Emission impacts on virtual power plant scheduling programs

Nazgol Khodadadi, Amin Mansour-Saatloo, Mohammad Amin Mirzaei, Behnam Mohammadi‐Ivatloo, Kazem Zare, Mousa Marzband

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

A wide range of distributed energy sources can be aggregated under a virtual power plant (VPP) and participate in energy markets as a single power plant. With the advent of multi-energy sources such as combined heat and power (CHP) units, the performance and mechanism of traditional VPPs to participate in energy markets and achieve higher profits increase. On the other hand, emission limitations play a significant role in the flexibility of VPPs to participate in the energy markets. To this end, in this chapter, an emission-constrained optimal self-scheduling model is proposed for the participation of a CHP-based VPP in the electricity wholesale market. The proposed CHP-based VPP is equipped with renewable energy resources, CHP units, power- and heat-based energy storage systems and multi-energy demands. Besides, demand response programs (DRPs) are also considered to increase the flexibility of VPP in the energy markets. A scenario-based stochastic approach is adopted to handle the uncertainties of renewable energy resources, multi-energy demands, and energy prices. Numerical results show the effect of DRPs implementation in the presence of multi-energy storage to achieve maximum profit for a VPP taking into account the emission limit.

Original languageEnglish
Title of host publicationScheduling and Operation of Virtual Power Plants
Subtitle of host publicationTechnical Challenges and Electricity Markets
EditorsAli Zangeneh, Moein Moeini-Aghtaie
Place of PublicationAmsterdam
PublisherElsevier
Chapter16
Pages359-376
Number of pages18
ISBN (Electronic)9780323852685
ISBN (Print)9780323852678
DOIs
Publication statusPublished - 25 Jan 2022

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