A Fully Distributed Approach for Economic Dispatch Problem of Smart Grid

Bo Li, Yudong Wang, Jian Li and Shengxian Cao
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Bo Li: School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China
Yudong Wang: School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China
Jian Li: School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China
Shengxian Cao: School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China

Energies, 2018, vol. 11, issue 8, 1-21

Abstract: The cooperative, reliable and responsive characteristics make smart grid more popular than traditional power grid. However, with the extensive employment of smart grid concepts, the traditional centralized control methods expose a lot of shortcomings, such as communication congestion, computing complexity in central management systems, and so on. The distributed control method with flexible characteristics can meet the timeliness and effectiveness of information management in smart grid and ensure the information collection timely and the power dispatch economically. This article presents a decentralized approach based on multi agent system (MAS) for solving data collection and economic dispatch problem of smart grid. First, considering the generators and loads are distributed on many nodes in the space, a flooding-based consensus algorithm is proposed to achieve generator and load information for each agent. Then, a suitable distributed algorithm called λ -consensus is used for solving the economic dispatch problem, eventually, all generators can automatically minimize the total cost in a collective sense. Simulation results in standard test cases are presented to demonstrate the effectiveness of the proposed control strategy.

Keywords: optimal resource management; consensus algorithm; distributed control; Sensor data collection; economic dispatch problem (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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