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Esmaeilzadeh, Zahra, Falaghi, Hamid, Ramezani, Maryam. (1404). AC-DC Distribution Network Planning Under Extreme Events. سامانه مدیریت نشریات علمی, (), -. doi: 10.22098/joape.2025.15902.2224
Zahra Esmaeilzadeh; Hamid Falaghi; Maryam Ramezani. "AC-DC Distribution Network Planning Under Extreme Events". سامانه مدیریت نشریات علمی, , , 1404, -. doi: 10.22098/joape.2025.15902.2224
Esmaeilzadeh, Zahra, Falaghi, Hamid, Ramezani, Maryam. (1404). 'AC-DC Distribution Network Planning Under Extreme Events', سامانه مدیریت نشریات علمی, (), pp. -. doi: 10.22098/joape.2025.15902.2224
Esmaeilzadeh, Zahra, Falaghi, Hamid, Ramezani, Maryam. AC-DC Distribution Network Planning Under Extreme Events. سامانه مدیریت نشریات علمی, 1404; (): -. doi: 10.22098/joape.2025.15902.2224

AC-DC Distribution Network Planning Under Extreme Events

Journal of Operation and Automation in Power Engineering
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 06 آذر 1404    اصل مقاله (2.66 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2025.15902.2224
نویسندگان
Zahra Esmaeilzadeh؛ Hamid Falaghi* ؛ Maryam Ramezani
Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, Iran.
چکیده
The increasing integration of photovoltaic (PV) panels and electric vehicles (EVs), both direct current (DC) sources and loads, has introduced significant transformations in modern distribution networks (DNs). Consequently, the DN now accommodates both alternating current (AC) and DC loads and generators. To effectively manage this evolving structure, the implementation of an AC-DC distribution network (ADDN) has emerged as a promising solution. However, due to the random nature of load demands and the variable output of renewable distributed generations (DGs), the network may face challenges such as line loading violations and bus voltage constraint breaches, posing significant operational risks. To address these uncertainties, the K-means algorithm has been employed for uncertainty modeling. Additionally, extreme events characterized by high costs but low probabilities of occurrence have been incorporated into the analysis. This paper investigates the AC-DC distribution network planning (ADDNP) under such conditions, focusing on minimizing the financial impact of extreme events. The average value at risk (AVaR) criterion has been applied to identify and manage these high-impact scenarios. The proposed model is validated on a 13-bus DN, considering varying confidence levels and voltage tolerance values, demonstrating its effectiveness in mitigating operational risks.
کلیدواژه‌ها
AVaR؛ AC/DC loads؛ AC/DC generators؛ constraints؛ uncertainties؛ violation
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