基于i*目标模型的微电网产消者多智能体联盟形成

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Knowledge-Based and Intelligent Engineering Systems Pub Date : 2023-05-29 DOI:10.3233/kes-230902
Sreenithya Sumesh, A. Krishna
{"title":"基于i*目标模型的微电网产消者多智能体联盟形成","authors":"Sreenithya Sumesh, A. Krishna","doi":"10.3233/kes-230902","DOIUrl":null,"url":null,"abstract":"In this paper, we discuss the role of microgrids as a “prosumer”. Microgrids are used to provide locally generated power (energy), and this concept is becoming increasingly prominent with time. Microgrids have added economic value when assuming the role of “prosumer” or “group of prosumers”. A new outlook in managing prosumers connected to the energy sharing network has led to the creation of prosumer coalition groups, which can subsequently manage numerous goals in microgrid energy systems. For achieving prosumer energy goals, Goal-Oriented Requirements Engineering (GORE) is deployed in this work. Hence, the purpose of this research is to develop prosumer coalition-GORE artefacts, strategising GORE players, modelling non-functional requirements and ensuring sustainable requirements engineering management in the microgrid energy system. In this research, an i* goal model has been used to design a payoff function based on the game theory concept. The key to the pricing function is its fair distribution of payoffs depending on their surplus energy generation, thus providing optimum satisfaction to the buyer. With the objective of maximising the profits earned by prosumers through intra-microgrid energy trading, this paper also designs multi-objective functions to provide optimal value by using the i* goal model. By integrating Java with the IBM CPLEX optimisation tool, a simulation model based on the proposed method was developed and analysed. The results show that the proposed approach yields better outcomes when meeting the requirements of fairness and efficiency, reducing the intermittency effect of generation through renewable resources.","PeriodicalId":44076,"journal":{"name":"International Journal of Knowledge-Based and Intelligent Engineering Systems","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-agent based coalition formation of prosumers in microgrids using the i* goal modelling\",\"authors\":\"Sreenithya Sumesh, A. Krishna\",\"doi\":\"10.3233/kes-230902\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we discuss the role of microgrids as a “prosumer”. Microgrids are used to provide locally generated power (energy), and this concept is becoming increasingly prominent with time. Microgrids have added economic value when assuming the role of “prosumer” or “group of prosumers”. A new outlook in managing prosumers connected to the energy sharing network has led to the creation of prosumer coalition groups, which can subsequently manage numerous goals in microgrid energy systems. For achieving prosumer energy goals, Goal-Oriented Requirements Engineering (GORE) is deployed in this work. Hence, the purpose of this research is to develop prosumer coalition-GORE artefacts, strategising GORE players, modelling non-functional requirements and ensuring sustainable requirements engineering management in the microgrid energy system. In this research, an i* goal model has been used to design a payoff function based on the game theory concept. The key to the pricing function is its fair distribution of payoffs depending on their surplus energy generation, thus providing optimum satisfaction to the buyer. With the objective of maximising the profits earned by prosumers through intra-microgrid energy trading, this paper also designs multi-objective functions to provide optimal value by using the i* goal model. By integrating Java with the IBM CPLEX optimisation tool, a simulation model based on the proposed method was developed and analysed. The results show that the proposed approach yields better outcomes when meeting the requirements of fairness and efficiency, reducing the intermittency effect of generation through renewable resources.\",\"PeriodicalId\":44076,\"journal\":{\"name\":\"International Journal of Knowledge-Based and Intelligent Engineering Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Knowledge-Based and Intelligent Engineering Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/kes-230902\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Knowledge-Based and Intelligent Engineering Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/kes-230902","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

摘要

在本文中,我们讨论了微电网作为“产消者”的作用。微电网用于提供本地发电(能源),随着时间的推移,这一概念变得越来越突出。微电网在承担“产消者”或“产消者群体”的角色时,增加了经济价值。在管理连接到能源共享网络的产消者方面,一种新的前景导致了产消者联盟组织的创建,这些组织随后可以管理微电网能源系统中的许多目标。为了实现产消者的能源目标,在这项工作中部署了面向目标的需求工程(GORE)。因此,本研究的目的是开发产消联盟-GORE人工制品,为GORE参与者制定战略,为非功能需求建模,并确保微电网能源系统中的可持续需求工程管理。在本研究中,基于博弈论的概念,采用i*目标模型来设计收益函数。定价函数的关键在于其根据剩余发电量公平分配收益,从而为买方提供最佳满意度。以产消者通过微网内能源交易获得的利润最大化为目标,本文还设计了多目标函数,利用i*目标模型提供最优值。通过将Java与IBM CPLEX优化工具集成,开发并分析了基于该方法的仿真模型。结果表明,在满足公平和效率要求的情况下,本文提出的方法取得了较好的效果,减少了可再生资源发电的间歇性效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Multi-agent based coalition formation of prosumers in microgrids using the i* goal modelling
In this paper, we discuss the role of microgrids as a “prosumer”. Microgrids are used to provide locally generated power (energy), and this concept is becoming increasingly prominent with time. Microgrids have added economic value when assuming the role of “prosumer” or “group of prosumers”. A new outlook in managing prosumers connected to the energy sharing network has led to the creation of prosumer coalition groups, which can subsequently manage numerous goals in microgrid energy systems. For achieving prosumer energy goals, Goal-Oriented Requirements Engineering (GORE) is deployed in this work. Hence, the purpose of this research is to develop prosumer coalition-GORE artefacts, strategising GORE players, modelling non-functional requirements and ensuring sustainable requirements engineering management in the microgrid energy system. In this research, an i* goal model has been used to design a payoff function based on the game theory concept. The key to the pricing function is its fair distribution of payoffs depending on their surplus energy generation, thus providing optimum satisfaction to the buyer. With the objective of maximising the profits earned by prosumers through intra-microgrid energy trading, this paper also designs multi-objective functions to provide optimal value by using the i* goal model. By integrating Java with the IBM CPLEX optimisation tool, a simulation model based on the proposed method was developed and analysed. The results show that the proposed approach yields better outcomes when meeting the requirements of fairness and efficiency, reducing the intermittency effect of generation through renewable resources.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.10
自引率
0.00%
发文量
22
期刊最新文献
On the optimal multi-objective design of fractional order PID controller with antlion optimization Eternal 1-security number of a fuzzy graph with level J Interval type-2 fuzzy approach for retinopathy detection in fundus images DeepGAN: Utilizing generative adversarial networks for improved deep learning Fast retrieval of multi-modal embeddings for e-commerce applications
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1