2023
DOI: 10.1155/2023/1190103
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Decentralized Reinforcement Learning Approach for Microgrid Energy Management in Stochastic Environment

Abstract: Microgrids are considered to be smart power grids that can integrate Distributed Energy Resources (DERs) in the main grid cleanly and reliably. Due to the random and unpredictable nature of Renewable Energy Sources (RESs) and electricity demand, designing a control system for microgrid energy management is a complex task. In addition, the policies of microgrid agents are changing over time to improve their expected profits. Therefore, the problem is stochastic and the policies of the agents are not stationary … Show more

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Cited by 8 publications
(3 citation statements)
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“…Here, 𝜑 , 𝑥 represents the expected value of 𝛼 𝑥 given all possible uncertainty realizations at stage 𝑇 and scenario 𝑠. A piecewise linear approximation, known as a polyhedral approximation, is constructed as shown in (13):…”
Section: 𝑚𝑖𝑛 𝐶 𝑥 ⋯ 𝐶 𝑥mentioning
confidence: 99%
See 1 more Smart Citation
“…Here, 𝜑 , 𝑥 represents the expected value of 𝛼 𝑥 given all possible uncertainty realizations at stage 𝑇 and scenario 𝑠. A piecewise linear approximation, known as a polyhedral approximation, is constructed as shown in (13):…”
Section: 𝑚𝑖𝑛 𝐶 𝑥 ⋯ 𝐶 𝑥mentioning
confidence: 99%
“…This frequent updating of decisions is crucial to managing the rapid changes in generation and demand. Effective EMS are crucial for the success of microgrids, ensuring real-time balance and system stability [13]. Poor energy management can lead to increased operational costs and potential instability in the main grid [14].…”
Section: Introductionmentioning
confidence: 99%
“…Single-phase microgrids (1Ø-µGs) have recently received significant consideration as an alternative solution to provide a reliable and sustainable power supply to remote and isolated communities [1][2][3][4][5][6]. These µGs are typically designed to operate autonomously from the main power grid, making them an ideal solution for areas with limited access to conventional grid infrastructure.…”
Section: Introductionmentioning
confidence: 99%