A Joint Optimization Algorithm for Renewable Energy System  

作　　者：Imran Khan Firdaus Muhammad-Sukki Jorge Alfredo Ardila Rey Abdullahi Abubakar Mas’ud Saud Jazaa Alshammari DagØivind Madsen 

机构地区：[1]Department of Electrical Engineering,University of Engineering and Technology,Peshawar,814,Pakistan [2]School of Engineering&the Built Environment,Edinburgh Napier University,Merchiston Campus,10 Colinton Road,Edinburgh,EH105DT,Scotland,UK [3]Department of Electrical Engineering,Federico Santa María Technical University,Santiago,8940000,Chile [4]Department of Electrical and Electronics Engineering,Jubail Industrial College,P O Box 10099,Jubail 31961,Saudi Arabia [5]University of South-Eastern Norway,Bredalsveien,14,3511,Hønefoss,Norway

出　　处：《Intelligent Automation & Soft Computing》2023年第5期1979-1989,共11页智能自动化与软计算（英文）

摘　　要：Energy sustainability is a hot topic in both scientific and political cir-cles.To date,two alternative approaches to this issue are being taken.Some 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 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 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 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 sys-tem bidding techniques are compared.

关 键 词：Renewable energy optimizationalgorithm electricity market DECISION-MAKING 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]