Optimal allocation of energy storage in renewable energy grid considering the demand of peak and frequency regulation

doi:10.19799/j.cnki.2095-4239.2022.0331

Abstract

Abstract:

The issue of power imbalance is brought on by the large-scale access to wind power, photovoltaic and other renewable energy sources in the system. In this paper, we suggested a method to optimize energy storage allocation considering peak and frequency regulation demands. In order to quantify the contribution of energy storage to system peaking and frequency response, i.e., intra-day frequency regulation with contact line deviation control and day-ahead peaking with carbon footprint constraints, a typical daily multi-timescale operation simulation model is first established. Then, a two-layer energy storage configuration-operation optimization model is established. The lower model is a simulation of different typical day operations, solved by a hybrid algorithm of differential evolutionary algorithm & Gurobi solver. The upper model aims to minimize the sum of typical day-set operation cost and energy storage investment cost to determine the energy storage capacity. Finally, the calculation example demonstrates that the configuration results taking into account the dual application scenarios with energy storage participation are more reasonable, the overall system operation cost is lower, and the carbon emission is less.

Key words: energy storage configuration, renewable energy grid, two-stage operation simulation of peak-frequency regulation, two-layer optimization

CLC Number:

TM 73

Xiuhui LI, Yan CUI. Optimal allocation of energy storage in renewable energy grid considering the demand of peak and frequency regulation[J]. Energy Storage Science and Technology, 2022, 11(11): 3594-3602.

Figures/Tables 15

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Table 1

Economic parameters of energy storage system"

储能节点	单位功率价格/( $美元 / M W$ )	单位容量价格/( $美元 / M W h$ )	寿命/a	单位运维成本/( $美元 / M W$ )
$B$	$1.79 × 105$	$4.29 × 105$	$10$	$6.1 × 104$

Table 1

Table 2

CO2 equivalent value for each energy type"

能源类型	$t C O 2 e q / M W h$
火电	0.82
风电	0.01
光伏	0.05

Table 2

Fig. 5

Fig. 6

Table 3

Comparison of configuration results in the three schemes"

场景	储能系统功率/ $M W$	储能系统容量/ $M W h$	储能年均投资/美元	系统弃风光成本/美元	系统调峰成本/美元	系统调频成本/美元	系统年总成本/美元
$1$	$59$	$182$	1.23×10⁷‍	1.73×10⁷	2.62×10⁸	9.94×10⁴	2.74×10⁸‍
$2$	$50$	$221$	1.23×10⁷‍	5.34×10⁷	2.98×10⁸‍	1.12×10⁶‍	3.13×10⁸‍
$3$	$0$	$0$	$0$	7.53×10⁷	3.2×10⁸‍	1.12×10⁶‍	3.21×10⁸‍

Table 3

Fig. 7

Fig. 8

Fig. 9

Fig. 10

Fig. 11

Fig. 12

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