A Shared Energy Storage Optimal Operation Method Considering the Risk of Probabilistic Voltage Unbalance Factor Limit Violation

doi:10.16183/j.cnki.jsjtu.2021.455

Abstract

Abstract:

The distributed access with single-phase and uncertain generation of the renewable energy increase the risk of voltage unbalance limit violation in the distribution network. With the increasing penetration rate of the renewable energy generation, it is important to study the mitigation of the impacts of intermittent renewable energy generation on the risk of voltage unbalance limit violation in the distribution network. A shared energy storage allocation strategy and optimal operation method based on global sensitivity analysis (GSA) is proposed. First, a back propagation neural network (BPNN) based probabilistic voltage unbalance factor calculation model for the distribution network is constructed, and the risk index of the distribution network probabilistic voltage unbalance factor limit violation is defined, which can quickly and accurately quantify the impact of uncertain renewable energy generation on the risk of voltage unbalance limit violation in the distribution network. Then, a GSA method based on Wasserstein distance is proposed to identify the critical renewable energy sources affecting the distribution network voltage unbalance. Finally, the GSA-based shared energy storage allocation strategy and the rolling prediction optimization-based operation method of the shared energy storage are proposed. The effectiveness of the proposed method is verified through the simulation analysis of IEEE 123-bus distribution network.

Key words: renewable energy generation, uncertainty, voltage unbalance, global sensitivity analysis (GSA), shared energy storage

CLC Number:

TM715

FANG Xiaotao, YAN Zheng, WANG Han, XU Xiaoyuan, CHEN Yue. A Shared Energy Storage Optimal Operation Method Considering the Risk of Probabilistic Voltage Unbalance Factor Limit Violation[J]. Journal of Shanghai Jiao Tong University, 2022, 56(7): 827-839.

Figures/Tables 16

Fig.1

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Fig.4

Tab.1

Tab.2

Fig.5

Tab.3

Parameters of shared ESD

参数	数值	参数	数值
η_c	0.85	E_r/(kW·h)	125
η_disc	1.15	Δ $P m a x c$ /kW	100
$S m i n S O C$	0.20	Δ $P m a x d i s c$ /kW	100
$S m a x S O C$	1.00	$P t m i n$ /kW	0
τ	0.60	$P t m a x$ /kW	1000

Tab.3

Tab.4

Tab.5

Fig.6

Tab.6

Fig.7

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Fig.10

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风机	v_in/(m·s^-1)	v_out/(m·s^-1)	v_r/(m·s^-1)	P_r/kW
WT₁	3.5	20.0	14.5	300
WT₂	3.0	19.0	13.0	200
WT₃	3.5	20.0	15.5	300

光伏电池	A/m²	η/%
PV₁	5600	15
PV₂	4800	14

可再生能源机组	全局灵敏度指标
可再生能源机组	时段1	时段2	时段3	时段4
WT₁	0.197	0.110	0.036	0.191
WT₂	0.283	0.193	0.060	0.299
WT₃	0.520	0.305	0.084	0.510
PV₁	0.000	0.232	0.442	0.000
PV₂	0.000	0.160	0.378	0.000

可再生能源机组	全局灵敏度指标
可再生能源机组	时段1	时段2	时段3	时段4
WT₁	0.192	0.110	0.043	0.190
WT₂	0.271	0.185	0.061	0.288
WT₃	0.536	0.298	0.080	0.522
PV₁	0.000	0.241	0.446	0.000
PV₂	0.000	0.166	0.369	0.000

时段	配置共享ESD的可再生能源机组
时段1	WT₂,WT₃
时段2	WT₃,PV₁
时段3	PV₁,PV₂
时段4	WT₂,WT₃