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Coordinated distributed model predictive control for multi energy carrier systems.

Magda I El-Afifi1,2, Abdelfattah A Eladl3, Magdi M El-Saadawi3

  • 1Electrical Eng. Deparment, Faculty of Engineering, Mansoura University, El-Mansoura, Egypt. magda_ibrahim@nilehi.edu.eg.

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Summary
This summary is machine-generated.

This study introduces a distributed control system for dynamic energy hubs (EHs) to manage renewable energy integration. The proposed model predictive control strategy enhances stability and optimizes performance despite fluctuating energy demands and sources.

Keywords:
Combined heat and powerEnergy hubsHeat pumpModel predictive controlMulti-energy systems

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Area of Science:

  • Energy Systems Engineering
  • Control Theory
  • Renewable Energy Integration

Background:

  • Energy hubs (EHs) are crucial for integrating renewable energy sources (RESs).
  • Stochastic RESs and fluctuating energy demands create challenges like voltage instability and complex energy management.
  • Dynamic response times of electrical and heat loads further complicate control systems.

Purpose of the Study:

  • To propose a distributed control system for dynamic energy hubs.
  • To address challenges in managing renewable energy sources and fluctuating demands.
  • To optimize the performance of multi-carrier energy systems.

Main Methods:

  • Development of a distributed control system for dynamic energy hubs.
  • Implementation of a distributed model predictive control (MPC) strategy.
  • Consideration of RESs, loads, and operational constraints within the multi-carrier system.

Main Results:

  • The proposed distributed MPC strategy effectively manages dynamic energy hubs.
  • Simulations demonstrate the system's capability to handle stochastic RESs and fluctuating demands.
  • Optimized system performance and stability were achieved in a benchmark system.

Conclusions:

  • The distributed control system offers a viable solution for integrating renewable energies into dynamic EHs.
  • Model predictive control is effective in optimizing energy hub operations under uncertain conditions.
  • The proposed strategy enhances the reliability and efficiency of energy systems with high RES penetration.