Quantifying power system resiliency improvement using network reconfiguration

Quantifying power system resiliency improvement using network reconfiguration
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使用网络重新配置量化电力系统弹性改进

DOI:
10.1109/mwscas.2017.8053185
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发表时间:
2017
期刊:
2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS)
影响因子:
--
通讯作者:
P. Dehghanian
P. Dehghanian
中科院分区:
--
文献类型:
--
作者:
Pooria Dehghanian;S. Aslan;P. Dehghanian

文献摘要

被引文献

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电网的复杂性及其多样化的关键基础设施已不断演变为更加复杂的网络,容易受到内部和外部来源的不可预测的危险的影响。大型智能电网的弹性评估最近引起了电力行业的广泛关注,以在紧急情况下提高日常运营效率。本文旨在量化电力系统在应对电网严重脆弱性和极端紧急情况时的弹性。建议的弹性改进方法是通过传输网络重新配置,以最小的额外成本利用现有的系统基础设施。重新配置的应用概念是预测性规划并用作临时运行机制,主要目的是停电恢复。系统弹性特征,例如灵活性、容量恢复和施加的成本指数,针对每个最佳重新配置选项进行量化,帮助系统运营商评估恢复选项并考虑其对系统弹性要求的影响来决定最终实施计划。所提出的方法在 IEEE 118 总线测试系统上在严重意外情况下进行了测试,结果揭示了其适用性和效率。
Electricity grid complexity with its diverse critical infrastructures has been continuously evolved into a more complicated network that is vulnerable to unpredictable hazards of internal and external origins. Resiliency assessment of the large-scale smart electricity grids has recently attracted many attentions in electric industry for more efficient daily operations in face of emergencies. This paper aims to quantify the power system resiliency in dealing with grid severe vulnerabilities and extreme emergencies. The suggested approach for resiliency improvement is to harness the existing system infrastructure, with minimum additional cost, through transmission network reconfiguration. The applied concept of reconfiguration is predictively planned and used as a temporary operation mechanism for the main sake of electricity outage recovery. The system resiliency features, e.g., flexibility, capacity recovery and the imposed cost indices, are quantified for each optimal reconfiguration option, helping the system operators evaluate the recovery options and decide on the final plan for implementation considering its impacts on system resiliency requirements. The suggested approach is tested on the IEEE 118-Bus test system under a critical contingency and the results reveal its applicability and efficiency.