论文标题
基于弹性的电部门优化，响应具有分布式生成系统的极端天气条件
Resilience based Electric Sector Optimization in Response to Extreme Weather Conditions with Distributed Generation Systems
论文作者
论文摘要
气候变化引起的极端天气事件会对电力系统造成重大破坏和破坏。无法减轻和适应气候变化及其级联效应可能导致短期和长期问题。电力系统中停电的巨大成本与对损失关键服务的个人安全性和安全性的影响相结合，需要迫切需要保证电力系统中的弹性。本文提出了一个框架，以优化电力部门设计，以便使用分布式发电机更适合气候变化和极端天气事件。所提出的框架认为在不确定的环境下，组件的动态行为和相互依存关系。气候数据和社会经济因素用于产生需求和供应模式方案。在随机优化模型中模拟和使用生成的方案，以找到基于最佳弹性的系统设计。
Extreme weather events stemming from climate change can cause significant damage and disruption to power systems. Failure to mitigate and adapt to climate change and its cascading effects can lead to short and long term issues. The profound costs of outage in power systems, integrated with the impacts on individual safety and security from loss of critical services, necessitate an urgent need to guarantee resilience in electric power systems. This article proposes a framework to optimize the electricity sector design to be more resilient to climate change and extreme weather events by using distributed generators. The proposed framework considers components dynamic behavior and interdependencies under an uncertain environment. The climate data and socio economic factors are used to generate demand and supply pattern scenarios. The generated scenarios are simulated and utilized in a stochastic optimization model to find the optimal resilience based system design.
