约旦输电电网的开放合成测试系统

中文摘要 AI 辅助

开放合成测试系统是可复现电力系统研究的关键，但现有案例几乎仅代表北美和欧洲电网。中东国家尚无开放输电测试系统，其电网存在单一走廊燃料供应韧性、小型同步系统内高可再生能源运行等独特问题，现有基准无法验证这些问题。本文提出一种约旦输电电网的合成测试系统，完全由公开来源构建：根据已发表的图表重建真实拓扑结构，恢复至2018年的带电状态，包含电厂级发电、可再生能源集群、各站点每小时负荷曲线，并校准至约旦电网运营商发布的数值。该案例通过结构统计（符合真实电网标准）、潮流与N-1筛选、能量加权损耗分解、全年生产-成本运行（与已发表的各电厂发电量对比）及跨求解器验证完成验证。模型在技术层面重现了年度能源结构（最大生产者偏差在4%以内，系统总偏差在0.1%以内），发布的数据集包含母线标识密钥、所有脚本及2019年后场景变体。该测试案例旨在为系统级资源充足性、时间序列调度与机组组合、可再生能源整合、燃料供应韧性场景、互联研究及稳态研究提供基准。

英文摘要

Open synthetic test systems are essential for reproducible power system research, yet the available cases represent almost exclusively North American and European grids. No open transmission test system exists for any Middle Eastern country, whose grids raise different questions such as single corridor fuel-supply resilience and high-renewable operation within small synchronous systems, and established benchmarks cannot demonstrate. This paper presents a synthetic test system for the Jordanian transmission grid, assembled entirely from public sources, where the real topology is reconstructed from a published diagram and restored to its 2018 energized state, with plant-level generation and renewable fleets, per-site hourly profiles, and loads calibrated to the values published by Jordan's grid operators. The case is validated through structural statistics against real-grid criteria, power flow and $N\!-\!1$ screening, an energy-weighted loss decomposition, in addition to a full-year production-cost run compared against the published per-plant energy, and cross-solver verification. The model reproduces the annual energy mix at technology level (largest producers within 4\%, system total within 0.1\%), and the released dataset includes the bus-identity key, all scripts, and a post-2019 scenario variant. This test case is designed to benchmark system-level resource adequacy, time-series dispatch and unit commitment, renewable integration, fuel-supply resilience scenarios, interconnection studies and steady-state studies.

发表机构

• School of Electrical and Computer Engineering, University of Colorado Boulder（科罗拉多大学博尔德分校电气与计算机工程学院）
• Renewable and Sustainable Energy Institute (RASEI), University of Colorado Boulder（科罗拉多大学博尔德分校可再生能源与可持续能源研究所）

机构由 AI 辅助整理，请以论文原文为准。