Real-time Distributed Economic Dispatch forDistributed Generation Based on Multi-Agent System

Kui Luo; Qiuwei Wu; Arne Hejde Nielsen; Jacob Østergaard

doi:10.1109/MEPS.2015.7477174

Real-time Distributed Economic Dispatch forDistributed Generation Based on Multi-Agent System

Kui Luo, Qiuwei Wu, Arne Hejde Nielsen, Jacob Østergaard

China Electric Power Research Institute

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

The distributed economic dispatch for distributed generation is formulated as a optimization problem with equality and inequality constraints. An effective distributed approach based on multi-agent system is proposed for solving the economic dispatch problem in this paper. The proposed approach consists of two stages. In the first stage, an adjacency average allocation algorithm is proposed to ensure the generation-demand equality. In the second stage, a local replicator dynamics algorithm is applied to achieve nash equilibrium for the power dispatch game. The approach is implemented in a fully distributed manner with local computation and communication among neighboring agent. The feasibility and effectiveness of this approach is demonstrated by a numerical test system.

Original language	English
Title of host publication	Proceedings of Modern Electric Power Systems 2015
Number of pages	7
Publisher	IEEE
Publication date	2015
ISBN (Print)	978-1-5090-3101-6
DOIs	https://doi.org/10.1109/MEPS.2015.7477174
Publication status	Published - 2015
Event	Modern Electric Power Systems 2015 - Congress Center of WUT , Wroclaw, Poland Duration: 6 Jul 2015 → 9 Jul 2015

Conference

Conference	Modern Electric Power Systems 2015
Location	Congress Center of WUT
Country/Territory	Poland
City	Wroclaw
Period	06/07/2015 → 09/07/2015

Keywords

Multi-Agent System
Replicator dynamic
Distributed economic dispatch
Distributed generation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/MEPS.2015.7477174

MEPS 2015 paper

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title = "Real-time Distributed Economic Dispatch forDistributed Generation Based on Multi-Agent System",

abstract = "The distributed economic dispatch for distributed generation is formulated as a optimization problem with equality and inequality constraints. An effective distributed approach based on multi-agent system is proposed for solving the economic dispatch problem in this paper. The proposed approach consists of two stages. In the first stage, an adjacency average allocation algorithm is proposed to ensure the generation-demand equality. In the second stage, a local replicator dynamics algorithm is applied to achieve nash equilibrium for the power dispatch game. The approach is implemented in a fully distributed manner with local computation and communication among neighboring agent. The feasibility and effectiveness of this approach is demonstrated by a numerical test system. ",

keywords = "Multi-Agent System, Replicator dynamic, Distributed economic dispatch, Distributed generation ",

author = "Kui Luo and Qiuwei Wu and Nielsen, {Arne Hejde} and Jacob {\O}stergaard",

year = "2015",

doi = "10.1109/MEPS.2015.7477174",

language = "English",

isbn = "978-1-5090-3101-6",

booktitle = "Proceedings of Modern Electric Power Systems 2015",

publisher = "IEEE",

address = "United States",

note = "Modern Electric Power Systems 2015, MEPS 2015 ; Conference date: 06-07-2015 Through 09-07-2015",

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T1 - Real-time Distributed Economic Dispatch forDistributed Generation Based on Multi-Agent System

AU - Luo, Kui

AU - Wu, Qiuwei

AU - Nielsen, Arne Hejde

AU - Østergaard, Jacob

PY - 2015

Y1 - 2015

N2 - The distributed economic dispatch for distributed generation is formulated as a optimization problem with equality and inequality constraints. An effective distributed approach based on multi-agent system is proposed for solving the economic dispatch problem in this paper. The proposed approach consists of two stages. In the first stage, an adjacency average allocation algorithm is proposed to ensure the generation-demand equality. In the second stage, a local replicator dynamics algorithm is applied to achieve nash equilibrium for the power dispatch game. The approach is implemented in a fully distributed manner with local computation and communication among neighboring agent. The feasibility and effectiveness of this approach is demonstrated by a numerical test system.

AB - The distributed economic dispatch for distributed generation is formulated as a optimization problem with equality and inequality constraints. An effective distributed approach based on multi-agent system is proposed for solving the economic dispatch problem in this paper. The proposed approach consists of two stages. In the first stage, an adjacency average allocation algorithm is proposed to ensure the generation-demand equality. In the second stage, a local replicator dynamics algorithm is applied to achieve nash equilibrium for the power dispatch game. The approach is implemented in a fully distributed manner with local computation and communication among neighboring agent. The feasibility and effectiveness of this approach is demonstrated by a numerical test system.

KW - Multi-Agent System

KW - Replicator dynamic

KW - Distributed economic dispatch

KW - Distributed generation

U2 - 10.1109/MEPS.2015.7477174

DO - 10.1109/MEPS.2015.7477174

M3 - Article in proceedings

SN - 978-1-5090-3101-6

BT - Proceedings of Modern Electric Power Systems 2015

PB - IEEE

T2 - Modern Electric Power Systems 2015

Y2 - 6 July 2015 through 9 July 2015

ER -

Real-time Distributed Economic Dispatch forDistributed Generation Based on Multi-Agent System

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Conference

Keywords

UN SDGs

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