网络化氢-电微电网的随机-鲁棒规划：诱导加氢需求研究
Stochastic-Robust Planning of Networked Hydrogen-Electrical Microgrids: A Study on Induced Refueling Demand
AI总结：
针对网络化氢-电微电网规划，提出考虑需求诱导效应的三层随机-鲁棒模型及基于PC&CG的精确分解算法，案例验证了其有效性和DIE的经济贡献。
摘要：
氢-电微电网在能源和交通系统脱碳路径中正扮演越来越重要的角色。本文研究网络化氢-电微电网规划（NHEMP），考虑一个关键但常被忽视的问题，即与基础设施发展决策相关的需求诱导效应（DIE）。具体而言，更高的加氢能力将吸引更多氢动力车辆（HVs）的加氢需求。为捕捉投资决策与诱导加氢需求之间的这种相互作用，我们引入一个决策依赖不确定性（DDU）集，并构建一个三层随机-鲁棒模型。上层确定氢-电微电网的最优投资策略，下层在一系列随机场景中优化风险感知的运行调度，而对于每个场景，中层在单个DDU集内识别加氢需求的“最坏”情况以确保经济可行性。随后，基于参数化列与约束生成（PC&CG）的自适应精确分解算法被定制和开发，以解决计算挑战并定量分析DIE的影响。在IEEE示例系统上的案例研究验证了所提出的NHEMP模型和PC&CG算法的有效性。值得强调的是，DIE对NHEMP的经济效益可做出重要贡献，但当主要瓶颈转移到其他系统限制时，其重要性将逐渐降低。
英文摘要：
Hydrogen-electrical microgrids are increasingly assuming an important role on the pathway toward decarbonization of energy and transportation systems. This paper studies networked hydrogen-electrical microgrids planning (NHEMP), considering a critical but often-overlooked issue, i.e., the demand-inducing effect (DIE) associated with infrastructure development decisions. Specifically, higher refueling capacities will attract more refueling demand of hydrogen-powered vehicles (HVs). To capture such interactions between investment decisions and induced refueling demand, we introduce a decision-dependent uncertainty (DDU) set and build a trilevel stochastic-robust formulation. The upper-level determines optimal investment strategies for hydrogen-electrical microgrids, the lower-level optimizes the risk-aware operation schedules across a series of stochastic scenarios, and, for each scenario, the middle-level identifies the "worst" situation of refueling demand within an individual DDU set to ensure economic feasibility. Then, an adaptive and exact decomposition algorithm, based on Parametric Column-and-Constraint Generation (PC&CG), is customized and developed to address the computational challenge and to quantitatively analyze the impact of DIE. Case studies on an IEEE exemplary system validate the effectiveness of the proposed NHEMP model and the PC&CG algorithm. It is worth highlighting that DIE can make an important contribution to the economic benefits of NHEMP, yet its significance will gradually decrease when the main bottleneck transits to other system restrictions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
