Distributed energy management of multi-entity integrated electricity and heat systems: A review of architectures, optimization algorithms, and prospects

W Zheng, H Lu, M Zhang, Q Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Synergies among multiple energy sectors in an integrated electricity and heat system (IEHS)
improve energy efficiency, economic operation and renewable energy utilization, thus …

[HTML][HTML] A multi-stage stochastic programming model for the unit commitment of conventional and virtual power plants bidding in the day-ahead and ancillary services …

A Fusco, D Gioffrè, AF Castelli, C Bovo, E Martelli - Applied Energy, 2023 - Elsevier
As more uncontrollable renewable energy sources are present in the power generation
portfolio, the need of more detailed and reliable tools for the optimal operation of energy …

Economic-emission dispatch problem in integrated electricity and heat system considering multi-energy demand response and carbon capture Technologies

D Yang, Y Xu, X Liu, C Jiang, F Nie, Z Ran - Energy, 2022 - Elsevier
To combat global warming caused by excessive CO 2 emissions, it is critical to achieving
low-carbon economic operation of integrated electricity and heat systems (IEHS). Thermal …

[HTML][HTML] Techno-economic optimization of high-temperature heat pumps for waste heat recovery

A Vannoni, A Sorce, A Traverso… - Energy Conversion and …, 2023 - Elsevier
Heat Pumps will play a crucial role in decarbonizing the heat supply, however, the
progressive phase-out of environmentally impactful fluids and relevant cost of investments …

Distributed conditional-distributionally robust coordination for an electrical power and flexibility-enhanced district heating system

C Yang, Z Li - Applied Energy, 2023 - Elsevier
In an integrated electricity and heating system (IEHS), building flexibility-enhanced district
heating systems (DHSs) that use advanced flexibility-enhanced technologies are effective …

A time-scale adaptive dispatching strategy considering the matching of time characteristics and dispatching periods of the integrated energy system

X Wang, L Han, C Wang, H Yu, X Yu - Energy, 2023 - Elsevier
With the increasing proportion of renewable energy such as wind power accessing the grid,
it is gradually difficult to deal with the renewable energy forecasting error only by …

Optimal planning for integrated electricity and heat systems using CNN-BiLSTM-Attention network forecasts

F Li, S Liu, T Wang, R Liu - Energy, 2024 - Elsevier
This paper investigates optimal planning of integrated electricity and heat systems (IEHS)
based on convolutional neural network-bidirectional long short term memory with attention …

Robust optimal operation of energy hub incorporating integrated thermal and electrical demand response programs under various electric vehicle charging modes

M Aslani, M Mashayekhi, H Hashemi-Dezaki, A Ketabi - Applied Energy, 2022 - Elsevier
Although the energy hub (EH) concept results in different benefits, the system uncertainties
might affect the optimized decisions. Several studies have studied EH's optimal operation …

The predictive management in campus heating system based on deep reinforcement learning and probabilistic heat demands forecasting

M Chen, Z **e, Y Sun, S Zheng - Applied Energy, 2023 - Elsevier
As a promising technology for replacing the rule-based decision-making in region heating
systems (RHS), deep reinforcement learning (DRL) is a practical solution to identify the …

A DSO-based day-ahead market mechanism for optimal operational planning of active distribution network

BV Suryakiran, S Nizami, A Verma, TK Saha, S Mishra - Energy, 2023 - Elsevier
Grid-edge distributed energy resources (DERs) present both operational challenges and
opportunities to distribution system operators (DSO). This paper presents a day-ahead …