CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

گواهی نمایه سازی مقاله Modern distribution system planning and simulation for a sample grid

عنوان مقاله: Modern distribution system planning and simulation for a sample grid
شناسه (COI) مقاله: ECOSE01_241
منتشر شده در کنفرانس ملی بهینه سازی مصرف انرژی در علوم و مهندسی در سال ۱۳۹۳
مشخصات نویسندگان مقاله:

Abolfazl Salami - Iran University of Science and Technology, Arak, Iran
Amir Hosein Tayebi - Arak University of Technology, Arak, Iran

خلاصه مقاله:
The Network Planners face significant challenges in planning and development of electricity networks. These challenges are driven by different factors. The most influential factors arechange of economic environment and regulation models, climate and weather patterns, implementation of new technologies, multiple customer choice and transition of distribution networks from passive to active and more sustainable models. In the last few years we have seen dramatic changes in the network nature, its topology and load management options. Parallel with intensive load growth, different energy supplymodels are evolving forcing distribution planners to accommodate new techniques and planning methodologies to simulate and efficiently plan future networks.The modern Distribution Network Planning implements combination of traditional network planning options and so called non-network solutions. Advance load forecasting techniquesand simulation of network dynamics based on different topologies, variable system regimesand load categories with detail network and project risk assessments are its core components. It also includes study of network demand management, smart grids, distributed energy resources (DER), embedded generation, energy storage equipment and grid support systems.In this paper, the planning of a modern distribution network will be investigated and for Introduction a simulations are performed on a sample network.

کلمات کلیدی:
Modern distribution network-load and energy forecasting- distributed generationvoltage profile-network operator

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