An Economic Dispatch Method of Microgrid Based on Fully Distributed ADMM Considering Demand Response

Dan Zhou, Xiaodie Niu, Yuzhe Xie, Peng Li, Jiandi Fang and Fanghong Guo
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Dan Zhou: College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Xiaodie Niu: College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Yuzhe Xie: State Grid Ningbo Power Supply Company, Ningbo 315000, China
Peng Li: State Grid Ningbo Power Supply Company, Ningbo 315000, China
Jiandi Fang: State Grid Ningbo Power Supply Company, Ningbo 315000, China
Fanghong Guo: College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China

Sustainability, 2022, vol. 14, issue 7, 1-17

Abstract: Aiming at the problem that the existing alternating direction method of multipliers (ADMM) cannot realize totally distributed computation, a totally distributed improved ADMM algorithm that combines logarithmic barrier function and virtual agent is proposed. We also investigate economic dispatch for microgrids considering demand response based on day-ahead real-time pricing (RTP), which forms a source-load-storage collaborative optimization scheme. First, three general distributed energy sources (DERs), renewable energy resources (RESs), conventional DERs and energy storage systems (ESSs), are considered in the method. Second, the goal of economic dispatch is to minimize the sum of three energy generation costs and implement the optimal power allocation of dispatchable DERs. Specifically, the approach not only inherits the fast computational speed of ADMM but also uses barrier function and virtual agent to handle inequality and equality, respectively. Moreover, the approach requires no coordination center and only the communication between current agent and adjacent agent to achieve totally distributed solution for every iteration, which can preserve information privacy well. Finally, a 30-node microgrid system is used for case analysis, and the simulation results demonstrate the feasibility and effectiveness of the proposed approach. It can be found that, the proposed approach converges to the optima when p = 0.01, v = 100, t 0 = 0.01 and μ = 2.

Keywords: microgrid; distributed control; ADMM; demand response; logarithmic barrier function; virtual agent (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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