A Flexible Intraday Load Dispatch Model Considering Wind Power Prediction Errors

doi:10.12096/j.2096-4528.pgt.20083

Abstract

Abstract:

Due to the uncertainty and randomicity of wind power, it is difficult to accurately predict wind power, which leads to certain limitations of day-ahead dispatch model established based on wind power prediction. In order to solve this problem and improve wind power accommodation ratio, a flexible load day-ahead dispatch model considering wind power prediction error was proposed. Firstly, the controllable flexible loads, such as energy storage and industrial high load load, were modeled. Secondly, the probabilistic distribution characteristics of wind power prediction errors were considered, and a day-ahead dispatch model aiming at the maximum wind power accommodation was established. Finally, based on ensuring the safety and reliability of the system, the dispatch model was optimized by genetic algorithm based on MATLAB. The simulation results show that compared with the day-ahead dispatch model, the wind power accommodation is increased by 1.83%, and the efficiency of the proposed dispatch model is verified. Moreover, the imbalance problems of power system power is solved effectively by the short-term scheduling of the flexible load. The stability of power system is improved.

Key words: wind power predictioin, dispatch model, flexible load, wind power accommodation, genetic algorithm(GA)

CLC Number:

TK 89

Xu LEI, Pengfei MA, Zhishuai SONG, Weidong LI. A Flexible Intraday Load Dispatch Model Considering Wind Power Prediction Errors[J]. Power Generation Technology, 2022, 43(3): 485-491.

Figures/Tables 7

References 23

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时刻	火电机组	风电机组	储能系统	高载能负荷
01:00	109.69	40.03	-4.23	-10.29
02:00	102.72	64.23	-11.87	-19.83
03:00	89.34	125.64	-27.51	-39.92
04:00	101.92	63.38	-17.39	-28.78
05:00	107.35	42.38	-7.66	-12.81
06:00	110.03	38.24	-5.36	-9.84
07:00	113.44	26.19	1.05	2.58
08:00	118.67	12.37	3.24	12.17
09:00	122.82	0.50	8.54	16.05
10:00	120.45	8.76	9.99	15.70
11:00	122.42	9.14	11.93	21.85
12:00	115.99	39.73	6.90	10.61
13:00	118.72	25.46	8.36	15.29
14:00	118.16	10.45	7.40	12.15
15:00	120.93	5.40	7.62	15.11
16:00	117.49	15.28	5.28	11.03
17:00	115.75	20.40	2.83	5.69
18:00	117.45	12.39	4.34	6.13
19:00	119.05	24.46	4.13	11.44
20:00	109.02	56.64	-1.92	-3.81
21:00	111.69	47.36	-1.16	-4.82
22:00	110.76	53.02	-4.37	-11.84
23:00	109.74	42.69	0.88	-12.45
24:00	109.48	30.55	-0.98	-2.18

时刻	火电机组	风电机组	储能系统	高载能负荷
01:00	109.69	40.03	-4.23	-10.29
02:00	102.72	64.23	-11.87	-19.83
03:00	89.34	125.64	-27.51	-39.92
04:00	101.92	63.38	-17.39	-28.78
05:00	107.35	42.38	-7.66	-12.81
06:00	110.03	38.24	-5.36	-9.84
07:00	113.44	26.19	1.05	2.58
08:00	118.67	12.37	3.24	12.17
09:00	122.82	0.50	8.54	16.05
10:00	120.45	8.76	9.99	15.70
11:00	122.42	9.14	11.93	21.85
12:00	115.99	39.73	6.90	10.61
13:00	118.72	25.46	8.36	15.29
14:00	118.16	10.45	7.40	12.15
15:00	120.93	5.40	7.62	15.11
16:00	117.49	15.28	5.28	11.03
17:00	115.75	20.40	2.83	5.69
18:00	117.45	12.39	4.34	6.13
19:00	119.05	24.46	4.13	11.44
20:00	109.02	56.64	-1.92	-3.81
21:00	111.69	47.36	-1.16	-4.82
22:00	110.76	53.02	-4.37	-11.84
23:00	109.74	42.69	0.88	-12.45
24:00	109.48	30.55	-0.98	-2.18

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