Resilient Expansion Planning of Electricity Grid Under Prolonged Wildfire Risk
Resilient Expansion Planning of Electricity Grid Under Prolonged Wildfire Risk
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DOI：
10.1109/tsg.2023.3241103
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发表时间：
2023-09
影响因子：
9.6
通讯作者：
Reza Bayani;Saeed D. Manshadi
中科院分区：
文献类型：
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作者：
Reza Bayani;Saeed D. Manshadi
在潜在危险的天气条件下，公共安全断电（PSPS）是容易发生野火的地区的紧急措施。虽然平衡野火点燃的风险和能源供应的持续性是一个短期的运营挑战，但本文探讨了最佳的长期弹性扩张规划策略。随着量化的野火点火的风险，建议的扩展规划问题，最大限度地提高了最终用户的供电，同时限制野火点火的风险。该方案提供了三组网络扩展的决策，即增加新的线路，修改现有线路，安装分布式能源（DER）的公用事业决策者。考虑到DERs和野火风险的不确定性，提出了一个两阶段鲁棒优化问题，以确保电力系统对不利事件的弹性。案例研究说明了所提出的模型如何平衡关闭客户，DER安装和线路添加/修改，同时抑制野火点火风险。此外，研究结果表明，通过适当的传输切换，DER安装可以是满足不断增长的需求，同时限制野火点燃风险的最佳选择。不同的风险水平的选择的影响进行了说明，并探讨了不确定性对扩张决策的影响。最后，应用该模型的IEEE 118节点测试网络的结果进行了说明。
Public safety power shut-off (PSPS) during potentially dangerous weather conditions is an emergency measure within areas prone to wildfires. While balancing the risk of wildfire ignition and the continuation of energy supply is a short-term operation challenge, this paper explores the optimal long-term resilient expansion planning strategies. With the quantified risk of wildfire ignition, the proposed expansion planning problem maximizes the supplied power to the end-users while limiting the risk of wildfire ignition. The presented scheme provides utility decision-makers with three groups of network expansion decisions, namely addition of new lines, modification of existing lines, and installation of distributed energy resources (DERs). Given the uncertainty of DERs and wildfire risk, a two-stage robust optimization problem is proposed which ensures power system resilience against unfavorable events. The case studies illustrate how the presented model balances shutting off customers, DER installation, and line addition/modification while inhibiting wildfire ignition risk. Besides, the results suggest that, with appropriate transmission switching, DER installation can be the optimal choice for meeting the growing demand while limiting wildfire ignition risk. The implications of different risk level choices are illustrated, and the impacts of uncertainties on the expansion decisions are explored. Finally, the results of applying the proposed model to the IEEE 118-bus test network are illustrated.