Stochastic Frequency-Security Constrained Scheduling of a Microgrid Considering Price-driven Demand Response

Mostafa Vahedipour-Dahraie, Homa Rashidizadeh-Kermani, Amjad Anvari-Moghaddam, Josep M. Guerrero

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

11 Citations (Scopus)
257 Downloads (Pure)

Abstract

This paper proposes a two-stage stochastic model for optimal frequency-security constrained energy and reserve scheduling in an islanded residential microgrid (MG) with price-responsive loads. Based on this model, scheduling of the controllable units in both supply and demand sides is done in a way not only to maximize the expected profit of MG operator (MGO), but also to minimize the energy payments of customers. To study the effect of uncertain parameters and demand-side participation on system operating conditions, an AC-optimal power flow (AC-OPF) approach is also applied. The proposed stochastic optimization model is then applied to a typical islanded MG and its effectiveness is demonstrated through different scenarios. Simulation results show that participation of customers in price-driven demand response (DR) programs can reduce energy consumption cost of customers while improving the MG frequency response in steady state
Original languageEnglish
Title of host publicationProceedings of the 2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) : SPEEDAM 2018
Number of pages6
PublisherIEEE Press
Publication dateJun 2018
Pages716-721
ISBN (Print)978-1-5386-4942-8
ISBN (Electronic)978-1-5386-4941-1
DOIs
Publication statusPublished - Jun 2018
Event24th International Symposium on Power Electronics, Electrical Drives, Automation and Motion - Amalfi, Italy
Duration: 20 Jun 201822 Jun 2018
http://www.speedam.org/

Conference

Conference24th International Symposium on Power Electronics, Electrical Drives, Automation and Motion
Country/TerritoryItaly
CityAmalfi
Period20/06/201822/06/2018
Internet address

Keywords

  • Demand response
  • Frequency Security
  • Reserve scheduling
  • Renewable energy resources

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