Comprehensive Evaluation of Self-healing Ability of Distribution Network with Risk Assessment Under Non-fault State

doi:10.11985/2020.04.004

Abstract

Abstract:

The whole society has higher requirements for power supply reliability, which requires the distribution network to have good self-healing properties. In terms of self-healing evaluation of distribution network, the existing researches often neglect the evaluation of the hidden trouble of self-elimination of the distribution network in the non-fault state. In order to comprehensively evaluate the self-healing level of distribution network, not only considers the self-healing situation of distribution network after fault, but also considers the risk assessment of distribution network under non fault state. In order to quantitatively evaluate the risk faced by distribution network in non fault state, based on the risk theory, three quantitative indicators are put forward: line overload risk, voltage overrun risk and load loss risk; in terms of self-healing evaluation of distribution network after fault, it puts forward self-healing speed, self-healing rate, self-healing control operation complexity, self-healing control operation complexity, self-healing rate and self-healing control operation complexity. There are eight quantitative indexes, including voltage/current recovery rate, load shedding rate, self-healing input cost to effect ratio, average outage frequency and average outage duration. According to the characteristics of the above index system, the improved analytic hierarchy process (AHP) based on the extended weighted average operator is used to comprehensively evaluate the self-healing of distribution network. Finally, a simulation example is given to verify the effectiveness of the proposed method.

Key words: Distribution network, self-healing, non-fault state, analytic hierarchy process, evaluation

CLC Number:

TM711

ZHANG Ji, CAI Yong, SANG Zixia, YAN Jing, SHEN Yulan, CHEN Yanbo. Comprehensive Evaluation of Self-healing Ability of Distribution Network with Risk Assessment Under Non-fault State[J]. Journal of Electrical Engineering, 2020, 15(4): 35-44.

Figures/Tables 15

References 24

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负荷类别	实际自愈速度	评价
严格负荷	一级速度	很好
	二级速度	差
	三级速度	差
	四级速度	差
敏感负荷	一级速度	很好
	二级速度	好
	三级速度	一般
	四级速度	差
普通负荷	一级速度	很好
	二级速度	很好
	三级速度	好
	四级速度	一般

等级($m_{ij}$的值)	语言描述的程度
1	同等
3	稍微
5	明显
7	强烈
9	极端
2,4,6,8	上述相邻判断的中间值

区段号	1	2	3	4	5	6	7
$Ris{{k}_{L}}$	8.9×10^-5	7.3×10^-5	7.1×10^-5	5.6×10^-5	5.1×10^-5	2.1×10^-5	2.3×10^-5
$Ris{{k}_{V}}$	7.4×10^-4	7.0×10^-4	6.6×10^-4	4.9×10^-4	4.8×10^-4	4.2×10^-4	3.7×10^-4
${{R}_{Li}}$	8.8×10^-4	5.0×10^-4	4.9×10^-4	3.3×10^-4	3.2×10^-4	1.2×10^-4	1.1×10^-4

区段号	1	2	3	4	5	6	7
${{R}_{SHC}}$	6	10	10	6	6	6	6
${{\eta }_{RR}}$	0.88	0.93	0.90	0.89	0.98	0.89	0.99
${{R}_{CL}}$	0.15	0.09	0.13	0.12	0.04	0.14	0.05
${{R}_{ECB}}$	2.77	3.09	2.87	3.04	3.73	2.45	5.12

区段号	1	2	3	4	5	6	7
${{R}_{AOF}}$	5.6	5.2	4.8	1.4	1.2	2.7	0.9
${{R}_{AOD}}$	4.3	4.1	3.9	1.6	1.1	2.5	0.8