مکانیابی اتوبوسترها (AVRs) و بازآرایی شبکه هاي توزیع شعاعی به طور همزمان و مقاوم با در نظر گرفتن عدم قطعیت بار
محورهای موضوعی : مهندسی برق و کامپیوترمحمودرضا شاکرمی 1 * , یاسر محمدیپور 2
1 - دانشگاه لرستان
2 - دانشگاه لرستان
کلید واژه: بهینهسازي اجتماع ذرات عدد صحیح (IPSO) بازآرایی سیستم توزیع مکانیابی اتوبوستر (AVR) قابلیت اطمینان, تلفات توان عدم قطعیت بار,
چکیده مقاله :
در این تحقیق موضوع جایابی بهینه اتوبوسترها (AVRs) و بازآرایی شبکههاي توزیع به طور همزمان به عنوان یک مسئله بهینهسازي مطرح شده است. یک تابع هدف جدید شامل شاخصهاي تلفات توان حقیقی (اکتیو)، تلفات توان واکنشی (راکتیو)، پروفیل ولتاژ، قابلیت اطمینان، ظرفیت بارگذاري (MVA) سیستم و پایداري ولتاژ معرفی گردیده است. جهت مقاومنمودن وضعیت کلیدها در موضوع بازآرایی و همچنین مقاومنمودن مکان و تپ اتوبوسترها در مقابل تغییرات بار، سطوح مختلفی از بار به طور همزمان در تابع هدف در نظر گرفته شده است. به همین منظور یک روش جدید براي محاسبه سطوح بار با در نظر گرفتن عدم قطعیت بار معرفی شده است. همچنین بار نیز به صورت مدل وابسته به ولتاژ در نظر گرفته شده و به همین منظور سناریوهاي مختلفی معرفی شدهاند. براي حل این مسئله از الگوریتم بهینهسازي اجتماع ذرات عدد صحیح (IPSO) استفاده شده است. نتایج شبیهسازي روي سیستمهاي توزیع شعاعی 33 و 69شینه استاندارد IEEE مؤثربودن روش ارائهشده را نشان میدهد.
: In this paper, optimal locating for AVRs and reconfiguration of distribution networks were assessed simultaneously as an optimization problem. A new objective function was introducing which incorporated several electrical indices including real power losses, reactive power losses, reliability, voltage profile, voltage stability, and load capacity of lines (MVA). Various load levels were incorporated into the objective function to make sure that switch status in reconfiguration and AVR taps and locations would be robust against load variations. This paper also introduced a new method for calculating the load levels with respect to load uncertainty. It also considered all loads based on a voltage-dependent model. Several scenarios are defined to thoroughly assess the proposed approach. Integer particle swarm optimization algorithm (IPSO) was used to solve the mentioned optimization problem. The results obtained by the simulation of 33-bus and 69-bus standard IEEE .radial power distribution networks demonstrated the effectiveness of the proposed approach
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