{"title":"利用混合优化技术优化风能集成的电力管理,为 SVC 提供支持","authors":"Belkacem Mahdad","doi":"10.1007/s00202-024-02690-4","DOIUrl":null,"url":null,"abstract":"<p>Recent years have seen a strong push to incorporate a wider variety of renewable sources (RS) into modern power systems. The intermittent nature of these renewable sources presents a vital challenge. Experts and researchers must develop adaptable and robust planning strategies to successfully integrate with security higher levels of wind and solar power into the grid. This research presents a stochastic optimal power flow (SOPF) strategy designed to mitigate the intermittent nature of multiple wind power sources by effectively coordinating them with multiple shunt (SVCs) based on FACTS technology. To accurately solve complex problems with multiple conflicting objective functions, a hybrid method combining the Pelican Optimizer (PO) and Coati Optimization Algorithm (COA) is effectively applied to optimize various objective functions, including total cost, power loss, voltage deviation, margin loading stability and contingencies. The main particularity of the proposed hybrid method, namely POCOA, compared to the standard PO and to the COA is related to its high ability to create flexible balance between exploration and exploitation during search process, which makes the POCOA more accurate to locate the near global solution at a competitive time. The proposed POCOA was validated on unimodal and multimodal benchmark functions, as well as the modified IEEE 30-Bus electric test system. Comparative study with other recent techniques confirmed its high competitive aspect in terms of solution quality and convergence behaviors.</p>","PeriodicalId":50546,"journal":{"name":"Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimizing power management for wind energy integration with SVC support using hybrid optimization\",\"authors\":\"Belkacem Mahdad\",\"doi\":\"10.1007/s00202-024-02690-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Recent years have seen a strong push to incorporate a wider variety of renewable sources (RS) into modern power systems. The intermittent nature of these renewable sources presents a vital challenge. Experts and researchers must develop adaptable and robust planning strategies to successfully integrate with security higher levels of wind and solar power into the grid. This research presents a stochastic optimal power flow (SOPF) strategy designed to mitigate the intermittent nature of multiple wind power sources by effectively coordinating them with multiple shunt (SVCs) based on FACTS technology. To accurately solve complex problems with multiple conflicting objective functions, a hybrid method combining the Pelican Optimizer (PO) and Coati Optimization Algorithm (COA) is effectively applied to optimize various objective functions, including total cost, power loss, voltage deviation, margin loading stability and contingencies. The main particularity of the proposed hybrid method, namely POCOA, compared to the standard PO and to the COA is related to its high ability to create flexible balance between exploration and exploitation during search process, which makes the POCOA more accurate to locate the near global solution at a competitive time. The proposed POCOA was validated on unimodal and multimodal benchmark functions, as well as the modified IEEE 30-Bus electric test system. Comparative study with other recent techniques confirmed its high competitive aspect in terms of solution quality and convergence behaviors.</p>\",\"PeriodicalId\":50546,\"journal\":{\"name\":\"Electrical Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electrical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s00202-024-02690-4\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electrical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s00202-024-02690-4","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Optimizing power management for wind energy integration with SVC support using hybrid optimization
Recent years have seen a strong push to incorporate a wider variety of renewable sources (RS) into modern power systems. The intermittent nature of these renewable sources presents a vital challenge. Experts and researchers must develop adaptable and robust planning strategies to successfully integrate with security higher levels of wind and solar power into the grid. This research presents a stochastic optimal power flow (SOPF) strategy designed to mitigate the intermittent nature of multiple wind power sources by effectively coordinating them with multiple shunt (SVCs) based on FACTS technology. To accurately solve complex problems with multiple conflicting objective functions, a hybrid method combining the Pelican Optimizer (PO) and Coati Optimization Algorithm (COA) is effectively applied to optimize various objective functions, including total cost, power loss, voltage deviation, margin loading stability and contingencies. The main particularity of the proposed hybrid method, namely POCOA, compared to the standard PO and to the COA is related to its high ability to create flexible balance between exploration and exploitation during search process, which makes the POCOA more accurate to locate the near global solution at a competitive time. The proposed POCOA was validated on unimodal and multimodal benchmark functions, as well as the modified IEEE 30-Bus electric test system. Comparative study with other recent techniques confirmed its high competitive aspect in terms of solution quality and convergence behaviors.
期刊介绍:
The journal “Electrical Engineering” following the long tradition of Archiv für Elektrotechnik publishes original papers of archival value in electrical engineering with a strong focus on electric power systems, smart grid approaches to power transmission and distribution, power system planning, operation and control, electricity markets, renewable power generation, microgrids, power electronics, electrical machines and drives, electric vehicles, railway electrification systems and electric transportation infrastructures, energy storage in electric power systems and vehicles, high voltage engineering, electromagnetic transients in power networks, lightning protection, electrical safety, electrical insulation systems, apparatus, devices, and components. Manuscripts describing theoretical, computer application and experimental research results are welcomed.
Electrical Engineering - Archiv für Elektrotechnik is published in agreement with Verband der Elektrotechnik Elektronik Informationstechnik eV (VDE).