A Multi-Objective Optimization Framework for Peer-to-Peer Energy Trading in South Korea’s Tiered Pricing System

A Multi-Objective Optimization Framework for Peer-to-Peer Energy Trading in South Korea’s Tiered Pricing System

This study proposes a multi-objective optimization framework for peer-to-peer (P2P) energy trading in South Korea’s tiered electricity pricing system. The framework employs the Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) to optimize three conflicting objectives: minimizing...

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Bibliographic Details
Main Authors: Laura Kharatovi, Rahma Gantassi, Zaki Masood, Yonghoon Choi
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
energy trading
microgrid
optimization
P2P
tiered pricing
Online Access:https://www.mdpi.com/2076-3417/14/23/11071

Internet

https://www.mdpi.com/2076-3417/14/23/11071

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