电力 ›› 2024, Vol. 57 ›› Issue (1): 61-70.DOI: 10.11930/j.issn.1004-9649.202307050

虚拟电厂参与能量与辅助服务市场的协同优化策略

周挺¹^,²(), 谭玉东¹^,²(), 孙晋³, 文明¹^,², 廖菁¹^,², 李杨¹^,², 刘巩⁴, 刘敦楠⁴^,⁵

1. 国网湖南省电力有限公司经济技术研究院，湖南长沙　410007
2. 能源互联网供需运营湖南省重点实验室，湖南长沙　410007
3. 国网湖南省电力有限公司，湖南长沙　410029
4. 华北电力大学经济与管理学院，北京　102206
5. 中国能源研究会，北京　100045

收稿日期:2023-07-12 录用日期:2023-10-10 发布日期:2024-01-23 出版日期:2024-01-28
作者简介:周挺（1997—），男，硕士，助理工程师，从事电力市场研究，E-mail：zhout9@hn.sgcc.com.cn
谭玉东（1983—），男，通信作者，博士，高级工程师，从事主网规划、电力市场研究，E-mail：tanyudong@126.com
基金资助:
湖南省科技创新平台与人才计划（2019TP1053）；国网湖南省电力有限公司科技项目（电力现货市场环境下需求响应交易机制及关键技术研究，5216A2220007）。

Collaborative Optimization Strategy for Virtual Power Plant Participating in Energy and Ancillary Service Market

Ting ZHOU¹^,²(), Yudong TAN¹^,²(), Jin SUN³, Ming WEN¹^,², Jing LIAO¹^,², Yang LI¹^,², Gong LIU⁴, Dunnan LIU⁴^,⁵

1. Economic and Technical Research Institute of State Grid Hunan Electric Power Co., Ltd., Changsha 410007, China
2. Hunan Key Laboratory of Energy Internet Supply-Demand and Operation, Changsha 410007, China
3. State Grid Hunan Electric Power Co., Ltd., Changsha 410029, China
4. Department of Economics and Management, North China Electric Power University, Beijing 102206, China
5. China Energy Research Society, Beijing 100045, China

Received:2023-07-12 Accepted:2023-10-10 Online:2024-01-23 Published:2024-01-28
Supported by:
This work is supported by Hunan Provincial Science and Technology Innovation Platform and Talent Plan(No.2019TP1053)，Science and Technology Project of State Grid Hunan Electric Power Co., Ltd. (Research on Demand Response Trading Mechanism and Key Technologies in Electricity Spot Market, No.5216A2220007).

摘要/Abstract

摘要：

虚拟电厂作为一种具备储能特性的灵活性资源，虽然其在配合电网削峰填谷、消纳新能源等方面的作用越发重要，但其目前在市场运营上缺乏经济性及高效性，直接导致其参与市场积极性不足。鉴于此，提出一种虚拟电厂参与电能量市场与辅助服务市场协同工作策略。首先，基于现货市场电价与虚拟电厂的聚合情况，确定其参与市场各时段策略；其次，以虚拟电厂收益最大化为目标，采用动态规划方法构建多时间尺度下虚拟电厂参与现货电能量-调频市场协同优化模型；最后，通过仿真分析对比虚拟电厂只参与单独市场与联合优化情况下的收益及利用率，并使用shapely值法对参与虚拟电厂聚合的各类资源进行收益分摊分析，验证所提方案的可行性及有效性。

关键词: 虚拟电厂, 能量市场, 辅助服务市场, 协同优化, 动态规划

Abstract:

As a flexible resource with energy storage characteristics, virtual power plant (VPP) is becoming more and more important in cooperating with the grid for peak load shaving and new energy accommodation. However, its poor economy and efficiency in market operation directly leads to its lack of enthusiasm in participation in the market. In view of this, this paper proposes a collaborative work strategy for VPP participating in electricity energy market and auxiliary services market. Firstly, based on the spot market electricity price and the aggregation of VPP, the strategy for the VPP participating in the market in each time period is determined. Secondly, taking the maximum revenue of VPP as the goal, the dynamic programming method is used to establish a collaborative optimization model of VPP participating in the spot electricity energy - FM market under multi-time scale. Finally, through simulation, we analyzed and compared the revenue and utilization rate of the VPP participating in the separate market and the joint optimization. The shapely value method is used to analyze the revenue sharing of various resources participating in the aggregation of the VPP, so as to validate the feasibility and validity of the scheme proposed in this paper.

Key words: virtual power plant, energy markets, ancillary services market, collaborative optimization, dynamic programming

周挺, 谭玉东, 孙晋, 文明, 廖菁, 李杨, 刘巩, 刘敦楠. 虚拟电厂参与能量与辅助服务市场的协同优化策略[J]. 中国电力, 2024, 57(1): 61-70.

Ting ZHOU, Yudong TAN, Jin SUN, Ming WEN, Jing LIAO, Yang LI, Gong LIU, Dunnan LIU. Collaborative Optimization Strategy for Virtual Power Plant Participating in Energy and Ancillary Service Market[J]. Electric Power, 2024, 57(1): 61-70.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202307050

https://www.electricpower.com.cn/CN/Y2024/V57/I1/61

图/表 10

参考文献 23

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参数名称	数值	参数名称	数值
虚拟电厂总容量/MW	15.50	电动汽车电池容量/(MW•h)	1.5
风电机组容量/MW	3.00	电动汽车充电效率/%	0.5
储能电池容量/(MW•h)	10.50	电动汽车放电效率/%	0.5
虚拟电厂平均调节功率/ MW	7.50	空调总容量/MW	0.5
储能充电效率/%	0.95	投标功率/MW	1.5
储能放电效率/%	0.80	调频定价/(元·MW^–1)	15.0
储能电池额定功率/MW	5.50	可调节负荷容量/MW	2.0

参数名称	数值	参数名称	数值
虚拟电厂总容量/MW	15.50	电动汽车电池容量/(MW•h)	1.5
风电机组容量/MW	3.00	电动汽车充电效率/%	0.5
储能电池容量/(MW•h)	10.50	电动汽车放电效率/%	0.5
虚拟电厂平均调节功率/ MW	7.50	空调总容量/MW	0.5
储能充电效率/%	0.95	投标功率/MW	1.5
储能放电效率/%	0.80	调频定价/(元·MW^–1)	15.0
储能电池额定功率/MW	5.50	可调节负荷容量/MW	2.0

时段		参与市场
00:00—07:00		能量市场（充电）
07:00—10:00		能量-辅助服务市场联合优化
10:00—14:00		能量市场（放电）
14:00—24:00		能量-辅助服务市场联合优化

时段		参与市场
00:00—07:00		能量市场（充电）
07:00—10:00		能量-辅助服务市场联合优化
10:00—14:00		能量市场（放电）
14:00—24:00		能量-辅助服务市场联合优化

模式	出力次数	总时段 /s	利用率/%
只参与能量市场	40332	86400	46.68
只参与调频辅助服务市场	45856	86400	53.07
能量-调频市场联合优化	65673	86400	76.01

虚拟电厂参与能量与辅助服务市场的协同优化策略

Collaborative Optimization Strategy for Virtual Power Plant Participating in Energy and Ancillary Service Market

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虚拟电厂内部成员		能量-调频市场联合优化/元
风电机组		256.38
可调节负荷		171.58
储能		3682.54

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模态框（Modal）标题

虚拟电厂参与能量与辅助服务市场的协同优化策略

Collaborative Optimization Strategy for Virtual Power Plant Participating in Energy and Ancillary Service Market

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参考文献 23

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