Decentralised Integration of Renewable Energy sources through smart grid Technologies (DIRECT)

通过智能电网技术分散整合可再生能源（直接）

• 批准号: 2906642
• 金额: --
• 依托单位: Durham University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2906642
• 关键词: Decentralised; Integration; Renewable; Energy; sources

Renewable energy sources (RESs) open up new opportunities for improving sustainability, but they also introduce more risks or failures, e.g., widespread blackouts on 9th August 2019 in the UK were exaggerated by inadvertent tripping and disconnection of RESs. Hence it become urgent to develop more innovative and secure technologies for integrating RESs. Virtual Power Plant (VPP) is one of such potential technologies. It aggregates small embedded generation (e.g. solar), and then operates as a conventional power plant (from transmission system point of view) by complying with grid codes. DIRECT project aims to develop new decentralised VPP operation mechanisms for improving system security, and test them at Durham Smart Grid Laboratory that is equipped with £1m worth of real-time digital simulators (2 RTDSs) and RES emulators (wind/solar emulators). A particular focus will be placed on coordinating RESs with energy storage by exploiting data using machine learning techniques. Moreover, new p2p energy trading and multi-vector energy system mechanisms will be developed using Blockchain technologies. We will use this expertise to examine the impact of new PV technologies on the grid, for example, considering differing PV yield in low/diffuse light conditions. The key questions to answer will be what opportunities and challenges do new PV technologies present for future smart grids.

可再生能源 (RES) 为提高可持续性提供了新的机遇，但也带来了更多风险或失败，例如，2019 年 8 月 9 日英国大面积停电事件因 RES 的无意跳闸和断开而被夸大。因此，迫切需要开发更具创新性和安全性的技术来集成可再生能源。虚拟电厂（VPP）就是此类潜在技术之一。它聚集小型嵌入式发电（例如太阳能），然后通过遵守电网规范作为传统发电厂（从传输系统的角度来看）运行。 DIRECT项目旨在开发新的去中心化VPP运行机制，以提高系统安全性，并在杜伦智能电网实验室进行测试，该实验室配备了价值100万英镑的实时数字模拟器（2个RTDS）和RES模拟器（风能/太阳能模拟器）。将特别关注通过使用机器学习技术利用数据来协调可再生能源与能源存储。此外，将利用区块链技术开发新的点对点能源交易和多向量能源系统机制。我们将利用这些专业知识来研究新光伏技术对电网的影响，例如，考虑弱光/漫射光条件下不同的光伏发电量。需要回答的关键问题是新的光伏技术为未来智能电网带来了哪些机遇和挑战。