به‌کارگیری مدل فرایند‌‌ تحلیل شبکه و منطق فازی به‌منظور تعیین محدودۀ بهینۀ احداث پست 20/63 کیلوولت در بستر GIS

نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناسی ارشد GIS، شرکت توزیع نیروی برق استان قم، قم، ایران

2 دکتری مهندسی ایمنی راه و ترابری (سیستم اطلاعات مکانی)، استادیار گروه عمران مؤسسة آموزش عالی رحمان رامسر، رامسر، ایران

3 کارشناسی ارشد برق قدرت، شرکت توزیع نیروی برق استان قم، قم، ایران

چکیده

سابقه و هدف: نقطۀ تزریق انرژی از شبکة انتقال به شبکۀ توزیع، پست‌‌های 20/63 کیلوولت هستند. تعیین محل احداث پست، از نظر فنی و اقتصادی برای شرکت‌‌های برق منطقه‌‌ای و شرکت‌‌‌‌های توزیع برق اهمیت ویژه‌‌ای دارد. هدف این پژوهش، تعیین محدودة بهینۀ احداث پست ‌‌20/63 کیلوولت است و تفاوت روش تحقیق این پژوهش با دیگر مطالعات مشابه، استفاده از معیارهای مرتبط با شرکت توزیع برق و لحاظ کردن تأثیر و ارتباطات درونی معیارها با یکدیگر است.
مواد و روش‌‌ها: در این پژوهش از روش فرایند‌‌ تحلیل شبکه‌‌ای و توابع فازی در بستر GIS استفاده شده است. با بررسی منابع و نظر‌‌سنجی از کارشناسان خبره، تعداد 13 معیار به‌عنوان عوامل اصلی و تأثیرگذار در تعیین محل احداث پست تعیین و سپس با استفاده از نرم‌افزار ArcGIS، نقشه‌‌های  معیارها تهیه شد. به‌منظور همگن کردن لایه‌‌های اطلاعاتی، داده‌‌ها با استفاده از توابع عضویت فازی بین 0 و 1 قرار گرفتند. وزن نهایی معیارها با استفاده از روش ANP تعیین و در نقشة فازی خود اعمال شدند. برای تحلیل نهایی موضوع پژوهش، از عملگر گاما با مقادیر گامای 7/0، 8/0 و 9/0 استفاده شد. به‌منظور انتخاب بهینه گامای فازی، داده‌‌ها در نرم‌‌افزار SPSS و با استفاده از آزمون ضریب همبستگی گاما، تجزیه‌وتحلیل شدند که در نتیجه، مقدار ضریب همبستگی و انحراف از معیار محاسبه شد.
نتایج و بحث: نتایج حاصل از محاسبة انحراف معیار نشان داد که دقت گامای 7/0 از دو گامای دیگر بالاتر است. در نقشة نهایی به‌دست‌آمده، محدودة شهر کهک، محدوده بهینه برای احداث پست 20/63 کیلوولت در سطح استان قم است.

کلیدواژه‌ها

عنوان مقاله [English]

Optimal Location Determination for 63.20 kV Substation Construction Using Network Analysis Process and Fuzzy Logic in GIS

نویسندگان [English]

  • Abolfazl Habibitabar 1
  • sahar Alian 2
  • Davoud Soleimanian 3
1 Master of GIS, Electricity Distribution Company of Qom province, Qom, Iran
2 Assistant professor in the civil engineering department of Rahman Ramsar Institute of Higher Education, Ramsar, Iran
3 MSc in Power Engineering, Qom Province Electricity Distribution Company, Qom, Iran
چکیده [English]

Introduction: The 63.20 kV substations serve as the energy injection points from the transmission network to the distribution network. Determining the substation's location is important from both technical and economic perspectives for regional electricity companies and electricity distribution companies. This research aims to identify the optimal location for constructing a 63.20 kV substation, distinguishing its methodology from similar studies by considering criteria specific to electricity distribution companies and the internal interactions and influences of these criteria.
Materials and Methods: This study employs the network analysis process (ANP) and fuzzy logic within Geographic Information System (GIS). Based on expert evaluations, 13 criteria were identified as primary factors for substation location. ArcGIS software was utilized to create criteria layers. To standardize the criteria layers, data were normalized between 0 and 1 using fuzzy membership functions. The ANP method was then used to determine the final weightings of the criteria, which were applied to their corresponding fuzzy maps. For the final analysis, the gamma operator with the gamma values of 0.7, 0.8, and 0.9 was employed. Optimal gamma value selection was implemented using the gamma correlation coefficient test in SPSS software, leading to the calculation of the correlation coefficient and standard deviation.
Results and Discussion: The standard deviation calculations indicated that a gamma value of 0.7 has higher accuracy compared to other values. In the final map, areas around the city of Kahak were identified as the optimal location for constructing the 63.20 kV substation in Qom province

کلیدواژه‌ها [English]

  • 63/20 kV Substation
  • Network Analysis Process (ANP)
  • Geographic Information System (GIS)
  • Fuzzy Logic
  • Optimal Location

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