Review of optimization methods for energy hub planning, operation, trading, and control
The increasing concerns with adverse environmental issues have led to the proliferation of
renewable energy resources (RESs), which have been expanded more recently to multi …
renewable energy resources (RESs), which have been expanded more recently to multi …
Emerging trends and approaches for designing net-zero low-carbon integrated energy networks: A review of current practices
The incorporation of net-zero technology into preexisting energy networks is crucial for
facilitating the shift toward an ecologically conscious and sustainable energy infrastructure …
facilitating the shift toward an ecologically conscious and sustainable energy infrastructure …
碳中和目标下的能源系统转型与变革: 多能流协同技术.
陈胜, 卫志农, 顾伟, 郭庆来 - Electric Power Automation …, 2021 - search.ebscohost.com
近年来全球多个国家提出了碳中和战略目标, 能源系统的转型与变革已迫在眉睫.
在能源系统低碳化转型路径中, 高比例新能源渗透充当了极为重要的战略角色 …
在能源系统低碳化转型路径中, 高比例新能源渗透充当了极为重要的战略角色 …
Low-carbon economic dispatch method for integrated energy system considering seasonal carbon flow dynamic balance
N Yan, G Ma, X Li, JM Guerrero - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In order to solve the problems of excessive carbon emissions and environmental pollution
caused by the current carbon trading policy, this paper breaks the traditional annual carbon …
caused by the current carbon trading policy, this paper breaks the traditional annual carbon …
Blockchain for transacting energy and carbon allowance in networked microgrids
M Yan, M Shahidehpour… - … on Smart Grid, 2021 - ieeexplore.ieee.org
This paper proposes a blockchain application for transacting energy and carbon allowance
in networked microgrids (MGs). MGs submit trading energy and carbon allowance data to …
in networked microgrids (MGs). MGs submit trading energy and carbon allowance data to …
Hybrid policy-based reinforcement learning of adaptive energy management for the Energy transmission-constrained island group
L Yang, X Li, M Sun, C Sun - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
This article proposes a hybrid policy-based reinforcement learning (HPRL) adaptive energy
management to realize the optimal operation for the island group energy system with energy …
management to realize the optimal operation for the island group energy system with energy …
Peer-to-peer joint electricity and carbon trading based on carbon-aware distribution locational marginal pricing
Z Lu, L Bai, J Wang, J Wei, Y Xiao… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
This paper proposes a novel Peer-to-Peer (P2P) joint electricity and carbon (E&C) trading
model to co-optimize the energy and carbon emissions permit transactions considering the …
model to co-optimize the energy and carbon emissions permit transactions considering the …
Cooperative-game-based day-ahead scheduling of local integrated energy systems with shared energy storage
C Chen, Y Li, W Qiu, C Liu, Q Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In the context of the current sharing economy, the application of shared energy storage
(SES) among local integrated energy systems (LIESs) is underexplored. There is an urgent …
(SES) among local integrated energy systems (LIESs) is underexplored. There is an urgent …
Distributionally robust day-ahead scheduling of park-level integrated energy system considering generalized energy storages
C Chen, X Wu, Y Li, X Zhu, Z Li, J Ma, W Qiu, C Liu… - Applied Energy, 2021 - Elsevier
The optimal scheduling of park-level integrated energy system can improve the efficiency of
energy utilization and promote the consumption level of renewable energy. However, the …
energy utilization and promote the consumption level of renewable energy. However, the …
Optimal power scheduling using data-driven carbon emission flow modelling for carbon intensity control
Regarding the continuing increase of anthropogenic carbon emissions in the power system
with growing energy consumption, researchers have focused on managing the demand side …
with growing energy consumption, researchers have focused on managing the demand side …