Power Generation and Distribution via Distributed Coordination Control

TL;DR

This paper introduces decentralized control schemes for power coordination, generation, and flow management in distributed grids, ensuring supply-demand balance using local information and consensus algorithms.

Contribution

It proposes novel decentralized algorithms for power coordination, generation, and flow control tailored for distributed grid networks, addressing capacity constraints and supply-demand balance.

Findings

Effective power coordination achieved through simulations

Decentralized algorithms ensure supply-demand balance

Power flow control adapts to capacity differences

Abstract

This paper presents power coordination, power generation, and power flow control schemes for supply-demand balance in distributed grid networks. Consensus schemes using only local information are employed to generate power coordination, power generation and power flow control signals. For the supply-demand balance, it is required to determine the amount of power needed at each distributed power node. Also due to the different power generation capacities of each power node, coordination of power flows among distributed power resources is essentially required. Thus, this paper proposes a decentralized power coordination scheme, a power generation, and a power flow control method considering these constraints based on distributed consensus algorithms. Through numerical simulations, the effectiveness of the proposed approaches is illustrated.