Smart Local Energy Systems (SLES) are becoming more complex. Renewable energy sources and storage options are rapidly multiplying at the same time as connectivity between multiple generation and distribution sub-systems vary over time and space. Stakeholders, users and beneficiaries involved in the energy sector need to overcome SLES constraints and develop systems that are demonstrably futureproof.
To enable this transition to happen, SLES call for more, and better, use of data through advanced modelling using Artificial Intelligence (AI) techniques and improved control. Increased use of data introduces concerns around cyber security infrastructure, meaning that very careful consideration must be given to how securely the data is stored and the need for protocols to ensure this security. The system, and the data within it, must be “wrapped” in a cyber-security shell that is appropriate to the context, including the type of users and the processes involved in data transfer.
Our goal is to inform Prospering From an Energy Revolution (PFER), the Demonstrators and the wider energy sector by enabling them to build data architectures and data pipelines that can support SLES deployments and extensions.
To assist this we have work streams developing:
We are contributing to specifications for the plug and play monitoring, control, and operation of SLES.
Our work will allow SLES to transition smoothly from minimum viable services to fully featured systems and use-cases through the development of agile and future-ready architectures.
Our advances can translate from a research environment into real-life contexts and prototypes and our technical innovations aim to support the deployment of increasing levels of AI and intelligence.
By carrying out reviews, and producing briefing papers and white papers, we can inform stakeholder groups on the current state of the art in: Data pipelines, measurements and architectures; AI and Agent-based systems; Distributed Control Systems and Cyber-Security.
Theme Lead: Elena Gaura
Report: Cybersecurity in Smart Local Energy Systems: requirements, challenges, and standards (April 2022)
Journal Paper: Model-based two-layer control design for optimal power management in wind-battery microgrids (January 2022)
Journal Paper: Demand-side management in a micro-grid with multiple retailers: a coalitional game approach (January 2022)
Briefing: Cyber-physical components of an autonomous and scalable SLES (December 2021)
Conference Paper: Decentralised nonlinear MPC for grid-connected microgrids with preview information (July 2021)
Conference Paper: Demand-Side Management in a Micro-Grid with Multiple Retailers: A Coalitional Game Approach (June 2021)
Briefing: ICT Infrastructure Supporting Smart Local Energy Systems (January 2021)
Journal Paper: Current-Limiting Droop Control Design and Stability Analysis for Paralleled Boost Converters in DC Microgrids (January 2021)
Journal Paper: Grid-Supporting Three-Phase Inverters with Inherent RMS Current Limitation Under Balanced Grid Voltage Sags (November 2020)
Journal Paper: Framework design and optimal bidding strategy for ancillary service provision from a peer-to-peer energy trading community (November 2020)
Journal Paper: Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model (September 2020)
Conference Paper: Flexible Fog Computing Architecture for Smart Microgrids (September 2020)
Journal Paper: Stability analysis and nonlinear current-limiting control design for DC micro-grids with CPLs (May 2020)
Conference Paper: Online pricing via stackelberg and incentive games in a micro-grid (June 2019)