Practical Model for Optimal Carbon Control With Distributed Energy Resources

Abstract

The generation, consumption, and transmission of distributed energy produced by a microgrid are becoming increasingly important topics in scientific research. As a power source that partly relies on renewable energy, microgrids play a vital role in the global energy network. In this study, the underlying principles and management techniques of microgrids are introduced. Microgrids can reduce the carbon footprint of the energy production process. This study also provides insight into how decision-makers can confidently mitigate the uncertainties inherent in this kind of renewable energy system by proposing an optimization algorithm for microgrid energy management. By investigating several commercial microgrid cases, a mathematical model that allows the user to arrive at the optimal trade-off between energy generation and carbon production in a given scenario is created. Careful analysis of energy transactions and distributed energy sources indicates that energy blockchain technology is a valuable asset for expanding the use of clean energies, reducing carbon emissions in power and optimizing microgrid power management. Finally, the challenges of microgrid energy management and potential transaction models for the energy blockchain are discussed.

Keywords

• Distributed energy resources
• decarbonized power
• energy blockchain power generation
• microgrid
• optimal scheduling
• peer-to-peer transactions