A review on microgrids' challenges & perspectives

MH Saeed, W Fangzong, BA Kalwar, S Iqbal - IEEE Access, 2021 - ieeexplore.ieee.org
Due to the sheer global energy crisis, concerns about fuel exhaustion, electricity shortages,
and global warming are becoming increasingly severe. Solar and wind energy, which are …

[HTML][HTML] Role of optimization techniques in microgrid energy management systems—A review

GS Thirunavukkarasu, M Seyedmahmoudian… - Energy Strategy …, 2022 - Elsevier
Expeditious urbanization, population growth, and technological advancements in the past
decade have significantly impacted the rise of energy demand across the world. Mitigation of …

Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process

G Li, R Zhang, T Jiang, H Chen, L Bai, X Li - Applied energy, 2017 - Elsevier
Worldwide natural gas consumption has increased significantly, especially for power
generation in electricity systems with the gas-to-power (G2P) process of natural gas fired …

Life cycle assessment of greenhouse gas emissions and water-energy optimization for shale gas supply chain planning based on multi-level approach: Case study in …

Y Chen, L He, Y Guan, H Lu, J Li - Energy conversion and management, 2017 - Elsevier
This study develops a multi-level programming model from a life cycle perspective for
performing shale-gas supply chain system. A set of leader-follower-interactive objectives …

Stochastic optimal scheduling strategy of cross-regional carbon emissions trading and green certificate trading market based on Stackelberg game

S Yan, W Wang, X Li, H Lv, T Fan, S Aikepaer - Renewable Energy, 2023 - Elsevier
Under the urgent goal of" carbon peaking and carbon neutralization" in China and based on
the distribution characteristics of renewable energy, it is essential to promote the large-scale …

A two-stage stochastic Stackelberg model for microgrid operation with chance constraints for renewable energy generation uncertainty

Y Matamala, F Feijoo - Applied Energy, 2021 - Elsevier
In order to reduce greenhouse gas emissions, countries worldwide are transforming their
energy systems with higher shares of renewable energy and smart technologies for demand …

Long-term microgrid expansion planning with resilience and environmental benefits using deep reinforcement learning

K Pang, J Zhou, S Tsianikas, DW Coit, Y Ma - Renewable and Sustainable …, 2024 - Elsevier
Microgrid plays an increasingly important role to enhance power resilience and
environmental protection regarding greenhouse gas emission reduction through the …

[HTML][HTML] Peer-to-peer energy trading among multiple microgrids considering risks over uncertainty and distribution network reconfiguration: A fully distributed …

H Hou, Z Wang, B Zhao, L Zhang, Y Shi… - International Journal of …, 2023 - Elsevier
This paper proposes a two-layer optimization framework to co-optimize the P2P energy
trading among multiple microgrids (MMGs) under uncertainty and optimal topology planning …

Strategic decision-making of distribution network operator with multi-microgrids considering demand response program

M Jalali, K Zare, H Seyedi - Energy, 2017 - Elsevier
In this paper, the operation scheduling of future distribution network is discussed under
assumption of multi-microgrids. The economic operation scheduling of distribution network …

[HTML][HTML] A review of mixed-integer linear formulations for framework-based energy system models

M Hoffmann, BU Schyska, J Bartels, T Pelser… - Advances in Applied …, 2024 - Elsevier
Optimization-based frameworks for energy system modeling such as TIMES, ETHOS. FINE,
or PyPSA have emerged as important tools to outline a cost-efficient energy transition …