Coordinated Optimization of Intelligent Soft Open Points and Multiple Types of Shared Energy Storage in Distribution Networks Considering Flexibility Deficiency Risk

doi:10.12096/j.2096-4528.pgt.24234

Abstract

Abstract:

Objectives To address the operational security issues in the new-type distribution network caused by the high-penetration integration of renewable energy, this paper proposes a coordinated optimization method for intelligent soft open points and multiple types of shared energy storage, by integrating these flexible devices while considering the risk of flexibility deficiency. Methods Firstly, the flexible regulation mechanism of flexible resources, including intelligent soft open points and multiple types of shared energy storage, is elaborated, and a flexibility deficiency risk indicator based on conditional value at risk is constructed. Secondly, considering flexibility, safety, and economy, a coordinated optimization model for intelligent soft open points and multiple types of shared energy storage in the new-type distribution network is established. Finally, the proposed method is tested on an improved IEEE 33-bus system to verify its effectiveness. Results The proposed coordinated optimization method for intelligent soft open points and multiple types of shared energy storage, considering flexibility deficiency risk, can fully cope with the volatility of renewable energy output and the randomness of load demand, effectively reduce active power loss of the new-type distribution network, and enhance its flexibility, safety, and economy. Conclusions The proposed flexibility optimization model provides significant practical reference value for flexible scheduling of new-type distribution systems.

Key words: renewable energy, new-type distribution network, intelligent soft open point, multiple types of shared energy storage, flexibility, conditional value at risk

CLC Number:

TK 01

Jie WANG, Lijun XU, Xiaozhu LI, Xiaochao FAN, GULIZHATI∙Hailati, Weiqing WANG. Coordinated Optimization of Intelligent Soft Open Points and Multiple Types of Shared Energy Storage in Distribution Networks Considering Flexibility Deficiency Risk[J]. Power Generation Technology, 2025, 46(4): 758-767.

Figures/Tables 8

Tab. 1 Cost coefficient

成本系数	$c g$	$c S O P$	$c e s s$	$c c s e s$	$c l o s s$	$κ t$
数值	0.65	0.02	0.154 2	0.01	0.57	0.22

Tab. 1 Cost coefficient

成本系数	$c g$	$c S O P$	$c e s s$	$c c s e s$	$c l o s s$	$κ t$
数值	0.65	0.02	0.154 2	0.01	0.57	0.22

Fig. 1 Structural diagram of modified IEEE 33 bus system

Fig. 2 Heat load and market clearing price

Tab. 2 Comparison of optimization results 万元

案例	$C F R S C$	$C N L C$	$I S E S$	$I C S E S$	$F C V a R$
1	1.642 0	0.098 5	0.532 1	4.129 9	0.094 5
2	1.429 3	0.095 9	0.595 0	—	0.120 3
3	1.495 7	0.095 4	—	4.332 7	0.084 5
4	1.663 1	0.079 0	0.595 9	4.930 0	0.039 0
5	1.637 7	0.077 4	0.560 2	4.044 8	—

Tab. 2 Comparison of optimization results 万元

案例	$C F R S C$	$C N L C$	$I S E S$	$I C S E S$	$F C V a R$
1	1.642 0	0.098 5	0.532 1	4.129 9	0.094 5
2	1.429 3	0.095 9	0.595 0	—	0.120 3
3	1.495 7	0.095 4	—	4.332 7	0.084 5
4	1.663 1	0.079 0	0.595 9	4.930 0	0.039 0
5	1.637 7	0.077 4	0.560 2	4.044 8	—

Fig. 3 System nodal voltage curves for case 4 and case 5

Fig. 4 System SOP optimization curves of case 2-4

Fig. 5 SES and CSES optimization curves of case 4

Tab. 3 Comparison of flexibility deficiency risk distribution

时刻	案例2		案例3
时刻	上调成本	下调成本	上调成本	下调成本
01：00	0	91.44	0	0.55
02：00	0	97.11	0	20.01
03：00	0	11.41	1.42	10.10
04：00—10：00	0	0	52.35	0
11：00	108.45	51.25	43.44	—
12：00	45.39	8.77	19.71	25.53
13：00	14.54	6.74	29.91	30.06
14：00	67.14	208.39	67.22	11.67
15：00	4.22	27.71	46.26	—
16：00	91.77	107.44	0	0
17：00—18：00	0	0	0	0
19：00	3.11	67.21	0	—
22：00	0	71.20	0	16.45
23：00	0	51.40	0	11.22
24：00	0	68.31	0	4.1

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