دکتر رحمت اله هوشمند

استاد

گروه مهندسی برق
دانشکده فنی و مهندسی

پست الکترونیکی

hooshmand_r@eng.ui.ac.ir

تلفن

031-37934073

آدرس

دانشگاه اصفهان میدان آزادی اصفهان، ایران
کد پستی : 8174673441

2009

2025

فعالیت های پژوهشی بر اساس سال

معرفی کلی

درباره من

رحمت الله هوشمند تحصيلات خود را در مقاطع كارشناسي و كارشناسي ارشد مهندسی برق – قدرت بترتيب در سالهاي 1368 و 1370 از دانشگاه فردوسی مشهد و دانشگاه تهران و در مقطع دكتري مهندسی برق - قدرت در سال‌1382 از دانشگاه تربیت مدرس تهران به پايان رسانده است و هم اكنون استاد گروه مهندسی برق دانشكده فنی مهندسي دانشگاه اصفهان مي‎باشد. زمينه‎هاي تحقيقاتي مورد علاقه ايشان عبارتند از: شبکه های هوشمند، منابع انرژی تجدیدپذیر و سیستمهای قدرت تجدید ساختار یافته.

علاقه مندی پژوهشی

زمينه ‎هاي تحقيقاتي مورد علاقه ايشان عبارتند از: شبکه های هوشمند، منابع انرژی تجدیدپذیر و سیستمهای قدرت تجدید ساختار یافته.

عضویت در انجمن ها و گروههای تحقیقاتی

1- عضويت در انجمن بين المللي IEEE در آمريکا، از سال 2010 تا کنون. 2- عضويت در انجمن فازي ايران، از سال 1388 تا کنون 3- uq, انجمن علمي شبکه هوشمند انرژي ايران، از سال 1394 تا کنون

فعالیت‌های حرفه‌ای

- کنترل و بهره‌برداري از سيستم‌هاي قدرت - بازار برق - مديريت انرژي - کاربرد سيستمهاي هوشمند در سيستم‌هاي قدرت و سيستم‌هاي توزيع

سابقه تحصیلی

کارشناسی, مهندسي برق (قدرت) , فردوسی مشهد [مشهد - ایران]
کارشناسی ارشد, مهندسي برق (قدرت) , تهران [تهران - ایران]
دکتر, مهندسی برق, تربیت مدرس [تهران - ایران]

دروس

در سطح کارشناسي: - عايق‌ها و فشار قوي - توليد نيروگاه در سطح کارشناسي‌ارشد و دکتري: - تجديد ساختار سيستمهاي قدرت - بهره‌برداري از سيستم‌هاي قدرت، - قابليت اعتماد در سيستم‌هاي قدرت

برونداد‌های پژوهشی

176

همه موارد

176

مقالات

مقالات لاتین

2025

Power distribution system resilience to extreme dust storms: probabilistic impact assessment and hardening planning

( Article . )

Haghshenas, M., Hoshmand, R., Gholipour, M.

Sustainable and Resilient Infrastructure (23789689)10(1)pp. 40-62

Probabilistic Pricing for Collaborative Demand-Side Management With Coordinated Operation of Energy Storage Systems for Optimal Peak Load Control in Smart Grids

( Article . )

Masoumi-anaraki, M., Hoshmand, R., Kabiri renani, Y.

IET Generation, Transmission and Distribution (17518687)19(1)

Peak load management is a pivotal aspect of power generation and distribution, representing one of the primary challenges for power companies. A key feature of smart grids is their capability to manage available resources effectively to mitigate peak load while accounting for the inherent uncertainties in load demand and the generation of all renewable energy sources. Thereby, this paper proposes a two-stage coordination approach that integrates price-based demand response (PBDR) and energy storage systems, encompassing Battery Energy Storage Systems (BESS) and Compressed Air Energy Storage (CAES). This approach integrates CAES with BESSs to optimise the charging and discharging processes while minimising degradation costs. Specifically, it aims to address the substantial degradation expenses of BESSs by strategically utilising CAES as a complementary storage solution. The objective is to minimise operational costs while controlling peak demand load in smart microgrids. Moreover, to simultaneously address the inherent uncertainties associated with the demanded load and the generating power of renewable energy sources, a method incorporating scenario generation and reduction is introduced to improve scheduling accuracy and enhance the reliability of energy management. To tackle this multifaceted challenge, a novel scenario-based Developed Two-Stage Interval Optimisation (DTSIO) model has been proposed to effectively address uncertainty. By employing the scenario generation method in conjunction with the k-means technique to reduce scenarios with low probabilities of occurrence, the analysis process is optimised for better problem-solving efficiency. The proposed model's efficacy is validated through its implementation on a 33 and 69 bus microgrid, showcasing its ability to enhance profitability, manage peak load, reduce reliance on the upstream grid, and lower carbon dioxide emissions. © 2025 The Author(s). IET Generation, Transmission & Distribution published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.

Reliability-constrained configuration optimization for integrated power and natural gas energy systems: A stochastic approach

( Article . )

Shabanian-poodeh, M., Hoshmand, R., Shafie-khah, M.

Reliability Engineering and System Safety (18790836)254

Resilience Enhancement Strategies for Energy Systems in the Face of Natural Calamities and Cyber Threats: A Comprehensive Review

( Article . )

Shabanian-poodeh, M., Hoshmand, R., Shafie-khah, M., Siano, P.

IEEE Access (21693536)13pp. 67301-67322

Energy systems and their related technologies are susceptible to natural extreme events, categorized as high-impact low-probability (HILP) events, posing a significant threat to their reliable functioning. Gas-to-power (G2P) and power-to-gas (P2G) technologies establish a bidirectional interface between these energy systems, leading to the creation of integrated power and natural gas systems (IPGS) as energy systems. Due to their extensive geographical coverage, energy systems are particularly vulnerable to severe damage from natural calamities. Given the growing interest and research focus on energy systems resilience, this comprehensive review meticulously navigates the intricate terrain of resilience differentiation, offering a detailed roadmap fortified by insights from significant instances of grid failures and weather-driven contingencies. The review examines preemptive cyber security fortifications and strategic planning imperatives, scrutinizing each aspect with conviction and clarity. Temporally stratified into long-term and short-term horizons, it not only delineates prevailing approaches and methodologies but also identifies emerging trends poised to shape the future landscape of resilience enhancement. This paper provides an exhaustive review of existing research on the resilience of energy systems, introducing a visual framework for comparing different studies and facilitating easy understanding through multiple figures. Since uncertainties play a crucial role in decision-making within this field, this paper broadly explores methods for addressing them as presented in previous studies. Furthermore, the literature is meticulously classified to offer a clear and organized overview, highlighting the impact of HILP events, such as natural disasters and cyber-attacks, on energy systems resilience. This review underscores the critical need to fortify energy systems, emphasizing its importance as a crucial component of integrated energy systems in preparing for the continuous impact of natural disasters in future research. © 2013 IEEE.

Voltage Sag Monitor Placement for Fault Location Detection Based on Precise Determination of Areas of Vulnerability

( Article . Gold )

Hajiahmadi, M., Hoshmand, R., Kiyoumarsi, A.

Journal of Modern Power Systems and Clean Energy (21965420)13(1)pp. 228-240