This paper presents an optimal power flow management (OPFM) optimization approach for managing active and reactive energy in a low-voltage microgrid (MG) connected to the main grid that incorporates photovoltaic (PV) systems, battery storage (ESS), a gas turbi...
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Microgrids with substantial incorporation of distributed renewable energy sources face challenges such as magnitude voltage rise, frequency variations, and power quality issues. A novel
In this paper, a data-driven coordinated active and reactive power optimization method is proposed for distribution networks with multi-microgrids. A multi-agent deep reinforcement learning
Reactive power management is essential for the power system operation as it affects energy transmission efficiency, power quality, and voltage stability. Designing and operating
The integration of many distributed energy resources into distribution networks (DNs) can induce large voltage fluctuations and network loss. We introduce a col.
This paper presents an optimal power flow management (OPFM) optimization approach for managing active and reactive energy in a low-voltage microgrid (MG) connected to the main grid
The main objective of this study is to develop a comprehensive energy management strategy for smart microgrids that enables the simultaneous optimization of active and reactive power
ABSTRACT The concept of microgrids (MGs) as compact power systems, incorporating distributed energy resources, generating units, storage systems, and loads, is widely acknowledged
Unlike traditional approaches that focus solely on active power distribution, our energy management system optimizes both active and reactive power allocation among sources.
To address this issue, this paper proposes an active–reactive power coordinated optimization model for distribution network–microgrid clusters considering three-phase imbalance
Despite its significance, suboptimal reactive power planning (RPP) can lead to voltage instability, increased losses, and grid capacity constraints, posing risks to equipment and system...
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