基于创新算法的先进控制传输系统拥塞管理新方法

Q2 Engineering

International Journal on Electrical Engineering and Informatics Pub Date : 2022-03-30 DOI:10.15676/ijeei.2022.14.1.3

Baddu Naik Bhukya, Padmanabha Raju Chinda, S. Rayapudi

{"title":"基于创新算法的先进控制传输系统拥塞管理新方法","authors":"Baddu Naik Bhukya, Padmanabha Raju Chinda, S. Rayapudi","doi":"10.15676/ijeei.2022.14.1.3","DOIUrl":null,"url":null,"abstract":": This paper presents an effective method of congestion management in power systems. In a modern power system, it is sometimes problematic to allocate all the necessary power to a supply due to overloading the power lines. Congestions or overloads in transmission networks are alleviated by generation rescheduling and/or load shedding of participating generators and loads. The main objective is the alleviation of congestion, and the minimization of generation costs is optimised to provide optimal solutions. This work proposes an optimal power flow control for the management of congestion in transmission lines by the advanced interline power flow controller (AIPFC) using the Constriction Factor Based Particle Swarm Optimization (CFBPSO) algorithm. For power flow analysis, an advanced model of interline power flow controller (AIPFC) is embedded in the transmission network and it includes the impedance of the series coupling transformer and the line charging susceptance. An innovative algorithm, i.e., CFBPSO, is proposed to take care of OPF issues in the presence of advanced IPFC. The proposed method is implemented on the IEEE-30 bus test system under different loading and contingency conditions. The results are presented and analysed to establish the effectiveness in the reduction of congestion.","PeriodicalId":38705,"journal":{"name":"International Journal on Electrical Engineering and Informatics","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Approach for Congestion Management in Transmission System with Advanced Control Using Innovative Algorithm\",\"authors\":\"Baddu Naik Bhukya, Padmanabha Raju Chinda, S. Rayapudi\",\"doi\":\"10.15676/ijeei.2022.14.1.3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": This paper presents an effective method of congestion management in power systems. In a modern power system, it is sometimes problematic to allocate all the necessary power to a supply due to overloading the power lines. Congestions or overloads in transmission networks are alleviated by generation rescheduling and/or load shedding of participating generators and loads. The main objective is the alleviation of congestion, and the minimization of generation costs is optimised to provide optimal solutions. This work proposes an optimal power flow control for the management of congestion in transmission lines by the advanced interline power flow controller (AIPFC) using the Constriction Factor Based Particle Swarm Optimization (CFBPSO) algorithm. For power flow analysis, an advanced model of interline power flow controller (AIPFC) is embedded in the transmission network and it includes the impedance of the series coupling transformer and the line charging susceptance. An innovative algorithm, i.e., CFBPSO, is proposed to take care of OPF issues in the presence of advanced IPFC. The proposed method is implemented on the IEEE-30 bus test system under different loading and contingency conditions. The results are presented and analysed to establish the effectiveness in the reduction of congestion.\",\"PeriodicalId\":38705,\"journal\":{\"name\":\"International Journal on Electrical Engineering and Informatics\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal on Electrical Engineering and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15676/ijeei.2022.14.1.3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal on Electrical Engineering and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15676/ijeei.2022.14.1.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}

引用次数: 0

摘要

本文提出了一种有效的电力系统拥塞管理方法。在现代电力系统中，由于电力线过载，有时将所有必要的电力分配给一个电源是有问题的。输电网络中的拥塞或过载可以通过发电重新调度和/或参与的发电机和负荷的减载来缓解。主要目标是缓解拥堵，并优化发电成本最小化，以提供最佳解决方案。本文提出了一种基于收缩因子粒子群优化(CFBPSO)算法的先进线间潮流控制器(AIPFC)，用于输电线路拥塞管理的最优潮流控制。为了进行潮流分析，在输电网络中嵌入了一种先进的线间潮流控制器(AIPFC)模型，该模型包含串联耦合变压器的阻抗和线路充电电纳。提出了一种创新的算法，即CFBPSO，以解决先进IPFC存在下的OPF问题。在IEEE-30总线测试系统中，在不同的负载和应急条件下实现了该方法。提出并分析了结果，以确定减少拥堵的有效性。

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

A Novel Approach for Congestion Management in Transmission System with Advanced Control Using Innovative Algorithm

: This paper presents an effective method of congestion management in power systems. In a modern power system, it is sometimes problematic to allocate all the necessary power to a supply due to overloading the power lines. Congestions or overloads in transmission networks are alleviated by generation rescheduling and/or load shedding of participating generators and loads. The main objective is the alleviation of congestion, and the minimization of generation costs is optimised to provide optimal solutions. This work proposes an optimal power flow control for the management of congestion in transmission lines by the advanced interline power flow controller (AIPFC) using the Constriction Factor Based Particle Swarm Optimization (CFBPSO) algorithm. For power flow analysis, an advanced model of interline power flow controller (AIPFC) is embedded in the transmission network and it includes the impedance of the series coupling transformer and the line charging susceptance. An innovative algorithm, i.e., CFBPSO, is proposed to take care of OPF issues in the presence of advanced IPFC. The proposed method is implemented on the IEEE-30 bus test system under different loading and contingency conditions. The results are presented and analysed to establish the effectiveness in the reduction of congestion.

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

International Journal on Electrical Engineering and Informatics Engineering-Engineering (all)

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

20 weeks

期刊介绍： International Journal on Electrical Engineering and Informatics is a peer reviewed journal in the field of electrical engineering and informatics. The journal is published quarterly by The School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia. All papers will be blind reviewed. Accepted papers will be available on line (free access) and printed version. No publication fee. The journal publishes original papers in the field of electrical engineering and informatics which covers, but not limited to, the following scope : Power Engineering Electric Power Generation, Transmission and Distribution, Power Electronics, Power Quality, Power Economic, FACTS, Renewable Energy, Electric Traction, Electromagnetic Compatibility, Electrical Engineering Materials, High Voltage Insulation Technologies, High Voltage Apparatuses, Lightning Detection and Protection, Power System Analysis, SCADA, Electrical Measurements Telecommunication Engineering Antenna and Wave Propagation, Modulation and Signal Processing for Telecommunication, Wireless and Mobile Communications, Information Theory and Coding, Communication Electronics and Microwave, Radar Imaging, Distributed Platform, Communication Network and Systems, Telematics Services, Security Network, and Radio Communication. Computer Engineering Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, Computer Security, VLSI Design-Network Traffic Modeling, Performance Modeling, Dependable Computing, High Performance Computing, Computer Security.