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Closed-Loop Elastic Demand Control under Dynamic Pricing Program in Smart Microgrid Using Super Twisting Sliding Mode

Taimoor Ahmad Khan1, Kalim Ullah1, Ghulam Hafeez1,2

  • 1Department of Electrical Engineering, University of Engineering and Technology, Mardan 23200, Pakistan.

Sensors (Basel, Switzerland)
|August 9, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a closed-loop controller for smart grids to manage fluctuating electricity demand. It balances supply and demand by dynamically adjusting energy prices, ensuring grid stability with renewable energy integration.

Keywords:
demand responsedynamic energy pricingelastic demand controlinternet of thingsmicrogridsensorssmart gridsuper twisting sliding mode controller

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Smart Grid Technology

Background:

  • Rising electricity demand necessitates advanced grid management solutions.
  • Smart cities integrate Internet of Things (IoT) devices and renewable energy for grid balance.
  • Demand-side load management (DSLM) utilizes demand response (DR) programs to align consumption with supply.

Purpose of the Study:

  • To propose a closed-loop super twisting sliding mode controller (STSMC) for persistent demand control in smart grids.
  • To demonstrate a theoretical approach for managing uncertain and fluctuating loads.
  • To ensure a persistent balance between electricity supply and demand in integrated microgrids.

Main Methods:

  • Development of a closed-loop super twisting sliding mode controller (STSMC).
  • Implementation of price-based demand response (DR) programs for load shifting, peak clipping, and valley filling.
  • Modeling of a renewable energy-integrated microgrid scenario with a first-order dynamic price generation model.
  • Simulation environment developed in MATLAB/Simulink for validation.

Main Results:

  • The STSMC effectively handles uncertain and fluctuating loads, maintaining demand-supply balance.
  • Dynamic price regulation through STSMC successfully controls consumer demand in the smart grid community.
  • Simulations validate the closed-loop price-based elastic demand control technique's ability to match microgrid generation.

Conclusions:

  • The proposed STSMC provides a robust solution for persistent demand control in smart grids.
  • Dynamic pricing, regulated by STSMC, is an effective mechanism for DSLM in smart grids.
  • The study confirms the feasibility of integrating renewable energy sources with advanced demand control strategies.