Two-level Optimal Dispatch of Power System Based on Load-storage Carbon Flow Model

doi:10.16182/j.issn1004731x.joss.23-0764

Abstract

Abstract:

In order to reduce the output of high energy consuming units on the power generation side, increase the absorption capacity of wind power, and consider the flexible resource allocation such as load and energy storage, a two-level economic low-carbon optimal scheduling method for power systems based on a carbon storage and discharge model is proposed. Based on the carbon emission flow theory of power system, a model for load and energy storage equipment is established; A demand response model based on the electricity carbon coupling price is established on the load side, and in view of the limitation on the load side, a low-carbon scheduling strategy based on the carbon flow model for energy storage is established to realize a coordinated low-carbon scheduling strategy for load storage. Considering the economy and low carbon, a two-level optimal scheduling model including upper economic scheduling and lower low-carbon scheduling is established. Simulation on an improved IEEE-14 bus system show that the proposed optimal scheduling method can reduce the wind abandonment, promote the replacement of high energy consumption units, and effectively reduce carbon emissions while ensuring the economy.

Key words: carbon emissions, demand response, low carbon economic dispatch, load storage, electric carbon coupling model, wind power

CLC Number:

TP391.9

Yu Yang, Xia Yuxing, Lu Wentao, Liu Mai, Gao Shixuan, Chen Dongyang. Two-level Optimal Dispatch of Power System Based on Load-storage Carbon Flow Model[J]. Journal of System Simulation, 2024, 36(10): 2288-2299.

Figures/Tables 15

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Table 1

Parameter table of thermal power unit

机组编号	最大出力/ $M W$	最小出力/ $M W$	启停成本/ $$$	机组爬坡/ $M W / 15 m i n$	成本参数 $a ($ / M W 2) / b ($ / M W) / c ($)$	碳排放强度 $/$ $(t / (M W ⋅ h))$
1	150	20	400	15	0.005/10/660	0.892
2	200	40	450	18	0.008/8/700	1.025
3	180	25	355	25	0.01/4/450	1.300
4	250	40	450	10	0.01/17/250	0.720
5	200	0	/	/	0/25/0	0

Table 1

Fig. 7

Fig. 8

Fig. 9

Fig. 10

Table 2

Scheduling costs for each scenario

场景	火电成本/ $$$	风电成本/ $$$	碳交易成本/ $$$	碳排放量/t	总成本/ $$$
Ⅰ	103 464	9 648	0	8 236	113 112
Ⅱ	97 358	10 652	-3 984	7 543	104 026
Ⅲ	96 506	11 058	-6 069	6 965	101 495

Table 2

Fig. 11

Fig. 12

Fig. 13

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