DEPENDABLE SMART ENERGY SYSTEMS

创新技术和解决方案的发展，通过应对前所未有的气候和环境相关挑战，为欧盟、英国及其公民、工业和企业提供支持，是欧洲和英国社会未来几十年的决定性任务。博士网络（DN）“可靠的智能能源系统（DENSE）”旨在通过培训和连接下一代研究人员和创造性创新者，为实现零净目标所需的快速进展，为实现“公平繁荣的社会，现代，资源节约型和竞争性经济”的独特承诺做出贡献。DENSE正在解决个人研究项目和早期研究人员（ESR）的培训，作为智能能源系统（SESs）创新可靠工程的博士候选人（DC）。在这个概念中，“智能能源系统（SESs）”一词指的是一种全面的跨部门方法（例如电力、供暖、制冷、工业、建筑和交通），旨在实现向可持续和可实现的未来能源系统的转变。在DENSE框架内，我们考虑了SES的以下三个具体方面：(i)在系统范围内，我们专注于电力，热力和燃气（氢）网络的最佳综合规划和运行控制；（ii）在组件层面，我们解决了热泵和电动汽车与现有配电网的有效集成和可靠运行问题；（iii）在系统层面上，为了实现(i)和（ii）项，我们通过将基于物理的技术与新兴的数据驱动（学习）方法相结合，开发了新的鲁棒控制和估计技术。因此，DENSE不仅涵盖了智能电网方法，而且还扩展了智能电网方法，智能电网方法主要集中在电力部门。这种跨部门的能源基础设施设计和运营被认为是脱碳不可或缺的。

The development of innovative technologies and solutions, which support the EU, UK and its citizens, industries and businesses by responding to the unprecedented climatic and environmental-related challenges, is the defining task of the European and the UK society for the next decades. The Doctoral Network (DN) "Dependable Smart Energy Systems (DENSE)" aims to contribute delivering the unique commitment of a "fair and prosperous society, with a modern, resource-efficient and competitive economy" by training and connecting next generation of researchers and creative innovators required to swiftly progress towards realizing the Net-Zero ambitions. DENSE is addressing individual research projects and training of early-stage researchers (ESR) as Doctoral Candidates (DC) in the innovative dependable engineering of Smart Energy Systems (SESs).Within this concept, the term "Smart Energy Systems (SESs)" refers to a holistic cross-sectoral approach (e.g. electricity, heating, cooling, industry, buildings and transportation) aimed at excelling the transformation towards sustainable and achievable future energy systems. Within the framework of DENSE, we consider the following three specific aspects of SES: (i) On a system-wide level, we focus on the optimal integrated planning and operation controlof electric, heat and gas (hydrogen) networks; (ii) On a component-level, we address the efficient integration and reliable operation of heat pumps and electric vehicles into existing distribution grids; (iii) On a methodical level and to enable items (i) and (ii), we develop novel robust control and estimation techniques by combining physics-based techniques with emerging data-driven (learning) approaches.Hence, DENSE both covers but also extends beyond the Smart Grid approach, which is mainly focused on the electricity sector. Such cross-sector energy infrastructure design and operation is considered indispensable for decarbonization..