JOURNAL ARTICLE

Distributed Network Control by Multi-agent System

Satoshi KikuchiMichihiro KawanishiNguyen Binh MinhTatsuo Narikiyo

Year: 2022 Journal:   IEEJ Transactions on Power and Energy Vol: 142 (4)Pages: 210-219   Publisher: Institute of Electrical Engineers of Japan

Abstract

This paper proposes a distributed control framework for managing the charging/discharging actions of energy storage systems (ESS), which are used with a huge number for Peer-to-Peer energy trading in wide area distributed grid. The framework consists of a consensus building algorithm and a power limited algorithm for the cooperation of the distributed grid operator and ESSs. In particular, the consensus building algorithm can tolerate the non-uniform, asymmetrical, and time-varying communication delays. The effectiveness of the proposed system was evaluated by numerical tests, which are based on the actual setting of a real peer-to-peer power trading system developed at Toyota Frontier Research Center(1)~(6). The test results show that, even with a maximum delay steps of 12, the demand-supply balance of the distributed grid can be successfully assured in the tolerance range ±α=0.08. Thanks to the distributed structure, the proposed control framework can be conveniently applied to large-scale power networks.

Keywords:
Distributed computing Computer science Grid Distributed generation Peer-to-peer Distributed power Range (aeronautics) Distributed algorithm Control (management) Distributed data store Electric power system Power (physics) Engineering Renewable energy Electrical engineering

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Topics

Smart Grid Energy Management
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Smart Grid Security and Resilience
Physical Sciences →  Engineering →  Control and Systems Engineering

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