Work

A Multi-Agent Framework for Smart Grid Simulations: Strategies for power-to-heat flexibility management in residential context

Year: 2023

Type: article

Abstract: The complexity of a system, such as the Smart Grid, comes from the interaction of different fields of expertise and actors cooperating together. As a result, co-simulation frameworks are emerging to meet the need for analysis from a broader perspective. The feature to better understand the Smart Grid environment is the ability to simulate its different components simultaneously. Therefore, we propose a multi-agent co-simulation framework that can serve as a test-bed for multiple Smart Grid strategies. In particular, we focus on Demand Response programs that exploit the thermal behaviour of residential buildings. The proposed framework is modular to test Plug&Play models. Moreover, it is highly flexible and configurable to evaluate realistic scenarios. We tested the platform on a case study of 1,000 buildings, performing an analysis of the effects of micro temperature deviations in buildings on the primary grid substation balancing problem. The results show the flexibility of the platform in testing different strategies. Moreover, power imbalances could be mitigated simply by acting on the indoor temperature set-points with smaller deviations.

Source: Sustainable Energy Grids and Networks

DOI: 10.1016/j.segan.2023.101072

Authors: Pietro Rando Mazzarino, Alberto Macii, Lorenzo Bottaccioli, Edoardo Patti

Institution: Politecnico di Torino

Language: English

Topic: Smart Grid Energy Management

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: hybrid

Estimated APC paid: $2,170