采用蛾焰优化技术的晶闸管可控串联补偿电力系统的最优功率流与定位边际电价

{"title":"采用蛾焰优化技术的晶闸管可控串联补偿电力系统的最优功率流与定位边际电价","authors":"","doi":"10.59018/1223324","DOIUrl":null,"url":null,"abstract":"Consideration of transmission line capacity and the optimal power flow (OPF) determines the locational marginal\nprice (LMP), which in turn determines the performance and profitability of a producing unit. Reducing the total cost of the\ngenerators can lead to a drop in the market price of electricity. It is recommended to use numerical and repetition-based\napproaches for solving power flow equations due to their nonlinear nature. In order to achieve the ideal power flow at an\naffordable price, this paper employs a Moth Flame Optimization (MFO) to solve the equations. We then enhance the\nMFO's structure to make it more effective at performing the simultaneous calculations of power passing through\ntransmission lines. One FACTS tool that has been utilized to overcome this problem is the Thyristor Controlled Series\nCompensation (TCSC). Lastly, the proposed MFO algorithm would include the following parameters in its output: bus\nvoltages, line losses, produced power, total generating expenditures, and generator profits. Testing the proposed method on\nthe IEEE 57-BUS network also shows that it improves upon the OPF problem.","PeriodicalId":38652,"journal":{"name":"ARPN Journal of Engineering and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal power flow of power system with Thyristor Controlled Series Compensation using moth flame optimization with locational marginal price\",\"authors\":\"\",\"doi\":\"10.59018/1223324\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Consideration of transmission line capacity and the optimal power flow (OPF) determines the locational marginal\\nprice (LMP), which in turn determines the performance and profitability of a producing unit. Reducing the total cost of the\\ngenerators can lead to a drop in the market price of electricity. It is recommended to use numerical and repetition-based\\napproaches for solving power flow equations due to their nonlinear nature. In order to achieve the ideal power flow at an\\naffordable price, this paper employs a Moth Flame Optimization (MFO) to solve the equations. We then enhance the\\nMFO's structure to make it more effective at performing the simultaneous calculations of power passing through\\ntransmission lines. One FACTS tool that has been utilized to overcome this problem is the Thyristor Controlled Series\\nCompensation (TCSC). Lastly, the proposed MFO algorithm would include the following parameters in its output: bus\\nvoltages, line losses, produced power, total generating expenditures, and generator profits. Testing the proposed method on\\nthe IEEE 57-BUS network also shows that it improves upon the OPF problem.\",\"PeriodicalId\":38652,\"journal\":{\"name\":\"ARPN Journal of Engineering and Applied Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ARPN Journal of Engineering and Applied Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.59018/1223324\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ARPN Journal of Engineering and Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59018/1223324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

摘要

输电线路容量和最佳功率流 (OPF) 决定了当地边际价格 (LMP),而 LMP 又决定了生产机组的性能和盈利能力。降低发电机组的总成本可导致市场电价下降。由于电力流方程的非线性性质,建议使用数值和基于重复的方法来求解电力流方程。为了以可承受的价格实现理想的电力流,本文采用蛾焰优化法(MFO)来求解方程。然后,我们对 MFO 的结构进行了改进,使其在同时计算通过输电线路的电力时更加有效。晶闸管控制串联补偿(TCSC)是一种用于克服这一问题的 FACTS 工具。最后,拟议的 MFO 算法将在其输出中包含以下参数:母线电压、线路损耗、生产功率、总发电支出和发电机利润。在 IEEE 57-BUS 网络上测试所提出的方法也表明,该方法改善了 OPF 问题。
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
Optimal power flow of power system with Thyristor Controlled Series Compensation using moth flame optimization with locational marginal price
Consideration of transmission line capacity and the optimal power flow (OPF) determines the locational marginal price (LMP), which in turn determines the performance and profitability of a producing unit. Reducing the total cost of the generators can lead to a drop in the market price of electricity. It is recommended to use numerical and repetition-based approaches for solving power flow equations due to their nonlinear nature. In order to achieve the ideal power flow at an affordable price, this paper employs a Moth Flame Optimization (MFO) to solve the equations. We then enhance the MFO's structure to make it more effective at performing the simultaneous calculations of power passing through transmission lines. One FACTS tool that has been utilized to overcome this problem is the Thyristor Controlled Series Compensation (TCSC). Lastly, the proposed MFO algorithm would include the following parameters in its output: bus voltages, line losses, produced power, total generating expenditures, and generator profits. Testing the proposed method on the IEEE 57-BUS network also shows that it improves upon the OPF problem.
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
ARPN Journal of Engineering and Applied Sciences
ARPN Journal of Engineering and Applied Sciences Engineering-Engineering (all)
CiteScore
0.70
自引率
0.00%
发文量
7
期刊介绍: ARPN Journal of Engineering and Applied Sciences (ISSN 1819-6608) is an online peer-reviewed International research journal aiming at promoting and publishing original high quality research in all disciplines of engineering sciences and technology. All research articles submitted to ARPN-JEAS should be original in nature, never previously published in any journal or presented in a conference or undergoing such process across the globe. All the submissions will be peer-reviewed by the panel of experts associated with particular field. Submitted papers should meet the internationally accepted criteria and manuscripts should follow the style of the journal for the purpose of both reviewing and editing. Our mission is -In cooperation with our business partners, lower the world-wide cost of research publishing operations. -Provide an infrastructure that enriches the capacity for research facilitation and communication, among researchers, college and university teachers, students and other related stakeholders. -Reshape the means for dissemination and management of information and knowledge in ways that enhance opportunities for research and learning and improve access to scholarly resources. -Expand access to research publishing to the public. -Ensure high-quality, effective and efficient production and support good research and development activities that meet or exceed the expectations of research community. Scope of Journal of Engineering and Applied Sciences: -Engineering Mechanics -Construction Materials -Surveying -Fluid Mechanics & Hydraulics -Modeling & Simulations -Thermodynamics -Manufacturing Technologies -Refrigeration & Air-conditioning -Metallurgy -Automatic Control Systems -Electronic Communication Systems -Agricultural Machinery & Equipment -Mining & Minerals -Mechatronics -Applied Sciences -Public Health Engineering -Chemical Engineering -Hydrology -Tube Wells & Pumps -Structures
期刊最新文献
Prediction of grain size distribution using ordinary kriging and compositional kriging methods Synthesis of chitosan-graphene oxide (GO) composite using the sol-gel method and its application in the adsorption of methylene blue dye Simulation and analysis of a PV system using a PI controller for a boost converter and ameliored P and O MPPT algorithm Analysis Re-Entrant honeycomb auxetic structure for lumbar vertebrae using finite element analysis Arduino-Based automatic cutting tool for coconut shell charcoal briquettes
×
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