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Alee, A.M., Golshannavaz, S., Ghanizadehbolandi, T., Talavat, V.. (1401). Optimal Allocation of PV-STATCOM to Improve the Operation of Active Distribution Network. سامانه مدیریت نشریات علمی, 11(Special Issue), -. doi: 10.22098/joape.2024.14681.2123
A.M. Alee; S. Golshannavaz; T. Ghanizadehbolandi; V. Talavat. "Optimal Allocation of PV-STATCOM to Improve the Operation of Active Distribution Network". سامانه مدیریت نشریات علمی, 11, Special Issue, 1401, -. doi: 10.22098/joape.2024.14681.2123
Alee, A.M., Golshannavaz, S., Ghanizadehbolandi, T., Talavat, V.. (1401). 'Optimal Allocation of PV-STATCOM to Improve the Operation of Active Distribution Network', سامانه مدیریت نشریات علمی, 11(Special Issue), pp. -. doi: 10.22098/joape.2024.14681.2123
Alee, A.M., Golshannavaz, S., Ghanizadehbolandi, T., Talavat, V.. Optimal Allocation of PV-STATCOM to Improve the Operation of Active Distribution Network. سامانه مدیریت نشریات علمی, 1401; 11(Special Issue): -. doi: 10.22098/joape.2024.14681.2123

Optimal Allocation of PV-STATCOM to Improve the Operation of Active Distribution Network

Journal of Operation and Automation in Power Engineering
دوره 11، Special Issue، خرداد 2023    اصل مقاله (2.74 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2024.14681.2123
نویسندگان
A.M. Alee؛ S. Golshannavaz* ؛ T. Ghanizadehbolandi؛ V. Talavat
Electrical Engineering Department, Urmia University, Urmia, Iran.
چکیده
This paper presents a novel method to improve the efficiency of active distribution networks (ADNs) by optimal placement of distributed energy resources (DERs) and utilizing the unused capacity of inverter-interfaced photovoltaic (PV) units for reactive power compensation. After investigating the mathematical model of PV systems, wind turbines, other non-renewable distributed generations, energy storage systems, and responsive loads, a genetic algorithm (GA)-based approach is used to find the optimal placement and allocation of all units. The modeling also takes into account the uncertainty of PV units and wind turbines to represent real-world operational conditions more accurately. Additionally, although the IEEE 33-bus system is used to formulate the presented method, one can easily extend it to any other network with an arbitrary number of buses. The effectiveness of the proposed method is verified by designing three different scenarios. The simulation results obtained based on MATLAB clearly show the capability of the proposed method to improve the voltage profile and the cost of losses in ADN. This is done by properly utilizing the excess capacity of inverter-interfaced PV units as a static compensator (STATCOM), even in the absence of sunlight. The findings indicate that the inclusion of DERs and PV-STATCOM results to a notable enhancement of approximately 68.46% in power losses reduction and around 65% in the voltage deviation minimization.
کلیدواژه‌ها
Energy management؛ active distribution network؛ PV-STATCOM؛ distributed energy resources؛ genetic algorithm
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