Integrating Quantum Computing into Optimal Control for Optimality and Stability in Microgrids

Hang Jing, Yan Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we introduce a novel approach to address the computational challenges inherent in optimal control by leveraging quantum computing technology. We propose a hybrid quantum algorithm to theoretically address quadratic programming problems in Model Predictive Control (MPC) with inequality constraints. This approach aims to improve computational efficiency and provide innovative solutions to the challenges in power systems. Specifically, the theoretical method integrates the interior point method with the variational quantum algorithm, utilizing the parameter shift rule to solve quadratic programming problems with inequality constraints in MPC. Meanwhile, we also introduce how quantum computing can be employed to handle quadratic programming problems with various types of constraints, such as equality, inequality, or binary constraints. In addition, we achieve polynomial speedup in parameter design for MPC to ensure system stability by using quantum computing.

Original languageEnglish (US)
Title of host publication2024 IEEE Power and Energy Society General Meeting, PESGM 2024
PublisherIEEE Computer Society
ISBN (Electronic)9798350381832
DOIs
StatePublished - 2024
Event2024 IEEE Power and Energy Society General Meeting, PESGM 2024 - Seattle, United States
Duration: Jul 21 2024Jul 25 2024

Publication series

NameIEEE Power and Energy Society General Meeting
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2024 IEEE Power and Energy Society General Meeting, PESGM 2024
Country/TerritoryUnited States
CitySeattle
Period7/21/247/25/24

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Integrating Quantum Computing into Optimal Control for Optimality and Stability in Microgrids'. Together they form a unique fingerprint.

Cite this