Impact of the economic environment modelling for the optimal design of a multi-energy microgrid
The paper discusses the impact of the problem formulation for the optimal design of a multi-energy microgrid. The study shows that the energy rates affect the output results much more than any other parameter such as the cost of equipment or the assets efficiencies (ratio 1 to 100). The main focus o...
Main Authors: | Rigo-Mariani, Rémy, Ooi, Sean Chea Wae, Mazzoni, Stefano |
---|---|
Other Authors: | 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (IECON) |
Format: | Conference Paper |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/147639 |
Similar Items
-
A generic benchmark for power market analysis from generation mix to end-users
by: Rigo-Mariani, Remy, et al.
Published: (2020) -
Multi-agent deep reinforcement learning based distributed control architecture for interconnected multi-energy microgrid energy management and optimization
by: Zhang, Bin, et al.
Published: (2023) -
Bayesian optimization enhanced deep reinforcement learning for trajectory planning and network formation in multi-UAV networks
by: Gong, Shimin, et al.
Published: (2023) -
Energy storage planning and risk management
by: Xiao, Jiaxi
Published: (2024) -
Optimization of Financial Indicators in Shale-Gas Wells Combining Numerical Decline Curve Analysis and Economic Data Analysis
by: Soage, Andres, et al.
Published: (2024)