A novel surrogate polytope method for day-ahead virtual power plant scheduling with joint probabilistic constraints-Reference-Cited by-同舟云学术

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A novel surrogate polytope method for day-ahead virtual power plant scheduling with joint probabilistic constraints

Published:2024-09 Issue: Volume:234 Page:110623
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Zhou Yihong^ORCID,Essayeh Chaimaa^ORCID,Morstyn Thomas

Funder

University of Edinburgh

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Reference37 articles.

1. Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants;Morstyn;Nat. Energy,2018

2. Tesla virtual power plant with PG&E;Tesla,2023

3. Virtual power plant and system integration of distributed energy resources;Pudjianto;IET Renew. Power Gener.,2007

4. A review on aggregation approaches of controllable distributed energy units in electrical power systems;Braun;Int. J. Distrib. Energy Resour.,2008

5. A data-driven scheduling model of virtual power plant using Wasserstein distributionally robust optimization;Liu;Int. J. Electr. Power Energy Syst.,2022

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