Vijay Pal Singh, Kushal Manoharrao Jagtap, Aijaz Ahmad
{"title":"利用能量求和法分配主动配电系统能量损失的分析方法","authors":"Vijay Pal Singh, Kushal Manoharrao Jagtap, Aijaz Ahmad","doi":"10.1007/s00202-024-02678-0","DOIUrl":null,"url":null,"abstract":"<p>This paper presents a new algorithm designed for the allocation of daily energy losses in radial distribution networks (DNs) featuring distributed generations. The algorithm employs a branch-oriented approach, widely acknowledged as the most effective method for addressing issues in radial DNs. To implement this methodology in a DN environment, a current summation algorithm is utilized. The statistical approach is employed to organize the complete data of daily load and generation curves, providing key quantities necessary for determining energy loss allocation. By leveraging the statistical characteristics, the proposed method calculates the single equivalent values of the collected data from the daily load and generation curves. These values are then used to perform power flow calculations and subsequently allocate the energy losses. To validate the effectiveness of the proposed method, tests are conducted on 33-node and 69-node radial DNs under load levels of 30%, 100%, and 150%. The obtained results were compared with those from the energy summation method of loss allocation and the repetitive geometric scheme of loss allocation method. Under all three load levels, the proposed method demonstrated an unbiased approach, avoiding the addition of economic burden of losses over groups of consumers and generators individually. Moreover, the performance of the proposed method was found to be well-suited and highly acceptable. This underscores the reliability of the proposed approach, achieving results within an acceptable error margin of 10%.</p>","PeriodicalId":50546,"journal":{"name":"Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analytical approach for allocation of energy losses in active distribution system using the method of energy summation\",\"authors\":\"Vijay Pal Singh, Kushal Manoharrao Jagtap, Aijaz Ahmad\",\"doi\":\"10.1007/s00202-024-02678-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper presents a new algorithm designed for the allocation of daily energy losses in radial distribution networks (DNs) featuring distributed generations. The algorithm employs a branch-oriented approach, widely acknowledged as the most effective method for addressing issues in radial DNs. To implement this methodology in a DN environment, a current summation algorithm is utilized. The statistical approach is employed to organize the complete data of daily load and generation curves, providing key quantities necessary for determining energy loss allocation. By leveraging the statistical characteristics, the proposed method calculates the single equivalent values of the collected data from the daily load and generation curves. These values are then used to perform power flow calculations and subsequently allocate the energy losses. To validate the effectiveness of the proposed method, tests are conducted on 33-node and 69-node radial DNs under load levels of 30%, 100%, and 150%. The obtained results were compared with those from the energy summation method of loss allocation and the repetitive geometric scheme of loss allocation method. Under all three load levels, the proposed method demonstrated an unbiased approach, avoiding the addition of economic burden of losses over groups of consumers and generators individually. Moreover, the performance of the proposed method was found to be well-suited and highly acceptable. 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Analytical approach for allocation of energy losses in active distribution system using the method of energy summation
This paper presents a new algorithm designed for the allocation of daily energy losses in radial distribution networks (DNs) featuring distributed generations. The algorithm employs a branch-oriented approach, widely acknowledged as the most effective method for addressing issues in radial DNs. To implement this methodology in a DN environment, a current summation algorithm is utilized. The statistical approach is employed to organize the complete data of daily load and generation curves, providing key quantities necessary for determining energy loss allocation. By leveraging the statistical characteristics, the proposed method calculates the single equivalent values of the collected data from the daily load and generation curves. These values are then used to perform power flow calculations and subsequently allocate the energy losses. To validate the effectiveness of the proposed method, tests are conducted on 33-node and 69-node radial DNs under load levels of 30%, 100%, and 150%. The obtained results were compared with those from the energy summation method of loss allocation and the repetitive geometric scheme of loss allocation method. Under all three load levels, the proposed method demonstrated an unbiased approach, avoiding the addition of economic burden of losses over groups of consumers and generators individually. Moreover, the performance of the proposed method was found to be well-suited and highly acceptable. This underscores the reliability of the proposed approach, achieving results within an acceptable error margin of 10%.
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).