Analytical Method for Power Grid Dispatching Centralized Thermal Storage to Reduce Wind Abandoned Rate

doi:10.12096/j.2096-4528.pgt.21090

Abstract

Abstract:

In order to achieve clean heating and reduce the rate of abandoned wind, the northern region has invested in various heat storage devices, especially the large-capacity heat storage devices invested by thermal power plants to improve adjustment flexibility. The power consumption calculation method of large-capacity heat storage device invested by thermal power plants and the calculation method of abandoned wind power in power grid were proposed. Moreover, the relationship between the input timing of the heat storage device and the timing of abandoning wind was researched, and the delay of deep peak shaving of the unit after the input of the heat storage device was discussed. The actual data show that the input timing of the heat storage device and the timing of abandoning wind have a demonstration effect on the consumption of wind power through thermal storage in the northern region.

Key words: thermal storage, abandoned wind power, deep peak shaving, time series

CLC Number:

TK 019

Shuai CHU, Aihua WANG, Weichun GE, Yinxuan LI, Dai CUI. Analytical Method for Power Grid Dispatching Centralized Thermal Storage to Reduce Wind Abandoned Rate[J]. Power Generation Technology, 2023, 44(1): 18-24.

Figures/Tables 7

References 21

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年份	风力发电量/(亿kW⋅h)	储热电量/(亿kW⋅h)	取暖弃风电量/(亿kW⋅h)	取暖弃风率/%	弃风率下降/%	取暖季应弃风率/%
2017	149.64	1.61	10.68	7.14	1.08	8.22
2018	42.11	3.22	1.04	2.41	7.71	10.12

年份	风力发电量/(亿kW⋅h)	储热电量/(亿kW⋅h)	取暖弃风电量/(亿kW⋅h)	取暖弃风率/%	弃风率下降/%	取暖季应弃风率/%
2017	149.64	1.61	10.68	7.14	1.08	8.22
2018	42.11	3.22	1.04	2.41	7.71	10.12

年度	投入时长/h	最大电力/MW	出现时间
2017	645	540.0	2017/12/29 05:00
2018	920	938.5	2018/03/12 02:00

年度	投入时长/h	最大电力/MW	出现时间
2017	645	540.0	2017/12/29 05:00
2018	920	938.5	2018/03/12 02:00

时刻	储热投入容量/MW	机组深度调峰容量/MW	时刻	储热投入容量/MW	机组深度调峰容量/MW
22:00	0	0	10:00	199	110
23:00	80	50	11:00	140	109
00:00	279	110	12:00	275	108
01:00	279	109	13:00	122	98
02:00	279	111	14:00	0	38
03:00	279	109	15:00	0	0
04:00	279	111	16:00	0	0
05:00	0	110	17:00	0	0
06:00	279	110	18:00	0	0
07:00	278	111	19:00	0	0
08:00	277	112	20:00	0	0
09:00	63	110	21:00	0	0