Risk-involved dominant optimization of multi-energy CCHP-P2G-based microgrids integrated with a variety of storage technologies-Reference-Cited by-同舟云学术

Risk-involved dominant optimization of multi-energy CCHP-P2G-based microgrids integrated with a variety of storage technologies

Published:2024-03 Issue: Volume:80 Page:110260
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Zhang Liyuan,Jin Qiqi,Zhang Weichen,Chen Lyuyan,Yang Na,Chen Bowei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference65 articles.

1. A stochastic model for microgrids planning considering smart prosumers, electric vehicles and energy storages;Habib;Journal of Energy Storage,2023

2. Energy efficient behavior modelling for demand side recommender system in solar microgrid applications using multi-agent reinforcement learning model;Onile;Sustain. Cities Soc.,2023

3. Information gap decision theory for operation of combined cooling, heat and power microgrids with battery charging stations;Jordehi;Sustain. Cities Soc.,2021

4. A study on a milk chiller latent storage system with phase change material encapsulated spherical balls;Jilte;Journal of Energy Storage,2023

5. Bi-objective optimization and environmental assessment of SOFC-based cogeneration system: performance evaluation with various organic fluids;Tian;Process Saf. Environ. Prot.,2023

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