Research on capacity optimization for the user-side energy storage station participating in electric power market

doi:10.3969/j.issn.2097-0706.2023.02.010

Abstract

Abstract:

To solve the problems in energy storage systems'participation in power grid frequency regulation ancillary service and energy arbitrage，a capacity optimization configuration for the systems participating in electric power market is proposed.This optimized configuration is verified by the user load data of commercial buildings based on the electricity pricing system of Shanxi Province.The optimization takes the SoC and medium and long-term comprehensive costs and revenues of the batteries under load demand constraints in the mode of frequency regulation ancillary service and energy arbitrage into consideration.Then，an economic optimization model for the battery storage station participating in frequency regulation ancillary service and energy arbitrage is constructed.To minimize the total cost of the energy storage station，and taking battery loss，coupling of frequency regulation power and other factors into consideration，a charging and discharging capacity configuration strategy is designed for the system participating in electricity power market，on the premise of ensuring the user-side power supply.Applying the optimized configuration to a real case，the calculation results show that the proposed method can provide well guidance for the administers of distribution network and commercial complexes to effectively allocate energy capacity and power capacity in energy storage systems in a medium or long period，and to reasonably participate in electric power market according to cost benefit analysis.

Key words: energy storage system, frequency regulation, energy arbitrage, linear programming, capacity configuration

CLC Number:

TK02

XU Tianyun, CHEN Tao, GAO Ciwei. Research on capacity optimization for the user-side energy storage station participating in electric power market[J]. Integrated Intelligent Energy, 2023, 45(2): 77-84.

Figures/Tables 10

Fig.1

Table 1

Parameters of the model

参数	取值	参数	取值
$c E, B$ /（元·kW^-1）	2 195.5	$N$ /a	15
$c P, B$ /（元·kW^-1）	9 185.7	$η$	0.9
$c F, B$ /万元	200	$S$	0.9
$E ¯ B, m a x$ /（kW·h）	20 000	$R$	0.8
$P ¯ B, m a x$ /kW	5 000	$S O C m a x / S O C m i n$	0.4/0.9
$P ¯ t S$ /kW	3 000	$B$ /（元·kW^-1）	5
$r$ /%	10	$β r e g$	10

Table 1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Table 2

Sensitivity analysis on the performance indexes

$S F R$	$P ¯ B / k W$	$E ¯ B / (k W$ ·h）	当月利润/元
0.85	4 096	12 319	203 636
0.90	4 227	12 175	314 443
0.98	3 143	11 905	365 413

Table 2

Table 3

Table 4

Solutions for the waveforms of four electricity prices

类型	$P ¯ B / k W$	$E ¯ B / (k W$ ·h）	当月利润/元
1	4 173	12 020	318 787
2	4 153	11 961	300 627
3	4 133	11 905	296 915
4	4 148	13 319	311 696

Table 4

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序号	扰动幅度/%		峰谷价差/[元·（kW·h）^-1]
序号	08:00—20:00	20:00—次日08:00	峰谷价差/[元·（kW·h）^-1]
1	-10	10	1.473
2	0	0	1.500
3	10	-10	1.645
4	20	-20	1.794