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Coordinated consensus for smart grid economic environmental power dispatch with dynamic communication network

Coordinated consensus for smart grid economic environmental power dispatch with dynamic communication network

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© The Institution of Engineering and Technology
Received 29/07/2017, Accepted 02/03/2018, Revised 22/01/2018, Published 08/03/2018

Combined economic environmental dispatch problem (CEEDP) is one of the greatest challenges of the future smart grids. It aims at reducing the total cost during the power production process considering the growing environmental impact due to the emission of gaseous pollutants of fossil fuels. This study develops a robust distributed algorithm based on consensus protocols in multi-agent systems, to solve the smart grid CEEDP with a practical communication network consisting of a dynamic communication network, randomly communication failure, transmission delay and noise in communication channels. The proposed algorithm is fully distributed and cooperative in such a way that it eliminates the need for a central energy-management unit, or a leader. The performance of the fully decentralised consensus protocol was evaluated on the IEEE 30-bus and the IEEE 118-bus test system. A comparison with previous consensus algorithms proves the supremacy of the proposed approach in terms of its robustness under dynamic communication network with randomly link failure.

Inspec keywords: power system economics; load dispatching; decentralised control; multi-agent systems; protocols; telecommunication channels; environmental factors; telecommunication networks; smart power grids; power engineering computing; distributed algorithms

Other keywords: smart grid; power production process; multiagent system; fossil fuel; IEEE 30 bus test system; cost reduction; gaseous pollutant emission; dynamic communication network; coordinated consensus protocol; randomly communication failure; CEEDP; IEEE 118-bus test system; combined economic environmental dispatch problem; distributed algorithm; central energymanagement unit; transmission delay; communication channel; decentralised consensus protocol

Subjects: Power engineering computing; Protocols; Expert systems and other AI software and techniques; Power system management, operation and economics

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