Demand response strategy of a virtual power plant for internal electricity market

Zahid Ullah, Muhammad Baseer*, Arshad

*Corresponding author for this work

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

Abstract

Operational challenges are expected when a large amount of wind and solar energy is added to the electricity networks. It is necessary to introduce new technologies to allow more energy portfolio integration into power systems in order to compensate for the intermittent nature of renewable energy sources (RESs) such as wind and solar power due to their fluctuating nature. A potential solution to the problem of renewable energy integration in power market transactions is the virtual power plant (VPP). A VPP is a novel and smart approach of integrating distributed energy resources (DERs) such as demand response (DR) and energy storage systems (ESS). A VPP could exploit DERs and demand-side participation to mitigate peak loads and thus sustain grid stability. This paper presents a DR strategy of a VPP for simulating energy transactions within the VPP internal electricity market. The method assesses the impact of the DR program on renewable energies integration aiming to minimize VPP operating costs over the short-term planning horizon. Stochastic programming theory is used to address the optimization problem while protecting the interests of the end users. Preliminary findings show that peak load has been reduced while the overall cost of operating has decreased.
Original languageEnglish
Title of host publication2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE)
PublisherIEEE
Pages100-104
Number of pages5
ISBN (Electronic)9781665499309
ISBN (Print)9781665499316
DOIs
Publication statusPublished - 19 Sep 2022

Publication series

Name
ISSN (Print)2575-2677
ISSN (Electronic)2575-2693

Keywords

  • distributed generator
  • scenario-based uncertainty modeling demand response
  • distributed energy sources
  • virtual power plant

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