Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/28858

Title: Dust effect impact on PV in an aggregation with wind and thermal powers
Authors: Gomes, Isaías
Melício, Rui
Mendes, Victor
Editors: Sustainable Energy, Elsevier Grids and Networks
Keywords: Variable renewable resources
Thermal units
Unit commitment
Day-ahead market
Stochastic programming
Dust effect
Issue Date: Jun-2020
Abstract: This paper is about the dust effect impact on photovoltaic systems on the profit of an electricity market agent acting as an aggregator of photovoltaic power, wind power, thermal power, and an energy storage system. Energy storage ensures arbitrage and smoothing of the variability of photovoltaic power and wind power. The market agent intends to derive bids for submission in a day-ahead market, having consideration of the dust effect impact on the photovoltaic power. A formulation is proposed for a support decision system by a profit-based unit commitment problem solved by a stochastic programming approach, considering the operating characteristics of the virtual power plant. The photovoltaic power, wind power, and market price uncertainties are input data derived from scenarios of historical data. Case studies addressed, show the advantages of the stochastic programming approach and insights concerned with the integration of uncertainties within the modeling for the schedule of the energy storage system and the dust effect impact on profit.
URI: https://www.sciencedirect.com/science/article/pii/S2352467720302903
http://hdl.handle.net/10174/28858
Type: article
Appears in Collections:ICT - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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