{"title":"基于sso的分数阶控制器在多区域电力系统生态agc中的频率和联络线功率感知","authors":"P. Sahu, R. Prusty","doi":"10.1504/ijpec.2020.10026993","DOIUrl":null,"url":null,"abstract":"The article focuses on how a conventional automatic generation control (AGC) will be economically efficient. AGC aims to keep system frequency and net scheduled interchanges between different control areas (tie-line power) within predetermined values. To generate power economically it is required to combine conventional AGC with economic load dispatch (ELD) which combined known as economic AGC (eco-AGC). In eco-AGC concern the deviation in frequency is brought back to zero but scheduled interchanges never comes to zero rather settled to a new value as power always flows from lower incremental fuel cost generating station to higher incremental cost generating station in response to load demand. To perform eco-AGC, this research article proposes a novel salp swarm optimization (SSO)-based fractional order fuzzy controller for reducing errors and to maintain system stable with economic efficient. To justify robustness of proposed controller different sensitive analysis has been done with wide variation of system parameters.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Frequency and tie-line power awareness in eco-AGC of multi-area power system with SSO-based fractional order controller\",\"authors\":\"P. Sahu, R. Prusty\",\"doi\":\"10.1504/ijpec.2020.10026993\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article focuses on how a conventional automatic generation control (AGC) will be economically efficient. AGC aims to keep system frequency and net scheduled interchanges between different control areas (tie-line power) within predetermined values. To generate power economically it is required to combine conventional AGC with economic load dispatch (ELD) which combined known as economic AGC (eco-AGC). In eco-AGC concern the deviation in frequency is brought back to zero but scheduled interchanges never comes to zero rather settled to a new value as power always flows from lower incremental fuel cost generating station to higher incremental cost generating station in response to load demand. To perform eco-AGC, this research article proposes a novel salp swarm optimization (SSO)-based fractional order fuzzy controller for reducing errors and to maintain system stable with economic efficient. To justify robustness of proposed controller different sensitive analysis has been done with wide variation of system parameters.\",\"PeriodicalId\":38524,\"journal\":{\"name\":\"International Journal of Power and Energy Conversion\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Power and Energy Conversion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijpec.2020.10026993\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Energy\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Power and Energy Conversion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijpec.2020.10026993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Energy","Score":null,"Total":0}
Frequency and tie-line power awareness in eco-AGC of multi-area power system with SSO-based fractional order controller
The article focuses on how a conventional automatic generation control (AGC) will be economically efficient. AGC aims to keep system frequency and net scheduled interchanges between different control areas (tie-line power) within predetermined values. To generate power economically it is required to combine conventional AGC with economic load dispatch (ELD) which combined known as economic AGC (eco-AGC). In eco-AGC concern the deviation in frequency is brought back to zero but scheduled interchanges never comes to zero rather settled to a new value as power always flows from lower incremental fuel cost generating station to higher incremental cost generating station in response to load demand. To perform eco-AGC, this research article proposes a novel salp swarm optimization (SSO)-based fractional order fuzzy controller for reducing errors and to maintain system stable with economic efficient. To justify robustness of proposed controller different sensitive analysis has been done with wide variation of system parameters.
期刊介绍:
IJPEC highlights the latest trends in research in the field of power generation, transmission and distribution. Currently there exist significant challenges in the power sector, particularly in deregulated/restructured power markets. A key challenge to the operation, control and protection of the power system is the proliferation of power electronic devices within power systems. The main thrust of IJPEC is to disseminate the latest research trends in the power sector as well as in energy conversion technologies. Topics covered include: -Power system modelling and analysis -Computing and economics -FACTS and HVDC -Challenges in restructured energy systems -Power system control, operation, communications, SCADA -Power system relaying/protection -Energy management systems/distribution automation -Applications of power electronics to power systems -Power quality -Distributed generation and renewable energy sources -Electrical machines and drives -Utilisation of electrical energy -Modelling and control of machines -Fault diagnosis in machines and drives -Special machines