负荷管理策略下可再生能源在微电网中的最优参与

IF 1.4 Q4 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY

Environmental and Climate Technologies Pub Date : 2023-01-01 DOI:10.2478/rtuect-2023-0005

O. Candra, A. Chammam, U. Rahardja, A. Ramírez-Coronel, Abdullah Abdul Al-Jaleel, Ibrahim H. Al-Kharsan, I. Muda, Ghasem B Derakhshani, Mohamad Mehdi Rezai

{"title":"负荷管理策略下可再生能源在微电网中的最优参与","authors":"O. Candra, A. Chammam, U. Rahardja, A. Ramírez-Coronel, Abdullah Abdul Al-Jaleel, Ibrahim H. Al-Kharsan, I. Muda, Ghasem B Derakhshani, Mohamad Mehdi Rezai","doi":"10.2478/rtuect-2023-0005","DOIUrl":null,"url":null,"abstract":"Abstract In this paper, bi-level optimization model is proposed for optimal energy trading between microgrids (MGs) and distribution companies (Discos) with consideration of the renewable energies. The first level modelling is maximizing MGs’ profit and the second level is related to maximization of the Discos profit. In proposed system, power trading between MGs and Discos is considered. As well, renewable energies and demand management strategy are modelled in system for optimal energy consumption. The optimization modelling is solved by Particle Swarm Optimization (PSO), and results of the two case studies show optimal solution of prosed strategy in energy optimization.","PeriodicalId":46053,"journal":{"name":"Environmental and Climate Technologies","volume":"11 1","pages":"56 - 66"},"PeriodicalIF":1.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimal Participation of the Renewable Energy in Microgrids with Load Management Strategy\",\"authors\":\"O. Candra, A. Chammam, U. Rahardja, A. Ramírez-Coronel, Abdullah Abdul Al-Jaleel, Ibrahim H. Al-Kharsan, I. Muda, Ghasem B Derakhshani, Mohamad Mehdi Rezai\",\"doi\":\"10.2478/rtuect-2023-0005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract In this paper, bi-level optimization model is proposed for optimal energy trading between microgrids (MGs) and distribution companies (Discos) with consideration of the renewable energies. The first level modelling is maximizing MGs’ profit and the second level is related to maximization of the Discos profit. In proposed system, power trading between MGs and Discos is considered. As well, renewable energies and demand management strategy are modelled in system for optimal energy consumption. The optimization modelling is solved by Particle Swarm Optimization (PSO), and results of the two case studies show optimal solution of prosed strategy in energy optimization.\",\"PeriodicalId\":46053,\"journal\":{\"name\":\"Environmental and Climate Technologies\",\"volume\":\"11 1\",\"pages\":\"56 - 66\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental and Climate Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/rtuect-2023-0005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental and Climate Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/rtuect-2023-0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY","Score":null,"Total":0}

引用次数: 2

摘要

摘要本文提出了考虑可再生能源的微电网和配电公司之间最优能源交易的双层优化模型。第一级模型是mg的利润最大化，第二级模型是与disco的利润最大化有关。在该系统中，考虑了电网与电网之间的电力交易。同时，对可再生能源和需求管理策略进行了系统建模，以实现最优能源消耗。采用粒子群算法对优化模型进行求解，两个实例的结果表明了所提策略在能源优化中的最优解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Optimal Participation of the Renewable Energy in Microgrids with Load Management Strategy

Abstract In this paper, bi-level optimization model is proposed for optimal energy trading between microgrids (MGs) and distribution companies (Discos) with consideration of the renewable energies. The first level modelling is maximizing MGs’ profit and the second level is related to maximization of the Discos profit. In proposed system, power trading between MGs and Discos is considered. As well, renewable energies and demand management strategy are modelled in system for optimal energy consumption. The optimization modelling is solved by Particle Swarm Optimization (PSO), and results of the two case studies show optimal solution of prosed strategy in energy optimization.

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

Environmental and Climate Technologies GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-

CiteScore

3.10

自引率

28.60%

发文量

审稿时长

16 weeks

期刊介绍： Environmental and Climate Technologies provides a forum for information on innovation, research and development in the areas of environmental science, energy resources and processes, innovative technologies and energy efficiency. Authors are encouraged to submit manuscripts which cover the range from bioeconomy, sustainable technology development, life cycle analysis, eco-design, climate change mitigation, innovative solutions for pollution reduction to resilience, the energy efficiency of buildings, secure and sustainable energy supplies. The Journal ensures international publicity for original research and innovative work. A variety of themes are covered through a multi-disciplinary approach, one which integrates all aspects of environmental science: -Sustainability of technology development- Bioeconomy- Cleaner production, end of pipe production- Zero emission technologies- Eco-design- Life cycle analysis- Eco-efficiency- Environmental impact assessment- Environmental management systems- Resilience- Energy and carbon markets- Greenhouse gas emission reduction and climate technologies- Methodologies for the evaluation of sustainability- Renewable energy resources- Solar, wind, geothermal, hydro energy, biomass sources: algae, wood, straw, biogas, energetic plants and organic waste- Waste management- Quality of outdoor and indoor environment- Environmental monitoring and evaluation- Heat and power generation, including district heating and/or cooling- Energy efficiency.