A price formation mechanism and cost diversion optimization method for designing an independently new energy-storing power station

doi:10.19799/j.cnki.2095-4239.2022.0367

Abstract

Abstract:

New energy storage is an important technology. While it is a piece of basic equipment supporting new power systems, it is also a reasonable and effective price mechanism, hypothesized as the key to the development of new energy storage. However, simply carrying out research on the price mechanism of independently new energy storage power stations, summarizing the practice and experience of typical foreign countries, and analyzing the relevant exploration of the price mechanism of energy storage power stations in China, including the regulated pricing model and independent participation in the electricity market, are insufficient to support new energy storage power station's large-scale commercial application. Hence, on the basis of the equality of responsibilities, rights of all relevant parties, and transfer factors, this study proposes the price formation mechanism and cost diversion optimization method for energy storage power stations, after which a case is finally used for illustrations to prove our findings. The results show that the transfer factor effectively distributed the benefits of energy storage capacity and the electricity market, ensuring a benefit balance for all stakeholders.

Key words: independent, new energy storage, price mechanism, cost grooming

CLC Number:

TM 62

Zhiyong SHI, Caixia WANG, Jing HU. A price formation mechanism and cost diversion optimization method for designing an independently new energy-storing power station[J]. Energy Storage Science and Technology, 2022, 11(12): 4067-4076.

Figures/Tables 8

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调控时间	电价补偿标准/(元/kW)
≤60 min	10
60～120 mim	12
>120 min	15

通知时间	响应速度系数	响应类别
>4 h	1	约定需求响应
0.5～4 h	1.5	约定需求响应
不通知	3	实时需求响应

传递因子	调节后容量收益/万元	新能源租赁成本/万元	电网租赁成本/万元	市场净收益/万元	储能电站收益/万元	内部收益率
0.000	3823	2740	1083	1671	5494	15.86%
0.083	3684	2640	1044	1671	5355	15.20%
0.100	3656	2620	1036	1671	5327	15.07%
0.200	3489	2500	989	1671	5160	14.26%
0.300	3322	2380	941	1671	4993	13.44%
0.400	3155	2261	894	1671	4826	12.62%
0.500	2988	2141	847	1671	4659	11.78%
0.600	2820	2021	799	1671	4491	10.94%
0.700	2653	1901	752	1671	4324	10.08%
0.800	2486	1782	705	1671	4157	9.21%
0.900	2319	1662	657	1671	3990	8.32%
0.936	2259	1619	640	1671	3930	8.00%
1.000	2152	1542	610	1671	3823	7.42%

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