Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids

Bo Li, Panpan Zhang, Xiangjun Li and Shengxian Cao
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Bo Li: School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China
Panpan Zhang: School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China
Xiangjun Li: State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems, Energy Storage and Electrical Engineering Department, China Electric Power Research Institute, Beijing 100192, China
Shengxian Cao: School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China

Energies, 2019, vol. 12, issue 8, 1-21

Abstract: The economic dispatch problem (EDP) is a significant class of optimization issues in the power system, which works on minimizing the total cost when generating a certain amount of power. A novel distributed approach for EDP is proposed in this paper. The presented approach consists of two steps. The first step, named absorption search, is to simplify the network structure through absorption searching. A flooding-based consensus approach is applied in the first step, which can be used to achieve consensus information among nodes. After the first step, only the generation nodes are kept in the network. The data collection can be completed by local computation and communication between neighbors. The first step can be considered as the stage of gathering information. In the second step, a distributed half-search algorithm makes the nodes obtain the final optimal solution in a distributed way. The results on three case studies demonstrate that the proposed approach is highly effective for solving the EDP.

Keywords: economic dispatch problem; distributed consensus; energy management system; half-search algorithm; absorption searching; smart grids (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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