چکیده مقاله
Purpose: The increasing frequency and severity of extreme weather events demands a shift from reliability centered to resilience oriented distribution network design Traditional planning approaches, relying on deterministic models and single dimensional metrics, often produce suboptimal configurations under uncertainty This paper presents a novel integrated framework for the robust design of resilient distribution networks A fuzzy scenario stochastic model captures uncertainties in disaster intensity and photovoltaic PV generation, while a Composite Resilience Index CRI evaluates expected energy not supplied EENS , distributed generation DG availability, and system restoration time The design problem is formulated as a tri objective optimization model and solved using an enhanced Harris Hawks Optimization HHO algorithm, co optimizing DG placement, feeder reinforcement, substation upgrades, and switch placement Simulations on IEEE 33 bus and 69 bus systems demonstrate that the proposed method outperforms conventional NSGA II, achieving a 12 7% improvement in resilience and an 8 3% reduction in cost on average, with faster convergence and higher solution stability The framework offers planners a practical tool for optimizing investment and operational resilience in modern distribution networks
کلیدواژهها
نویسندگان
شیوه ارجاع
Kordian Hamedani, Mohammad Mahdi and kafili, Reza and sohrbi bidar, ali,1404,A Fuzzy-Scenario Stochastic Framework for Multi-Objective Resilient Distribution Network Planning,The 3rd National Conference on Environmental Challenges: The role of industry, mining, and society in developing green governance,Tehran
ارائهشده در
مجموعه مقالات سومین کنفرانس و نمایشگاه ملی چالش های محیط زیستی: نقش صنعت، معدن و جامعه در گسترش حکمرانی سبز19 آبان 1404 · تهران