برنامه ریزی برای بهبود سیستم توزیع برق
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برنامه ریزی برای بهبود سیستم توزیع برق

عنوان فارسی مقاله: برنامه ریزی برای تقویت سیستم توزیع برق تحت شرایط هوای طوفانی بر اساس یک شاخص جدید برگشت پذیری
عنوان انگلیسی مقاله: Power Distribution System Improvement Planning under Hurricanes Based on a New Resilience Index
مجله/کنفرانس: شهرهای پایدار و جامعه – Sustainable Cities and Society
رشته های تحصیلی مرتبط: مهندسی برق
گرایش های تحصیلی مرتبط: برق صنعتی، برق قدرت
کلمات کلیدی فارسی: برنامه ریزی سیستم توزیع، بلایای طبیعی، ترمیم سیستم قدرت، انعطاف پذیری، شبکه آب
کلمات کلیدی انگلیسی: Distribution system planning، Natural disasters، Power system restoration، Resilience، Water network
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus – JCR
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.scs.2018.03.022
دانشگاه: Department of Electrical Engineering – Ferdowsi University of Mashhad – Mashhad – Iran
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2018
ایمپکت فاکتور: ۳٫۰۷۳ در سال ۲۰۱۷
شاخص H_index: ۲۵ در سال ۲۰۱۸
شاخص SJR: ۱٫۰۴۷ در سال ۲۰۱۸
شناسه ISSN: 2210-6707
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 29
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
کد محصول: E10562
فهرست انگلیسی مطالب

Abstract


1- Introduction


2- Problem formulation


3- Solution methodology


4- Results


5- Conclusion


References

نمونه متن انگلیسی مقاله

Abstract


Natural disasters such as hurricanes damage power distribution systems by low probability- high impact events. Other infrastructures such as water networks will be disrupted due to their dependency on the power network. In this situation, a city or region experiences critical conditions. In this paper, a new resilience index based on social welfare concept is presented to decrease unserved loads, restore the distribution system rapidly and decrease the dependency of water network operation to power network failures. The new resilience index is optimized with effective strategies including: upgrading distribution poles, DG placement with different capacities and distribution system automation. The problem is formulated as a stochastic two-stage optimization. The first-stage decisions are the number of each resilience improvement strategy limited to a predetermined budget. Genetic algorithm is applied to solve the first stage. The objective of the second stage is maximizing the social welfare which is solved by an innovative approach. Numerical simulations are performed on the IEEE 33-bus radial distribution system and designed water network related to it. The results demonstrate the effectiveness of the proposed method.


Introduction


Human life strongly depends on electricity. This dependency will increase during and after natural disasters. Therefore, a few minutes outage in a power systems can cause the worse events. Over the past 20 years, the number of occurrence of natural disasters’ has increased. Natural disasters impose heavy costs in different parts of the society. Between 2008 and 2012 in the US, the annual damage cost of power outages due to bad weather conditions was between $25 billion to $70 billion. The lost economic cost of the US only from Hurricane Sandy was $14- $26 billion. The 2011 flood damage costs in Thailand were $285 million in the power sector and $180 million to recover and reconstruct the network [1]. Other infrastructures such as water and telecommunication depend on electricity and power network outages can disrupt their operation. Several natural disasters that have occurred prove this. The loss of water supply in New York City was due to Hurricane Sandy in 2012 [2]. Many telecommunication site outages in Maule and Tohoku were due to earthquakes in 2010 and 2012, respectively [3]. There is not a universal definition for resilience. One of the comprehensive definitions is according to the National Academy of Science. Resilience is “the ability to prepare and plan for, absorb, recover from, and more successfully adapt to adverse events” [4]. A system is absorptive if with minimal effort, it can automatically absorb the effects of bad events and minimize the consequences. Recoverability is property of a system that refers to reaction and recovering of the system in minimum time. The adaptive capacity is the ability of the system to organize its components in a targeted manner and without the aid of external factors [5].

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