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A Joint Optimization Algorithm for Renewable Energy System

Intelligent Automation & Soft Computing 2023年第5期36卷 1979-1989页

作者： Imran Khan Firdaus Muhammad-Sukki Jorge Alfredo Ardila Rey Abdullahi Abubakar Mas’ud saud jazaa alshammari DagØivind Madsen Department of Electrical Engineering University of Engineering and TechnologyPeshawar814Pakistan School of Engineering&the Built Environment Edinburgh Napier UniversityMerchiston Campus10 Colinton RoadEdinburghEH105DTScotlandUK Department of Electrical Engineering Federico Santa María Technical UniversitySantiago8940000Chile Department of Electrical and Electronics Engineering Jubail Industrial CollegeP O Box 10099Jubail 31961Saudi Arabia University of South-Eastern Norway Bredalsveien143511HønefossNorway

Energy sustainability is a hot topic in both scientiﬁc and political *** date,two alternative approaches to this issue are being *** peo-ple believe that increasing power consumption is necessary for countries’economic and social progress,while others are more concerned with maintaining carbon consumption under set *** establish a secure,sustainable,and economical energy system while mitigating the consequences of climate change,most governments are currently pushing renewable growth *** mar-kets are meant to provide consumers with dependable electricity at the lowest pos-sible cost.A proﬁt-maximization optimal decision model is created in the electric power market with the combined wind,solar units,loads,and energy storage sys-tems,based on the bidding mechanism in the electricity market and operational *** 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 *** accuracy and validity of the optimal decision-making model of combined wind,solar units,loads,and energy storage systems are validated using numerical *** multi-operating scenarios,the effects of renewable energy output changes on joint sys-tem bidding techniques are compared.

关键词： Renewable energy optimizationalgorithm electricity market decision-making

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