Planning, operation, and design of market-based virtual power plant considering uncertainty

Journal article

Hassanin, H., Ullah, Z., Arshad, Cugley, J. and Al-Alawi, M. 2022. Planning, operation, and design of market-based virtual power plant considering uncertainty. Energies. 19 (15), p. 7290. https://doi.org/10.3390/en15197290
AuthorsHassanin, H., Ullah, Z., Arshad, Cugley, J. and Al-Alawi, M.
Abstract

The power systems of today seem inseparable from clean energy sources such as wind turbines (WTs) and photovoltaics (PVs). However, due to their uncertain nature, operational challenges are expected when WT and PV energy is added to the electricity network. It is necessary to introduce new technologies to compensate for the intermittent nature of renewable energy sources (RESs). Therefore, rationally implementing a demand response (DR) program with energy storage systems (ESSs) in a virtual power plant (VPP) environment is recommended as a way forward to minimize the volatile nature of RESs and improve power system reliability. Our proposed approach aims to maximize social welfare (SW) (i.e., maximization of consumer benefits while minimizing energy costs). Our method assesses the impact of the DR program on SW maximization. Two scenarios are examined, one with and one without a DR program. Stochastic programming theory is used to address the optimization problem. The uncertain behavior of WTs, PVs, and load demand is modeled using a scenario-based approach. The correctness of the proposed approach is demonstrated on a 16-bus UK generic distribution system. Our results show that SW and active power dispatch capacity of WT, PV, and ESS are fairly increased using the proposed approach. View Full-Text

KeywordsVirtual power plant; Uncertainty modeling;; Renewable energy sources;; Climate change; Electricity market; Stochastic programming; Social welfare
Year2022
JournalEnergies
Journal citation19 (15), p. 7290
PublisherMDPI
Digital Object Identifier (DOI)https://doi.org/10.3390/en15197290
Official URLhttps://www.mdpi.com/1996-1073/15/19/7290
Publication dates
Online04 Oct 2022
Publication process dates
Accepted28 Sep 2022
Deposited31 Oct 2022
Publisher's version
License
File Access Level
Open
Output statusPublished
References

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