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Two-Stage Optimal Allocation Model of User-Side Energy Storage Based on Generalized Benders Decomposition

  • Yuanxing XiaEmail author
  • Minglei Qin
  • Enlin Cheng
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 585)

Abstract

To cater for the commercial application of energy storage on the user side, a two-stage optimal configuration model of energy storage on the user side based on generalized Benders Decomposition algorithm is proposed. Firstly, according to the collected historical load data, the user can judge whether it is suitable to install the energy storage device. Then, aiming at maximizing the benefit of energy storage, a two-stage optimal energy storage allocation model with monthly scale and daily scale is established for users who are suitable for installing energy storage devices. Considering that the model is a nonlinear mixed integer optimization, the generalized Benders Decomposition algorithm is used to optimize the model. Finally, the load data of three typical large industrial users are collected, and the Benders Decomposition algorithm is compiled with MATLAB2017a to optimize the simulation, which verifies the economic effectiveness of the proposed model.

Keywords

User-side energy storage Two-stage optimization Generalized benders decomposition Life cycle Demand management 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.College of Energy and Electrical EngineeringHohai UniversityNanjingChina

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