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

doi:10.11930/j.issn.1004-9649.202307050

Abstract

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

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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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202307050

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

Figures/Tables 10

References 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