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Data-Driven Multi-Energy Investment and Management Under Earthquakes

机译：数据驱动的多能量投资和地震下的管理

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Seismic events can severely damage both electricity and natural gas systems, causing devastating consequences. Ensuring the secure and reliable operation of the integrated energy system (IES) is of high importance to avoid potential damage to the infrastructure and reduce economic losses. This article proposes a new optimal two-stage optimization to enhance the reliability of IES planning and operation against seismic attacks. In the first stage, hardening investment on the IES is conducted, featuring preventive measures for seismic attacks. The second stage minimizes the expected operation cost of emergency response. The random seismic attack is modeled as uncertainty, which is realized after the first stage. An explicit damage assessment model is developed to define the budget set of the uncertain seismic activity. Based on the survivability of transmission lines and gas pipelines of IES, an optimal system investment plan is developed. The problem is formulated as a two-stage distributionally robust optimization (DRO) model, which is tested on an integrated IEEE 30-bus system and 20-node gas network. Case studies demonstrate that the two-stage DRO outperforms robust optimization and a single-stage optimization model in terms of minimizing the investment cost and expected economic loss. This article can help system operators to make economical hardening and operation strategies to improve the reliability of IES under seismic attacks, thus managing a more robust and secure energy system.
机译：地震事件可能严重损害电力和天然气系统，导致破坏性后果。确保集成能量系统（IE）的安全可靠运行高度重视，以避免对基础设施的潜在损害，降低经济损失。本文提出了一种新的最佳两级优化，以提高IES规划和对抗地震攻击的可靠性。在第一阶段，进行了对IES的强化投资，以防止地震攻击为例。第二阶段最大限度地减少了紧急响应的预期运营成本。随机地震攻击被建模为不确定性，这是在第一阶段之后实现的。开发了一种明确的损伤评估模型来定义不确定地震活动的预算集。基于IES传输线和天然气管道的生存能力，开发了最佳的系统投资计划。该问题被制定为两阶段分布鲁棒优化（DRO）模型，其在集成的IEEE 30-Bus系统和20节点气体网络上测试。案例研究表明，两级DRO优于鲁棒优化，并在最小化投资成本和预期的经济损失方面表现出稳健的优化和单级优化模型。本文可以帮助系统运营商进行经济的硬化和运行策略，以提高地震攻击下IES的可靠性，从而管理更强大和安全的能源系统。

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