Line-loss minimization strategy of a distribution network with battery energy storage systems based on heuristic algorithm

doi:10.19799/j.cnki.2095-4239.2023.0511

Abstract

Abstract:

The large-scale integration of distributed energy aggravates the uncertainty, volatility, and randomness of the power system. This study proposes a heuristic algorithm based on simulated annealing and a collaborative simulation framework that combines building-energy simulation with Energy Plus/Matpower software simulating distribution network to realize the formulation of load balancing and loss minimization in the distribution network. The load-balancing and power-loss minimization strategies used for solving line faults (such as disconnection) are studied at the distribution network level. Based on the demand response signal, this study realizes reasonable scheduling of battery energy storage systems for distributed users. Finally, based on a nine-node network, the accuracy and scalability of the proposed algorithm for load balancing and line-loss minimization of the distributed energy-access distribution network are analyzed by simulating and verifying the model with different weight coefficients. The research results have important practical significance for distributed energy-access distribution network.

Key words: distributed energy source, heuristic algorithm, battery energy storage systems, line loss

CLC Number:

TM 911

Ziya XING, Wei LIU, Juncheng GENG, Xinghua ZHOU, Yue XIA. Line-loss minimization strategy of a distribution network with battery energy storage systems based on heuristic algorithm[J]. Energy Storage Science and Technology, 2023, 12(11): 3406-3413.

Figures/Tables 10

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References 13

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用户状态	负荷调整比例	节点动作
充电	101%～200%	增加节点负荷
平衡	100%	保持节点负荷
放电	0～99%	减少节点负荷

节点	负荷平衡 α =1	损耗最小 α =0	综合 α =0.5
2	0	0	0
3	50	0	20
4	80	160	100
5	200	130	50
6	100	110	130
7	190	70	180
8	40	20	90
9	180	0	60

参数	公式	α	基值	断线	最优解	差值
LP	16	0	0.72	1	0.06	-0.94
C_b	15		0.03	1	0.24	-0.76
Obj_cos_t	17		0.72	1	0.06	-0.94
LP	16	1	0.7	1	0.28	-0.72
C_b	15		0.03	1	0.26	-0.74
Obj_cos_t	17		0.03	1	0.26	-0.74
LP	16	0.5	0.7	1	0.1	-0.9
C_b	15		0.03	1	0.3	-0.7
Obj_cos_t	17		0.36	1	0.2	-0.8

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