从功能到演化：未来自组织联邦能源社区的系统复杂性视角
From functioning to evolving: A complex systems perspective on future self-organised federated energy communities
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中文总结 AI 辅助
本文从系统复杂性视角，借鉴互联网与敏捷软件工程经验，提出面向演化的设计原则，以支持未来自组织联邦能源社区应对净零转型与不确定性。
中文摘要 AI 辅助
能源网络正面临由可再生能源整合、灵活性需求的不确定性、分布式市场以及智能需求驱动的范式转变。日益增长的资产交互、对通信和计算系统的网络依赖，以及AI智能体的部署，要求采用一种整体性、系统级的方法来理解系统的涌现行为。这些转变影响着能源生产、需求适应、电网运行和市场动态，形成了一个复杂的工程化“系统的系统”。我们认为，系统复杂性视角有助于理解这一演化过程。借鉴互联网和敏捷软件工程这两个高度成功的大规模工程化系统的经验，我们强调，优先考虑面向演化的设计而非传统的面向功能的设计，能够使能源系统适应净零动态并处理不可预见的的不确定性。我们讨论了联邦能源社区（FEC）这一旨在实现具有分布式协调的开放能源系统的概念如何与此视角相契合。在FEC中，每个能源社区（EC）生产、存储并管理自身能源，使其能够与同行交易、遵守电网约束并达成公平协议。除监管问题外，主要挑战在于识别能够在电力网络所需的规模和可靠性标准下协调EC运行的约束条件，同时不必要地限制系统演化所需的创新。最后，我们通过面向演化的设计视角，提出了未来去中心化、自组织能源网络的初步设计原则，以及如何将其应用于自主能源社区的自底向上架构。
英文摘要
Energy networks face a paradigm shift driven by renewable integration, uncertainty about required flexibility, distributed markets, and smart demand. Increasing asset interactions, cyber dependencies on communication and computation systems, and the deployment of AI agents demand a holistic, system-wide approach to understand the system's emergent behaviour. These transformations affect energy generation, demand adaptation, grid operations, and market dynamics, forming a complex engineered \emph{system of systems}. We argue that a complex-systems perspective can help to understand this evolution. Drawing lessons from two highly successful large-scale engineered systems, the Internet and agile software engineering, we highlight how prioritising design for evolution over traditional design for functionality enables energy systems to adapt to net-zero dynamics and handle unforeseen uncertainties. We discuss how the notion of federated energy communities (FEC), which aims for an open energy system with distributed coordination, aligns with this perspective. In FECs, each EC produces, stores, and manages its own energy, enabling it to trade with peers, respect grid constraints, and reach fair agreements. Beyond regulatory issues, the main challenge is identifying constraints that can orchestrate EC operations at the scale and reliability standards required of power networks, without unnecessarily limiting the innovation needed for system evolution. We then conclude with tentative design principles for future decentralised, self-organised energy networks through the lens of design for evolution, and how to apply them to a bottom-up architecture of autonomous energy communities.
发表机构
- Coventry University（考文垂大学）
机构由 AI 辅助整理，请以论文原文为准。
