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Found 12 papers, 1 papers with code
Datasets of Great Britain Primary Substations Integrated with Household Heating Information
The parent GSP information helps link the dataset of distribution networks to datasets of transmission networks.
Depreciation Cost is a Poor Proxy for Revenue Lost to Aging in Grid Storage Optimization
Dispatch of a grid energy storage system for arbitrage is typically formulated into a rolling-horizon optimization problem that includes a battery aging model within the cost function.
Home Electricity Data Generator (HEDGE): An open-access tool for the generation of electric vehicle, residential demand, and PV generation profiles
We fill these gaps with the open-access HEDGE tool which generates data sequences of energy data for several days in a way that is consistent for single homes, both in terms of profile magnitude and behavioural clusters.
Centralised rehearsal of decentralised cooperation: Multi-agent reinforcement learning for the scalable coordination of residential energy flexibility
This paper investigates how deep multi-agent reinforcement learning can enable the scalable and privacy-preserving coordination of residential energy flexibility.
An Insurance Paradigm for Improving Power System Resilience via Distributed Investment
Extreme events, exacerbated by climate change, pose significant risks to the energy system and its consumers.
Scalable multi-agent reinforcement learning for distributed control of residential energy flexibility
This paper proposes a novel scalable type of multi-agent reinforcement learning-based coordination for distributed residential energy.
Coordination of resources at the edge of the electricity grid: systematic review and taxonomy
This paper proposes a novel taxonomy of coordination strategies for distributed energy resources at the edge of the electricity grid, based on a systematic analysis of key literature trends.
Distributionally Robust Joint Chance-Constrained Optimization for Networked Microgrids Considering Contingencies and Renewable Uncertainty
In light of a reliable and resilient power system under extreme weather and natural disasters, networked microgrids integrating local renewable resources have been adopted extensively to supply demands when the main utility experiences blackouts.
On the Design of an Insurance Mechanism for Reliability Differentiation in Electricity Markets
Securing an adequate supply of dispatchable resources is critical for keeping a power system reliable under high penetrations of variable generation.
Incorporating forecasting and peer-to-peer negotiation frameworks into a distributed model predictive control approach for meshed electric networks
We propose a novel holistic approach to energy trading composed of a distributed predictive control framework to handle physical interactions, i, e., voltage constraints and power dispatch, together with a negotiation framework to determine pricing policies for energy transactions.
Electricity prices and tariffs to keep everyone happy: a framework for fixed and nodal prices coexistence in distribution grids with optimal tariffs for investment cost recovery
The aim of the proposed framework is to show how traditional non-flexible consumers can coexist with flexible users in a local distribution area.
Improving the Scalability of a Prosumer Cooperative Game with K-Means Clustering
Among the various market structures under peer-to-peer energy sharing, one model based on cooperative game theory provides clear incentives for prosumers to collaboratively schedule their energy resources.
