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计及共享储能与光伏的园区多用户综合收益优化

Translated title of the contribution: Comprehensive benefits optimization method for multiple types of users connected to the same industrial park considering shared energy storage and household photovoltaic
  • Jiayi Ma
  • , Haitao Liu
  • , Cong Zhong
  • , Yubo Yuan
  • , Xiaocheng Zhang

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Considering the flexibility of shared energy storage and the different electricity demand of multiple types of users, a bi-level optimization method is proposed to achieve the optimal overall economic benefits of users and improve the photovoltaic consumption capacity for industrial users. Aiming at the lowest monthly power consumption cost of users, the upper layer model is established considering the system energy balance, energy storage charging and discharging constraints and energy storage state of charge constraints, so as to reduce the monthly maximum electricity demand and decrease demand charge. Taking the optimized monthly demand from the upper layer model, the day-ahead model is established, and the charging and discharging power of the shared energy storage, as well as the interactive power between users and the power grid are output to optimize comprehensive benefits of multiple types of industrial users and improve the photovoltaic absorption ability. Strategies for shared energy storage charging and discharging power, as well as user interaction power with the grid, are proposed to optimize the comprehensive benefits for various types of industrial users, ensuring daily economic efficiency under the premise of monthly overall economic optimality. Finally, the effectiveness of the proposed method is verified with the case study.

Translated title of the contributionComprehensive benefits optimization method for multiple types of users connected to the same industrial park considering shared energy storage and household photovoltaic
Original languageChinese (Traditional)
Pages (from-to)60-67
Number of pages8
JournalElectric Power Engineering Technology
Volume43
Issue number1
DOIs
StatePublished - 28 Jan 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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