Modelling and control of multi-energy systems through Multi-Prosumer Node and Economic Model Predictive Control-Reference-Cited by-同舟云学术

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Modelling and control of multi-energy systems through Multi-Prosumer Node and Economic Model Predictive Control

Published:2020-06 Issue: Volume:118 Page:105778
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Blaud Pierre Clément,Haurant Pierrick,Claveau Fabien,Lacarrière Bruno,Chevrel Philippe,Mouraud Anthony

Funder

Conseil Régional des Pays de la Loire

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference59 articles.

1. Systems & control for the future of humanity, research agenda: current and future roles, impact and grand challenges;Lamnabhi-Lagarrigue;Ann Rev Control,2017

2. MES (multi-energy systems): an overview of concepts and evaluation models;Mancarella;Energy,2014

3. Economic MPC for a linear stochastic system of energy units;Jørgensen,2016

4. Robust economic model predictive control of a community micro-grid;Pereira;Renew Energy,2017

5. Economic model predictive and feedback control of a smart grid prosumer node;Liberati;Energies,2018

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Safe reinforcement learning based optimal low-carbon scheduling strategy for multi-energy system;Sustainable Energy, Grids and Networks;2024-09

2. Smart grid evolution: Predictive control of distributed energy resources—A review;International Journal of Electrical Power & Energy Systems;2023-05

3. Mind the gap between PV generation and residential load curves: Maximizing the roof-top PV usage for prosumers with an IoT-based adaptive optimization and control module;Expert Systems with Applications;2023-02

4. Predictive Control and Benefit Sharing in Multi-Energy Systems;IEEE Transactions on Control Systems Technology;2023

5. On an Information and Control Architecture for Future Electric Energy Systems;Proceedings of the IEEE;2022-12

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