Study of Demand Response Based on Model Predictive Control

DOI

Bibliographic Information

Other Title
  • モデル予測制御に基づくデマンドレスポンスに関する研究
  • Part 1-Verification of Demand Response Using Predicted Real Time Price
  • 第1報−予測型前日市場リアルタイム料金における下げデマンドレスポンスの検証

Abstract

<p>Demand response (DR) is considered an effective method to address the shortage of electricity supply capacity during peak hours due to power outages caused by natural disasters and sudden failures as well as the effects of global warming, etc. Maintaining room thermal comfort is an essential element of DR. However, it is necessary to identify the impact of each comfort index and establish control based on uncertain electricity charge. In this paper, model predictive control (MPC) utilizing prediction by artificial neural networks was used to evaluate the performance of MPC based on DR by changing the control method, constraint conditions, and heat source pump mass flow rate. The results indicate that DR-MPC, which adjusts the heat source pump mass flow rate at each high and low electricity metered rate, can be used to maintain thermal comfort and level electricity load.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390863008736921216
  • DOI
    10.18948/shase.48.314_9
  • ISSN
    24240486
    0385275X
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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