Abstract
AbstractDue to the pressure of environmental pollution and energy crisis, the integrated energy system (IES) with multiple energy hubs (EH) has been widely promoted. This paper proposes a distributed coordinated robust optimal scheduling method for multi-EH-based IES. Firstly, a two-stage robust optimization (TRO) model is developed for multi-EH-based IES with uncertain wind power. To solve the min-max-min model of TRO, the column and constraint generation (C&CG) method is employed, which transforms the TRO model into master problem (MP) and subproblem (SP). Secondly, the alternating direction method of multipliers (ADMM) is used to solve MP to guarantee the information privacy of subsystems. Furthermore, an acceleration strategy is developed to improve the convergence performance of ADMM. The proposed distributed coordinated robust optimization strategy has the advantages of privacy protection and higher economy. Simulation results in a three-EH-based IES are presented to illustrate the effectiveness of proposed method for optimal synergy of multiple EHs with uncertainty.KeywordsColumn and constraint generation methodAlternating direction method of multipliersMulti-EH-based integrated energy system
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