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A Joint Optimization Algorithm for Renewable Energy System

Khan, Imran; Muhammad-Sukki, Firdaus; Ardila-Rey, Jorge Alfredo; Mas'ud, Abdullahi Abubakar; Alshammari, Saud Jazaa; Madsen, Dag Øivind


Imran Khan

Jorge Alfredo Ardila-Rey

Abdullahi Abubakar Mas'ud

Saud Jazaa Alshammari

Dag Øivind Madsen


Energy sustainability is a hot topic in both scientific and political circles. To date, two alternative approaches to this issue are being taken. Some people believe that increasing power consumption is necessary for countries' economic and social progress, while others are more concerned with maintaining carbon consumption under set limitations. To establish a secure, sustainable, and economical energy system while mitigating the consequences of climate change, most governments are currently pushing renewable growth policies. Energy markets are meant to provide consumers with dependable electricity at the lowest possible cost. A profit-maximization optimal decision model is created in the electric power market with the combined wind, solar units, loads, and energy storage systems , based on the bidding mechanism in the electricity market and operational principles. This model utterly considers the technological limits of new energy units and storages, as well as the involvement of new energy and electric vehicles in market bidding through power generation strategy and the output arrangement of the virtual power plant's coordinated operation. The accuracy and validity of the optimal decision-making model of combined wind, solar units, loads, and energy storage systems are validated using numerical examples. Under multi-operating scenarios, the effects of renewable energy output changes on joint system bidding techniques are compared.

Journal Article Type Article
Acceptance Date Aug 8, 2022
Online Publication Date Jan 5, 2023
Publication Date 2023
Deposit Date Dec 1, 2022
Publicly Available Date Jan 5, 2023
Print ISSN 1079-8587
Publisher Tech Science Press
Peer Reviewed Peer Reviewed
Volume 36
Issue 2
Pages 1979-1989
Keywords Renewable energy; optimization algorithm; electricity market; decision-making
Public URL


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