Bidding strategies and value allocation mechanism for multi-type electric energy trading with participation of shared energy storage

doi:10.3969/j.issn.2097-0706.2025.08.004

Abstract

Abstract:

To address the challenges brought by insufficient flexible regulation resources in the new power systems， the market-oriented reform is promoted and diversified market entities are cultivated in China's electricity sector， to address the value allocation issues related to shared energy storage in meeting multiple regulation demands， a new operational model for the participation of shared energy storage in multi-type power source markets is proposed， along with a flexibility resource value allocation mechanism based on the Vickrey Clarke Groves（VCG） mechanism. The operational model included three layers： the market layer， the bidding layer， and the dispatch layer， with decisions at each layer influencing one another. The electricity trading mechanism consisted of winning bidding decisions and financial settlement. The winning bidding decisions were based on the utility functions of multi-type power source operators to maximize social welfare. The VCG mechanism was applied to accurately identify and allocate the value of contributions made by different market participants in the electricity market. The feasibility and effectiveness of the proposed value allocation mechanism were verified using empirical data from the northwest new energy convergence region in China.

Key words: new power system, shared energy storage, renewable energy, electricity bidding strategy, value distribution, VCG mechanism, multi-type market entity

CLC Number:

TK011

CHU Longhao, LI Xiaozhu. Bidding strategies and value allocation mechanism for multi-type electric energy trading with participation of shared energy storage[J]. Integrated Intelligent Energy, 2025, 47(8): 30-39.

Figures/Tables 13

Fig.1

Fig.2

Fig.3

Table 1

Power plant parameters

发电设备	Cⁱ	Bⁱ	Aⁱ	$E t G 上限$ /（MW·h）	$E t G 下限 /$ （MW·h）
G1	0.073	29.037	786.799	20	130
G2	0.078	33.971	451.159	40	105
G3	0.078	33.971	1 049.998	40	105
G4	0.083	35.889	1 243.531	20	100
G5	0.088	38.557	1 658.569	20	65
G6	0.088	39.557	1 356.659	1	35
W1	0.105	45.557	0	0	149
W2	0.105	45.557	0	0	149

Table 1

Table 2

Parameters of the energy storage system

参数	取值	参数	取值
$S O C, t$ 上限/%	95	$S O C, t$ 下限/%	15
$η c h$ /%	93	$η d i s$ /%	93
C_P/(元·kW^-1)	850	C_E/[元·（kW·h）^-1]	1 620
C_M/(元·kW^-1)	705	$T b$ /a	15

Table 2

Fig.4

Table 3

Table 4

Table 5

Fig. 5

Fig.6

Fig.7

Fig.8

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时间段	风电场负荷	储能负荷	灵活可调负荷
00:00-01：00	278.33	(-40,0)	401.70
01:00-02:00	290.02	(-40,0)	406.69
02:00-03:00	210.97	(-40,0)	406.69
03:00-04:00	197.87	(-40,0)	414.64
04:00-05:00	177.29	(0,40)	414.64
05:00-06:00	256.34	(0,40)	425.00
06:00-07:00	236.23	(0,40)	425.00
07:00-08:00	237.16	0	437.05
08:00-09:00	292.36	0	450.00
09:00-10:00	247.92	0	493.30
10:00-11:00	229.21	0	498.29
11:00-12:00	207.69	(-40,0)	500.00
12:00-13:00	157.17	(-40,0)	498.29
13:00-14:00	129.11	(-40,0)	493.30
14:00-15:00	116.94	(-40,0)	475.00
15:00-16:00	139.40	(-40,0)	462.94
16:00-17:00	116.94	0	462.94
17:00-18:00	116.94	0	475.00
18:00-19:00	126.30	(0,40)	485.35
19:00-20:00	130.98	(0,40)	485.35
20:00-21:00	163.72	(0,40)	450.00
21:00-22:00	173.08	(-40,0)	414.64
22:00-23:00	215.18	(-40,0)	401.70
23:00-24:00	233.89	(-40,0)	400.00

案例	火电机组报价			风电机组报价			储能系统报价			可调度负荷报价
案例	高	中	低	高	中	低	高	中	低	高	中	低
1	√			√			√			√
2		√			√			√			√
3		√		√			√			√
4			√	√			√			√
5			√		√			√			√
6			√			√			√			√

案例	火电运营商收益	新能源场站运营商收益	储能运营商收益	负荷运营商收益	社会福利
1	197	996	174	2 190	3 557
2	117	671	116	1 450	2 354
3	116	996	174	2 190	3 476
4	86	996	174	2 190	3 446
5	87	671	116	1 450	2 324
6	87	494	86	1 150	1 817