Distributed cooperative control algorithm for optimal power sharing for

Research on the optimal power allocation of large-scale distributed generator (DG) units based on user power generation to access microgrids (MGs) in a multi-agent system framework has

Frontiers | A Game Optimization Scheduling Strategy of Active

In a study by Fu et al. (2020), an energy management framework of a hybrid AC/DC distribution system with MGs is established, and the benefit equilibrium of various entities is obtained

A Game-Theoretic Approach of Optimized Operation of AC/DC Hybrid

To maximize the benefits of microgrid clusters, a general model and analysis method for studying the optimized operation of AC/DC microgrid clusters using non-cooperative games is proposed. This

Energy management of hybrid AC/DC microgrid considering incentive‐based

This paper investigates the challenges and potential of high renewable penetration in hybrid AC–DC MGs, analysing the role of demand response programs in system optimization. The

Optimal scheduling of a hybrid AC/DC multi-energy microgrid

In this paper, a two-level optimization model for the day-ahead scheduling of a hybrid AC/DC MEMG considering multiple uncertainties and Stackelberg game-based IDR is proposed.

MICROGRIDS

a multi-stage, non-cooperative, zero-sum game with the attacker and the defender modeled as opposing players. To solve the game, this paper proposes a deep reinforcement learning-based strategy that

Energy Management for Hybrid AC/DC Distribution System With

This paper presents a novel coordinated energy management approach for hybrid AC/DC distribution system with microgrid clusters considering multiple market players, which is modeled as a bi-level